Maqola

Heat energy utilization of a double-flash geothermal source efficiently for heating/electricity supply through particle swarm optimization method

Fengmin ChengShandong Provincial University Laboratory for Protected Horticulture, Weifang University of Science and Technology, Weifang, 262700, ChinaAzher M. AbedAir Conditioning and Refrigeration Techniques Engineering Department, College of Engineering and Technologies, Al-Mustaqbal University, Babylon, 51001, IraqPradeep Kumar SinghDepartment of Mechanical Engineering, Institute of Engineering & Technology, GLA University, Mathura, U.P, 281406, IndiaMohammed A. AlghassabElectrical Engineering Department, College of Engineering, Shaqra University, Riyadh, 11911, Saudi ArabiaFahad M. AlhomayaniApplied College, Taif University, Saudi ArabiaUmid TurdialiyevDoctor of Technical Sciences, Department of Organic Chemistry, Rector, Andijan Machine-Building Institute, Bobur Avenue, 56, Andijan, UzbekistanAmr S. AbouziedDepartment of Pharmaceutical Chemistry, College of Pharmacy, University of Hail, Hail, 81442, Saudi ArabiaYasser ElmasryDepartment of Mathematics - College of Science - King Khalid University, P.O. Box 9004, Abha, 61466, Saudi ArabiaBaseem KhanCenter for Renewable Energy and Microgrids, Huanjiang Laboratory, Zhejiang University, Zhejiang, 311816, ChinaIbrahim MahariqApplied Science Research Center, Applied Science Private University, Amman, Jordan

Case Studies in Thermal Engineeringjournal2024en

ABI

Annotatsiya

The principal aim of this article is to optimize the thermal and electrical efficiency of a geothermal combined heat and power system through metaheuristic particle swarm optimization (PSO) method. The objective of this research is to conduct a thorough analysis of the incorporation of metaheuristic PSO technique, with a specific emphasis on the potential advantages and obstacles associated with the utilization of metaheuristic approaches in improving the effectiveness of geothermal energy systems. The utilization of a double-flash geothermal system in conjunction with a transcritical carbon dioxide Rankine cycle is utilized for the co-generation of electricity and thermal energy. The research utilized a PSO method to enhance power generation, heating capacity, and overall system efficiency. The PSO algorithm was employed to determine the optimum operational parameters for a pressure level of 820 kPa and a pressure ratio of 1.59, leading to the maximization of power output to 2591.4 kW The PSO algorithm effectively identified the optimal operational parameters as a pressure of 820 kPa and a pressure ratio of 1.59, resulting in the achievement of a peak power output of 2591.4 kW. The methodology has determined that a pressure of 916.4 kPa and a pressure ratio of 1.5 represent the optimal parameters for achieving a maximum heating capacity of 12329.1 kW.

Hali tarjima qilinmagan

Mavzular

Integrated Energy Systems Optimization Geothermal Energy Systems and Applications Spacecraft and Cryogenic Technologies

Identifikatorlar

DOI: 10.1016/j.csite.2024.105343

Iqtiboslar va manbalar

3 ta iqtibos 74 ta foydalanilgan manba

Koʻrsatkichlar — AkademScholar