Monte Carlo Optimization of a Solar Combisystem Using Photovoltaic-Thermal Systems in Hot and Dry Climatic Condition | ||
| Journal of Heat and Mass Transfer Research | ||
| مقاله 12، دوره 9، شماره 2 - شماره پیاپی 18، بهمن 2022، صفحه 233-244 اصل مقاله (761.07 K) | ||
| نوع مقاله: Full Length Research Article | ||
| شناسه دیجیتال (DOI): 10.22075/jhmtr.2023.28432.1394 | ||
| نویسندگان | ||
| Maryam Karami* 1؛ Kiavash Akbari2؛ Mohammad Jalalizadeh2 | ||
| 1Department of Mechanical Enginnering, Faculty of Enginnering, Kharazmi Univeristy, Tehran, Iran | ||
| 2Department of Architectural Technology, Faculty of Architecture and Urbanism, University of Art, Tehran, Iran | ||
| چکیده | ||
| In this study, the performance of a solar combisystem using glazed thermal photovoltaic-thermal systems is investigated and optimized to provide the thermal and electrical demands of a five-story building in Hot/Dry climatic conditions (Tehran, Iran). Dynamic simulation of the system performance is carried out using TRNSYS software. Since there is no type for a glazed thermal photovoltaic-thermal system in TRNSYS, it is modeled in MATLAB software and then the modeling results are coupled with the TRNSYS model. The system optimization using a stochastic economic analysis based on the Monte Carlo method showed the solar combisystem with a photovoltaic-thermal system area of 31.93 m2 and a thermal storage tank of 400 l provides the building energy demands optimally. For the optimum system, the probability that the payback time is less than 5 years, the internal rate of return is more than 20% and the life cycle savings is more than the initial cost is 74.2%, 11.5%, and 97%, respectively. The thermoelectric analysis of the optimum solar combisystem indicates that, in August, the maximum electrical, thermal, and total solar fractions of the system are obtained, which are 11%, 87%, and 39%, respectively. | ||
| کلیدواژهها | ||
| Solar combisystem؛ Photovoltaic-thermal system؛ Dynamic simulation؛ Monte Carlo optimization؛ TRNSYS | ||
| مراجع | ||
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