Spectrally selective matching based coupled solar-space energy utilization system and performance impact study

The continuous consumption of fossil fuels has led to a global energy shortage. Enhancing energy efficiency in the construction sector has become a major research focus. In this study, the integration of Radiative Cooling (RC) technology, Solar Thermal (ST) technology, and blinds is considered. The effect of system parameters such as blade angle, gap width and air intake velocity on the cooling or heating performance of the system is discussed and analyzed. Both simulation and experimental methodologies were employed to evaluate the cooling and heating capacity of the RC-ST blind systems. And the performance of the system in four different regions was analyzed. The results show that the average maximum cooling power of the system can reach 117.93 W/m2, and the maximum heating power can reach 346.40 W/m2. The average cavity temperature rise in cooling mode increases by 0.22 °C, while in heating mode it decreases by 0.98 °C. In addition, the system can achieve 9033.14 MJ and 951.65 MJ of cooling and heating per month, respectively, demonstrating considerable district heating and cooling capabilities. This study demonstrates the significant potential of utilizing solar and space energy in the field of building energy conservation , providing valuable insights for future applications. • Radiative cooling and solar thermal have been combined with the blind system. • Simulation and experiment were used to study the performance of the blind system. • Four cities were selected to assess the feasibility and adaptability of the system. • It could achieve up to 9033.14 MJ and 951.65 MJ of monthly heating and cooling.

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Publication Details

Journal
Energy
Published
2025-03-18
DOI
https://doi.org/10.1016/j.energy.2025.135664
Citations
1
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
2.48
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article

Spectrally selective matching based coupled solar-space energy utilization system and performance impact study

Song Lv, Yin Lai, Yangyang Wu, Mingming Zhang et al.
1 citations
Energy
Solar Radiation and Photovoltaics
2.48
article

Spectrally selective matching based coupled solar-space energy utilization system and performance impact study

Song Lv, Yin Lai, Yangyang Wu, Mingming Zhang, Guoqing Shi, Jingcai Deng, Mengqi Feng, Ying Guo
article en
1 citations

Abstract

The continuous consumption of fossil fuels has led to a global energy shortage. Enhancing energy efficiency in the construction sector has become a major research focus. In this study, the integration of Radiative Cooling (RC) technology, Solar Thermal (ST) technology, and blinds is considered. The effect of system parameters such as blade angle, gap width and air intake velocity on the cooling or heating performance of the system is discussed and analyzed. Both simulation and experimental methodologies were employed to evaluate the cooling and heating capacity of the RC-ST blind systems. And the performance of the system in four different regions was analyzed. The results show that the average maximum cooling power of the system can reach 117.93 W/m2, and the maximum heating power can reach 346.40 W/m2. The average cavity temperature rise in cooling mode increases by 0.22 °C, while in heating mode it decreases by 0.98 °C. In addition, the system can achieve 9033.14 MJ and 951.65 MJ of cooling and heating per month, respectively, demonstrating considerable district heating and cooling capabilities. This study demonstrates the significant potential of utilizing solar and space energy in the field of building energy conservation , providing valuable insights for future applications. • Radiative cooling and solar thermal have been combined with the blind system. • Simulation and experiment were used to study the performance of the blind system. • Four cities were selected to assess the feasibility and adaptability of the system. • It could achieve up to 9033.14 MJ and 951.65 MJ of monthly heating and cooling.

EnergyVol. 322
Wuhan University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 11%
Solar Radiation and Photovoltaics
2.48
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