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Acceptance Testing and Advanced Evaluation Strategies for Commercial Parabolic Trough Solar Fields

Janotte, Nicole and Lüpfert, Eckhard and Pitz-Paal, Robert (2012) Acceptance Testing and Advanced Evaluation Strategies for Commercial Parabolic Trough Solar Fields.

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Abstract

The thermal performance of a solar field is measured to rate its overall quality. Therefore, it is typically used as a criterion during phases of commissioning and acceptance. The present paper introduces a novel apporach toward effective testing and evaluation of commercial parabolic trough solar fields during regular dynamic operation conditions. This includes measurement specifications, advanced evaluation of performance data, yielding characteristic performance parameters and their uncertainties, as well as probabilistic simulation of long-term yields. The apporach of advanced acceptance testing and modeling (ATM) is described and applied to demonstrate the implication of measurement equipment on the significance of the results. Three exemplary measurement scenarios are compared. The predicted uncertainties of a reference scenario, a mobile field laboratory and built-in sensors amount to 2.0%, 4.0% and 4.5% of the annual yield respectiviely. They illustrate the advantages of the mobile field laboratory compared to the use of built-in sensor equipment and demonstrate the limitations in view of minimum test and prediction uncertainty.

Item URL in elib:https://elib.dlr.de/78605/
Document Type:Proceedings
Title:Acceptance Testing and Advanced Evaluation Strategies for Commercial Parabolic Trough Solar Fields
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Janotte, NicoleNicole.Janotte (at) dlr.deUNSPECIFIED
Lüpfert, EckhardDLR SF-QNUNSPECIFIED
Pitz-Paal, RobertDLR SF-QNUNSPECIFIED
Date:2012
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:parabolic trough solar field, acceptance testing, performance measurement, paramenter identificateion, uncertainty, probabilistic yield prediction
HGF - Research field:Energy
HGF - Program:Renewable Energies
HGF - Program Themes:Concentrating Solar Systems (old)
DLR - Research area:Energy
DLR - Program:E SF - Solar research
DLR - Research theme (Project):E - Qualifizierung (old)
Location: Köln-Porz
Institutes and Institutions:Institute of Solar Research > Qualifizierung
Deposited By: Kruschinski, Anja
Deposited On:06 Dec 2012 16:59
Last Modified:29 Jul 2013 16:36

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