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Optimization of parabolic trough power plant operations in variable irradiance conditions using all sky imagers

Nouri, Bijan and Noureldin, Kareem and Schlichting, Tim and Wilbert, Stefan and Hirsch, Tobias and Schroedter-Homscheidt, Marion and Kuhn, Pascal Moritz and Kazantzidis, A. and Zarzalejo, L.F. and Blanc, P. and Yasser, Zeyad and Fernandez-Reche, Jesus and Pitz-Paal, Robert (2020) Optimization of parabolic trough power plant operations in variable irradiance conditions using all sky imagers. Solar Energy (198), pp. 434-453. Elsevier. DOI: 10.1016/j.solener.2020.01.045 ISSN 0038-092X

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Official URL: https://doi.org/10.1016/j.solener.2020.01.045

Abstract

The continuously growing penetration of intermittent electricity sources will increase the future demand for dispatchable power plants, which balance out fluctuations within the electrical grids. Parabolic trough power plants with thermal energy storages could be one renewable solution for regions with a high yearly direct normal irradiance (DNI) sum, but in order to compete against other renewable as well as non-renewable technologies, the economic competitiveness must be ensured. Price reductions can be achieved for example by optimizing the plant operation. One shortcoming of state of the art plant controllers is that they only use the DNI measured at one or a few positions in the solar field. Due to the spatial variability of the DNI throughout the solar field this DNI information can be misleading. In this paper, we investigate the optimization potential of solar field control strategies with access to spatially resolved DNI information from all sky imagers (ASI). Uncertainties of the ASI system are considered by introducing additional independent spatial DNI information from a shadow camera system. The spatial and temporal DNI variability of the DNI seen by the controller is classified in distinct DNI variability classes. Two new control strategies are developed, with optimized control parameters for distinct combinations of the spatial and temporal DNI variability classes. These new variability class dependent control strategies are benchmarked in a simulation environment. A relative increase in revenue in excess of 1.9% is observed over a test period with 22 days, compared to a state of the art reference controller.

Item URL in elib:https://elib.dlr.de/134118/
Document Type:Article
Title:Optimization of parabolic trough power plant operations in variable irradiance conditions using all sky imagers
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Nouri, BijanBijan.Nouri (at) dlr.dehttps://orcid.org/0000-0002-9891-1974
Noureldin, KareemKareem.Noureldin (at) dlr.deUNSPECIFIED
Schlichting, TimTim.Schlichting (at) dlr.deUNSPECIFIED
Wilbert, StefanStefan.Wilbert (at) dlr.dehttps://orcid.org/0000-0003-3573-3004
Hirsch, TobiasTobias.Hirsch (at) dlr.deUNSPECIFIED
Schroedter-Homscheidt, Marionmarion.schroedter-homscheidt (at) dlr.dehttps://orcid.org/0000-0002-1854-903X
Kuhn, Pascal MoritzPascal.Kuhn (at) dlr.dehttps://orcid.org/0000-0001-9978-5706
Kazantzidis, A.Lab. of Atm. Physics, Uni Patras, GreeceUNSPECIFIED
Zarzalejo, L.F.CIEMATUNSPECIFIED
Blanc, P.MINES ParisTechUNSPECIFIED
Yasser, ZeyadTSK-Flagsol GmBHUNSPECIFIED
Fernandez-Reche, JesusCIEMAT-PSAUNSPECIFIED
Pitz-Paal, RobertRobert.Pitz-Paal (at) dlr.dehttps://orcid.org/0000-0002-3542-3391
Date:2020
Journal or Publication Title:Solar Energy
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1016/j.solener.2020.01.045
Page Range:pp. 434-453
Publisher:Elsevier
ISSN:0038-092X
Status:Published
Keywords:Parabolic trough, All sky imager, Irradiance map, Variability, Solar field control, Shadow camera, Virtual solar field
HGF - Research field:Energy
HGF - Program:Renewable Energies
HGF - Program Themes:Concentrating Solar Thermal Technology
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Impact of Desert Environment, E - Systems Analysis and Technology Assessment
Location: Köln-Porz
Institutes and Institutions:Institute of Solar Research > Qualification
Institute of Networked Energy Systems > Energy Systems Analysis
Deposited By: Kruschinski, Anja
Deposited On:09 Jun 2020 17:15
Last Modified:19 Oct 2020 10:43

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