Roberts, D. and Brown, S. orcid.org/0000-0001-8229-8004 (2021) DC to turnkey : an analysis of the balance of costs for behind the meter BESS at commercial/industrial sites. In: Cruden, A., (ed.) Energy Reports. 5th Annual CDT Conference in Energy Storage and Its Applications, 12-13 Jan 2021, Virtual conference. Elsevier BV , pp. 20-23.
Abstract
Accurate estimation of the balance of costs required to deliver a turnkey battery energy storage system (BESS) is highly important for decision making on optimal battery type and sizing for a given project. Such costs can be greater than the direct current (DC) boundary module costs for short duration systems. Despite this, very little data is publicly available for such costs at the commercial/industrial scale, and data decomposed into $/kW, $/kWh and fixed components is even scarcer. In the present work, cost models reported by PNNL and Lazard are tested against cost instances reported by EPRI. As system duration increases the Lazard model increasingly overpredicts balance of costs, whereas the PNNL model increasingly underpredicts them. This is due to the former placing more costs in the $/kWh category. It is shown that averaging the PNNL and Lazard models gives better agreement with the EPRI data than either does alone (10% discrepancy compared to 36/30%). The disagreement in cost scaling requires further attention, as it currently hinders the study of longer duration systems.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Editors: |
|
Copyright, Publisher and Additional Information: | © 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Energy storage; Techno-economic analysis; Turnkey price; EPC; Balance of system |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/L016818/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 22 Jun 2021 08:24 |
Last Modified: | 22 Jun 2021 08:24 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.egyr.2021.02.060 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:174825 |