Techno-Economic and Sizing Analysis of Battery Energy Storage System for Behind-the-Meter Application

As the cost of the battery energy storage system (BESS) is lower, the penetration rate of battery storage is rising in the behind-the-meter (BTM) market. BESS with time-of-use rates (TOU) for charge and discharge scheduling can be used to reduce electricity costs. This research uses 6,600KW contract...

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Main Authors: Chih-Ta Tsai, Erica M. Ocampo, Teketay Mulu Beza, Cheng-Chien Kuo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9252091/
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spelling doaj-ef337aa0a3bd49799595adf074492ad62021-03-30T04:32:46ZengIEEEIEEE Access2169-35362020-01-01820373420374610.1109/ACCESS.2020.30366609252091Techno-Economic and Sizing Analysis of Battery Energy Storage System for Behind-the-Meter ApplicationChih-Ta Tsai0https://orcid.org/0000-0002-9740-5770Erica M. Ocampo1https://orcid.org/0000-0002-4661-0598Teketay Mulu Beza2https://orcid.org/0000-0002-2569-6839Cheng-Chien Kuo3https://orcid.org/0000-0003-4990-0459Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, TaiwanAs the cost of the battery energy storage system (BESS) is lower, the penetration rate of battery storage is rising in the behind-the-meter (BTM) market. BESS with time-of-use rates (TOU) for charge and discharge scheduling can be used to reduce electricity costs. This research uses 6,600KW contract capacity for industrial customers as the study case. Through the BESS techno-economic simulation in Hybrid Optimization Models for Energy Resources (HOMER) Grid software, the optimal capacity planning can be obtained from the electricity demand. The results show that the contract capacity can be adjusted to 6,100kW with a project benefit of $68,557, levelized cost of energy (LCOE) of 0.09338 $/kWh, net present cost (NPC) of $-$24,768,508, internal rate of return (IRR) of 3.72%, return of investment (ROI) of 2.16%, and discounted payback of 8.37 years in the 500kW/1065kWh required BESS capacity case. The sensitivity of the electricity price, key components cost, and real interest rate are evaluated and the method will be applied as a reference for planning the BTM BESS of other utility customers.https://ieeexplore.ieee.org/document/9252091/Techno-economic analysisbattery energy storageenergy arbitragepeak shavingBTM application
collection DOAJ
language English
format Article
sources DOAJ
author Chih-Ta Tsai
Erica M. Ocampo
Teketay Mulu Beza
Cheng-Chien Kuo
spellingShingle Chih-Ta Tsai
Erica M. Ocampo
Teketay Mulu Beza
Cheng-Chien Kuo
Techno-Economic and Sizing Analysis of Battery Energy Storage System for Behind-the-Meter Application
IEEE Access
Techno-economic analysis
battery energy storage
energy arbitrage
peak shaving
BTM application
author_facet Chih-Ta Tsai
Erica M. Ocampo
Teketay Mulu Beza
Cheng-Chien Kuo
author_sort Chih-Ta Tsai
title Techno-Economic and Sizing Analysis of Battery Energy Storage System for Behind-the-Meter Application
title_short Techno-Economic and Sizing Analysis of Battery Energy Storage System for Behind-the-Meter Application
title_full Techno-Economic and Sizing Analysis of Battery Energy Storage System for Behind-the-Meter Application
title_fullStr Techno-Economic and Sizing Analysis of Battery Energy Storage System for Behind-the-Meter Application
title_full_unstemmed Techno-Economic and Sizing Analysis of Battery Energy Storage System for Behind-the-Meter Application
title_sort techno-economic and sizing analysis of battery energy storage system for behind-the-meter application
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description As the cost of the battery energy storage system (BESS) is lower, the penetration rate of battery storage is rising in the behind-the-meter (BTM) market. BESS with time-of-use rates (TOU) for charge and discharge scheduling can be used to reduce electricity costs. This research uses 6,600KW contract capacity for industrial customers as the study case. Through the BESS techno-economic simulation in Hybrid Optimization Models for Energy Resources (HOMER) Grid software, the optimal capacity planning can be obtained from the electricity demand. The results show that the contract capacity can be adjusted to 6,100kW with a project benefit of $68,557, levelized cost of energy (LCOE) of 0.09338 $/kWh, net present cost (NPC) of $-$24,768,508, internal rate of return (IRR) of 3.72%, return of investment (ROI) of 2.16%, and discounted payback of 8.37 years in the 500kW/1065kWh required BESS capacity case. The sensitivity of the electricity price, key components cost, and real interest rate are evaluated and the method will be applied as a reference for planning the BTM BESS of other utility customers.
topic Techno-economic analysis
battery energy storage
energy arbitrage
peak shaving
BTM application
url https://ieeexplore.ieee.org/document/9252091/
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AT teketaymulubeza technoeconomicandsizinganalysisofbatteryenergystoragesystemforbehindthemeterapplication
AT chengchienkuo technoeconomicandsizinganalysisofbatteryenergystoragesystemforbehindthemeterapplication
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