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A climate-based analysis of photosynthetically active radiation availability in large-scale greenhouses across China
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Sustainable Buildings. Shanghai Inst Technol, Coll Urban Construct & Safety Engn, Shanghai 201418, Peoples R China..ORCID iD: 0000-0003-0550-1149
Univ Liverpool, Sch Architecture, Leverhulme Bldg,Abercromby Sq, Liverpool L69 7ZN, Merseyside, England..
Northwestern Polytech Univ, Sustainable Bldg & Environm Res Inst, Xian 710072, Peoples R China..
2021 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 315, article id 127901Article in journal (Refereed) Published
Abstract [en]

Photosynthetically Active Radiation (PAR) is critically required for sustaining plant and vegetable growth. This study investigated PAR availabilities in two typical large-scale greenhouses using an advanced method of climate-based solar modelling in China. Seven Chinese locations in terms of daylight (solar) climate zones and latitudes were studied. The PAR prediction was conducted via RADIANCE (ray-tracing solar and light simulation package). Key findings were: 1) A climate-based analysis was proved as more practical than the methods based on only clear sky and solar geometries. 2) A ray-tracing solar modelling could effectively predict PAR levels at specific positions (e.g. vertical planes), which could benefit the development of vertical farming activities. 3) The PAR availability could receive insignificant impact from roof configuration in these large-scale greenhouses. 4) For the approach of vertical farming, the vertical arrangement of planting system could be significantly affected by greenhouse orientations, while horizontally no such effect can be found. These findings could be developed into design strategies to support greenhouse planning.

Place, publisher, year, edition, pages
Elsevier BV , 2021. Vol. 315, article id 127901
Keywords [en]
Photosynthetically active radiation (PAR), Greenhouse, RADIANCE simulation, Daylight climate zone, China
National Category
Building Technologies
Identifiers
URN: urn:nbn:se:kth:diva-306486DOI: 10.1016/j.jclepro.2021.127901ISI: 000723248400006Scopus ID: 2-s2.0-85114683915OAI: oai:DiVA.org:kth-306486DiVA, id: diva2:1637551
Note

QC 20220214

Available from: 2022-02-14 Created: 2022-02-14 Last updated: 2024-08-28Bibliographically approved

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Wang, Cong

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