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Analysis of Transition of A System from Third Generation to Fourth Generation and Prediction of Its Optimum Behavior

Aslani, Razieh | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51119 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Saidi, Mohamed Hassan
  7. Abstract:
  8. The purpose of the current study is the thermodynamic, economic and environmental analysis of a cogeneration system capable of generating power, freshwater and/or air conditioning (AC) used in buildings. A photovoltaic-thermal system was used in conjunction with a concentrated reflector in order to generate power and heat. Photovoltaic cells and the cogeneration cycle turbine were tasked with generating electric power. In addition, a portion of the heat generated by the thermal collector was used to preheat the working fluid of the third-generation cogeneration cycle and another portion was used to produce freshwater. In order to provide the AC needed during summer, the cogeneration cycle switched to summer operational state and the cooling was provided by the ejector cooling system. In winter, the system worked in winter operational state and the heat was transferred to the residential space by a heat exchanger. This system was analyzed dynamically i.e. the thermal load between the production of freshwater and AC requirement was altered such that the system worked in the optimum state. This state was a combination of favorable thermodynamic, exergy and economic operational conditions. In other words, the proposed optimum system has maximum thermodynamic and exergy efficiencies and minimum period for return on investment. To reach the optimum conditions, the equations were written in the EES software by incorporating weather condition data obtained from TRNSYS. A new combined parameter was defined to optimize the three aforementioned parameters with the purpose of maximizing the new function. The parameters were optimized through all the cycle hours in summer and winter and a set of optimum points were obtained. To find the most optimum point among the ones obtained in the last step, the pollution factor was used as a determining factor. The thermodynamic, exergy and economic coefficients for the optimum cycle were found to be 51.6%, 17.3% and 0. 5 in winter and 40.7%, 15.0% and 0.55 in summer
  9. Keywords:
  10. Organic Rankine Cycle (ORC) ; Water Desalination ; Cogeneration ; Multi-Effect Desalination (MED) ; Parabolic Collector ; Photovoltaic-Thermal System

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