Better estimates of LCOE from audited accounts: a new methodology with examples from United Kingdom offshore wind and CCGT.
Aldersey-Williams, John; Broadbent, Ian D.; Strachan, Peter A.
Ian D. Broadbent
Professor Peter Strachan email@example.com
Around the world, government policies to support new renewable energy technologies rely on accurate estimates of Levelised Cost of Energy (LCOE). This paper reveals that such estimates are based on 'public domain' data which may be unreliable. A new approach and methodology has been developed which uses United Kingdom (UK) 'audited' data, published in company accounts, that has been obtained from Companies House, to determine more accurate LCOE estimates. The methodology is applicable to projects configured within Special Purpose Vehicle (SPV) companies. The methodology is then applied to a number of UK offshore wind farms and one Combined Cycle Gas Turbine (CCGT) project to develop new cost data which is then compared to that presently in the public domain. The analysis reveals that recent offshore wind projects show a slightly declining LCOE and that public domain cost estimates are unreliable. But of most concern is that offshore wind farm costs are still much higher than those implied by recent bids for UK government financial support via Contracts for Difference (CfDs). The paper concludes by addressing further the question of how offshore wind projects can achieve the degree of LCOE reductions required by recent CfD bids.
ALDERSEY-WILLIAMS, J., BROADBENT, I.D. and STRACHAN, P.A. 2019. Better estimates of LCOE from audited accounts: a new methodology with examples from United Kingdom offshore wind and CCGT. Energy policy [online], 128, pages 25-35. Available from: https://doi.org/10.1016/j.enpol.2018.12.044
|Journal Article Type||Article|
|Acceptance Date||Dec 27, 2018|
|Online Publication Date||Jan 3, 2019|
|Publication Date||May 31, 2019|
|Deposit Date||Feb 14, 2019|
|Publicly Available Date||Jan 4, 2020|
|Peer Reviewed||Peer Reviewed|
|Keywords||LCOE; Offshore wind; Accounts|
|Related Public URLs||https://rgu-repository.worktribe.com/output/1269462|
ALDERSEY-WILLIAMS 2019 Better estimates of LCOE
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