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Energy and exergy analysis and optimization of a biomass combined multi-generation system based on micro-CCHP by combining Absorption refrigeration and Desalination cycles
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Hadi Ghaebi *1   , Nasim Bashiri2 , Mohsen Mostafaei3 , Meysam Najafi Ershadi2 , Behzad Abbaszadeh4 |
1- Department of Mechanical Engineering, University of Mohaghegh Ardabibili, Ardabil, Iran. , hghaebi@uma.ac.ir
2- Department of Mechanical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran.
3- Department of Mechanical Engineering, Iran University of Science & Technology, Tehran, Iran.
4- PHD student, Shahid Rajaee Teacher Training University, Tehran, Iran. |
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Abstract: (204 Views) |
In this paper, a new biomass multi-generation system based on micro-CCHP using an absorption refrigeration cycle and a desalination system, are presented to increase the performance of the basic cycle and to reduce the thermal wastes. A thermodynamic comprehensive modeling was done on the proposed system. also validation of subsystems and optimization of the system was done by genetic algorithm method with EES software. The results show that the dehumidifier has the highest exergy destruction among the other components of the system. The impact of the various system parameters such as; Evaprator1 temperature, Ammonia mass fraction, Absorber temperature, Difference temperature of heater, Generator1 pressure and heat source temperature is also done on the performance of the system. The parametric study show that by increasing the evaprator1 temperature, the energy efficiency of the system is increased. The maximum amount of energy and exergy efficiency of the system is 74.2% and 47.7%, respectively that occur at the 750-740 kelvin of heat source temperature. The energy and exergy efficiency of the base and MOOD case is 68.7% and 44.32%, 91.87% and 49.3%, respectively |
Article number: 1 |
| Keywords: Optimization, Multi-generation, CCHP, Absorption refrigeration, Desalination |
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Full-Text [PDF 1217 kb]
(45 Downloads)
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Type of Study: Research |
Subject:
Thermodynamics
Received: 2023/05/24 | Accepted: 2023/10/2 | Published: 2024/03/12
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