Selection of Input Variables for Covering Materials Through Sensitivity Analysis Based on Greenhouse Energy Demands

Jabin Goo, Hakjong Shin, Jeonga Kang, Sunhye Mun, Younghoon Kwak, Jungho Huh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We aim to select the input variables of covering materials affecting the cooling and heating energy demands of a greenhouse through a sensitivity analysis. Furthermore, we quantitatively evaluate the effects on these demands for identifying items that must be measured and acquired for modeling. Results indicate that solar transmittance, solar reflectance, infrared emissivity, and conductivity significantly affect the energy demands. An energy prediction model is developed by using a multiple regression analysis, which adequately describe the simulation results. We expect that this model can facilitate the comparison of the approximate performance of covering materials during the initial design stage for ordinary farms having difficulty using simulations.

Original languageEnglish
Title of host publicationBS 2021 - Proceedings of Building Simulation 2021
Subtitle of host publication17th Conference of IBPSA
EditorsDirk Saelens, Jelle Laverge, Wim Boydens, Lieve Helsen
PublisherInternational Building Performance Simulation Association
Pages1657-1664
Number of pages8
ISBN (Electronic)9781775052029
DOIs
StatePublished - 2022
Event17th IBPSA Conference on Building Simulation, BS 2021 - Bruges, Belgium
Duration: 1 Sep 20213 Sep 2021

Publication series

NameBuilding Simulation Conference Proceedings
ISSN (Print)2522-2708

Conference

Conference17th IBPSA Conference on Building Simulation, BS 2021
Country/TerritoryBelgium
CityBruges
Period1/09/213/09/21

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