Comparative exergy, multi-objective optimization, and extended environmental assessment of geothermal combined power and refrigeration systems
Author | Musharavati, Farayi |
Author | Khanmohammadi, Shoaib |
Author | Tariq, Rasikh |
Available date | 2023-12-05T10:28:39Z |
Publication Date | 2021 |
Publication Name | Process Safety and Environmental Protection |
Resource | Scopus |
ISSN | 9575820 |
Abstract | In the present work a comparative exergy analysis, multi-objective optimization, as well as extended environmental analysis of a geothermal-based power and refrigeration system, is carried out. Different arrangements with the ammonia-water refrigeration cycle, organic Rankine cycle (ORC), and thermoelectric generator (TEG) are investigated. The current work novelties are the presentation of a novel power-refrigeration system driven by a geothermal source and the employment of TEG units to recover geothermal energy, besides extended environmental assessment. The results of sensitivity analysis indicate that the highest net output work capacity is for the suggested system (configuration 3). Exergy analysis exhibits that in all cases, the absorber has the highest exergy destruction rate and one of the lowest exergy efficiency because it is the first component, which gains the heat from the geothermal source. The suggested system produces 495.2 kW net output power and the highest energy efficiency of 19.42%, which are 131.7 kW, and 3.84% higher than configuration 1(base system). Optimization results represent that in the optimum point, Wnet shows about 33.3% improvement compared with the un-optimized condition. It is found that configuration 3 which consists of cogeneration with two loops of ammonia-water power cycle with refrigeration system along with an additional thermoelectric generator for enhanced waste heat recovery has the highest environmental footprints because of multiple components installed that would occupy more space, electricity, materials, and other resources for its construction, operation, maintenance, and end-of life. |
Sponsor | The author, Rasikh Tariq, is grateful to the financial support of CONACYT (Consejo Nacional de Ciencia y Tecnología) to pursue a Doctorado en Ingeniería opción Energías Renovables in Facultad de Ingeniería, Universidad Autónoma de Yucatán with CVU: 949314, scholarship no: 784785, program: becas nacionales. |
Language | en |
Publisher | Institution of Chemical Engineers |
Subject | Environmental analysis Exergy analysis Genetic algorithm Geothermal plant Optimization |
Type | Article |
Pagination | 438-456 |
Volume Number | 156 |
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Mechanical & Industrial Engineering [1339 items ]