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Title: Solar Field Optical Characterization at Stillwater Geothermal/Solar Hybrid Plant

Abstract

Concentrating solar power (CSP) can provide additional thermal energy to boost geothermal plant power generation. For a newly constructed solar field at a geothermal power plant site, it is critical to properly characterize its performance so that the prediction of thermal power generation can be derived to develop an optimum operating strategy for a hybrid system. In the past, laboratory characterization of a solar collector has often extended into the solar field performance model and has been used to predict the actual solar field performance, disregarding realistic impacting factors. In this work, an extensive measurement on mirror slope error and receiver position error has been performed in the field by using the optical characterization tool called Distant Observer (DO). Combining a solar reflectance sampling procedure, a newly developed solar characterization program called FirstOPTIC and public software for annual performance modeling called System Advisor Model (SAM), a comprehensive solar field optical characterization has been conducted, thus allowing for an informed prediction of solar field annual performance. The paper illustrates this detailed solar field optical characterization procedure and demonstrates how the results help to quantify an appropriate tracking-correction strategy to improve solar field performance. In particular, it is found that an appropriatemore » tracking-offset algorithm can improve the solar field performance by about 15%. The work here provides a valuable reference for the growing CSP industry.« less

Authors:
 [1];  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Office (EE-4G)
OSTI Identifier:
1342371
Report Number(s):
NREL/JA-5500-67541
Journal ID: ISSN 0199-6231
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Solar Energy Engineering
Additional Journal Information:
Journal Volume: 139; Journal Issue: 3; Journal ID: ISSN 0199-6231
Publisher:
ASME
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 47 OTHER INSTRUMENTATION; concentrating solar power; geothermal energy; parabolic trough; optical characterization; optical error; hybrid system

Citation Formats

Zhu, Guangdong, and Turchi, Craig. Solar Field Optical Characterization at Stillwater Geothermal/Solar Hybrid Plant. United States: N. p., 2017. Web. doi:10.1115/1.4035518.
Zhu, Guangdong, & Turchi, Craig. Solar Field Optical Characterization at Stillwater Geothermal/Solar Hybrid Plant. United States. doi:10.1115/1.4035518.
Zhu, Guangdong, and Turchi, Craig. Fri . "Solar Field Optical Characterization at Stillwater Geothermal/Solar Hybrid Plant". United States. doi:10.1115/1.4035518. https://www.osti.gov/servlets/purl/1342371.
@article{osti_1342371,
title = {Solar Field Optical Characterization at Stillwater Geothermal/Solar Hybrid Plant},
author = {Zhu, Guangdong and Turchi, Craig},
abstractNote = {Concentrating solar power (CSP) can provide additional thermal energy to boost geothermal plant power generation. For a newly constructed solar field at a geothermal power plant site, it is critical to properly characterize its performance so that the prediction of thermal power generation can be derived to develop an optimum operating strategy for a hybrid system. In the past, laboratory characterization of a solar collector has often extended into the solar field performance model and has been used to predict the actual solar field performance, disregarding realistic impacting factors. In this work, an extensive measurement on mirror slope error and receiver position error has been performed in the field by using the optical characterization tool called Distant Observer (DO). Combining a solar reflectance sampling procedure, a newly developed solar characterization program called FirstOPTIC and public software for annual performance modeling called System Advisor Model (SAM), a comprehensive solar field optical characterization has been conducted, thus allowing for an informed prediction of solar field annual performance. The paper illustrates this detailed solar field optical characterization procedure and demonstrates how the results help to quantify an appropriate tracking-correction strategy to improve solar field performance. In particular, it is found that an appropriate tracking-offset algorithm can improve the solar field performance by about 15%. The work here provides a valuable reference for the growing CSP industry.},
doi = {10.1115/1.4035518},
journal = {Journal of Solar Energy Engineering},
number = 3,
volume = 139,
place = {United States},
year = {Fri Jan 27 00:00:00 EST 2017},
month = {Fri Jan 27 00:00:00 EST 2017}
}

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