Title of article :
Investigation of a Geothermal-Based CCHP System from Energetic, Water Usage and CO2 Emission Viewpoints
Author/Authors :
Mohsenipour, Mahmood Department of Energy Systems - Mechanical Eng - Faculty - K. N. Toosi University of Technology, Tehran , Ahmadi, Farzin Department of Energy Systems - Mechanical Eng - Faculty - K. N. Toosi University of Technology, Tehran , Mohammadi, Amir Department of Energy Systems - Mechanical Eng - Faculty - K. N. Toosi University of Technology, Tehran , Ebadollahi, Mohammad Department of Energy Systems - Mechanical Eng - Faculty - K. N. Toosi University of Technology, Tehran , Amidpour, Majid Department of Energy Systems - Mechanical Eng - Faculty - K. N. Toosi University of Technology, Tehran
Pages :
12
From page :
41
To page :
52
Abstract :
Renewable heat sources are a sustainable and clean way to produce power, heating, and cooling. Combined cooling, heat, and power (CCHP) systems are very promising for producing demands simultaneously. In the present study, a CCHP system with the geothermal source has been investigated, and heat loads are designed for the micro-scale application. To determine the feasibility of the system, energy analysis is carried out, and results are reported after optimization. Also, the genetic algorithm method is presented for optimization. The sub-objectives of this study are the calculations of water usage and CO2 emission in the manufacturing process. For this matter, energy efficiency, water usage, and CO2 emission after optimization have been examined as three significant parameters. The efficiency of the system, water usage, and CO2 emission are reported as 46.4%, 688151.2 (lit) and 13439 (kgco2, eq) respectively. The total purchase cost is 43121 $. Moreover, the results show that between components the maximum water usage in manufacturing and CO2 emission is belonged to vapor generator with 242010 (lit) and 4701 (kgco2, eq).
Keywords :
Geothermal , Energy Efficiency , Water Usage , Carbon DIoxide Emission , CCHP , Genetic Algorithm , Optimization
Journal title :
Astroparticle Physics
Serial Year :
2019
Record number :
2467099
Link To Document :
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