研究目的
To design and simulate a 100 MW concentrated solar power plant using Linear Fresnel Reflector technology with molten salt heat transfer fluid in Pakistan to address energy crises and utilize solar energy potential.
研究成果
The simulation demonstrates that a 100 MW CSP plant using LFR technology and Hitec solar salt is thermodynamically feasible in Pakistan, with an annual electricity generation of 220.735 GWh, a capacity factor of 25.2%, and gross to net conversion of 90%. This justifies further investigation and development, though economic analysis and optimization of system configurations are needed for full feasibility assessment.
研究不足
The study focuses on thermodynamic feasibility and does not include a financial model for economic viability. It relies on simulation data, which may not account for all real-world variables such as maintenance issues or weather anomalies. The solar data for Pakistan is not natively available in SAM, requiring conversions from NSRDB.
1：Experimental Design and Method Selection:
The study involves designing a CSP plant using LFR technology and simulating its performance using the System Advisor Model (SAM) for one year. Mathematical modeling includes calculations for solar field parameters, optical efficiency, and thermal output.
2：Sample Selection and Data Sources:
A site near Nawabshah, Pakistan, with specific DNI and environmental conditions is selected. Solar irradiance data is sourced from the National Solar Radiation Database (NSRDB) and integrated into SAM.
3：List of Experimental Equipment and Materials:
The plant design includes Linear Fresnel Reflectors, Hitec solar salt as heat transfer fluid, thermal storage systems, and power cycle components. Specific equipment models or brands are not detailed beyond general descriptions.
4：Experimental Procedures and Operational Workflow:
The simulation is conducted hourly for a year using SAM, inputting parameters such as solar multiple, HTF properties, and site conditions to assess electricity generation and efficiency.
5：Data Analysis Methods:
Results are analyzed for annual energy output, capacity factor, and gross to net conversion using SAM's built-in performance assessment tools.
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