研究目的
To investigate the annual performance of a solar tower aided coal-fired power system and optimize the thermal storage capacity to achieve the lowest levelized cost of electricity, while exploring the influence of different direct normal irradiance conditions and economic factors.
研究成果
The STACP system significantly reduces coal consumption and CO2 emissions compared to a conventional coal-fired power plant, with reductions of up to 14,000 tons of coal annually. The optimal thermal storage capacity varies with solar multiple and DNI conditions, and economic factors like coal price and CO2 penalty costs have a substantial impact on the system's profitability. The hybrid PSO-GA optimization effectively minimizes the levelized cost of electricity.
研究不足
The study assumes constant power output and does not fully account for all real-time variations in power load. The optimization is specific to the 600 MWe power plant and may not be directly applicable to other scales. The economic parameters are based on assumptions that could vary in practice.
1:Experimental Design and Method Selection:
The study uses a simulation model for a solar tower aided coal-fired power (STACP) system, incorporating detailed boiler modeling instead of a black-box approach. A hybrid PSO-GA optimization algorithm is employed to optimize thermal energy storage capacity.
2:Sample Selection and Data Sources:
The analysis is based on a 600 MWe supercritical coal-fired power plant. Solar resource data from typical meteorological years for Bakersfield, Lhasa, and Beijing are used, obtained from the System Advisor Model (SAM) software.
3:List of Experimental Equipment and Materials:
Includes a radial staggered heliostat field, solar tower, molten salt receiver, two-tank molten salt thermal storage system, steam generator, boiler, turbine, generator, and other power plant components. Molten salt is a mixture of 60% NaNO3 and 40% KNO
4:Experimental Procedures and Operational Workflow:
The simulation involves calculating solar energy collection, thermal energy storage, and power generation on an hourly basis over a year, considering real-time power loads and DNI variations. The operational strategy includes defocusing heliostats when excess energy is produced.
5:Data Analysis Methods:
Performance metrics such as annual solar generating power, solar-to-electricity efficiency, coal consumption, CO2 emissions, and levelized cost of electricity are calculated. Sensitivity analysis is conducted for economic parameters like coal price, CO2 emission penalty cost, thermal storage cost, and heliostat cost.
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