研究目的
Investigating the technical and economic performance of linear parabolic and flat plate solar collectors for heating a residential building in the South-East of Iran.
研究成果
The LPC heating system outperforms the FPC system in terms of higher thermal energy generation (44% more received solar energy) and better economic returns (22.8% rate of return vs. 18.1%). The presence of a thermal storage tank reduces heat loss and auxiliary heating needs, with LPC benefiting more. Solar fractions were 22% for LPC and 8.6% for FPC, indicating LPC's superior efficiency. Future studies could include experimental validation and optimization for different climates.
研究不足
The study assumes negligible effects of shading, dust, and dirt on collectors, and negligible heat losses in pipelines and heat exchangers. It is based on simulation using specific weather data and may not account for all real-world variations or extreme conditions. Economic analysis relies on assumed costs and inflation rates, which could vary.
1：Experimental Design and Method Selection:
The study used TRNSYS software for dynamic simulation of solar heating systems, including building modeling, solar collectors, thermal storage tank, heat exchangers, and controllers. Mathematical models based on energy balance equations were employed for components like collectors and storage tanks.
2：Sample Selection and Data Sources:
A residential building in Kerman, Iran, with a floor area of 110 m2 was selected. Weather data from the Typical Meteorological Year (TMY2) for Kerman (1961-1990) was used, sourced from TRNSYS library and meteorological office data.
3：List of Experimental Equipment and Materials:
Solar collectors (linear parabolic and flat plate), thermal storage tank, heat exchangers (shell and tube type), pumps, auxiliary gas heater, and control systems. Specifications are detailed in Table 2, e.g., collector areas, efficiency parameters, fluid properties.
4：Experimental Procedures and Operational Workflow:
Systems were simulated over a year (8760 hours). Control strategies included ON/OFF controllers for solar field flow and load loop based on temperature thresholds. Simulations were run for systems with and without thermal storage tanks.
5：Data Analysis Methods:
Energy performance metrics (e.g., solar fraction, heat loss) and economic indicators (e.g., payback time, rate of return) were calculated. TRNSYS outputs were analyzed for monthly and annual performance comparisons.
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