Optimizing operation of a solar-aided coal-fired power system based on the solar contribution evaluation method
Rongrong Zhai,
Miaomiao Zhao,
Kaiyu Tan and
Yongping Yang
Applied Energy, 2015, vol. 146, issue C, 328-334
Abstract:
A solar-aided coal-fired power system (SACFPS) model with five load conditions (100%, 85%, 75%, 50%, and 40%) was built based on thermodynamic and thermoeconomic theories. SACFPS is a combination of a parabolic trough solar power system and a 660MW coal-fired generation plant. The solar contribution evaluation method was introduced into the model to calculate the generation share of the solar power system. Results show that solar contribution decreases after an initial increase as effective solar normal irradiation increases. Optimization strategies, adjusting heat transfer fluid flow rate, have been proposed to maintain solar contribution at a high level. Thus, SACFPS with five load conditions has been optimized. This study also establishes a generation revenue function to evaluate the economics of SACFPS. Income generation of SACFPS after optimization is significantly higher than that without optimization.
Keywords: SACFPS; Solar contribution evaluation method; Optimizing operation; Generation revenue function (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261915001853
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:146:y:2015:i:c:p:328-334
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2015.01.140
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().