Peak shaving performance of coal-fired power generating unit integrated with multi-effect distillation seawater desalination

Yuan Xue, Zhihua Ge, Lijun Yang and Xiaoze Du

Applied Energy, 2019, vol. 250, issue C, 175-184

Abstract: The peak-load regulation of a coal-fired power plant is critical to promote renewable energy power generation in grid systems. A low-temperature multi-effect distillation (LT-MED) was proposed to improve the dispatchability of a 600 MW coal-fired power generating unit; here, an unsteady thermal system model was established using the Ebsilon software to study peak shaving capacities. The results show that the increased extraction amount and pressure will reduce the power generation and increase the coal consumption. The peak shaving capacity curve was obtained based on the extraction amount. It is indicated that the peak shaving capacity can reach a maximum of 477 MW when the amount of steam extraction is less than 238 ton/h. When the amount of extraction is sufficiently large, the exhaust steam from the low-pressure turbine attains the minimum allowable value, the peak shaving capacity of the unit then sharply decreases. The dynamic response of an LT-MED system to the step variation of the output load of the power generating unit was also revealed. Moreover, the power generation and coal consumption are slightly influenced by the steam consumption in a single LT-MED system. The maximum extraction of the unit can afford a maximum of 19 LT-MED systems. The results of this study will provide a useful reference for the peak shaving of coal-fired power generating units.

Keywords: Coal-fired thermal power generation; Dispatchability; Dynamic analysis; Multi-effect distillation (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261919308530
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:250:y:2019:i:c:p:175-184

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.2019.04.190

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 ().