Techno-economic optimization and No x emission reduction through steam injection in gas turbine combustion chamber for waste heat recovery and water production.

Autor: Hai T; School of Electronics and Information Engineering, Ankang University, China; School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, Guizhou 558000, China; State Key Laboratory of Public Big Data, Guizhou University, Guizhou, Guiyang 550025, China. Electronic address: haitao@sgmtu.edu.cn., El-Shafay AS; Department of Mechanical Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia; Mechanical Power Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt. Electronic address: a.abdou@psau.edu.sa., Goyal V; Department of Electronics and Communication Engineering, GLA University, Mathura, India., Alshahri AH; Department of Civil Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif City, 21974, Saudi Arabia., Almujibah HR; Department of Civil Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif City, 21974, Saudi Arabia.
Jazyk: angličtina
Zdroj: Chemosphere [Chemosphere] 2023 Nov; Vol. 342, pp. 139782. Date of Electronic Publication: 2023 Sep 02.
DOI: 10.1016/j.chemosphere.2023.139782
Abstrakt: Considering the persistent human need for electricity and fresh water, cogeneration systems based on the production of these two products have attracted the attention of researchers. This study investigates a cogeneration system of electricity and fresh water based on gas turbine (GT) as the prime mover. The wasted energy of the GT exhaust gases is absorbed by a heat recovery steam generator (HRSG) and supplies the superheat steam required by the steam turbine (ST). In order to produce fresh water, a multi-effect desalination (MED) system is applied. The motive steam required is provided by extracting steam from the ST. In order to reduce the environmental pollution of this cogeneration system, the steam injection method is proposed in the GT's combustion chamber (CC). This system is optimized by a multi-objective optimization tool based on the Genetic Algorithm (GA). The design variables include pressure ratio of compressor (CPR), inlet temperature of gas turbine (TIT), steam injection mass flow rate in the CC, HRSG operating pressure, HRSG evaporator pinch point temperature difference (PPTD), steam pressure of the MED ejector, ejector motive steam flow rate, number of MED effects, and return effect. The goals are to minimize the total cost rate (TCR), which includes the cost of initial investment and maintenance of the system, the cost of consumed fuel, and the cost of disposing of CO and NO pollutants, as well as maximizing the exergy efficiency. In the end, it is observed that the steam injection in the CC leads to the reduction of the mentioned pollutant index, and it is proposed as a suitable solution to reduce the pollution of the proposed cogeneration system.
Competing Interests: Declaration of competing interest Authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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