Demand response in buildings: Unlocking energy flexibility through district-level electro-thermal simulation

被引:29
作者
Amin, Amin [1 ]
Kem, Oudom [2 ]
Gallegos, Pablo [3 ]
Chervet, Philipp [4 ]
Ksontini, Feirouz [2 ]
Mourshed, Monjur [1 ]
机构
[1] Cardiff Univ, Sch Engn, Cardiff CF24 3AA, Wales
[2] Univ Paris Saclay, CEA, List, F-91120 Palaiseau, France
[3] EMEAI, ENGIE Impact, Brussels, Belgium
[4] CSEM SA, Embedded Software Grp, Neuchatel, Switzerland
基金
欧盟地平线“2020”;
关键词
Demand response; Energy prediction; Energy optimisation; District simulation; Smart grid; SYSTEMS; MANAGEMENT; STORAGE; ALGORITHMS; PROGRAMS; BENEFITS;
D O I
10.1016/j.apenergy.2021.117836
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
European Union households account for 26% of the final energy consumption, yet their participation in demand response (DR) schemes is virtually non-existent. Relatively small amounts of flexibility primarily from appliances and the lack of DR-enabled energy management solutions in homes have been identified as the main barriers. As part of a Horizon 2020 funded collaborative research and development project, we developed a cloud-based framework for intelligent optimisation of electricity consumption and generation in buildings to upscale and enhance their demand response effectiveness at a district level. Through electro-thermal simulations that unlock building flexibility while considering low-voltage grid constraints, our approach aims to extend technical and economic potential of the whole solution for wider replication at a low computational cost. The framework simultaneously schedules the operation of controllable appliances such as dishwashers, washing machines and dryers in buildings to further reduce peak loads and energy costs of the district. The framework was tested in a real UK district comprising 66 dwellings, which demonstrated its effectiveness in minimising electricity peak loads and costs by prioritising local consumption of the electricity produced from photovoltaics and exploiting the asymmetry on the time-varying electricity tariff. The results show the ability to achieve an average 30% reduction in energy costs for the district while adhering to low-voltage grid constraints.
引用
收藏
页数:13
相关论文
共 36 条
[1]   A novel approach to multi energy system operation in response to DR programs; an application to incentive-based and time-based schemes [J].
Aghamohamadi, Mehrdad ;
Hajiabadi, Mohammad Ebrahim ;
Samadi, Mahdi .
ENERGY, 2018, 156 :534-547
[2]  
[Anonymous], 2014, SOL INT WORKSH
[3]  
[Anonymous], 2007, 2007 IEEE POW ENG SO
[4]   Developing English domestic occupancy profiles [J].
Aragon, Victoria ;
Gauthier, Stephanie ;
Warren, Peter ;
James, Patrick A. B. ;
Anderson, Ben .
BUILDING RESEARCH AND INFORMATION, 2019, 47 (04) :375-393
[5]   Measures to improve energy demand flexibility in buildings for demand response (DR): A review [J].
Chen, Yongbao ;
Xu, Peng ;
Gu, Jiefan ;
Schmidt, Ferdinand ;
Li, Weilin .
ENERGY AND BUILDINGS, 2018, 177 :125-139
[6]   Influence of Input Climatic Data on Simulations of Annual Energy Needs of a Building: EnergyPlus and WRF Modeling for a Case Study in Rome (Italy) [J].
Ciancio, Virgilio ;
Falasca, Serena ;
Golasi, Iacopo ;
Curci, Gabriele ;
Coppi, Massimo ;
Salata, Ferdinando .
ENERGIES, 2018, 11 (10)
[7]  
Fortin M., 1983, STUDIES MATH ITS APP, V15, P97, DOI [DOI 10.1016/S0168-2024(08)70028-6, 10.1016/S0168-2024(08)70028-6]
[8]  
Frederik Geth, 2016, 2016 IEEE INT EN C, P1
[9]   Analysis of Residential Demand Response and Double-Auction Markets [J].
Fuller, J. C. ;
Schneider, K. P. ;
Chassin, D. .
2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
[10]  
Intertek, 2020, DOM BATT EN STOR SYS