Heat Recovery Potential in a Semi-Closed Greenhouse for Tomato Cultivation
Abdelouhab Labihi,
Paul Byrne (),
Amina Meslem,
Florence Collet and
Sylvie Prétot
Additional contact information
Abdelouhab Labihi: Laboratoire Génie Civil et Génie Mécanique (LGCGM), University of Rennes, 35000 Rennes, France
Paul Byrne: Laboratoire Génie Civil et Génie Mécanique (LGCGM), University of Rennes, 35000 Rennes, France
Amina Meslem: Laboratoire Génie Civil et Génie Mécanique (LGCGM), University of Rennes, 35000 Rennes, France
Florence Collet: Laboratoire Génie Civil et Génie Mécanique (LGCGM), University of Rennes, 35000 Rennes, France
Sylvie Prétot: Laboratoire Génie Civil et Génie Mécanique (LGCGM), University of Rennes, 35000 Rennes, France
Clean Technol., 2023, vol. 5, issue 4, 1-27
Abstract:
This study first presents the development and the experimental validation of a numerical model of a semi-closed greenhouse using a dynamic thermal simulation. The second objective was to identify the influential parameters on the indoor climate and to calculate the heating demand of the greenhouse. The model reproduced the behavior of a full-scale experimental greenhouse in Carquefou (France). The comparison with experimental measurements recorded over an entire season of tomato cultivation validated the numerical model. The result of the simulated energy consumption was 310 kWh/m 2 /year with a relative error of 3.5%. The parametric study identified that the evapotranspiration power and ventilation rate were the most influential input variables, accounting for 50% and 32%, respectively, of the heating demand. The most sensitive output variable was indoor humidity. The presence of a thermal buffer zone all around the greenhouse reduced the energy consumption by 48%, and thermal/shading screens reduced it by 30%. The final objective was to assess the amount of heat recovery potential over the year and each week, depending on the energy storage strategy. Around 43 kWh/m 2 /year can be recovered over the year, leading to a potential energy savings of 24%.
Keywords: heat recovery; semi-closed greenhouse; dynamic thermal simulation; evapotranspiration; humidity management (search for similar items in EconPapers)
JEL-codes: Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2571-8797/5/4/58/pdf (application/pdf)
https://www.mdpi.com/2571-8797/5/4/58/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jcltec:v:5:y:2023:i:4:p:58-1185:d:1245528
Access Statistics for this article
Clean Technol. is currently edited by Ms. Shary Song
More articles in Clean Technol. from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().