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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 40379 (46)
- University: Sharif University of Technology
- Department: Energy Engineering
- Advisor(s): Samimi, Jalal; Vesaghi, Mohamd Ali
- Abstract:
- Considering high potential of solar energy and exhaustibility of fossil fuels in Iran, using solar energy seems to be inevitable. But one of the main problems in the application of these systems is high investment and maintenance costs. So, in this thesis, suitable solution is presented for decreasing cost and optimizing of a solar absorption refrigerator based on developed energy model. This system consists of two CPC solar collectors and a thermal energy storage system using phase change materials that provides input energy to the generator of absorption refrigerator. The exergy efficiency of system components is calculated by relations of energy model and exergy analysis. Then thermoeconomic analysis of system makes relation between investment and streams costs of system and exergy efficiency of system components. Two objective functions for optimization of system are considered: Cost rate of total system production (cooled air in evaporator of absorption system) and sum of investment, maintenance and total system production cost rate. Two mathematical models are developed based on objective function mentioned above. After determining constraints related to the energy model, exergy and cost analysis, these mathematical models are optimized based on Genetic Algorithms (GA) method and optimum value of two objective functions and designing parameters of system are obtained. These parameters include: temperature, pressure and mass flow rates of cycle, sizes of collectors and storage system. In during of optimization process, the cost rate of production (Objective function I), COP of absorption system and total energy efficiency of system decrease %38.46,%7.27 and %21.19, respectively. The objective function 2 is sum of cost rate production and cost rate of investment and maintenance. This objective function, COP of absorption system and total energy efficiency of system decrease %11.85, %1.81 and %17.11
- Keywords:
- Energy Modeling ; Exergy Analysis ; Genetic Algorithm ; Thermoeconomic Optimization ; Thermal Energy Storage ; Compound Parabolic Concentrator (CPC)Solar Collector
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