Economic and financial appraisal of novel large-scale energy storage technologies

Economic and financial appraisal of novel large-scale energy storage technologies
复制标题

DOI:
10.1016/j.energy.2020.118954
复制
发表时间:
2021-01-01
期刊:
影响因子:
9
通讯作者:
Locatelli, Giorgio
Locatelli, Giorgio
中科院分区:
工程技术1区
文献类型:
--
作者:
Lai, Chun Sing;Locatelli, Giorgio

文献摘要

被引文献

相似文献

储能可以储存多余的电能,并为电力系统提供灵活性。发电集成储能系统(GES)是一种储能系统,它通过一次能源形式与电能之间的转换,在某一时刻储存能量。对新型储能系统和GES的经济和财务价值的调查具有重要意义,因为这些技术还处于初级阶段,存在多种技术、经济和财务的不确定性和机会。本文介绍并应用了一个最先进的模型来比较英国GES(抽水蓄热)和Non-GES(锂离子电池)风力发电系统的经济和财务优势。确定性、风险性和敏感性分析表明,对于GES的经济性,关键驱动因素是发电机的资本成本;对于非GES,储能资本成本是最重要的因素。蒙特卡罗分析表明,对于100兆瓦风力发电机组和100兆瓦储能机组,发电机组和非发电机组的等价化电价分别为0.05磅/千瓦时-0.12磅/千瓦时和0.07磅/千瓦时-0.11磅/千瓦时。GIE和NON的内部收益率是不确定的,分别在2%-22%和5%-14%之间。(C)2020作者。爱思唯尔有限公司出版。
Energy storage can store surplus electricity generation and provide power system flexibility. A Generation Integrated Energy Storage system (GIES) is a class of energy storage that stores energy at some point along with the transformation between the primary energy form and electricity. The investigation of the economic and financial merits of novel energy storage systems and GIES is relevant as these technologies are in their infancy, and there are multiple technological, economic, and financial uncertainties and opportunities. This paper presents and applies a state-of-the-art model to compare the economics and financial merits for GIES (with pumped-heat energy storage) and non-GIES (with a Lithium-ion battery) systems coupled with wind generation in the United Kingdom. The deterministic, risk, and sensitivity analyses show that, for GIES's economics, the key driver is the generator capital cost; for non-GIES, the energy storage capital cost is the most important factor. A Monte Carlo analysis shows that the levelized cost of electricity values for GIES and non-GIES are 0.05 pound/kWh - 0.12 pound/kWh and 0.07 pound/kWh - 0.11 pound/kWh, respectively, for a 100 MW wind power generator and 100 MWh energy storage. The internal rate of return values for GIES and non-GIES are uncertain and range between 2%-22% and 5%-14%, respectively. (C) 2020 The Authors. Published by Elsevier Ltd.