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Water use at pulverized coal power plants with postcombustion carbon capture and storage. Environ Sci Technol. 2011;45(6):2479–85.\nMacknick J, Sattler S, Averyt K, Clemmer S, Rogers J. The water implications of generating electricity: water use across the United States based on different electricity pathways through 2050. Environ Res Lett. 2012;7(4):045803. This study evaluates the national and regional water use of different low-carbon energy pathways and their changing trends over time.\nTidwell VC, Malczynski LA, Kobos PH, Klise GT, Shuster E. Potential impacts of electric power production utilizing natural gas, renewables and carbon capture and sequestration on US freshwater resources. Environ Sci Technol. 2013;47(15):8940–7.\nU.S. Energy Information Administration. Levelized cost and levelized avoided cost of new generation resources in the annual energy outlook 2014. Washington DC: Energy Information Administration; 2014.\nNational Energy Technology Laboratory. Cost and performance baseline for fossil energy plants. Vol. 1: bituminous coal and natural gas to electricity. Revision 2a. Pittsburgh: National Energy Technology Laboratory; 2013.\nU.S. Environmental Protection Agency. 2013 proposed carbon pollution standard for new power plants. Available at: http:\u002F\u002Fwww2.epa.gov\u002Fcarbon-pollution-standards\u002F2013-proposed-carbon-pollution-standard-new-power-plants. Accessed Sept 2014.\nZhai H, Rubin ES. Comparative performance and cost assessments of coal- and natural-gas-fired power plants under a CO2 emission performance standard regulation. Energy Fuels. 2013;27(8):4290–301.\nU.S. Environmental Protection Agency. Clean power plan proposed rule. Available at: http:\u002F\u002Fwww2.epa.gov\u002Fcarbon-pollution-standards\u002Fclean-power-plan-proposed-rule. Accessed Sep 2014.\nBaker J, Strzepek K, Farmer W, Schlosser CA. Quantifying the impact of renewable energy futures on cooling water use. J Am Water Resour Asssoc. 2014.\nZhai H, Rubin ES. Performance and cost of wet and dry cooling systems for pulverized coal power plants with and without carbon capture and storage. Energy Pol. 2010;38(10):5653–60.\nU.S. Environmental Protection Agency. Water: cooling water intakes. Available at: http:\u002F\u002Fwater.epa.gov\u002Flawsregs\u002Flawsguidance\u002Fcwa\u002F316b\u002F. Accessed Sep 2014.\nMacknick J, Newmark R, Heath G, Hallett KC. Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature. Environ Res Lett. 2012;7(4):045802. This study well summarizes water use intensities and their ranges for a broad range of electric power generation systems and cooling technologies.\nChandel MK, Pratson LF, Jackson RB. The potential impacts of climate-change policy on freshwater use in thermoelectric power generation. Energy Pol. 2011;39(10):6234–42. This study evaluates water impacts of different low-carbon scenarios and regional variability in water use.\nAveryt K, Macknick J, Rogers J, Madden N, Fisher J, Meldrum J, et al. Water use for electricity in the United States: an analysis of reported and calculated water use information for 2008. Environ Res Lett. 2013;8(1):015001.\nU.S. Energy Information Administration. The national energy modeling system: an overview 2009. DOE\u002FEIA-0581(2009). Washington, DC: Department of Energy; 2009.\nClemmer S, Rogers J, Sattler S, Macknick J, Mai T. Modeling low-carbon US electricity futures to explore impacts on national and regional water use. Environ Res Lett. 2013;8(1):015004. This study comparatively quantifies the effects of different low-carbon energy pathways on the regional and national water use.\nDavies EGR, Kyle P, Edmonds JA. An integrated assessment of global and regional water demands for electricity generation to 2095. Adv Water Resour. 2013;52:296–313.\nKyle P, Davies EGR, Dooley JJ, Smith SJ, Clarke LE, Edmonds JA, et al. Influence of climate change mitigation technology on global demands of water for electricity generation. Int J Greenh Gas Control. 2013;13:112–23.\nU.S. Environmental Protection Agency. U.S. national MARKAL database: database documentation. EPA-600\u002FR-06\u002F057. Washington, DC: Environmental Protection Agency; 2006.\nTalati S, Zhai H, Morgan MG. Water impacts of CO2 emission performance standards for fossil fuel-fired power plants. Environ Sci Technol. 2014;48(20):11769–76. This study systematically quantifies the water use impacts of new source performance standards for limiting CO2 emissions from coal and natural gas fired power plants.\nTidwell VC, Kobos PH, Malczynski LA, Klise G, Castillo CR. Exploring the water-thermoelectric power Nexus. J Water Resour Plan Manag. 2011;138(5):491–501. This study identifies possible regions that may face water challenges for different energy production roadmaps.\nArent D, Pless J, Mai T, Wiser R, Hand M, Baldwin S, et al. Implications of high renewable electricity penetration in the US for water use, greenhouse gas emissions, land-use, and materials supply. Appl Energy. 2014;123:368–77.\nWebster M, Donohoo P, Palmintier B. Water-CO2 trade-offs in electricity generation planning. Nat Clim Change. 2013;3(12):1029–32. This study evaluates the effects on a region’s electricity grid mix and cooling technology share from limiting CO2 emissions and water withdrawals.\nCameron C, Yelverton W, Dodder R, West JJ. Strategic responses to CO2 emission reduction targets drive shift in US electric sector water use. Energy Strateg Rev. 2014;4:16–27. This study evaluates the effects on water withdrawals and consumption from three levels of reductions in energy system-wide CO2 emissions.\nJiang M, Hendrickson CT, VanBriesen JM. Life cycle water consumption and wastewater generation impacts of a Marcellus shale gas well. Environ Sci Technol. 2014;48(3):1911–20.\nRubin ES, Mantripragada H, Marks A, Versteeg P, Kitchin J. The outlook for improved carbon capture technology. Prog Energy Combust Sci. 2012;38(5):630–71.\nZhai H, Rubin ES. Techno-economic assessment of polymer membrane systems for postcombustion carbon capture at coal-fired power plants. Environ Sci Technol. 2013;47(6):3006–14.\nCohen SM, Rochelle GT, Webber ME. Optimizing post-combustion CO2 capture in response to volatile electricity prices. Int J Greenh Gas Control. 2012;8:180–95.\nCastillo A, Gayme DF. Grid-scale energy storage applications in renewable energy integration: a survey. Energy Convers Manag. 2014;87:885–94.\nElectric Power Research Institute. Bulk energy storage impact and value analysis. Product ID: 1024288; 2012.\nDunn B, Kamath H, Tarascon J-M. Electrical energy storage for the grid: a battery of choices. Science. 2011;334(6058):928–35.\nVan Vliet MTH, Yearsley JR, Ludwig F, Vögele S, Lettenmaier DP, Kabat P. Vulnerability of US and European electricity supply to climate change. Nat Clim Chang. 2012;2(9):676–81.\nTidwell VC, Macknick J, Zemlick K, Sanchez J, Woldeyesus T. Transitioning to zero freshwater withdrawal in the US for thermoelectric generation. Appl Energy. 2014;131:508–16.\nWang D, Bao A, Kunc W, Liss W. Coal power plant flue gas waste heat and water recovery. Appl Energy. 2012;91(1):341–8.\nRoach JD, Heath JE, Kobos PH, Klise GT. System-level benefits of extracting and treating saline water from geologic formations during national-scale carbon capture and storage. Int J Greenh Gas Control. 2014;25:186–97.\nStillwell AS, Webber ME. Geographic, technologic, and economic analysis of using reclaimed water for thermoelectric power plant cooling. Environ Sci Technol. 2014;48(8):4588–95.\nHeng L, Chien S-H, Hsieh M-K, Dzombak DA, Vidic RD. Escalating water demand for energy production and the potential for use of treated municipal wastewater. Environ Sci Technol. 2011;45(10):4195–200.",{"EN":143},"Water is an integral element of energy production. Future US energy production will increasingly be driven by the need to mitigate climate change, posing complex water challenges. The water impacts of electricity generation in a carbon-constrained future have been a subject of active research. This paper reviews technologies and regulatory policy options for low-carbon electricity generation, including systems that use fossil fuels with carbon capture and storage, renewables such as wind, solar, and biomass, and nuclear energy. We also review cooling technologies in support of thermoelectric power generation, report and discuss current assessment methods and results on water use for low-carbon energy production, and identify adaptive approaches that could reinforce resilience for low-carbon electricity generation. Some recommendations are made for future research.",{"EN":145},"Water Impacts of a Low-Carbon Electric Power Future: Assessment Methodology and Status",{"VOID":147},"10.1007\u002Fs40518-014-0021-6","PUBLICATION","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs40518-014-0021-6",[151,169],{"id":152,"sortIndex":113,"researcher":20,"roles":153,"affiliations":155,"properties":166},"df254ca4-fd99-4419-aacb-56ac1733a1a5",[154],"AUTHOR",[156],{"id":20,"sortIndex":21,"affiliation":157,"properties":20},{"id":158,"createTime":159,"updateTime":160,"relativeEntities":161,"slug":162,"properties":163,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"512dea99-bf05-440b-a0d2-fd754bda3f42","2023-12-27T08:12:40.179+00:00","2024-10-08T05:59:56.327+00:00",[],"Department-of-Engineering-and-Public-Policy-Carnegie-Mellon-University-Pittsburgh-USA",{"title":164},{"VI":165},"Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, USA",{"title":167},{"VI":168},"Edward S. 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Africa 2030: Roadmap For a Renew Energy Future. IRENA, 2015. A well-structured and comprehensive assessment on renewable energy capacity in the region.\nMandelli S, Barbieri J, Mattarolo L, Colombo E. Sustainable energy in Africa: a comprehensive data and policies review. Renew Sust Energ Rev. 2014;37:656–86.\nSouthern African Power Pool. [Online]. Available: http:\u002F\u002Fwww.sapp.co.zw\u002F. [Accessed: 20-Jun-2018].\nPlanning Sub-Committee | Southern African Power Pool. [Online]. Available: http:\u002F\u002Fwww.sapp.co.zw\u002Fcoordination-centre\u002Fplanning-sub-committee. [Accessed: 20-Jun-2018].\nSADC, Protocol on Energy in the SADC Region SADC, Aug-1996.\nBungane B. Southern African power pool interview with Omar Vajeth. [Online]. Available: https:\u002F\u002Fwww.esi-africa.com\u002Fpower-pool-interview-with-omar-vajeth\u002F. [Accessed: 20-Jun-2018].\nSouthern African Development Community :: Hydropower. [Online]. Available: https:\u002F\u002Fwww.sadc.int\u002Fthemes\u002Finfrastructure\u002Fen\u002Fhydropower\u002F. [Accessed: 31-Jul-2018].\nJadhav AS, Chembe DK, Strauss JM, Van Niekerk JL. Status of solar technology implementation in the Southern African Developing Community (SADC) region. Renew Sust Energ Rev. 2017;73:622–31.\nWorld Development Indicators 2017, World Bank Group, Washington, Jun. 2017.\nCloser Look-CTF, Climate Investment Funds, 14-Dec-2017. [Online]. Available: https:\u002F\u002Fwww.climateinvestmentfunds.org\u002Fcloser-look\u002Fctf. [Accessed: 30-Aug-2018].\nChirambo D. Addressing the renewable energy financing gap in Africa to promote universal energy access: integrated renewable energy financing in Malawi. Renew Sust Energ Rev. 2016;62:793–803.\nEberhard A, Kåberger T. Renewable energy auctions in South Africa outshine feed-in tariffs. Energy Sci Eng. May 2016;4(3):190–3.\nSAPP, Southern African Power Pool Monthly Report : April 2018, R04–18, Apr. 2018.\nOseni MO and Pollit M. Institutional arrangements for the promotion of regional integration of electricity markets: International Experience. University of Cambridge; 2014.\n•• Sanoh A, Kocaman AS, Kocal S, Sherpa S, Modi V. The economics of clean energy resource development and grid interconnection in Africa. Renew Energy. 2014;62:598–609. Provides insights on the use of HVDC and hydropower. Also encourages institutional reform.\nWu GC, Deshmukh R, Ndhlukula K, Radojicic T, Reilly-Moman J, Phadke A, et al. Strategic siting and regional grid interconnections key to low-carbon futures in African countries. Proc Natl Acad Sci. 2017;114(15):E3004–12.\nMaviya J. Meeting growing power demands through Southern African regional integration, presented at the Southern African Poer Pool SAREE IRENA Workshop, Windhoek; 2017.\n• Barasa M, Bogdanov D, Oyewo AS, Breyer C. A cost optimal resolution for Sub-Saharan Africa powered by 100% renewables in 2030. Renew Sustain Energy Rev. 2018;92:440–57. Promotes PV and off-grid as an interim low-cost option.\nSAPP. Southern African Power Pool Monthly Report: December 2016, R12–16, 2016.\nSADC. Regional infrastructure development master plan - executive summary, Executive Summary, 2012.\nKibido M. The next generation of regional planning considerations for Southern Africa. 2016.\n•• Welsch M, et al. Smart and just grids for sub-Saharan Africa: exploring options. Renew Sustain Energy Rev. 2013;20:336–52. Advocates both off-grid and grid-tied solutions.\nMohammed YS, Mustafa MW, Bashir N. Status of renewable energy consumption and developmental challenges in sub-Sahara Africa. Renew Sust Energ Rev. 2013;27:453–63.\nMontmasson-Clair G and Deonarain B. Working paper: regional integration in southern Africa: a platform for electricity sustainability TIPS. 2017.\nJohnson O, Muhoza C, Ogeya M, Lindstrom A, Granit J, Rosner K. Powewring Africa - unlocking opportnunity for energy development in Southern Africa. Stolkholm Environment Institute; 2018.\nRose AM. Improving the performance of regional electricity markets in developing countries : the case of the Southern African power. Thesis, Massachusetts Institute of Technology; 2017.\nSouthern African power pool: planning and prospects for renewable energy. [Online]. Available: https:\u002F\u002Fwww.irena.org\u002FDocumentDownloads\u002FPublications\u002FSAPP.pdf. Accessed 20 Jun 2018.\nWright J. Over the transmission hurdle: assessing electrical transmission constraints for the Southern African power Pool (SAPP) in PLEXOS. 2014.\nSAPP. Southern African Power Pool Monthly Report: April 2017, R04–17, 2017.\nSAPP. Southern African Power Pool Monthly Report : October 2015, R10–15, 2015.\ngiz, Renewable energies and energy efficiency for a greener future. [Online]. Available: https:\u002F\u002Fwww.giz.de\u002Fen\u002Fworldwide\u002F17790.html. Accessed 31 Jul 2018.\nSAPP. Southern African Power Pool Monthly Report: November 2016, R11–16, 2016.\nOff-grid solar power booms in Africa, How We Made It In Africa, 19-Dec-2016. [Online]. Available: https:\u002F\u002Fwww.howwemadeitinafrica.com\u002Foff-grid-solar-power-booms-africa\u002F57033\u002F. Accessed 28 Aug 2018.",{"EN":220},"Southern Africa has an abundance of renewable energy resources, yet ~ 40% of its inhabitants do not have access to electricity. This paper summarizes the literature scan to understand the energy access challenge in the region, explores possible solutions, and examines the extent of planning and coordination at regional level aimed at exploiting energy from renewable energy sources and diversifying energy portfolios. The paper finds that the inhibiting factors are shortcomings in regional institutions and at government level, financial scarcity, inadequate grid, lack of interconnection among the member states, and a low skills base for renewable energy integration. The paper recommends empowering regional institutions to make binding decisions on regional energy planning; government commitment to renewable energy projects; innovative funding mechanisms; interconnecting all Southern African Power Pool (SAPP) countries; strengthening the existing interconnectors using high-voltage direct current (HVDC) and high-voltage alternating current (HVAC); accelerating renewable energy targets through hydropower, gradually increasing access by implementing off-grid, mini-grids, national grids, and eventually the regional SAPP grid; and improving skills in collaboration with countries that are experienced in renewable energy.",{"EN":222},"Scaling Up Renewables Through Regional Planning and Coordination of Power Systems in Africa—Regional Power System Planning to Harness Renewable Resources and Diversify Generation Portfolios in Southern 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Hadebe",{"id":243,"sortIndex":112,"researcher":20,"roles":244,"affiliations":245,"properties":251},"f7bdbd1e-d579-4fe2-a7be-93d7462790f6",[154],[246],{"id":20,"sortIndex":21,"affiliation":247,"properties":20},{"id":233,"createTime":234,"updateTime":234,"relativeEntities":248,"slug":20,"properties":249,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":250},{"VI":238},{"title":252},{"VI":253},"Caswell 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Kibido",{"id":267,"sortIndex":113,"researcher":20,"roles":268,"affiliations":269,"properties":275},"7d45e564-6325-494a-8411-9ddf3f6b8034",[154],[270],{"id":20,"sortIndex":21,"affiliation":271,"properties":20},{"id":233,"createTime":234,"updateTime":234,"relativeEntities":272,"slug":20,"properties":273,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":274},{"VI":238},{"title":276},{"VI":277},"Ahmed Hansa",{"url":225,"publisher":279,"properties":300},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":280,"slug":10,"properties":281,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":285,"manageAffiliations":286,"indexDatabases":287,"url":20,"thumbnailPath":20,"statistic":295,"gsStatistic":20,"type":130,"analyzePriority":20},[],{"issn":282,"title":283,"url":284},{"VOID":13},{"EN":15},{"VOID":17},[],[],[288],{"id":71,"indexDatabase":289,"url":84,"indexYears":85,"academicFieldIds":294,"indexDatabaseRanking":91},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":290,"label":291,"description":292,"key":81,"publicationTags":293,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89,90],{"impactFactor":21,"impactFactorByYear":296,"i10Index":101,"i10IndexLast5Year":102,"totalPublication":103,"totalPublicationByYear":297,"totalCitation":114,"totalCitationByYear":298,"totalCitationPerPublication":121,"totalCitationPerPublicationByYear":299,"hindexLast5Year":129,"hindex":129},{"2015":94,"2016":95,"2017":96,"2018":97,"2019":98,"2020":99,"2021":99,"2022":95,"2023":100},{"2014":105,"2015":106,"2016":107,"2017":108,"2018":106,"2019":109,"2020":110,"2021":111,"2022":112,"2023":110,"2024":113},{"2014":116,"2015":106,"2016":117,"2017":113,"2018":118,"2019":119,"2021":120},{"2014":123,"2015":113,"2016":124,"2017":125,"2018":126,"2019":127,"2021":128},{"volume":301,"pages":303},{"VOID":302},"5",{"VOID":304},"224-229","2018-10-23",2018,{"id":308,"createTime":309,"updateTime":310,"relativeEntities":311,"slug":312,"properties":313,"entityType":148,"verifyStatus":322,"verifyTime":310,"verifyNote":323,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":324,"fullTextUrl":20,"authors":325,"publicationType":181,"publisherRelationship":373,"citationCount":20,"citationInfo":20,"publishDate":399,"publishYear":210,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":211},"0891bd3a-c764-44cc-8aad-b09ce3a5e316","2024-01-26T12:15:13.016+00:00","2024-12-17T23:30:57.197+00:00",[],"Distribution-System-Planning-and-Innovation-for-Distributed-Energy-Futures",{"references":314,"abstract":316,"title":318,"doi":320},{"VOID":315},"NREL. “Power systems of the future.” NREL\u002FTP-6A20-62611. Golden, CO.; 2015.\nNREL. “Flexibility in 21st century power systems.” NREL Report 61721. Golden, CO.; 2014.\nVolk D. Electricity networks: infrastructure and operations. IEA Insight Paper, OECD\u002FIEA, Paris; 2013.\nInternational Energy Agency, Renewable Energy Technology Deployment (RETD). 2014. “RE-integration: integration of variable renewable electricity sources in electricity systems—lessons learnt and guidelines.” Paris: OECD, forthcoming.\nInternational Energy Agency. The power of transformation—wind, sun and the economics of flexible power systems. Paris: OECD; 2014.\nInternational Energy Agency. Energy technology perspectives 2014. Paris: OECD\u002FIEA; 2014.\nJones L. Renewable energy integration: practical management of variability, uncertainty, and flexibility in power grids. London: Elsevier; 2014.\nDenholm P, Jorgenson J, Hummon M, Jenkin T, Palchak D, Kirby B, Ma O, O'Malley M. The value of energy storage for grid applications. Golden, CO: NREL.; 2013, 45 pp.\nWikler G, Martin P, Shen B, Ghatikar G, Chun CN, Dudley JH. Addressing energy demand through demand response: international experiences and practices. Berkeley: LBNL; 2012. 38 pp.\nWatson DS, Matson NE, Page J, Kiliccote S, Piette MA, Corfee K, et al. Fast automated demand response to enable the integration of renewable resources. Berkeley: LBNL; 2012. 43 pp.\nGómez T. “Electricity distribution”, in Regulation of the power sector, Pérez-Arriaga, ed., pp. 199–250. London: Springer; 2013.\nWillis HL. Power distribution planning reference book. New York: Marcel Dekker; 2004.\nBorbely AM, JF Kreider, eds. Distributed generation: the power paradigm for the new millennium. CRC Press; 2001, 400 pp.\nDeMartini P. “More than smart: a framework to make the distribution grid more open, efficient, and resilient.” Pasadena: Resnick Institute, California Institute of Technology; 2014, 28 pp.\nKristov L, DeMartini P. “21st century electric distribution system operations.” Folsom: California Independent System Operator; 2014, 11 pp.\nElectric Power Research Institute. “The integrated grid: realizing the full value of central and distributed energy resources.” Palo Alto, CA; 2014. 44 pp.\nElectric Power Research Institute. “Integrating smart distributed energy resources with distribution management systems.” Palo Alto, CA; 2012. 13 pp.\nUnion of the Electricity Industry. “Active distribution system management: a key tool for the smooth integration of distributed generation.” Brussels: Eurelectric; 2013, 53 pp.\nPV GRID. “Prioritisation of technical solutions available for the integration of PV into the distribution grid.” Brussels; 2013.\nElectric Power Research Institute. Distributed energy resources and management of future distribution. Palo Alto, CA; 2010, 142 pp.\nBollen MH, Hassen F. Integration of distributed generation in the power system. IEEE Press Series on Power Engineering; 2011. 524 pp.\nNewcomb J, Lacy V, Hansen L, Bell M. “Distributed energy resources: policy implications of decentralization.” Electr J. 2013;26(8):65–87.\nWiedman J, Beach T. “Distributed generation policy: encouraging generation on both sides of the meter.” Electr J. 2013;26(8):88–108.\nInstitute for Electric Innovation. Innovations across the grid: partnerships transforming the power sector. Washington DC: Edison Foundation; 2014, 275 pp.\nPalensky P, Kupzog F. “Smart grids.” Annu Rev Environ Resour. 2013;38:201–36.\nInternational Energy Agency. Technology roadmap: smart grids. Paris; 2011, 52 pp.\nFox-Penner P. Smart power: climate change, the smart grid and the future of electric utilities. Washington DC: Island Press; 2010.\nKomor P, Hoke A, Kempener R. “Seven steps to a smarter grid.” Electr J. 2014;27(2):61–7.\nKempener R, Komor P, Hoke A. Smart grids and renewables: a guide for effective deployment. Bonn: International Renewable Energy Agency (IRENA); 2013. 44pp.\nNorth American Electricity Reliability Corporation. IVGTF task team 1–8, potential bulk system reliability impacts of distributed resources. Atlanta; 2011.\nLazar J. “Teaching the duck to fly.” Montpellier, VT: Regulatory Assistance Project; 2014. 25 pp.\nDissemination strategy on electricity balancing for large scale integration of renewable energy (DESIRE). Project Summary and Achievements; 2015. http:\u002F\u002Fdesire.iwes.fraunhofer.de\u002Fresults.htm\nAgora Energiewende. “Electricity storage in the german energy transition.” Berlin; 2014. 26 pp. [Has section on thermal energy storage.]\nAgora Energiewende. “12 insights on Germany’s energiewende.” Berlin; 2013. 36 pp.\nLehr RL. “New utility business models: utility and regulatory models for the modern era.” Electr J. 2013;26(8):35–53.\nSioshansi FP. “Why the time has arrived to rethink the electric business model.” Electr J. 2012;25(7):65–74.\nCalifornia Public Utilities Commission. “Interconnection (Rule 21)”; 2015. http:\u002F\u002Fwww.cpuc.ca.gov\u002FPUC\u002Fenergy\u002Frule21.htm\nElliott, R. “The integration of distribution level generation and storage into the grid: problems and solutions; grid planning and reliability policy paper.” San Francisco, CA: California Public Utilities Commission, Energy Division; 2014. http:\u002F\u002Fwww.cpuc.ca.gov\u002FNR\u002Frdonlyres\u002FDD76B018-7203-4864-B391-7DE680BA9E68\u002F0\u002FReportLatestAugust2014Version.pdf\nElectric Power Research Institute. “Common functions for smart inverters, Version 2,” Palo Alto, CA; 2012. Report 1026809.\nElectric Power Research Institute. “Grid impacts of distributed generation with advanced inverter functions: hosting capacity of large-scale PV using smart inverters,” Palo Alto, CA; 2013. Report 3002001246.\nCalifornia Public Utilities Commission. 2014. “Order instituting rulemaking on the commission’s own motion to improve distribution level interconnection rules and regulations for certain classes of electric generators and electric storage resources.” Rulemaking R. 11-09-011, Decision 14-12-035 December 18, 2014, “Interim decision adopting revisions to electric tariff Rule 21…to require ‘smart’ inverters.”\nMarkus Merkel, personal communication, June 30, 2014.\nEWE AG. “eTelligence final report.” Oldenburg, Germany; 2013.\nNew York Department of Public Service. “Reforming the energy vision (REV).” Staff paper. Albany, NY; 2014.\nNew York Department of Public Service. “Developing the REV market in New York: DPS staff straw proposal on track one issues.” Albany, NY; 2014.\nElectricity Currents, “New York state embarks on bold new vision.” Electricity J 27(6): 1-3.\nCalifornia Public Utilities Commission. 2014. “Order instituting rulemaking regarding policies, procedures and rules for development of distribution resources plans persuant to public utilities code Section 769.” Rulemaking R. 14-08-013 adopted August 14, 2014.\nElectricity Currents, “California confronts changing role of distribution.” The Electricity Journal 27(8): 1;4-7.\nCalifornia Assembly. Assembly Bill 327, Electricity: natural gas: rates: net energy metering: California renewables portfolio standard program. Sacramento, CA; 2013.\nAustralian Energy Regulator. Regulatory investment test for distribution (RIT-D) and application guidelines; 2013. http:\u002F\u002Fwww.aer.gov.au\u002Fnode\u002F19146\nSA Power Network. “Future operating model 2013–2028”; 2013. http:\u002F\u002Ftalkingpower.com.au\u002Fwordpress\u002Fwp-content\u002Fuploads\u002FSA-Power-Networks-Future-Operating-Model-2013%E2%80%932028.pdf",{"EN":317},"In the future, electric power distribution utilities will need to plan, operate and innovate in a variety of new ways to contend with the changing nature of electricity system resources and opportunities. A distributed energy future leads to changing paradigms, changing needs in planning and innovation by distribution utilities, and changing regulatory directions. The changing paradigm encompasses two-way power flows, local integration and balancing, functional control of distributed resources, the changing nature of the boundary between transmission and distribution systems, the changing nature of resources and customers, and new business models. Changing needs in planning and innovation include handling two-way reversible power flows; interconnecting storage and electric vehicles; controlling flexible-demand resources; distribution system monitoring, analysis and modeling; renewable energy output forecasting; smart inverters; and data networks, analysis, and storage. Examples of changing regulatory directions are seen in New York, California, and Australia.",{"EN":319},"Distribution System Planning and Innovation for Distributed Energy Futures",{"VOID":321},"10.1007\u002Fs40518-015-0027-8","VERIFIED","Auto Verify","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs40518-015-0027-8",[326,341,358],{"id":327,"sortIndex":112,"researcher":20,"roles":328,"affiliations":329,"properties":338},"cd2a0fb5-6bd7-4a0b-959b-573fddbb68c0",[154],[330],{"id":20,"sortIndex":21,"affiliation":331,"properties":20},{"id":332,"createTime":333,"updateTime":333,"relativeEntities":334,"slug":20,"properties":335,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"989f5dc4-402d-400c-a02c-4a88643f85b9","2023-12-28T15:06:32.513+00:00",[],{"title":336},{"VI":337},"California Public Utilities Commission, San Francisco, USA",{"title":339},{"VI":340},"J. David Erickson",{"id":342,"sortIndex":21,"researcher":20,"roles":343,"affiliations":344,"properties":355},"7c59d758-16d8-4c0e-aeed-9adcb9d2fe4d",[154],[345],{"id":20,"sortIndex":21,"affiliation":346,"properties":20},{"id":347,"createTime":348,"updateTime":349,"relativeEntities":350,"slug":351,"properties":352,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"4bf0d0f3-e80e-4cb8-a49b-ca3c074ac3ac","2024-04-14T18:06:46.550+00:00","2024-12-29T23:09:33.756+00:00",[],"School-of-Management-and-Economics-Beijing-Institute-of-Technology-Beijing-China",{"title":353},{"EN":354},"School of Management and Economics, Beijing Institute of Technology, Beijing, China",{"title":356},{"VI":357},"Eric Martinot",{"id":359,"sortIndex":113,"researcher":20,"roles":360,"affiliations":361,"properties":370},"c44607ed-ce6e-4097-95dd-f42aabb378e9",[154],[362],{"id":20,"sortIndex":21,"affiliation":363,"properties":20},{"id":364,"createTime":365,"updateTime":365,"relativeEntities":366,"slug":20,"properties":367,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"924dc39e-7719-44bc-8cf2-bee33f341470","2024-01-26T12:15:13.049+00:00",[],{"title":368},{"VI":369},"California Independent System Operator, Folsom, USA",{"title":371},{"VI":372},"Lorenzo Kristov",{"url":324,"publisher":374,"properties":395},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":375,"slug":10,"properties":376,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":380,"manageAffiliations":381,"indexDatabases":382,"url":20,"thumbnailPath":20,"statistic":390,"gsStatistic":20,"type":130,"analyzePriority":20},[],{"issn":377,"title":378,"url":379},{"VOID":13},{"EN":15},{"VOID":17},[],[],[383],{"id":71,"indexDatabase":384,"url":84,"indexYears":85,"academicFieldIds":389,"indexDatabaseRanking":91},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":385,"label":386,"description":387,"key":81,"publicationTags":388,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89,90],{"impactFactor":21,"impactFactorByYear":391,"i10Index":101,"i10IndexLast5Year":102,"totalPublication":103,"totalPublicationByYear":392,"totalCitation":114,"totalCitationByYear":393,"totalCitationPerPublication":121,"totalCitationPerPublicationByYear":394,"hindexLast5Year":129,"hindex":129},{"2015":94,"2016":95,"2017":96,"2018":97,"2019":98,"2020":99,"2021":99,"2022":95,"2023":100},{"2014":105,"2015":106,"2016":107,"2017":108,"2018":106,"2019":109,"2020":110,"2021":111,"2022":112,"2023":110,"2024":113},{"2014":116,"2015":106,"2016":117,"2017":113,"2018":118,"2019":119,"2021":120},{"2014":123,"2015":113,"2016":124,"2017":125,"2018":126,"2019":127,"2021":128},{"volume":396,"pages":397},{"VOID":206},{"VOID":398},"47-54","2015-04-25",{"id":401,"createTime":402,"updateTime":403,"relativeEntities":404,"slug":405,"properties":406,"entityType":148,"verifyStatus":322,"verifyTime":403,"verifyNote":323,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":415,"fullTextUrl":20,"authors":416,"publicationType":181,"publisherRelationship":468,"citationCount":20,"citationInfo":20,"publishDate":494,"publishYear":210,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":211},"72262344-6a73-424c-a2bd-345731fcc552","2023-12-13T06:07:16.162+00:00","2025-01-26T23:11:32.546+00:00",[],"Current-State-of-Anaerobic-Digestion-of-Organic-Wastes-in-North-America",{"references":407,"abstract":409,"title":411,"doi":413},{"VOID":408},"USDA, USEPA, USDOE. Biogas opportunities roadmap: Voluntary actions to reduce methane emissions and increase energy independence. Washington DC; 2014\nVan Hulle SWH, Vesvikar M, Poutiainen H, Nopens I. Importance of scale and hydrodynamics for modeling anaerobic digester performance. Chem Eng J. 2014;255:71.\nLeiva MB, Koupaie EH, Eskicioglu C. Anaerobic co-digestion of wine\u002Ffruit-juice production waste with landfill leachate diluted municipal sludge cake under semi-continuous flow operation. Waste Manag. 2014;34:1860.\nUS EPA. Food waste to energy: How six water resource recovery facilities are boosting biogas production and the bottom line. 2014\nMoriarty K. Feasibility Study of Anaerobic Digestion of Food Waste in St. Bernard, Louisiana: A study prepared in partnership with the Environmental Protection Agency for the RE-Powering America's land initiative. Prepared under Task No. WFD3.1001: National Renewable Energy Laboratory; 2013.\nGrimberg SJ, Hilderbrandt D, Kinnunen M, Rogers S. Anaerobic digestion of food waste through the operation of a mesophilic two-phase pilot scale digester—Assessment of variable loadings on system performance. Bioresour Technol. 2015;178:226.\nWang Q, Peng L, Su H. The effect of a buffer function on the semi-continuous anaerobic digestion. Bioresour Technol. 2013;139:43.\nShen Y, Linville JL, Urgun-Demirtas M, Mintz MM, Snyder SW. An overview of biogas production and utilization at full-scale wastewater treatment plants (WWTPs) in the United States: challenges and opportunities towards energy-neutral WWTPs. Renewable & Sustainable Energy Reviews 2015\nUS EPA. National Greenhouse Gas Emissions Data Draft Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990–2013. Washington, DC: US EPA; 2015.\nUS EPA. Municipal Solid Waste Generation, Recycling and Disposal in the United States: Facts and Figures for 2012. Washington, DC: US EPA; 2012.\nLevis JW, Barlaz MA. Is biodegradability a desirable attribute for discarded solid waste? Perspectives from a National Landfill Greenhouse Gas Inventory Model. Environ Sci Technol. 2011;45:5470.\nParry DL. Analyzing food waste management methods. BioCycle; 2013\nLevis JW, Barlaz MA. What is the most environmentally beneficial way to treat commercial food waste? Environ Sci Technol. 2011;45:7438.\nNaik N, Tkachenko E, Wung R. The anaerobic digestion of organic municipal solid waste in California. Berkeley, California: University of California, Berkeley; 2013.\nParry DL. Improving economics of codigestion. BioCycle; 2013\nRWI. Business Analysis of Anaerobic Digestion in the USA. March 2013: Renewable Waste Intelligence; 2013\nFitzgerald L. Anaerobic Digestion of Food Waste in new England Summer 2013 Report. EPA Region 1: US EPA; 2013.\nUSEPA. RFS Renewable Identification Number (RIN) Quality Assurance Program; Final Rule. 40 CFR Part 80. Washington, DC: United States Environmental Protection Agency; 2014.\nKlinkner BA. Anaerobic digestion as a renewable energy source and waste management technology: What must be done for this technology to realize success in the United States? : UMass Law Review; 2014\nZaman AU. A comprehensive review of the development of zero waste management: lessons learned and guidelines. J Clean Prod. 2015;91:12.\nYoshida H, Gable JJ, Park JK. Evaluation of organic waste diversion alternatives for greenhouse gas reduction. Resour Conserv Recycl. 2012;60:1.\nvan Haaren R, Themelis N, Goldtein N. The State of Garbage in America. BioCycle; 2010\nDe Baere L, Mattheeuws B. Anaerobic Digestion of the Organic Fraction of Municipal Solid Waste in Europe. Proceedings of the International Conference on Solid Waste. Hong Kong SAR, P.R. China, 2–6 May 2011: Proceedings of the International Conference on Solid Waste. Moving Towards Sustainable Resource Management; 2011, p. 517\nUSEPA. Opportunities for combined heat and power at wastewater treatment facilities: market analysis and lessons from the field. Washington DC: United States Environmental Protection Agency; 2011.\nUS EPA. Air Regulations for Municipal Waste Combustors. US EPA; 2012\nUSDA. Annual report manure and byproduct utilization national program. FY 2005: USDA Annual Report; 2005\nUS EPA. The benefits of anaerobic digestion of food waste at wastewater treatment facilities. Pacific Southwest Region 9; 2008.\nBozym M, Florczak I, Zdanowska P, Wojdalski J, Klimkiewicz M. An analysis of metal concentrations in food wastes for biogas production. Renew Energy. 2015;77:467.\nLou XF, Nair J, Ho G. Potential for energy generation from anaerobic digestion of food waste in Australia. Waste Manag Res. 2013;31:283.\nFNR. Basisdaten Biogas Deutschland. Gülzow: Fachagentur Nachwachsende Rohstoffe; 2005.\nFNR. Basisdaten Biogas Deutschland. Gülzow, Germany: Fachagentur Nachwachsende Rohstoffe; 2005.\nFNR. Guide to Biogas: From production to use. Eschborn, Germany: Fachagentur Nachwachsende Rohstoffe; 2012.\nMoody LB, Burns RT, Bishop G, Sell ST, Spajic R. Using biochemical methane potential assays to aid in co-substrate selection for co-digestion. Appl Eng Agric. 2011;27:433.\nGray DMD, Suto P, Peck C. Anaerobic digestion of Food Waste. Final Report. US EPA Region 9: Funding Opportunity No. EPA-R9-WST-06-004; 2008.\nOstrem K. Greening Waste: Anaerobic digestion for treating the organic fraction of municipal solid wastes. Columbia University: Earth Resources Engineering; 2004\nZeroWaste Energy LLC. SMARTFERM Dry AD Technology. http:\u002F\u002Fzerowasteenergy.com\u002F; Accessed Apr 17, 2015.\nChen Y, Cheng JJ, Creamer KS. Inhibition of anaerobic digestion process: a review. Bioresour Technol. 2008;99:4044.\nNaik L, Gebreegziabher Z, Tumwesige V, Balana BB, Mwirigi J, Austin G. Factors determining the stability and productivity of small scale anaerobic digesters. Biomass Bioenergy. 2014;70:51.\nZhang CS, Su HJ, Tan TW. Batch and semi-continuous anaerobic digestion of food waste in a dual solid–liquid system. Bioresour Technol. 2013;145:10.\nZhang L, Lee Y-W, Jahng D. Anaerobic co-digestion of food waste and piggery wastewater: focusing on the role of trace elements. Bioresour Technol. 2011;102:5048.\nZhang L, Jahng D. Long-term anaerobic digestion of food waste stabilized by trace elements. Waste Manag. 2012;32:1509.\nJimenez J, Guardia-Puebla Y, Romero-Romero O, Cisneros-Ortiz ME, Guerra G, Morgan-Sagastume JM, et al. Methanogenic activity optimization using the response surface methodology, during the anaerobic co-digestion of agriculture and industrial wastes. Microbial community diversity. Biomass Bioenergy. 2014;71:84.\nLopez RJ, Higgins SR, Pagaling E, Yan T, Cooney MJ. High rate anaerobic digestion of wastewater separated from grease trap waste. Renew Energy. 2014;62:234.\nDaelman MRJ, van Voorthuizen EM, van Dongen UGJM, Volcke EIP, van Loosdrecht MCM. Methane emission during municipal wastewater treatment. Water Res. 2012;46:3657.\nDaelman MRJ, Van Eynde T, van Loosdrecht MCM, Volcke EIP. Effect of process design and operating parameters on aerobic methane oxidation in municipal WWTPs. Water Res. 2014;66:308.\nBorjesson P. Biogas from waste materials as transportation fuel-benefits from an environmental point of view. Water Sci Technol. 2008;57:271.\nLiebetrau J, Clemens J, Cuhls C, Hafermann C, Friehe J, Weiland P, et al. Methane emissions from biogas-producing facilities within the agricultural sector. Eng Life Sci. 2010;10:595.\nHartley K, Lant P. Eliminating non-renewable CO2 emissions from sewage treatment: an anaerobic migrating bed reactor pilot plant study. Biotechnol Bioeng. 2006;95:384.\nQuasar Energy Group. Quasar Technology. http:\u002F\u002Fwww.quasarenergygroup.com\u002F; Accessed Apr 17, 2015.\nU.S. Dairy. Case Study - Food waste and third-party partnership. Innovation center for U.S. Dairy; 2013\nClemens H. Quasar Energy Group Anaerobic Digesters. Quasar Energy Group; 2013\nEquatenpk. Sustainable nutrient solutions for this generation…and the next. (Accessed May 29, 2014): http:\u002F\u002Fwww.equatenpk.com\u002Findex.html.\nBIOFerm Energy Systems. BIOFerm Energy Systems. http:\u002F\u002Fwww.biofermenergy.com\u002F; Accessed Apr 17, 2015.\nCleanWorld. CleanWorld. http:\u002F\u002Fwww.cleanworld.com\u002F; Accessed Apr 17, 2015.\nScano EA, Asquer C, Pistis A, Ortu L, Demontis V, Cocco D. Biogas from anaerobic digestion of fruit and vegetable wastes: experimental results on pilot-scale and preliminary performance evaluation of a full-scale power plant. Energy Convers Manag. 2014;77:22.\nConstantine TA. North American Experience with centrate treatment technologies for ammonia and nitrogen removal. WEFTEC, Proceedings of the Water Environment Federation; 2006\nChandrasekeran P, Urgun-Demirtas M, Pagilla KR. Aerobic membrane bioreactor for ammonium-rich wastewater treatment. Water Environ Res. 2007;79:2352.\nSorensen M. Codigestion in Central Florida. BioCycle; 2014, p. 48.\nHarvest Power. Harvest Power Technology. http:\u002F\u002Fwww.harvestpower.com\u002F; Accessed Apr 17, 2015.",{"EN":410},"With the large volumes of organic waste produced in the USA each year (78.7 million tons of organic municipal solid waste, 335 million tons of animal manure, and 130 million tons of biosolids), there is potential to develop a viable biogas industry via anaerobic digestion (AD) that can boost the economy and provide a reliable, distributed source of renewable energy while reducing greenhouse gas emissions. AD is a better practice for organic waste management than the current practice of landfilling or incineration. Since 2013, US public policy and market conditions have been looking increasingly favorable for the development of AD of organic waste. Some of the main barriers to commercialization of an AD industry include highly variable organic waste characteristics and volume, process economics, biogas cleanup requirements, policy, and public acceptance. This paper discusses new technologies to overcome these barriers with case studies from successful companies in the USA.",{"EN":412},"Current State of Anaerobic Digestion of Organic Wastes in North America",{"VOID":414},"10.1007\u002Fs40518-015-0039-4","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs40518-015-0039-4",[417,432,444,456],{"id":418,"sortIndex":113,"researcher":20,"roles":419,"affiliations":420,"properties":429},"45ed3319-fd68-4448-b7af-6d8aa93b61ef",[154],[421],{"id":20,"sortIndex":21,"affiliation":422,"properties":20},{"id":423,"createTime":424,"updateTime":424,"relativeEntities":425,"slug":20,"properties":426,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"63a0ad2b-c5d6-4500-89ce-f5d078706271","2023-12-22T02:43:20.564+00:00",[],{"title":427},{"VI":428},"Energy Systems Division, Argonne National Laboratory, Lemont, USA",{"title":430},{"VI":431},"Yanwen Shen",{"id":433,"sortIndex":21,"researcher":20,"roles":434,"affiliations":435,"properties":441},"aa19285d-ddeb-4669-b322-2a48a009768a",[154],[436],{"id":20,"sortIndex":21,"affiliation":437,"properties":20},{"id":423,"createTime":424,"updateTime":424,"relativeEntities":438,"slug":20,"properties":439,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":440},{"VI":428},{"title":442},{"VI":443},"Jessica L. Linville",{"id":445,"sortIndex":102,"researcher":20,"roles":446,"affiliations":447,"properties":453},"7612f4fd-198c-453e-8870-6d3509e5caa5",[154],[448],{"id":20,"sortIndex":21,"affiliation":449,"properties":20},{"id":423,"createTime":424,"updateTime":424,"relativeEntities":450,"slug":20,"properties":451,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":452},{"VI":428},{"title":454},{"VI":455},"Meltem Urgun-Demirtas",{"id":457,"sortIndex":112,"researcher":20,"roles":458,"affiliations":459,"properties":465},"db1545d2-80f6-4177-a70d-2e037c38b8f8",[154],[460],{"id":20,"sortIndex":21,"affiliation":461,"properties":20},{"id":423,"createTime":424,"updateTime":424,"relativeEntities":462,"slug":20,"properties":463,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":464},{"VI":428},{"title":466},{"VI":467},"May M. Wu",{"url":415,"publisher":469,"properties":490},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":470,"slug":10,"properties":471,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":475,"manageAffiliations":476,"indexDatabases":477,"url":20,"thumbnailPath":20,"statistic":485,"gsStatistic":20,"type":130,"analyzePriority":20},[],{"issn":472,"title":473,"url":474},{"VOID":13},{"EN":15},{"VOID":17},[],[],[478],{"id":71,"indexDatabase":479,"url":84,"indexYears":85,"academicFieldIds":484,"indexDatabaseRanking":91},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":480,"label":481,"description":482,"key":81,"publicationTags":483,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89,90],{"impactFactor":21,"impactFactorByYear":486,"i10Index":101,"i10IndexLast5Year":102,"totalPublication":103,"totalPublicationByYear":487,"totalCitation":114,"totalCitationByYear":488,"totalCitationPerPublication":121,"totalCitationPerPublicationByYear":489,"hindexLast5Year":129,"hindex":129},{"2015":94,"2016":95,"2017":96,"2018":97,"2019":98,"2020":99,"2021":99,"2022":95,"2023":100},{"2014":105,"2015":106,"2016":107,"2017":108,"2018":106,"2019":109,"2020":110,"2021":111,"2022":112,"2023":110,"2024":113},{"2014":116,"2015":106,"2016":117,"2017":113,"2018":118,"2019":119,"2021":120},{"2014":123,"2015":113,"2016":124,"2017":125,"2018":126,"2019":127,"2021":128},{"volume":491,"pages":492},{"VOID":206},{"VOID":493},"136-144","2015-10-01",{"id":496,"createTime":497,"updateTime":498,"relativeEntities":499,"slug":500,"properties":501,"entityType":148,"verifyStatus":322,"verifyTime":498,"verifyNote":323,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":510,"fullTextUrl":20,"authors":511,"publicationType":181,"publisherRelationship":548,"citationCount":20,"citationInfo":20,"publishDate":575,"publishYear":576,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":211},"e9f47c56-5346-4e27-853f-092c0a444442","2023-12-26T05:56:29.468+00:00","2024-12-08T23:03:52.870+00:00",[],"Mobility-and-Energy-Impacts-of-Shared-Automated-Vehicles-a-Review-of-Recent-Literature",{"references":502,"abstract":504,"title":506,"doi":508},{"VOID":503},"Broggi A, Bertozzi M, Fascioli A, Conte G. 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Transp Res Part C Emerg Technol. Elsevier. 2018;97:45–60. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.trc.2018.10.007.\nZhang W, Guhathakurta S, Fang J, Zhang G. The performance and benefits of a shared autonomous vehicles based 2 dynamic ridesharing system: an agent-based simulation approach. Transp Res Board. 2015;15.\nMartinez LM, Viegas JM. Assessing the impacts of deploying a shared self-driving urban mobility system: An agent-based model applied to the city of Lisbon. Portugal. Int J Transp Sci Technol. 2017;6:13–27. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijtst.2017.05.005.\nGreenblatt JB, Saxena S. Autonomous taxis could greatly reduce greenhouse-gas emissions of US light-duty vehicles. Nat Clim Chang. 2015;5:860–3. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fnclimate2685.\n• Wadud Z. Help or hindrance? Travel and energy implications of highly automated vehicles. Transp Res Part A. 2016;86:1–18. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.tra.2015.12.001This article presents estimates of changes in energy consumption due to different mechanisms related to vehicle automation and provides estimates of changes in energy consumption under multiple aumation scenarios.\nLu M, Taiebat M, Xu M, Hsu S-C. Multiagent spatial simulation of autonomous taxis for urban commute: travel economics and environmental impacts. J Urban Plan Dev. 2018;144:04018033. https:\u002F\u002Fdoi.org\u002F10.1061\u002F(ASCE)UP.1943-5444.0000469.",{"EN":505},"The purpose of this review is to present findings from recent research on Shared automated vehicles (SAV) impacts on mobility and energy. While the literature on potential SAV impacts on travel behavior and the environment is still developing, researchers have suggested that SAVs could reduce transportation costs and incur minimal increases in total trip time due to efficient routing to support pooling. Researchers also speculate that SAVs would result in a 55% reduction in energy use and ~ 90% reduction in greenhouse gas (GHG) emissions. SAV impacts on mobility and energy are uncertain. Researchers should carefully track SAV technology developments and adjust previous model assumptions based on real-world data to produce better impact estimates. SAVs could prove to be a next technological advancement that reshapes the transportation system by providing a safer, efficient, and less costly travel alternative.",{"EN":507},"Mobility and Energy Impacts of Shared Automated Vehicles: a Review of Recent Literature",{"VOID":509},"10.1007\u002Fs40518-019-00135-2","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs40518-019-00135-2",[512,533],{"id":513,"sortIndex":113,"researcher":20,"roles":514,"affiliations":515,"properties":530},"9138d781-f65b-46df-bb63-8068261bc174",[154],[516],{"id":517,"sortIndex":21,"affiliation":518,"properties":527},"8d3d31ce-9f15-44f7-b62a-5ad3ec2d4677",{"id":519,"createTime":520,"updateTime":521,"relativeEntities":522,"slug":523,"properties":524,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"26f7602f-35c0-4996-8876-8517a8cf0351","2024-01-16T22:21:17.660+00:00","2024-12-19T12:00:04.891+00:00",[],"Department-of-Civil-and-Environmental-Engineering-University-of-California-Berkeley-United-States",{"title":525},{"VI":526},"Department of Civil and Environmental Engineering, University of California, Berkeley, United States",{"title":528},{"VI":529},"Department of Civil and Environmental Engineering, University of California, Berkeley, USA",{"title":531},{"VI":532},"Mohamed Amine Bouzaghrane",{"id":534,"sortIndex":21,"researcher":20,"roles":535,"affiliations":536,"properties":545},"5ecaf457-832d-44bc-a4da-4e470f74e15e",[154],[537],{"id":20,"sortIndex":21,"affiliation":538,"properties":20},{"id":539,"createTime":540,"updateTime":540,"relativeEntities":541,"slug":20,"properties":542,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"fa0e2df6-8e75-4d4d-b4f0-7423adcbe5dc","2023-12-26T05:56:29.480+00:00",[],{"title":543},{"VI":544},"Department of Civil and Environmental Engineering and Transportation Sustainability Research Center, University of California, Berkeley, USA",{"title":546},{"VI":547},"Susan Shaheen",{"url":510,"publisher":549,"properties":570},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":550,"slug":10,"properties":551,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":555,"manageAffiliations":556,"indexDatabases":557,"url":20,"thumbnailPath":20,"statistic":565,"gsStatistic":20,"type":130,"analyzePriority":20},[],{"issn":552,"title":553,"url":554},{"VOID":13},{"EN":15},{"VOID":17},[],[],[558],{"id":71,"indexDatabase":559,"url":84,"indexYears":85,"academicFieldIds":564,"indexDatabaseRanking":91},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":560,"label":561,"description":562,"key":81,"publicationTags":563,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89,90],{"impactFactor":21,"impactFactorByYear":566,"i10Index":101,"i10IndexLast5Year":102,"totalPublication":103,"totalPublicationByYear":567,"totalCitation":114,"totalCitationByYear":568,"totalCitationPerPublication":121,"totalCitationPerPublicationByYear":569,"hindexLast5Year":129,"hindex":129},{"2015":94,"2016":95,"2017":96,"2018":97,"2019":98,"2020":99,"2021":99,"2022":95,"2023":100},{"2014":105,"2015":106,"2016":107,"2017":108,"2018":106,"2019":109,"2020":110,"2021":111,"2022":112,"2023":110,"2024":113},{"2014":116,"2015":106,"2016":117,"2017":113,"2018":118,"2019":119,"2021":120},{"2014":123,"2015":113,"2016":124,"2017":125,"2018":126,"2019":127,"2021":128},{"volume":571,"pages":573},{"VOID":572},"6",{"VOID":574},"193-200","2019-11-26",2019,{"id":578,"createTime":579,"updateTime":580,"relativeEntities":581,"slug":582,"properties":583,"entityType":148,"verifyStatus":322,"verifyTime":580,"verifyNote":323,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":592,"fullTextUrl":20,"authors":593,"publicationType":181,"publisherRelationship":645,"citationCount":20,"citationInfo":20,"publishDate":672,"publishYear":673,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":211},"ab0ababc-f107-4d49-aa71-d9ed0b033255","2023-11-25T06:32:17.161+00:00","2025-02-08T23:00:35.750+00:00",[],"Regulatory-Challenges-for-Energy-Infrastructure-Do-Electricity-Distribution-Remuneration-Schemes-in-Europe-Promote-the-Use-of-Flexibility-from-Connected-Users-",{"references":584,"abstract":586,"title":588,"doi":590},{"VOID":585},"Eurelectric. Flexibility and aggregation requirements for their interaction in the market [Internet]. (2014) Available from: https:\u002F\u002Fwww.usef.energy\u002Fapp\u002Fuploads\u002F2016\u002F12\u002FEURELECTRIC-Flexibility-and-Aggregation-jan-2014.pdf. Accessed 14 Mar 2023.\nBeFlexible project [Internet]. Available from: https:\u002F\u002Fbeflexible.eu\u002F Accessed 13 Mar 2023.\n•• Pérez-Arriaga IJ, Batlle C, Gómez T, Chaves JP, Rodilla P, Herrero I, et al. Utility of the future: an MIT Energy Initiative response to an industry in transition. In: Project: UOF-MIT. Funded by Massachusetts Institute of Technology (MIT); 2016. This report gives a detailed review of regulatory challenges for the distribution network with the adoption of DERs and the uncertainty associated with the uptake pace of these technologies. The study highlights some tools and considerations that may be useful for regulatory agencies under this context.\n•• Joskow PL. Incentive regulation in theory and practice: electricity distribution and transmission networks. University of Chicago Press [Internet]. 2014 Available from: https:\u002F\u002Fwww.nber.org\u002Fsystem\u002Ffiles\u002Fchapters\u002Fc12566\u002Fc12566.pdf Accessed 13 Mar 2023. This article gives an excellent conceptual approach for understanding electricity network regulation. Practical challenges are also discussed along with a critical review of some past experiences.\nCouncil of European Energy Regulators. Regulatory sandboxes in incentive regulation [Internet]. 2022 Available from: https:\u002F\u002Fwww.ceer.eu\u002Fdocuments\u002F104400\u002F-\u002F-\u002F72eab87d-9220-e227-1d26-557a63409c6b Accessed 13 Jun 2022.\nAnaya KL, Pollitt MG. How to procure flexibility services within the electricity distribution system: lessons from an international review of innovation projects. Energies. 2021;14(15):4475.\nEuropean Commission. Amending Regulations (EU) 2019\u002F943 and (EU) 2019\u002F942 as well as Directives (EU) 2018\u002F2001 and (EU) 2019\u002F944 to improve the Union’s electricity market design [Internet]. 2023 [cited 2023 Mar 16]. Available from: https:\u002F\u002Fenergy.ec.europa.eu\u002Fsystem\u002Ffiles\u002F2023-03\u002FCOM_2023_147_1_EN_ACT_part1_v5.pdf Accessed 16 Mar 2023.\nBurger SP, Jenkins JD, Batlle C. Pérez-Arriaga IJ. Restructuring revisited part 1: competition in electricity distribution systems. EJ [Internet]. 2019;40(3) Available from: http:\u002F\u002Fwww.iaee.org\u002Fen\u002Fpublications\u002Fejarticle.aspx?id=3352. Accessed 17 Mar 2023.\nVenegas FG. Active integration of electric vehicles into distribution grids: barriers and frameworks for flexibility services. Renew Sustain Energy Rev. 2021;16\nCouncil of European Energy Regulators. Regulatory frameworks report 2022 - main report [Internet]. 2023 Available from: https:\u002F\u002Fwww.ceer.eu\u002Fdocuments\u002F104400\u002F-\u002F-\u002F2a8f3739-f371-b84f-639e-697903e54acb Accessed 13 Mar 2023.\nI. Pérez-Arriaga, editor. Regulation of the power sector [Internet]. T. Gómez. London: Springer London; 2013 (Power Systems; vol. Monopoly Regulation). Available from: http:\u002F\u002Flink.springer.com\u002F10.1007\u002F978-1-4471-5034-3 Accessed 24 Aug 2022.\nCarenco JF, Chauvet C, Edwige C, Faucheux I, Lastelle L. Deliberation of the French Energy Regulatory Commission of 21 January 2021 on the tariffs for the use of public distribution electricity grids (TURPE 6 HTA-BT). 2021;168.\nAutorità per l’energia elettrica, il gas e il sistema idrico. Regolazione tariffaria dei servizi di trasmissione, distribuzione e misura dell’energia elettrica, per il periodo di regolazione 2016 - 2023 [Internet]. 2015 Available from: https:\u002F\u002Fwww.arera.it\u002Fallegati\u002Fdocs\u002F16\u002F654-15_039-16.pdf Accessed 2 Mar 2023.\nCNMC. Disposición 18261 del BOE núm. 304 de 2019.pdf [Internet]. Available from: https:\u002F\u002Fwww.boe.es\u002Fboe\u002Fdias\u002F2019\u002F12\u002F19\u002Fpdfs\u002FBOE-A-2019-18261.pdf. Accessed 7 Mar 2023.\nL. Werther. Forhandsreglering av elnatsavgifter. Energy Inspectorate [Internet]. (2009) Available from: https:\u002F\u002Fei.se\u002Fdownload\u002F18.4306b017176842faf913a7d\u002F1610530574125\u002FForhandsreglering-av-elnatsavgifterEIR200909.pdf.pdf. Accessed 16 Mar 2023.\nEnergy inspectorate. Reglering av el och gasnätsverksamhet utveckling sedan införandet av förhandsregleringen [Internet]. 2022. Available from: https:\u002F\u002Fei.se\u002Fdownload\u002F18.7311975517dc23d09e0194f6\u002F1643113357077\u002FReglering-av-el-och-gasn%C3%A4tsverksamhet-utveckling-sedan-inf%C3%B6randet-av-f%C3%B6rhandsregleringen-Ei-R2022-01.pdf. Accessed 14 Mar 2023.\nWallnerström CJ, Grahn E, Wigenborg G, Öhling LW, Robles HB, Alvehag K, et al. The regulation of electricity network tariffs in Sweden from 2016. Conference: Swedish Association for Energy Economics Conference 2016 (SAEE2016). 2016.\nCampbell F. RIIO-ED2 draft determinations – core methodology document. Ofgem. 2022:430.\nLomas P. RIIO-ED2 draft determinations – finance annex. Ofgem. 2022:216.\nAlexander E. RIIO-ED2 draft determinations – overview document. Ofgem. 2022:135.\n• Schachter JA, Mancarella P. A critical review of real options thinking for valuing investment flexibility in smart grids and low carbon energy systems. Renew Sustain Energy Rev. 2016;56:261–71 This article reviews real options methodologies and assess their potential benefits for the energy system as well as their limitations. This critical review discusses the potential of real options for valuing flexibility services under uncertainty.\nRuiz MA, Gómez T, Cossent R, Chaves JP. Distribution network planning during the energy transition: synergies between real options & flexibility mechanisms. Oxford Energy Forum. 2022;134:19–24.\n•• Schachter JA, Mancarella P, Moriarty J, Shaw R. Flexible investment under uncertainty in smart distribution networks with demand side response: assessment framework and practical implementation. Energy Policy. 2016;97:439–49. This article proposes a real options approach to capture the value of flexibility in distribution network planning under uncertainty. Modelling uncertainty with different demand scenarios may increase the value of flexibility over deterministic scenario analysis.",{"EN":587},"The electricity grid is facing important challenges in operation and planning due to the increase in intermittent renewable generation and the penetration of distributed energy resources. This article reviews the remuneration schemes of distribution system operators for fostering flexibility procurement in a representative sample of six selected European countries. Regulatory agencies should incentivize distribution system operators to properly deal with the growing uncertainty and take advantage of flexible resources connected to their grids to minimize the impact on electricity bills that upcoming challenges may have. Most of the reviewed regulatory frameworks still need to evolve towards removing barriers to flexibility services. The necessary steps in the evolution of remuneration schemes for distribution system operators include (i) promoting non-biased cost-efficiency, capital expenditures vs operational expenditures, and (ii) the possibility of flexible planning to deal with uncertainty.",{"EN":589},"Regulatory Challenges for Energy Infrastructure—Do Electricity Distribution Remuneration Schemes in Europe Promote the Use of Flexibility from Connected Users?",{"VOID":591},"10.1007\u002Fs40518-023-00214-5","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs40518-023-00214-5",[594,609,621,633],{"id":595,"sortIndex":112,"researcher":20,"roles":596,"affiliations":597,"properties":606},"fa176553-c5af-464a-8792-2bfdd5535ab0",[154],[598],{"id":20,"sortIndex":21,"affiliation":599,"properties":20},{"id":600,"createTime":601,"updateTime":601,"relativeEntities":602,"slug":20,"properties":603,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"8e88df2f-34ec-472b-a0b2-092428d6781f","2023-12-20T20:14:15.601+00:00",[],{"title":604},{"VI":605},"Instituto de Investigación Tecnológica, Universidad Pontificia Comillas, Madrid, Spain",{"title":607},{"VI":608},"José P. Chaves",{"id":610,"sortIndex":113,"researcher":20,"roles":611,"affiliations":612,"properties":618},"699acd23-3de2-409a-a4b9-43fd446ef3e4",[154],[613],{"id":20,"sortIndex":21,"affiliation":614,"properties":20},{"id":600,"createTime":601,"updateTime":601,"relativeEntities":615,"slug":20,"properties":616,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":617},{"VI":605},{"title":619},{"VI":620},"Tomás Gómez",{"id":622,"sortIndex":21,"researcher":20,"roles":623,"affiliations":624,"properties":630},"65ed2a20-a9f1-47e3-bc46-81858745beff",[154],[625],{"id":20,"sortIndex":21,"affiliation":626,"properties":20},{"id":600,"createTime":601,"updateTime":601,"relativeEntities":627,"slug":20,"properties":628,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":629},{"VI":605},{"title":631},{"VI":632},"Miguel A. Ruiz",{"id":634,"sortIndex":102,"researcher":20,"roles":635,"affiliations":636,"properties":642},"0a22ba8e-ee73-4f77-b138-257f6b5de5cf",[154],[637],{"id":20,"sortIndex":21,"affiliation":638,"properties":20},{"id":600,"createTime":601,"updateTime":601,"relativeEntities":639,"slug":20,"properties":640,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":641},{"VI":605},{"title":643},{"VI":644},"Rafael Cossent",{"url":592,"publisher":646,"properties":667},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":647,"slug":10,"properties":648,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":652,"manageAffiliations":653,"indexDatabases":654,"url":20,"thumbnailPath":20,"statistic":662,"gsStatistic":20,"type":130,"analyzePriority":20},[],{"issn":649,"title":650,"url":651},{"VOID":13},{"EN":15},{"VOID":17},[],[],[655],{"id":71,"indexDatabase":656,"url":84,"indexYears":85,"academicFieldIds":661,"indexDatabaseRanking":91},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":657,"label":658,"description":659,"key":81,"publicationTags":660,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89,90],{"impactFactor":21,"impactFactorByYear":663,"i10Index":101,"i10IndexLast5Year":102,"totalPublication":103,"totalPublicationByYear":664,"totalCitation":114,"totalCitationByYear":665,"totalCitationPerPublication":121,"totalCitationPerPublicationByYear":666,"hindexLast5Year":129,"hindex":129},{"2015":94,"2016":95,"2017":96,"2018":97,"2019":98,"2020":99,"2021":99,"2022":95,"2023":100},{"2014":105,"2015":106,"2016":107,"2017":108,"2018":106,"2019":109,"2020":110,"2021":111,"2022":112,"2023":110,"2024":113},{"2014":116,"2015":106,"2016":117,"2017":113,"2018":118,"2019":119,"2021":120},{"2014":123,"2015":113,"2016":124,"2017":125,"2018":126,"2019":127,"2021":128},{"volume":668,"pages":670},{"VOID":669},"10",{"VOID":671},"112-117","2023-06-09",2023,{"id":675,"createTime":676,"updateTime":677,"relativeEntities":678,"slug":679,"properties":680,"entityType":148,"verifyStatus":322,"verifyTime":689,"verifyNote":323,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":690,"fullTextUrl":20,"authors":691,"publicationType":181,"publisherRelationship":738,"citationCount":20,"citationInfo":20,"publishDate":765,"publishYear":766,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":211},"15ab166a-74ad-4ab7-8785-7942ecd88bf5","2024-02-05T15:33:18.565+00:00","2024-12-12T22:44:56.309+00:00",[],"Equity-in-Renewable-Energy-Technology-Adoption-in-China-a-Review-of-the-Social-Psychological-and-Demographic-Barriers",{"references":681,"abstract":683,"title":685,"doi":687},{"VOID":682},"Chen C-f, Wang Y, Adua L, Bai H. Reducing fossil fuel consumption in the household sector by enabling technology and behavior. Energy Res Soc Sci. 2020;60:101402. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.erss.2019.101402.\nChina’s National Development and Reform Commission (NDRC). 13th FYP development plan for renewable energy. China Energy Portal. 2016. https:\u002F\u002Fchinaenergyportal.org\u002Fen\u002F13th-fyp-development-plan-renewable-energy\u002F. Accessed 29 Dec 2020.\nCentral Compilation & Translation Press. The 13th five-year plan for economic and social development of the People’s Republic of China. Cent. Compil. Transl. Press 2016: 97–9. http:\u002F\u002Fen.ndrc.gov.cn\u002Fnewsrelease\u002F201612\u002FP020161207645765233498.pdf. Accessed 29 Dec 2020.\nEgbue O, Long S. Barriers to widespread adoption of electric vehicles: an analysis of consumer attitudes and perceptions. Energy Policy. 2012;48:717–29. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enpol.2012.06.009.\n•• Du H, Liu D, Sovacool BK, Wang Y, Ma S, Li RYM. Who buys new energy vehicles in China? Assessing social-psychological predictors of purchasing awareness, intention, and policy. Transp Res Part F Traffic Psychol Behav. 2018;58. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.trf.2018.05.008. A thorough evaluation of the social-psychological factors of EV adoption in China.\nSovacool BK, Hirsh RF. Beyond batteries: an examination of the benefits and barriers to plug-in hybrid electric vehicles (PHEVs) and a vehicle-to-grid (V2G) transition. Energy Policy. 2009;37(3):1095–103. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enpol.2008.10.005.\nAdhikari M, Ghimire LP, Kim Y, Aryal P, Khadka SB. Identification and analysis of barriers against electric vehicle use. Sustain. 2020;12(12):1–20. https:\u002F\u002Fdoi.org\u002F10.3390\u002FSU12124850.\n•• Chen C-f, Shau J, Li J, Nelson H, Wizem A, Cheng J. Linking social-psychological factors with policy expectations: using local voices to understand solar PV poverty alleviation in the Greater Wuhan Area, China. Energy Policy. In press 2020. Utilizes focus groups in villages throughout the Greater Wuhan Area, China to under the influence of social-psychological factors and policy expectations on PV adoption intention.\nLin B, Wu W. Why people want to buy electric vehicle: an empirical study in first-tier cities of China. Energy Policy. 2018;112:233–41. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enpol.2017.10.026.\nSierzchula W, Bakker S, Maat K, Van Wee B. The influence of financial incentives and other socio-economic factors on electric vehicle adoption. Energy Policy. 2014;68:183–94. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enpol.2014.01.043.\nZhang X, Wang K, Hao Y, Fan JL, Wei YM. The impact of government policy on preference for NEVs: the evidence from China. Energy Policy. 2013;61:382–93. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enpol.2013.06.114.\nChen C-f, Xu X, Frey S. Who wants solar water heaters and alternative fuel vehicles? Assessing social-psychological predictors of adoption intention and policy support in China. Energy Res Soc Sci. 2016;15:1–11. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.erss.2016.02.006.\nJin L, He H. Comparison of the electric car market in China and the United States. Int Council Clean Transp. 2019;10:1–13 https:\u002F\u002Ftheicct.org\u002Fsites\u002Fdefault\u002Ffiles\u002Fpublications\u002FICCT_US-China_EV-mkt-%20comp_20190523.pdf. Accessed 7 Jan 2021.\n• Huang Y, Qian L. Consumer preferences for electric vehicles in lower tier cities of China: evidences from south Jiangsu region. Transp Res Part D Transp Environ. 2018;63:482–97. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.trd.2018.06.017. A review of consumer preferences for EVs in China.\nQian L, Yin J. Linking Chinese cultural values and the adoption of electric vehicles: the mediating role of ethical evaluation. Transp Res Part D Transp Environ. 2017;56:175–88. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.trd.2017.07.029.\nChen KK. Assessing the effects of customer innovativeness, environmental value and ecological lifestyles on residential solar power systems install intention. Energy Policy. 2014;67:951–61.\nXiang P, Zhang H, Geng L, Zhou K, Wu Y. Individualist-collectivist differences in climate change inaction: the role of perceived intractability. Front Psychol. 2019;10:1–12. https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffpsyg.2019.00187.\n•• Sovacool BK, Abrahamse W, Zhang L, Ren J. Pleasure or profit? Surveying the purchasing intentions of potential electric vehicle adopters in China. Transp Res Part A Policy Pract. 2019;124:69–81. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.tra.2019.03.002. Analyzes Chinese consumers’ motivations for EV adoption intention.\nLi X, Li H, Wang X. Farmers’ willingness to convert traditional houses to solar houses in rural area: a survey of 465 households in Chongqing, China. Energy Policy. 2013;63:882–6. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enpol.2013.09.004.\nWolske KS, Gillingham KT, Schultz PW. Peer influence on household energy behaviours. Nat Energy. 2020;5:202–12. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41560-019-0541-9.\nWang Z, Li J, Liu J, Shuai C. Is the photovoltaic poverty alleviation project the best way for the poor to escape poverty? A DEA and GRA analysis of different projects in rural China. Energy Policy. 2020;137:111105. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enpol.2019.111105.\nLiu X, Sun Y, Kaloustian TS. Cultural factors influencing domestic adoption of solar photovoltaic technology: perspectives from China. China Media Res. 2015;11(4):28–42.\nYuan X, Zuo J, Ma C. Social acceptance of solar energy technologies in China - end users’ perspective. Energy Policy. 2011;39(3):1031–6. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enpol.2011.01.003.\nKarakaya E, Sriwannawit P. Barriers to the adoption of photovoltaic systems: the state of the art. Renew Sust Energ Rev. 2015;49:60–6. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rser.2015.04.058.\n• Li Y, Zhang Q, Wang G, McLellan B, Liu XF, Wang L. a review of photovoltaic poverty alleviation projects in China: Current status, challenge and policy recommendations. Renew Sust Energ Rev. 2018;94:214–33. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rser.2018.06.012. Identifies challenges in PV poverty alleviation in China and provides decent policy recommendations.\nUrban F, Geall S, Wang Y. Solar PV and solar water heaters in China: different pathways to low carbon energy. Renew Sust Energ Rev. 2016;64:531–42. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rser.2016.06.023.\nGeall S, Shen W. Gongbuzeren. Solar energy for poverty alleviation in China: state ambitions, bureaucratic interests, and local realities. Energy Res Soc Sci. 2018;41:238–48. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.erss.2018.04.035.\n•• Wang X, Xiong Y, Yang R, Yu P. Social psychological predictors of adoption intention for solar water heaters in rural China. Soc Behav Pers. 2019;47:12. https:\u002F\u002Fdoi.org\u002F10.2224\u002FSBP.8549. Utilizes survey data to determine what social-psychological factors influence of SWH adoption intention in rural China.\nYu Z, Gibbs D. Social ties, homophily and heterophily in urban sustainability transitions: user practices and solar water heater diffusion in China. Energy Res Soc Sci. 2018;46:236–44. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.erss.2018.07.029.\nMa B, Song G, Smardon RC, Chen J. Diffusion of solar water heaters in regional China: economic feasibility and policy effectiveness evaluation. 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E3S Web Conf. 2019;117. https:\u002F\u002Fdoi.org\u002F10.1051\u002Fe3sconf\u002F201911700012. Reviews the effectiveness of different PV policy instruments on poverty alleviation in China.\nThe London School of International Communication. The fear of not knowing - managing uncertainty across cultures. 2019. https:\u002F\u002Fwww.londonschool.com\u002Flsic\u002Fresources\u002Fblog\u002Ffear-not-knowing-managing-uncertainty-across-cultures\u002F. Accessed 7 Jan 2021.\nLukanov BR, Krieger EM. Distributed solar and environmental justice: exploring the demographic and socio-economic trends of residential PV adoption in California. Energy Policy. 2019;134:110935. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enpol.2019.110935.\nWinther T, Ulsrud K, Saini A. Solar powered electricity access: implications for women’s empowerment in rural Kenya. Energy Res Soc Sci. 2018;44:61–74. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.erss.2018.04.017.\nNational Bureau of Statistics of China. 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Determinates of consumer adoption attitudes: an empirical study of smart home services. Int J E-Adoption. 2013;5(2):40–56. https:\u002F\u002Fdoi.org\u002F10.4018\u002Fjea.2013040104.\nShin J, Park Y, Lee D. Who will be smart home users? An analysis of adoption and diffusion of smart homes. Technol Forecast Soc Chang. 2018;134:246–53. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.techfore.2018.06.029.\nCenter on Global Energy Policy. Guide to Chinese climate policy: electric vehicles. Columbia University. No date. https:\u002F\u002Fchineseclimatepolicy.energypolicy.columbia.edu\u002Fen\u002Felectric-vehicles. Accessed Jan. 1, 2021.\n• Nicholls L, Strengers Y, Sadowski J. Social impacts and control in the smart home. Nat Energy. 2020;5(3):180–2. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41560-020-0574-0. Reveals how SHTs can be used for violence against women and contributes to closing the equity gap in research.",{"EN":684},"Renewable energy research in China often underestimates the impact of non-technical or human factors on adoption, as well as the impacts of these factors on energy inequality. This review investigates how social-psychological and demographic factors influence the adoption of electric vehicles, photovoltaic panels, solar water heaters, and smart home technology, especially in rural China. Renewable energy technology adoption in China is extensive, but many social-psychological and demographics barriers to greater diffusion have not been addressed in research or policy. Studies suggest that subjective norms, perceived behavioral control, government support, and knowledge about the technology are the most important social-psychological factors affecting adoption intention in China. Demographic factors and concomitant equity issues have received little attention are largely unstudied in China-specific research and constitutes a major research gap. The limited available literature suggests that the significant demographic factors are, income, urban versus rural setting, education, and cultural values weighted towards collectivism and uncertainty avoidance. We conclude with future research opportunities and policy recommendations.",{"EN":686},"Equity in Renewable Energy Technology Adoption in China: a Review of the Social-Psychological and Demographic Barriers",{"VOID":688},"10.1007\u002Fs40518-021-00175-7","2024-12-12T22:44:56.308+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs40518-021-00175-7",[692,707,726],{"id":693,"sortIndex":21,"researcher":20,"roles":694,"affiliations":695,"properties":704},"1f968138-c4b1-4b4e-bb71-6ef79a9543cb",[154],[696],{"id":20,"sortIndex":21,"affiliation":697,"properties":20},{"id":698,"createTime":699,"updateTime":699,"relativeEntities":700,"slug":20,"properties":701,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"97cc413c-9473-433a-8858-127b0aa4e417","2024-02-05T15:33:18.592+00:00",[],{"title":702},{"VI":703},"Center for Ultra-wide-area Resilient Electrical Energy Transmission Networks (CURENT), Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA",{"title":705},{"VI":706},"Hannah Nelson",{"id":708,"sortIndex":112,"researcher":20,"roles":709,"affiliations":710,"properties":723},"76694e71-35b6-43fa-a83e-560cc680694b",[154],[711],{"id":712,"sortIndex":21,"affiliation":713,"properties":720},"881bf27f-97e8-4907-931d-085b42fd64de",{"id":714,"createTime":715,"updateTime":715,"relativeEntities":716,"slug":20,"properties":717,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"87a1be74-9837-4afd-b167-5d9ab6dba2ca","2024-02-12T03:51:49.750+00:00",[],{"title":718},{"VI":719},"Department of Sociology, University of Tennessee, Knoxville, U.S.A",{"title":721},{"VI":722},"Department of Sociology, University of Tennessee, Knoxville, USA",{"title":724},{"VI":725},"Jiayi Li",{"id":727,"sortIndex":113,"researcher":20,"roles":728,"affiliations":729,"properties":735},"07012a9c-dc6b-40db-bd73-d62cf847e2d3",[154],[730],{"id":20,"sortIndex":21,"affiliation":731,"properties":20},{"id":698,"createTime":699,"updateTime":699,"relativeEntities":732,"slug":20,"properties":733,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":734},{"VI":703},{"title":736},{"VI":737},"Chien-fei 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Newly constructed GIS-based zoning database, used in the context of planning, bringing new insights on temporal and spatial complementarity of renewable resources into long-term planning.\nSpalding-Fecher R, Senatla M, Yamba F, Lukwesa B, Himunzowa G, Heaps C, et al. Electricity supply and demand scenarios for the Southern African power pool. Energy Policy. 2017;101(2016):403–14.\nTaliotis C, Bazilian M, Welsch M, Gielen D, Howells M. Grand Inga to power Africa: hydropower development scenarios to 2035. Energy Strategy Rev. 2014;4:1–10.\nMentis D, Siyal SH, Korkovelos A, Howells M. Estimating the spatially explicit wind generated electricity cost in Africa - a GIS based analysis. Energy Strategy Rev. 2017;17:45–9.\nOuedraogo NS. Modeling sustainable long-term electricity supply-demand in Africa. Appl Energy. 2017;190:1047–67.\nSchwerhoff G, Sy M. Developing Africa’s energy mix. Clim Policy. 2018;5:1–17.\nvan der Zwaan B, Kober T, Longa FD, van der Laan A, Jan KG. 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Available from: http:\u002F\u002Fbulletin.ids.ac.uk\u002Fidsbo\u002Farticle\u002Fview\u002F2912\nMentis D, Howells M, Rogner H, Korkovelos A, Arderne C, Zepeda E, et al. Lighting the world: the first application of an open source, spatial electrification tool (OnSSET) on Sub-Saharan Africa. Environ Res Lett. 2017;12(8):085003.\nDagnachew AG, Lucas PL, Hof AF, Gernaat DEHJ, de Boer H-S, van Vuuren DP. The role of decentralized systems in providing universal electricity access in Sub-Saharan Africa – a model-based approach. Energy. 2017;139:184–95.\nTrotter PA, Maconachie R, McManus MC. Solar energy’s potential to mitigate political risks: the case of an optimised Africa-wide network. Energy Policy. 2018;117:108–26.\nTrotter PA, Maconachie R, McManus MC. The impact of political objectives on optimal electricity generation and transmission in the Southern African Power Pool. J Energy South Afr. 2017;28(3):27.\n• Bazilian M, Chattopadhyay D. Considering power system planning in fragile and conflict states. Energy Sustain Dev. 2016;32:110–20. Novel approach to factor in political risks in long-term planning based on a least-cost investment optimisation model, which makes the results more relevant in selected fragile and conflict states in Africa.",{"EN":1023},"In light of the urgent need and ambition of African communities to scale up the deployment of renewable energy, this article explores the benefits and challenges presented by regional coordination in Africa, and how recent planning studies are reflecting those aspects in their analysis of future power sector expansion on the continent. Regional approaches to renewable deployment in Africa can reduce overall system costs and improve operation by expanding access to higher quality renewable resources, while unlocking a greater diversity of renewable options. Regional approaches can also provide greater flexibility and stability to national power systems, as well as complementarity that allows countries to scale up development of single sources while still reducing risks related to climate variability and future change. Based on a long history of experience, the benefits of regional approaches to power sector development and operation are now well established. New methodologies using more granular geospatial and temporal data have emerged to make the analysis of these benefits more feasible and more detailed. Novel additions to planning studies are also presenting more nuanced insights into the implications that climate change, technological innovations, and socio-political influences could have on regional renewable energy deployment.",{"EN":1025},"Benefits, Challenges, and Analytical Approaches to Scaling Up Renewables Through Regional Planning and Coordination of Power Systems in 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A, Newman AM, Bazilian M. Reservoir design and operation for the food-energy-water Nexus. Current Sustainable\u002FRenewable Energy Reports 2019;6:71–89.",{"doi":1169},"10.1007\u002Fs40518-019-00126-3",{"id":20,"text":1171,"url":20,"identifiers":1172},"Avraam C, Zhang Y, Sankaranarayanan S, Zaitchik B, Moynihan E, Juturu P, Neff R, Siddiqui S. Optimization-based systems modeling for the food-energy-water nexus. Current Sustainable\u002FRenewable Energy Reports 2021;8:4–16.",{"doi":1173},"10.1007\u002Fs40518-020-00161-5",{"id":20,"text":1175,"url":20,"identifiers":1176},"García-Morales MB, Dubus L. Forecasting precipitation for hydroelectric power management: how to exploit GCM’s seasonal ensemble forecasts. Int J Climatol 2007;27:1691–1705.",{"doi":1177},"10.1002\u002Fjoc.1608",{"id":20,"text":1179,"url":20,"identifiers":1180},"Boucher M-A, Ramos MH. Ensemble streamflow forecasts for hydropower systems. Handbook of hydrometeorological ensemble forecasting. In: Duan Q, Pappenberger F, Wood A, Cloke HL, and Schaake JC, editors. Berlin: Springer; 2019. p. 1289–1306.",{"doi":1181},"10.1007\u002F978-3-642-39925-1_54",{"id":20,"text":1183,"url":20,"identifiers":1184},"Singh VK, Singal SK. Operation of hydro power plants-a review. Renew Sustain Energy Rev 2017;69:610–619.",{"doi":1185},"10.1016\u002Fj.rser.2016.11.169",{"id":20,"text":1187,"url":20,"identifiers":1188},"Gfrerer H. Optimization of hydro energy storage plant problems by variational methods. Zeitschrift für Oper Res 1984;28:B87–B101.",{},{"id":20,"text":1190,"url":20,"identifiers":1191},"Bauer W, Gfrerer H, Wacker H. Optimization strategies for hydro energy storage plants. Zeitschrift für Oper Res 1984;28:B103–B131.",{},{"id":20,"text":1193,"url":20,"identifiers":1194},"Catalão J, Mariano SJPS, Mendes VMF, Ferreira LAFM. Scheduling of head-sensitive cascaded hydro systems: a nonlinear approach. IEEE Trans Power Syst 2009;24:337–346.",{"doi":1195},"10.1109\u002FTPWRS.2008.2005708",{"id":20,"text":1197,"url":20,"identifiers":1198},"Pousinho HMI, Contreras J, Catalão JPS. Short-term optimal scheduling of a price-maker hydro producer in a pool-based day-ahead market. IET Generation, Transmission & Distribution 2012;6:1243–1251.",{"doi":1199},"10.1049\u002Fiet-gtd.2012.0101",{"id":20,"text":1201,"url":20,"identifiers":1202},"Philpott AB, Craddock M, Waterer H. Hydro-electric unit commitment subject to uncertain demand. Eur J Oper Res 2000;125:410–424.",{"doi":1203},"10.1016\u002FS0377-2217(99)00172-1",{"id":20,"text":1205,"url":20,"identifiers":1206},"Pérez-Díaz JI, Chazarra M, García-González J, Cavazzini G, Stoppato A. Trends and challenges in the operation of pumped-storage hydropower plants. Renew Sustain Energy Rev 2015;44: 767–784.",{"doi":1207},"10.1016\u002Fj.rser.2015.01.029",{"id":20,"text":1209,"url":20,"identifiers":1210},"Séguin S., Fleten S-E, Côté P., Pichler A, Audet C. Stochastic short-term hydropower planning with inflow scenario trees. Eur J Oper Res 2017;259:1156–1168.",{"doi":1211},"10.1016\u002Fj.ejor.2016.11.028",{"id":20,"text":1213,"url":20,"identifiers":1214},"Marchand A, Gendreau M, Blais M, Guidi J. Optimized operating rules for short-term hydropower planning in a stochastic environment. Comput Manag Sci 2019;16:501–519.",{"doi":1215},"10.1007\u002Fs10287-019-00348-2",{"id":20,"text":1217,"url":20,"identifiers":1218},"• Taktak R, D’Ambrosio C. An overview on mathematical programming approaches for the deterministic unit commitment problem in hydro valleys. Energy Systems 2017;8:57–79. 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