Modeling of stochastic temperature and heat stress directly underneath agrivoltaic conditions with orthosiphon stamineus crop cultivation
This paper presents the field measured data of the ambient temperature profile and the heat stress occurrences directly underneath ground-mounted solar photovoltaic (PV) arrays (monocrystalline-based), focusing on different temperature levels. A previous study has shown that a 1 °C increase in PV ce...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
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Multidisciplinary Digital Publishing Institute
2020
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Online Access: | http://psasir.upm.edu.my/id/eprint/86783/1/Modeling%20of%20stochastic%20temperature.pdf |
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author | Othman, Noor Fadzlinda Ya'acob, Mohammad Effendy Mat Su, Ahmad Suhaizi Jaafar, Juju Nakasha Hizam, Hashim Shahidan, Mohd Fairuz Jamaluddin, Ahmad Hakiim Guangnan, Chen Jalaludin, Adam |
author_facet | Othman, Noor Fadzlinda Ya'acob, Mohammad Effendy Mat Su, Ahmad Suhaizi Jaafar, Juju Nakasha Hizam, Hashim Shahidan, Mohd Fairuz Jamaluddin, Ahmad Hakiim Guangnan, Chen Jalaludin, Adam |
author_sort | Othman, Noor Fadzlinda |
collection | UPM |
description | This paper presents the field measured data of the ambient temperature profile and the heat stress occurrences directly underneath ground-mounted solar photovoltaic (PV) arrays (monocrystalline-based), focusing on different temperature levels. A previous study has shown that a 1 °C increase in PV cell temperature results in a reduction of 0.5% in energy conversion efficiency; thus, the temperature factor is critical, especially to solar farm operators. The transpiration process also plays an important role in the cooling of green plants where, on average, it could dissipate a significant amount of the total solar energy absorbed by the leaves, making it a good natural cooling mechanism. It was found from this work that the PV system’s bottom surface temperature was the main source of dissipated heat, as shown in the thermal images recorded at 5-min intervals at three sampling times. A statistical analysis further showed that the thermal correlation for the transpiration process and heat stress occurrences between the PV system’s bottom surface and plant height will be an important factor for large scale plant cultivation in agrivoltaic farms. |
first_indexed | 2024-03-06T10:42:18Z |
format | Article |
id | upm.eprints-86783 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T10:42:18Z |
publishDate | 2020 |
publisher | Multidisciplinary Digital Publishing Institute |
record_format | dspace |
spelling | upm.eprints-867832021-11-16T06:30:29Z http://psasir.upm.edu.my/id/eprint/86783/ Modeling of stochastic temperature and heat stress directly underneath agrivoltaic conditions with orthosiphon stamineus crop cultivation Othman, Noor Fadzlinda Ya'acob, Mohammad Effendy Mat Su, Ahmad Suhaizi Jaafar, Juju Nakasha Hizam, Hashim Shahidan, Mohd Fairuz Jamaluddin, Ahmad Hakiim Guangnan, Chen Jalaludin, Adam This paper presents the field measured data of the ambient temperature profile and the heat stress occurrences directly underneath ground-mounted solar photovoltaic (PV) arrays (monocrystalline-based), focusing on different temperature levels. A previous study has shown that a 1 °C increase in PV cell temperature results in a reduction of 0.5% in energy conversion efficiency; thus, the temperature factor is critical, especially to solar farm operators. The transpiration process also plays an important role in the cooling of green plants where, on average, it could dissipate a significant amount of the total solar energy absorbed by the leaves, making it a good natural cooling mechanism. It was found from this work that the PV system’s bottom surface temperature was the main source of dissipated heat, as shown in the thermal images recorded at 5-min intervals at three sampling times. A statistical analysis further showed that the thermal correlation for the transpiration process and heat stress occurrences between the PV system’s bottom surface and plant height will be an important factor for large scale plant cultivation in agrivoltaic farms. Multidisciplinary Digital Publishing Institute 2020-09-25 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/86783/1/Modeling%20of%20stochastic%20temperature.pdf Othman, Noor Fadzlinda and Ya'acob, Mohammad Effendy and Mat Su, Ahmad Suhaizi and Jaafar, Juju Nakasha and Hizam, Hashim and Shahidan, Mohd Fairuz and Jamaluddin, Ahmad Hakiim and Guangnan, Chen and Jalaludin, Adam (2020) Modeling of stochastic temperature and heat stress directly underneath agrivoltaic conditions with orthosiphon stamineus crop cultivation. Agronomy, 10 (10). pp. 1-15. ISSN 2073-4395 https://www.mdpi.com/2073-4395/10/10/1472 10.3390/agronomy10101472 |
spellingShingle | Othman, Noor Fadzlinda Ya'acob, Mohammad Effendy Mat Su, Ahmad Suhaizi Jaafar, Juju Nakasha Hizam, Hashim Shahidan, Mohd Fairuz Jamaluddin, Ahmad Hakiim Guangnan, Chen Jalaludin, Adam Modeling of stochastic temperature and heat stress directly underneath agrivoltaic conditions with orthosiphon stamineus crop cultivation |
title | Modeling of stochastic temperature and heat stress directly underneath agrivoltaic conditions with orthosiphon stamineus crop cultivation |
title_full | Modeling of stochastic temperature and heat stress directly underneath agrivoltaic conditions with orthosiphon stamineus crop cultivation |
title_fullStr | Modeling of stochastic temperature and heat stress directly underneath agrivoltaic conditions with orthosiphon stamineus crop cultivation |
title_full_unstemmed | Modeling of stochastic temperature and heat stress directly underneath agrivoltaic conditions with orthosiphon stamineus crop cultivation |
title_short | Modeling of stochastic temperature and heat stress directly underneath agrivoltaic conditions with orthosiphon stamineus crop cultivation |
title_sort | modeling of stochastic temperature and heat stress directly underneath agrivoltaic conditions with orthosiphon stamineus crop cultivation |
url | http://psasir.upm.edu.my/id/eprint/86783/1/Modeling%20of%20stochastic%20temperature.pdf |
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