Peña-Fernández, A.; Colón-Reynoso, M.A.; Mazuela, P. Geometric Analysis of Greenhouse Roofs for Energy Efficiency Optimization and Condensation Drip Reduction. Agriculture2024, 14, 216.
Peña-Fernández, A.; Colón-Reynoso, M.A.; Mazuela, P. Geometric Analysis of Greenhouse Roofs for Energy Efficiency Optimization and Condensation Drip Reduction. Agriculture 2024, 14, 216.
Peña-Fernández, A.; Colón-Reynoso, M.A.; Mazuela, P. Geometric Analysis of Greenhouse Roofs for Energy Efficiency Optimization and Condensation Drip Reduction. Agriculture2024, 14, 216.
Peña-Fernández, A.; Colón-Reynoso, M.A.; Mazuela, P. Geometric Analysis of Greenhouse Roofs for Energy Efficiency Optimization and Condensation Drip Reduction. Agriculture 2024, 14, 216.
Abstract
Greenhouses are instrumental in the advancement of regions globally. The geometric arrangement of these structures plays a pivotal role in governing sunlight distribution, facilitating ventilation, and managing condensation. The roof's shape significantly affects energy efficiency and the accumulation of condensation water, which, when dripping onto crops, can induce diseases and diminish production. This study introduces a Matlab program designed for defining and analyzing greenhouse roof geometry, adaptable to both single-span and multi-span structures. Various roof shapes are examined, determining angles along their length to facilitate condensation droplet runoff. Furthermore, the greenhouse's energy efficiency is evaluated by analyzing diverse roof models, accounting for surface area and internal air volume. The results aim to aid in selecting the optimal greenhouse type based on climate and latitude. This study offers a valuable decision-making tool for the planning and design of agricultural structures, providing insights to enhance overall sustainability and performance in diverse environmental contexts.
Keywords
greenhouse; energy efficiency; roof; condensation
Subject
Biology and Life Sciences, Agricultural Science and Agronomy
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
