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Economic analysis of energy storage business models

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Title: Economic analysis of energy storage business models
Authors: Fong, G
Moreira, R
Strbac, G
Item Type: Conference Paper
Abstract: The increasing penetration of renewable energy systems and the electrification of h eat and transport sectors in the UK have created business opportunities for flexible technologies, such as battery energy storage (BES). However, BES investments are still not well understood due to a wide range and debatable technology costs that may unde rmine its business case . In this context, a n economic analysis will be established to assess the economic viability of current BES business models, particularly associated with multiple service portfolios. Our model quantifies the net present v alues (NPVs) and payback periods of BES investments considering various business models and state - of - the - art BES technolog ies. We determine the commercial viabil ity associated with different BES technologies and business models. The developed model compare s different technology costs, business models (i.e. portfolio of services provided ) and BES lifetimes to perform a comprehensive econ omic analysis on the business case for investing in BES. S everal case studies under current GB market arrange ments demonstrate that BES investment associated with multi - service business model s offers the best financial benefits to storage investors and achieve payback periods within 10 years’ lifetime.
Date of Acceptance: 7-Apr-2017
URI: http://hdl.handle.net/10044/1/47987
DOI: 10.1109/PTC.2017.7980829
Publisher: IEEE
Copyright Statement: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Conference Name: 12th IEEE Power and Energy Society PowerTech Conference 2017
Keywords: Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Energy storage
Multi-service business models
Net present value
Payback period
Power System Economics
Publication Status: Accepted
Start Date: 2017-06-18
Finish Date: 2017-06-22
Conference Place: Manchester, UK
Appears in Collections:Electrical and Electronic Engineering
Grantham Institute for Climate Change
Faculty of Natural Sciences
Faculty of Engineering