Eco-design optimisation of an autonomous hybrid wind-photovoltaic system with battery storage

被引:73
作者
Abbes, D. [1 ]
Martinez, A. [1 ]
Champenois, G. [2 ]
机构
[1] EIGSI, F-17041 La Rochelle, France
[2] Univ Poitiers, LIAS, F-86022 Poitiers, France
关键词
MULTIOBJECTIVE GENETIC ALGORITHM; LIFE-CYCLE ASSESSMENT; METHODOLOGY;
D O I
10.1049/iet-rpg.2011.0204
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, a new approach to design an autonomous hybrid wind-photovoltaic (PV)-batteries system is presented in order to assist the designers to take into consideration both the economic and ecological aspects. Primary embodied energy (EE) has been introduced as a new criterion for hybrid systems, designing with the objective to minimise loss of power supply probability (LPSP). For a location, meteorological and load data have been collected and assessed. Then, modelling and primary energy analysis have been achieved for all components of the hybrid system. Finally, an optimal configuration has been carried out using a dynamic model and applying two different algorithms with single and multi-objective optimisation. The methodology has been performed successfully for the sizing of a wind-PV-batteries system to supply at least 95% of the yearly total electric demand of a residential house. The simulation results show that the optimal configuration meets the desired system reliability requirements (LPSP <5%) with the lowest EE. A life cycle cost analysis has been established at the end of the study to demonstrate the importance of economic considerations.
引用
收藏
页码:358 / 371
页数:14
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