Solar thermo-visual gain optimization of a building using a novel proposed nature-based green system
Document Type
Journal Article
Publication Title
Journal of Thermal Analysis and Calorimetry
Publisher
Springer
School
School of Science
RAS ID
64706
Funders
Ferdowsi University of Mashhad, Iran
Abstract
Nearly buildings consume 40% of the world’s total energy. With the constant push to reduce energy consumption in buildings, a novel nature-based system is proposed for use in buildings. This novel solution is a controllable system that could control solar heat gain, solar illuminance while enhance urban green space and produce local organic vegetables with low water consumption. To assess the system performance, a paired comparison was made in two similar rooms, one with the novel system installed outside its window and the second as the control treatment. The experimental results show that the maximum recorded indoor air temperature and solar thermal gain reductions due to the system installation were 2.9 °C and 61%, respectively. However, it could also decrease useful daylight illuminance up to 22.9%. Therefore, to achieve a stable optimum thermo-visual comfort, the room indoor temperature reduction and useful daylight illuminance were optimized using NSGA-II (Elitist Non-dominated Sorting Genetic Algorithm). The novel system and building nexus provides optimum thermo-visual comfort and approximately 8 kg m−2 per month organic vegetables for building residents. Finally, we proposed a performance flowchart for the transient control of the passive cooling and the natural daylight illumination of the room.
DOI
10.1007/s10973-023-12759-0
Access Rights
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Comments
Naserian, M. M., Khodabakhshian, R., Kazemi, F., & Jozay, M. (2023). Solar thermo-visual gain optimization of a building using a novel proposed nature-based green system. Journal of Thermal Analysis and Calorimetry. Advance online publication. https://doi.org/10.1007/s10973-023-12759-0