研究目的
Investigating the possibility of reducing fuel consumption by coupling a small-scale, completely autonomous combined cooling, heating, and power (CCHP) system to a photovoltaic (PV) subsystem.
研究成果
The integration of a PV subsystem with a CCHP system can significantly reduce fuel consumption and CO2 emissions, with the optimal PV capacity found to be 300 kWe. The system achieves a minimum lifecycle cost of 3.509 million € and a unit cost of electricity of 0.067 €/kWh. Future reductions in PV costs could further enhance the economic benefits of such systems.
研究不足
The study assumes simplified thermodynamic processes for some components (e.g., LNG regasification) and does not include components related to regulating voltage/frequency, which would be necessary in a complete system. The economic feasibility is heavily dependent on current costs of PV subsystems and natural gas, which may vary.
1:Experimental Design and Method Selection:
The study involves modeling and simulating a PV-assisted CCHP system using a gas turbine cycle and a PV subsystem. The methodology includes thermodynamic modeling, cost analysis, and parametric studies to evaluate system performance under various configurations.
2:Sample Selection and Data Sources:
The load profile is based on consumption data for an average 100 m2 household in Nicosia, Cyprus. Solar data for the PV subsystem are taken from Typical Meteorological Year (TMY2) data for Nicosia.
3:List of Experimental Equipment and Materials:
The system includes a gas turbine cycle, PV panels, heat exchangers, an absorption chiller, and a district energy network. Specific costs and parameters for these components are detailed in the paper.
4:Experimental Procedures and Operational Workflow:
The system is simulated at full-load and part-load conditions to generate operating data. The PV subsystem's power output is varied from 0 to 600 kWe in a parametric study to determine the optimal configuration.
5:Data Analysis Methods:
The analysis includes thermodynamic performance metrics (e.g., net electrical efficiency, primary energy ratio) and economic metrics (e.g., lifecycle cost). The commercial software Engineering Equation Solver (EES) Professional version is used for simulations and parametric studies.
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