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

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.

CCHP, SP, renewable, resource allocation, genetic