Quantifying self-consumption linked to solar home battery systems: Statistical analysis and economic assessment

被引:172
作者
Quoilin, Sylvain [1 ]
Kavvadias, Konstantinos [1 ]
Mercier, Arnaud [2 ]
Pappone, Irene [2 ]
Zucker, Andreas [1 ]
机构
[1] European Commiss, DG Joint Res Ctr, Inst Energy & Transport, POB 2, NL-1755 ZG Petten, Netherlands
[2] European Commiss, DG ECFIN, Charlemagne Bldg,170 Rue Loi, Brussels, Belgium
关键词
Self-consumption; Battery; PV; Prosumer; Household; Electricity; Retail; PHOTOVOLTAIC SYSTEMS; SIMULATION; STORAGE;
D O I
10.1016/j.apenergy.2016.08.077
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
The recent development of new and innovative home battery systems has been seen by many as a catalyst for a solar energy revolution, and has created high expectations in the sector. Many observers have predicted an uptake of combined PV/battery units which could ultimately disconnect from the grid and lead to autonomous homes or micro-grids. However, most of the comments in, social media, blogs or press articles lack proper cost evaluation and realistic simulations. We aim to bridge this gap by simulating self-consumption in various EU countries, for various household profiles, with or without battery. Results indicate that (1) self-consumption is a non-linear, almost asymptotic function of PV and battery sizes. Achieving 100% self-consumption (i.e. allowing for full off-grid operation) is not realistic for the studied countries without excessively oversizing the PV system and/or the battery; (2) although falling fast, the cost of domestic Li-Ion storage is most likely still too high for a large-scale market uptake in Europe; (3) home battery profitability and future uptake depend mainly on the indirect subsidies for self-consumption provided by the structure of retail prices; (4) the self-sufficiency rate varies widely between households. For a given household, the volume of self-consumption cannot be predicted in a deterministic" way. Along with these results, this study also provides a database of synthetic household profiles, a simulation tool for the prediction of self-consumption and a method for the optimal sizing of such systems. (C) 2016 The Author(s). Published by Elsevier Ltd.
引用
收藏
页码:58 / 67
页数:10
相关论文
共 30 条
[1]   A New Database of Global and Direct Solar Radiation Using the Eastern Meteosat Satellite, Models and Validation [J].
Amillo, Ana Gracia ;
Huld, Thomas ;
Mueller, Richard .
REMOTE SENSING, 2014, 6 (09) :8165-8189
[2]  
Ardakanian Omid., 2011, Proceedings of the 2Nd ACM SIGCOMM Workshop on Green Networking, P31
[3]  
Castillo-Cagigal M, 2011, SOL ENERGY, V85, P11
[4]   Profitability analysis of grid-connected photovoltaic facilities for household electricity self-sufficiency [J].
Colmenar-Santos, Antonio ;
Campinez-Romero, Severo ;
Perez-Molina, Clara ;
Castro-Gil, Manuel .
ENERGY POLICY, 2012, 51 :749-764
[5]   Economics of Residential Photovoltaic Battery Systems in Germany: The Case of Tesla's Powerwall [J].
Cong Nam Truong ;
Naumann, Maik ;
Karl, Ralph Ch. ;
Mueller, Marcus ;
Jossen, Andreas ;
Hesse, Holger C. .
BATTERIES-BASEL, 2016, 2 (02)
[6]   Comparison of support policies for residential photovoltaic systems in the major EU markets through investment profitability [J].
De Boeck, L. ;
Van Asch, S. ;
De Bruecker, P. ;
Audenaert, A. .
RENEWABLE ENERGY, 2016, 87 :42-53
[7]  
Dehler J., 2015, SELF CONSUMPTION ELE
[8]  
Dupret J., 2008, TECH REP
[9]  
European Commission, 2015, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions, Delivering a New Deal for Energy Consumers (COM (2015) 339 Final
[10]  
Goldie-Scot L, 2016, TECH REP