Bottom-up building stock retrofit based on levelized cost of saved energy

Energy and Buildings - Tập 210 - Trang 109757 - 2020
Ulrich Filippi Oberegger1, Roberta Pernetti1, Roberto Lollini1
1Institute for Renewable Energy, European Academy of Bolzano/Bozen, Viale Druso 1, Bolzano, Italy

Tài liệu tham khảo

Rogelj, 2018, Mitigation pathways compatible with 1.5 °C in the context of sustainable development Noris, 2013, Indoor environmental quality benefits of apartment energy retrofits, Build. Environ., 68, 170, 10.1016/j.buildenv.2013.07.003 Visscher, 2016, Towards an energy efficient European housing stock: monitoring, mapping and modelling retrofitting processes: special issue of energy and buildings, Energy Build., 132, 1, 10.1016/j.enbuild.2016.07.039 Aksoezen, 2015, Building age as an indicator for energy consumption, Energy Build., 87, 74, 10.1016/j.enbuild.2014.10.074 Dascalaki, 2016, Modeling energy refurbishment scenarios for the Hellenic residential building stock towards the 2020 & 2030 targets, Energy Build., 132, 74, 10.1016/j.enbuild.2016.06.003 EU Intelligent Energy Europe Programme, Project Tabula (Typology approach for building stock energy assessment), 2012. http://episcope.eu/iee-project/tabula/(accessed December 14, 2017). EU Intelligent Energy Europe Programme, Project Episcope (Energy performance indicator tracking schemes for the continuous optimisation of refurbishment processes in European housing stocks), 2016. http://episcope.eu/iee-project/episcope/(accessed August 9, 2019). Mastrucci, 2014, Estimating energy savings for the residential building stock of an entire city: a GIS-based statistical downscaling approach applied to Rotterdam, Energy Build., 75, 358, 10.1016/j.enbuild.2014.02.032 Siller, 2007, Long-term energy savings and greenhouse gas emission reductions in the Swiss residential sector, Energy Policy, 35, 529, 10.1016/j.enpol.2005.12.021 Petersdorff, 2006, Mitigation of CO2 emissions from the EU-15 building stock: beyond the EU Directive on the Energy Performance of Buildings, Environ. Sci. Pollut. Res. Int., 13, 350, 10.1065/espr2005.12.289 2003, European Parliament and Council of the European Union, Directive 2002/91/EC of the European Parliament and of the Council of 16 December 2002 on the energy performance of buildings, Official J. Eur. Commun., L 1 EN 832:1998 Thermal Performance of Buildings – Calculation of Energy Use For Heating – Residential buildings, CEN (European Committee for Standardization), 1998. Ballarini, 2017, Energy refurbishment of the Italian residential building stock: energy and cost analysis through the application of the building typology, Energy Policy, 105, 148, 10.1016/j.enpol.2017.02.026 2012, Off. J. Eur. Union Mata, 2013, A modelling strategy for energy, carbon, and cost assessments of building stocks, Energy Build., 56, 100, 10.1016/j.enbuild.2012.09.037 Uihlein, 2010, Policy options towards an energy efficient residential building stock in the EU-27, Energy Build., 42, 791, 10.1016/j.enbuild.2009.11.016 Guler, 2001, Impact of energy efficiency upgrade retrofits on the residential energy consumption in Canada, Int. J. Energy Res., 25, 785, 10.1002/er.721 Aranda, 2017, Analysis of energy efficiency measures and retrofitting solutions for social housing buildings in Spain as a way to mitigate energy poverty, Sustainability, 9, 1869, 10.3390/su9101869 Bull, 2014, Life cycle cost and carbon footprint of energy efficient refurbishments to 20th century UK school buildings, Int. J. Sust. Built Environ., 3, 1, 10.1016/j.ijsbe.2014.07.002 Kaklauskas, 2006, Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case, Energy Build., 38, 454, 10.1016/j.enbuild.2005.08.005 Gorgolewski, 1995, Optimising renovation strategies for energy conservation in housing, Build. Environ., 30, 583, 10.1016/0360-1323(95)00011-T Mauro, 2015, A new methodology for investigating the cost-optimality of energy retrofitting a building category, Energy Build., 107, 456, 10.1016/j.enbuild.2015.08.044 Albatici, 2016, A decision making tool for a comprehensive evaluation of building retrofitting actions at the regional scale, Sustainability, 8, 990, 10.3390/su8100990 Jakob, 2006, Marginal costs and co-benefits of energy efficiency investments. The case of the Swiss residential sector, Energy Policy, 34, 172, 10.1016/j.enpol.2004.08.039 Nino Streicher, 2017, Techno-economic potential of large-scale energy retrofit in the Swiss residential building stock, Energy Procedia, 122, 121, 10.1016/j.egypro.2017.07.314 Streicher, 2019, Analysis of space heating demand in the Swiss residential building stock: element-based bottom-up model of archetype buildings, Energy Build., 184, 300, 10.1016/j.enbuild.2018.12.011 Streicher, 2018, Assessment of the current thermal performance level of the swiss residential building stock: statistical analysis of energy performance certificates, Energy Build., 178, 360, 10.1016/j.enbuild.2018.08.032 Nägeli, 2018, Synthetic building stocks as a way to assess the energy demand and greenhouse gas emissions of national building stocks, Energy Build., 173, 443, 10.1016/j.enbuild.2018.05.055 Dall'O’, 2012, A methodology for evaluating the potential energy savings of retrofitting residential building stocks, Sust. Cities Society, 4, 12, 10.1016/j.scs.2012.01.004 Dall'O’, 2012, A methodology for the energy performance classification of residential building stock on an urban scale, Energy Build., 48, 211, 10.1016/j.enbuild.2012.01.034 Hoffman, 2017, Estimating the cost of saving electricity through U.S. utility customer-funded energy efficiency programs, Energy Policy, 104, 1, 10.1016/j.enpol.2016.12.044 Weather service of the Autonomous Province of Bozen/Bolzano, 2019. http://weather.provinz.bz.it/ (accessed September 16, 2019). 1993, D.P.R. (Decree of the President of the Italian Republic) 26/8/1993 n. 412, Annex A (in Italian) Ballarini, 2014, Use of reference buildings to assess the energy saving potentials of the residential building stock: the experience of TABULA project, Energy Policy, 68, 273, 10.1016/j.enpol.2014.01.027 Sokol, 2017, Validation of a Bayesian-based method for defining residential archetypes in urban building energy models, Energy Build., 134, 11, 10.1016/j.enbuild.2016.10.050 Tardioli, 2018, Identification of representative buildings and building groups in urban datasets using a novel pre-processing, classification, clustering and predictive modelling approach, Build. Environ., 140, 90, 10.1016/j.buildenv.2018.05.035 Pernetti, 2013, On the influence of several parameters in energy model calibration: the case of a historical building, 263 Pernetti, 2014 Reinhart, 2016, Urban building energy modeling – A review of a nascent field, Build. Environ., 97, 196, 10.1016/j.buildenv.2015.12.001 Fischer, 2016, Deliverable 2.2 Good practice district stimulator – Refinement of local master plans for smart energy cities transition: the experience of Bolzano and Innsbruck, SINFONIA (Smart INitiative of Cities Fully cOmmitted to iNvest In Advanced Large-Scaled Energy Solutions) 2017, EU Seventh Framework Programme for Research and Technological Development (FP7), Project SINFONIA (Smart INitiative of Cities Fully cOmmitted to iNvest In Advanced Large-Scaled Energy Solutions) Exner, 2017, Building-Stock analysis for the definition of an energy renovation scenario on the urban scale V. Corrado, I. Ballarini, S.P. Corgnati, National scientific report on the TABULA activities in Italy, 2012. http://www.building-typology.eu/downloads/public/docs/scientific/IT_TABULA_ScientificReport_POLITO.pdf (accessed December 21, 2017). 2013, Delibera 4/3/2013, n. 362 Prestazione energetica nell’edilizia, Allegato 3 – Metodologia di calcolo della prestazione energetica degli edifici (Resolution on building energy performance, Annex 3 – Calculation methodology) (in Italian), Giunta Provinciale Della Provincia Autonoma Di Bolzano (Provincial Government of Autonomous Province of Bolzano) 2009 Marco, 2016, Monitoring of Casanova low energy district: result and discussion, Energy Procedia, 96, 895, 10.1016/j.egypro.2016.09.162 Istat (Italian National Institute for Statistics), Censimento della popolazione e delle abitazioni - abitazioni occupate da persone residenti – dati comunali (Census of population and housing – dwellings occupied by residents – municipal data) (in Italian), 2011. http://dati-censimentopopolazione.istat.it/Index.aspx?DataSetCode=dica_abit_pr (accessed March 16, 2018). EU Alpine Space programme, Project AlpBC (Capitalising knowledge on Alpine Building Culture by performing regional smart planning and consultancy strategies for sustainable development), 2015. http://www.alpbc.eu/ (accessed December 14, 2017). Prina, 2018, Multi-objective optimization algorithm coupled to EnergyPLAN software: the EPLANopt model, Energy, 149, 213, 10.1016/j.energy.2018.02.050 Vaccaro, 2014, Piano d’Azione per l’Energia Sostenibile di Bolzano (Sustainable Energy Action Plan for Bolzano) (in Italian), Institute for Renewable Energy, Eurac Research Battiston, 2017 M. Carlini, M. Graiff, Potenziale energetico del futuro impianto di termovalorizzazione di Bolzano (Energy potential of the future waste incineration plant of Bolzano) (in Italian), 2012. http://www.eco-research.it/download/Relazione_studio_energetico.pdf (accessed September 16, 2019). Italian Province of Bolzano, Climate Strategy – South Tyrol Energy 2050, 2011. https://issuu.com/landsuedtirol-provinciabolzano/docs/417772_climate_strategy_energy_st20 (accessed November 22, 2017). Heinz, 2007, Developments within building technology and heating systems in Austria, IEA HPP Annex 32, Economical Heating and Cooling Systems for Low-Energy Houses 2015 Dermentzis, 2019, A comprehensive evaluation of a monthly-based energy auditing tool through dynamic simulations, and monitoring in a renovation case study, Energy Build., 183, 713, 10.1016/j.enbuild.2018.11.046 Troi, 2015 McLeod, 2012, A proposed method for generating high resolution current and future climate data for Passivhaus design, Energy Build., 55, 481, 10.1016/j.enbuild.2012.08.045 van Dijk, 2015, (prEN) ISO/DIS 52016-1, EPB Center 2017 2019 Elenco prezzi informativi opere edili (Informative construction price index) (in Italian), 2019. http://www.provincia.bz.it/lavoro-economia/appalti/elenco-prezzi-provinciale-online.asp (accessed March 21, 2019). 2019 NumPy 1.15.4, 2019. https://numpy.org/(accessed September 16, 2019). 2017 2007 Eurostat, Gas prices by type of user, 2018. http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&language=en&pcode=ten00118&plugin=1(accessed June 6, 2018). 2011 2016 2015