研究目的
Investigating the performance and economic viability of a small-scale CSP system composed of a solar tower and a recuperative air micro gas turbine.
研究成果
The study demonstrates that a small-scale CSP system based on a solar tower coupled with a micro-gas turbine can achieve a solar-to-electricity efficiency of 16.3% and a competitive LCOE of 158 V/MWh when designed for an EDNI of 550 W/m2. Hybridization with natural gas or biomethane and the addition of a bottoming ORC coupled with a dedicated low-temperature TES are suggested to overcome the limitations of the solar-only solution and make the system more competitive.
研究不足
The study is limited by the early development stage of the technology, particularly the high-temperature receiver, which is a bottleneck for the adoption of gas turbine engines in the CSP field. The economic analysis is affected by unavoidable uncertainty in cost estimates.
1:Experimental Design and Method Selection:
A code was developed to determine the optical performance of the heliostat field coupled with a secondary concentrator, and another code computes the thermal engine performance. The heliostat field layout is taken from a real plant, and the secondary optics is studied to maximize the optical-thermal efficiency.
2:Sample Selection and Data Sources:
The 832 m2 heliostat field layout is taken from a real plant. Weather data (time series of direct normal irradiance and ambient temperature) for Seville (37.4N, -5.9W) with an annual direct normal insolation of 2090 kWh/m2/y is used.
3:4N, -9W) with an annual direct normal insolation of 2090 kWh/m2/y is used.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: The system includes a solar tower, a recuperative air micro gas turbine, a heliostat field, and a secondary compound parabolic concentrator (CPC).
4:Experimental Procedures and Operational Workflow:
The optical performance of the concentrating system is modeled using a Monte Carlo ray-tracing code. The thermal engine performance is modeled to predict behavior at part-load as a function of the heat input and ambient air temperature.
5:Data Analysis Methods:
The yearly electric energy yield is obtained for different solar multiples, and the LCOE is minimized. The impact of design EDNI and ambient temperature on yearly electricity yield and LCOE is investigated.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容