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Solar Field Optical Characterization at Stillwater Geothermal/Solar Hybrid Plant
Author(s) -
Guangdong Zhu,
Craig Turchi
Publication year - 2016
Publication title -
journal of solar energy engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.55
H-Index - 83
eISSN - 1528-8986
pISSN - 0199-6231
DOI - 10.1115/1.4035518
Subject(s) - offset (computer science) , geothermal gradient , solar power , solar energy , field (mathematics) , characterization (materials science) , photovoltaic system , computer science , concentrated solar power , remote sensing , environmental science , engineering , power (physics) , optics , electrical engineering , geology , physics , mathematics , geophysics , pure mathematics , quantum mechanics , programming language
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.

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