Quantification of energy flexibility of residential net-zero-energy buildings involved with dynamic operations of hybrid energy storages and diversified energy conversion strategies
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Jensen, 2017, IEA EBC annex 67 energy flexible buildings, Energy Build., 155, 25, 10.1016/j.enbuild.2017.08.044
Finck, 2017, Quantifying demand flexibility of power-to-heat and thermal energy storage in the control of building heating systems, Appl. Energy, 209, 409, 10.1016/j.apenergy.2017.11.036
Wang, 2019, A review of marine renewable energy storage, Int. J. Energy Res.
Mlakar, 2019, Experimental and numerical analysis of seasonal solar-energy storage in buildings, Int. J. Energy Res., 10.1002/er.4449
Babatunde, 2019, A comprehensive state-of-the-art survey on power generation expansion planning with intermittent renewable energy source and energy storage, Int. J. Energy Res., 10.1002/er.4388
Reynders, 2018, Energy flexible buildings: An evaluation of definitions and quantification methodologies applied to thermal storage, Energy Build., 166, 372, 10.1016/j.enbuild.2018.02.040
Junker, 2018, Characterizing the energy flexibility of buildings and districts, Appl. Energy, 225, 175, 10.1016/j.apenergy.2018.05.037
Sun, 2019, A comprehensive thermodynamic analysis of load-flexible CHP plants using district heating network, Int. J. Energy Res.
Zhang, 2018, Energy flexibility from the consumer: Integrating local electricity and heat supplies in a building, Appl. Energy, 223, 430, 10.1016/j.apenergy.2018.04.041
Lopes, 2016, A literature review of methodologies used to assess the energy flexibility of buildings, Energy Procedia, 91, 1053, 10.1016/j.egypro.2016.06.274
Coninck, 2016, Quantification of flexibility in buildings by cost curves – Methodology and application, Appl. Energy, 162, 653, 10.1016/j.apenergy.2015.10.114
Lampropoulos, 2019, A framework for the provision of flexibility services at the transmission and distribution levels through aggregator companies, Sustain. Energy Grids Netw., 10.1016/j.segan.2018.100187
Vigna, 2018, New domain for promoting energy efficiency: Energy Flexible Building Cluster, Sustainable Cities Soc., 38, 526, 10.1016/j.scs.2018.01.038
Reynders, 2017, Generic characterization method for energy flexibility: Applied to structural thermal storage in residential buildings, Appl. Energy, 198, 192, 10.1016/j.apenergy.2017.04.061
Dréau, 2016, Energy flexibility of residential buildings using short term heat storage in the thermal mass, Energy, 111, 991, 10.1016/j.energy.2016.05.076
Nuytten, 2013, Flexibility of a combined heat and power system with thermal energy storage for district heating, Appl. Energy, 104, 583, 10.1016/j.apenergy.2012.11.029
Acar, 2019, A novel multicriteria sustainability investigation of energy storage systems, Int. J. Energy Res., 10.1002/er.4459
Stinner, 2016, Quantifying the operational flexibility of building energy systems with thermal energy storages, Appl. Energy, 181, 140, 10.1016/j.apenergy.2016.08.055
Z. Ma, J.D. Billanes, M.B. Kjærgaard, B.N. Jørgensen, The Energy Flexibility in the commercial buildings: from the business ecosystem perspective, in: 14th International Conference on the European Energy Market, EEM, 2017, http://dx.doi.org/10.1109/EEM.2017.7981962.
Alemany, 2018, Accentuating the renewable electricity exploitation: Evaluation of flexibility options, Int. J. Electr. Power Energy Syst., 10, 131, 10.1016/j.ijepes.2018.04.023
Lund, 2015, Review of energy system flexibility measures to enable high levels of variable renewable electricity, Renew. Sustain. Energy Rev., 45, 785, 10.1016/j.rser.2015.01.057
Kirkerud, 2017, Power-to-heat as a flexibility measure for integration of renewable energy, Energy, 128, 776, 10.1016/j.energy.2017.03.153
Péan, 2019, Review of control strategies for improving the energy flexibility provided by heat pump systems in buildings, J. Process Control Strategy. J. Process Control, 74, 35, 10.1016/j.jprocont.2018.03.006
Hammer, 2018, Increasing district heating networks efficiency by means of temperature-flexible operation, Sustain. Energy Grids Netw., 16, 393, 10.1016/j.segan.2018.11.001
Paiho, 2018, Increasing flexibility of Finnish energy systems—A review of potential technologies and means, Sustainable Cities Soc., 43, 509, 10.1016/j.scs.2018.09.015
Zhou, 2015, Modelling and assessment of the contribution of demand response and electrical energy storage to adequacy of supply, Sustain. Energy Grids Netw., 3, 12, 10.1016/j.segan.2015.06.001
Ghazvini, 2019, Congestion management in active distribution networks through demand response implementation, Sustain. Energy Grids Netw.
Bessler, 2018, Distributed flexibility management targeting energy cost and total power limitations in electricity distribution grids, Sustain. Energy Grids Netw., 14, 35, 10.1016/j.segan.2018.03.001
Cui, 2015, Evaluation of a fast power demand response strategy using active and passive building cold storages for smart grid applications, Energy Convers. Manage., 102, 227, 10.1016/j.enconman.2014.12.025
Drysdale, 2015, Flexible demand in the GB domestic electricity sector in 2030, Appl. Energy, 139, 281, 10.1016/j.apenergy.2014.11.013
Lizana, 2018, Energy flexible building through smart demand-side management and latent heat storage, Appl. Energy, 230, 471, 10.1016/j.apenergy.2018.08.065
T. Péan, B. Torres, J. Salom, J. Ortiz, Representation of daily profiles of building energy flexibility, in: 2018 eSim, the 10th Conference of International Building Performance Simulation Association, IBPSA, 2018, pp. 153–162.
Aduda, 2016, Demand side flexibility: Potentials and building performance implications, Sustainable Cities Soc., 22, 146, 10.1016/j.scs.2016.02.011
Li, 2019, Study on the operation strategy for integrated energy system with multiple complementary energy based on developed superstructure model, Int. J. Energy Res.
Zhou, 2019, Energy flexibility investigation of advanced grid-responsive energy control strategies with the static battery and electric vehicles: A case study of a high-rise office building in Hong Kong, Energy Convers. Manage.
Zhou, 2019, Energy integration and interaction between buildings and vehicles: A state-of-the-art review, Renew. Sustain. Energy Rev., 10.1016/j.rser.2019.109337
Zhou, 2019, Investigation of the flexibility of a residential net-zero energy building (NZEB) integrated with an electric vehicle in Hong Kong, Energy Procedia, 158, 2567, 10.1016/j.egypro.2019.02.005
Clauß, 2017, Control strategies for building energy systems to unlock demand side flexibility – A review
Finck, 2018
Afram, 2014, Theory and applications of HVAC control systems – A review of model predictive control (MPC), Build. Environ., 72, 343, 10.1016/j.buildenv.2013.11.016
Péan, 2019, Price and carbon-based energy flexibility of residential heating and cooling loads using model predictive control, Sustainable Cities Soc., 10.1016/j.scs.2019.101579
Yang, 2015, Reinforcement learning for optimal control of low exergy buildings, Appl. Energy, 156, 577, 10.1016/j.apenergy.2015.07.050
T. Wei, Y. Wang, Q. Zhu, Deep reinforcement learning for building HVAC control, in: The 54th Annual Design Automation Conference, 2017, pp. 1–6.
Ruusu, 2019, Direct quantification of multiple-source energy flexibility in a residential building using a new model predictive high-level controller, Energy Convers. Manage., 180, 1109, 10.1016/j.enconman.2018.11.026
Pedersen, 2017, Space heating demand response potential of retrofitted residential apartment blocks, Energy Build., 141, 158, 10.1016/j.enbuild.2017.02.035
Cao, 2013, Analysis and solution for renewable energy load matching for a single-family house, Energy Build., 65, 398, 10.1016/j.enbuild.2013.06.013
Meteonorm, https://meteonorm.com/.
Housing in Hong Kong, https://www.teoalida.com/world/hongkong/.
EMSD (Electrical and Mechanical Services Departament), 2015
Burnett, 2004
The Ministry of housing and urban and Rural Construction issued, 2012
PRCMC (People’s Republic of China Ministry of construction), 2002
A TRANSIENT SYSTEMs simulation program, Mechanical Engineering Department, UW Madison, https://sel.me.wisc.edu/trnsys/.
SEL (Solar Energy Laboratory, Univ. of Wisconsin-Madison), TRANSSOLAR (TRANSSOLAR Energietechnik GmbH), CSTB (Centre Scientifique et Technique du Bâtiment), TRNSYS 18 Vol. 04, Mathematical Reference, the documentations attached in the software package of TRNSYS 18.
ASWT, http://atlantissolar.com/turbine_30kw.html.
Cao, 2013, On-site energy matching indices for buildings with energy conversion, storage and hybrid grid connections, Energy Build., 64, 423, 10.1016/j.enbuild.2013.05.030
Hassan, 2017, Optimal battery storage operation for PV systems with tariff incentives, Appl. Energy, 203, 422, 10.1016/j.apenergy.2017.06.043