Abstract
Iran’s removing subsidy from energy carrier in four years ago leads to spike electricity price dramatically. This abrupt change increases the interest on distributed generation (DG) because of its several benefits such as lower electricity generation price. In Iran among all type of DGs, because of wide natural gas network infrastructure and several incentives that government legislated to support combined cooling, heat and power (CCHP) investors, this type of technology is more prevalent in comparison with other technologies. Between existing CCHP technologies, certain economic choices are to be taken into account. For different buildings with different load curves, suitable size and operation of CCHP should be calculated to make the project more feasible. If CCHP does not well suited for a position, then the whole energy efficiency would be plunged significantly. In this paper, a model to find the optimal size and operation of CCHP and auxiliary boiler for any users is proposed by considering an integrated view of electricity and natural gas network using GAMS software. Then this method is applying for a hospital in Tehran as a real case study. Finally, by applying COMFAR III software, useful financial parameters and sensitivity analysis are calculated.
Highlights
The development of poly-generation smart grids represents an interesting solution to satisfy electricity and heat demand and emission reduction [1,2]: poly-generation smart grids generate electricity, heating and cooling thermal power close to end users, solving the main disadvantages of the centralized generation approach, due to energy transmission [3]
In Iran among all type of distributed generation (DG), because of wide natural gas network infrastructure and several incentives that government legislated to support combined cooling, heat and power (CCHP) investors, this type of technology is more prevalent in comparison with other technologies
A model to find the optimal size and operation of CCHP and auxiliary boiler for any users is proposed by considering an integrated view of electricity and natural gas network using GAMS software
Summary
The development of poly-generation smart grids represents an interesting solution to satisfy electricity and heat demand and emission reduction [1,2]: poly-generation smart grids generate electricity, heating and cooling thermal power close to end users, solving the main disadvantages of the centralized generation approach, due to energy transmission [3]. Reliability enhancement has received substantial attention as it reduces the costs of losses incurred by utility customers as a result of power failures [7] All of these costs and benefits are calculated in terms of Present Value Factor (PVF), accumulated over the economic life of the respective equipment. Test results show that with proper size selection, CCHP placement can be used to improve service reliability, and reduce power loss and emission costs [8]. Sheikhi et al [10] proposed an optimization model to find the optimal size and operation for combined cooling, heat and power systems, in order to reduce power loss and enhance service reliability of the system. Conclusions are drawn in “List of Symbols and Abbreviations”
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