Levelized cost of electricity for solar photovoltaic and electrical energy storage

被引:323
|
作者
Lai, Chun Sing [1 ]
McCulloch, Malcolm D. [1 ]
机构
[1] Univ Oxford, Dept Engn Sci, Energy & Power Grp, 17 Parks Rd, Oxford OX1 3PJ, England
关键词
PV; LCOE; Electrical energy storage; RENEWABLE ENERGY; POWER-SYSTEMS; PV SYSTEM; LCOE; OPTIMIZATION; BATTERY; DESIGN; TECHNOLOGIES; GENERATION; HOUSEHOLD;
D O I
10.1016/j.apenergy.2016.12.153
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
With the increasing technological maturity and economies of scale for solar photovoltaic (PV) and electrical energy storage (EES), there is a potential for mass-scale deployment of both technologies in standalone and grid-connected power systems. The challenge arises in analyzing the economic projections on complex hybrid systems utilizing PV and EES. It is well known that PV power is of diurnal and stochastic nature, and surplus electrical energy is generally available in midday during high irradiance levels. EES does not produce energy as it is not a conventional generator source. Commonly, the cost of a generating asset or the power system is evaluated by using levelized cost of electricity (LCOE). In this paper, a new metric levelized cost of delivery (LCOD) is proposed to calculate the LCOE for the EES. A review on definitions in LCOE for PV hybrid energy systems is provided. Four years of solar irradiance data from Johannesburg and the national load data from Kenya are obtained for case studies. The proposed cost calculation methods are evaluated with two types of EES, namely Vanadium redox flow battery (VRB) and Lithium-ion (Li-ion) battery. It shows that the marginal LCOE and LCOD indices can be used to assist policymakers to consider the discount rate, the type of storage technology and sizing of components in a PVEES hybrid system. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:191 / 203
页数:13
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