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Merit order or unit-commitment: How does thermal power plant modeling affect storage demand in energy system models?

Cebulla, Felix and Fichter, Tobias (2017) Merit order or unit-commitment: How does thermal power plant modeling affect storage demand in energy system models? Renewable Energy, 105, pp. 117-132. Elsevier. DOI: 10.1016/j.renene.2016.12.043 ISSN 0960-1481

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Official URL: http://www.sciencedirect.com/science/article/pii/S0960148116310990

Abstract

Flexibility requirements in prospective energy systems will increase to balance intermittent electricity generation from renewable energies. One option to tackle this problem is electricity storage. Its demand quantification often relies on optimization models for thermal and renewable dispatch and capacity expansion. Within these tools, power plant modeling is typically based on simplified linear programming merit order dispatch (LP) or mixed-integer unit-commitment with economic dispatch (MILP). While the latter is able to capture techno-economic characteristics to a large extent (e.g. ramping or start-up costs) and allows on/off decision of generator units, LP is a simplified method, but superior in computational effort. We present an assessment of how storage expansion is affected by the method of power plant modeling and apply a cost minimizing optimization model, comparing LP with MILP. Moreover, we evaluate the influence of wind and photovoltaic generation shares and vary the granularity of the power plant mix within MILP. The results show that LP underestimates storage demand, as it neglects technical restrictions which affect operating costs, leading to an unrealistically flexible thermal power plant dispatch. Contrarily, storage expansion is higher in MILP. The deviation between both approaches however becomes less pronounced if the share of renewable generation increases.

Item URL in elib:https://elib.dlr.de/110082/
Document Type:Article
Title:Merit order or unit-commitment: How does thermal power plant modeling affect storage demand in energy system models?
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cebulla, Felixfelix.cebulla (at) dlr.deUNSPECIFIED
Fichter, Tobiastobias.fichter (at) dlr.deUNSPECIFIED
Date:May 2017
Journal or Publication Title:Renewable Energy
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:105
DOI :10.1016/j.renene.2016.12.043
Page Range:pp. 117-132
Publisher:Elsevier
ISSN:0960-1481
Status:Published
Keywords:Renewable energy; Storage demand; Unit-commitment; Economic dispatch; Merit order; Expansion planning
HGF - Research field:Energy
HGF - Program:Technology, Innovation and Society
HGF - Program Themes:Renewable Energy and Material Resources for Sustainable Futures - Integrating at Different Scales
DLR - Research area:Energy
DLR - Program:E MS - Systems analysis
DLR - Research theme (Project):E - Systems Analysis and Technology Assessment (old)
Location: Stuttgart
Institutes and Institutions:Institute of Engineering Thermodynamics > Systems Analysis and Technology Assessment
Deposited By: Cebulla, Felix
Deposited On:09 Jan 2017 13:06
Last Modified:06 Sep 2019 15:16

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