Detailed Information

Cited 11 time in webofscience Cited 15 time in scopus
Metadata Downloads

Development of a Building Energy Simulation Model for Control of Multi-Span Greenhouse Microclimateopen access

Authors
Rasheed, AdnanKwak, Cheul SoonNa, Wook HoLee, Jong WonKim, Hyeon TaeLee, Hyun Woo
Issue Date
Sep-2020
Publisher
MDPI
Keywords
thermal screen control; heat energy saving; greenhouse microclimate control; multi-span greenhouse; TRNSYS
Citation
AGRONOMY-BASEL, v.10, no.9
Indexed
SCIE
SCOPUS
Journal Title
AGRONOMY-BASEL
Volume
10
Number
9
URI
https://scholarworks.bwise.kr/gnu/handle/sw.gnu/6288
DOI
10.3390/agronomy10091236
Abstract
In this study, we propose a building energy simulation model of a multi-span greenhouse using a transient system simulation program to simulate greenhouse microenvironments. The proposed model allows daily and seasonal control of screens, roof vents, and heating setpoints according to crop needs. The proposed model was used to investigate the effect of different thermal screens, natural ventilation, and heating setpoint controls on annual and maximum heating loads of a greenhouse. The experiments and winter season weather conditions of greenhouses in Taean Gun (latitude 36.88 degrees N, longitude 126.24 degrees E, elevation 45 m) Chungcheongnam-do, South Korea was used for validation of our model. Nash-Sutcliffe efficiency coefficients of 0.87 and 0.71 showed good correlation between the computed and experimental results; thus, the proposed model is appropriate for performing greenhouse thermal simulations. The results showed that the heating loads of the triple-layered screen were 70% and 40% lower than that of the single-screen and double-screen greenhouses, respectively. Moreover, the maximum heating loads without a screen and for single-, double-, and the triple-layered screens were 0.65, 0.46, 0.41, and 0.34 MJ m(-2), respectively. The analysis of different screens showed that Ph-77 (shading screen) combined with Ph-super (thermal screen) had the least heating requirements. The heating setpoint analysis predicted that using the designed day- and nighttime heating control setpoints can result in 3%, 15%, 14%, 15%, and 40% less heating load than when using the fixed value temperature control for November, December, January, February, and March, respectively.
Files in This Item
There are no files associated with this item.
Appears in
Collections
농업생명과학대학 > 생물산업기계공학과 > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Hyeon Tae photo

Kim, Hyeon Tae
농업생명과학대학 (생물산업기계공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE