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

被引:165
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
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