Designing an Optimal System of Combined Heat, Cold and Power for a Building

In this study, supply electrical, heating and cooling loads in the building by a separate production system and a cogeneration system, particle swarm optimization algorithm in five different scenarios were studied and analyzed (For example, Data and Information a high-rise building base 72, in the city of Kerman is used). The results show that, cold and heat power system of micro gas turbine with a capacity of 195kW as the primary driver, of absorption chiller and electric chiller respectively with a capacity of 281kW and 439kW to provide cooling load, boiler with a capacity of 187kW to compensate for the lack of heat load and from photovoltaic/thermal system with a capacity of 52.8kW to generation electric load and supply hot water used, optimal system is to supply the base building loads. In this optimized system, the annual electricity sales revenue of  2,814,420,000R, The annual cost of buying the power of 211,560,000R, The cost of buying fuel annual consumption of 475,560,000R, and annual production carbon dioxide emissions in the building are 230.42tons. The initial payback period of the project is estimated at 5.167 years.