A Novel Hybrid Home Energy Management System Considering Electricity Cost and Greenhouse Gas Emissions Minimization

被引:28
作者
Barja-Martinez, Sara [1 ]
Rucker, Fabian [1 ]
Aragues-Penalba, Monica [1 ]
Villafafila-Robles, Roberto [1 ]
Munne-Collado, Ingrid [1 ]
Lloret-Gallego, Pau [1 ]
机构
[1] Univ Politecn Cataluna, Dept Elect Engn, CITCEA, Barcelona 08028, Spain
关键词
Batteries; Aging; Linear programming; State of charge; Greenhouse effect; Mathematical model; Global warming; flexibility; greenhouse effect; life cycle assessment; multiobjective optimization; DEMAND RESPONSE;
D O I
10.1109/TIA.2021.3057014
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This article proposes a multiobjective hybrid energy management system that minimizes both the electricity expenses and the household greenhouse gas emissions released due to consumption, considering the entire life cycle of the generation assets used to provide energy. The global warming potential indicator is used to decide if it is more sustainable to purchase electricity from the grid or use the household's flexible generation sources like photovoltaic panels and the energy storage system. Results prove that it is possible to reduce greenhouse gas emissions without incurring expensive electricity bill costs thanks to the hybrid-based home energy management system approach. This method gives the end-users a more influential role in the climate change solution, allowing them to give more or less importance to the economic or environmental component, according to their preferences.
引用
收藏
页码:2782 / 2790
页数:9
相关论文
共 28 条
[1]  
Barja-Martinez S., 2020, P IEEE INT C ENV EL, P1
[2]   A two-stage Energy Management System for smart buildings reducing the impact of demand uncertainty [J].
Di Piazza, M. C. ;
La Tona, G. ;
Luna, M. ;
Di Piazza, A. .
ENERGY AND BUILDINGS, 2017, 139 :1-9
[3]   Aggregation and Remuneration in Demand Response With a Blockchain-Based Framework [J].
Di Silvestre, Maria Luisa ;
Gallo, Pierluigi ;
Sanseverino, Eleonora Riva ;
Sciume, Giuseppe ;
Zizzo, Gaetano .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2020, 56 (04) :4248-4257
[4]  
Dittawit K, 2014, IEEE I C CONS ELECT, P309, DOI 10.1109/ICCE-Berlin.2014.7034267
[5]  
DNV GL Energy, 2020, EN TRANS OUTL 2019 G, DOI [10.2307/j.ctv7xbrmk.21, DOI 10.2307/J.CTV7XBRMK.21]
[6]   Demand response implementation in smart households [J].
Ghazvini, Mohammad Ali Fotouhi ;
Soares, Joao ;
Abrishambaf, Omid ;
Castro, Rui ;
Vale, Zita .
ENERGY AND BUILDINGS, 2017, 143 :129-148
[7]   Cost-effective and Comfort-aware Electricity Scheduling for Home Energy Management System [J].
Huang, Gengqiang ;
Yang, Junjie ;
Wei, Chunjuan .
PROCEEDINGS OF 2016 IEEE INTERNATIONAL CONFERENCES ON BIG DATA AND CLOUD COMPUTING (BDCLOUD 2016) SOCIAL COMPUTING AND NETWORKING (SOCIALCOM 2016) SUSTAINABLE COMPUTING AND COMMUNICATIONS (SUSTAINCOM 2016) (BDCLOUD-SOCIALCOM-SUSTAINCOM 2016), 2016, :453-460
[8]  
IEA IEA, 2019, PERSP CLEAN EN TRANS, P1
[9]  
International Energy Agency, GLOB CO2 EM 2019 AN
[10]   Towards Cost and Comfort Based Hybrid Optimization for Residential Load Scheduling in a Smart Grid [J].
Javaid, Nadeem ;
Ahmed, Fahim ;
Ullah, Ibrar ;
Abid, Samia ;
Abdul, Wadood ;
Alamri, Atif ;
Almogren, Ahmad S. .
ENERGIES, 2017, 10 (10)