Modeling a New CCHP System with Renewable Energy Resources and optimizing by a genetic algorithm
Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
View: 896
This Paper With 11 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ETEC04_305
تاریخ نمایه سازی: 19 تیر 1394
Abstract:
Combined cooling, heating and power (CCHP) systems have attracted lots of attention because of heat loss and energy conversion costs reduction. In order to minimize contamination and fossil fuels consumption, a new CCHP system including photovoltaic (PV) arrays, wind turbines, and solid oxide fuel cells (SOFC) as the prime movers is proposed in this paper. The optimal resource allocation of the system is obtained by employing a genetic optimization algorithm. Electrical demand management (EDM) and thermal demand management (TDM) operation strategies in the CCHP systems evaluation are considered simultaneously. Therefore, the system provides the heat, cold, and power demands without having to the local power grid and any auxiliary heat production system. The system can be used as off-grid in every place and time. To evaluate the renewable CCHP system performance, the fuel consumption and pollution of a traditional separated production (SP) system is evaluated and compared with the ones of the proposed CCHP system. It will be shown that the CCHP system satisfies the demands simultaneously, and significantly decreases fossil fuels consumption and pollution in comparison to SP systems.
Keywords:
Authors
Saman Soheyli
Graduate, University of Sistan and Baluchestan
Mohamad Hossein Shafiei Mayam
Assistant Professor, University of Sistan and Baluchestan
Mehri Mehrjoo
Assistant Professor, University of Sistan and Baluchestan
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :