Analysis of Cooling Energy Consumption in Greenhouses Using Hourly Temperature Based on the Heat Balance Method in Hot Summer

Coupling equipment operation parameters with the hourly heat balance model, this study realized the integrated estimation of energy consumption and costs. Meanwhile, two typical greenhouse growth settings were investigated: one at an average temperature of 22.5 °C (25/20 °C and 30/15 °C) and another at 25 °C (35/15 °C and 30/20 °C). Based on the simulation results, in an average temperature of 22.5 °C, the target temperature of 30/15 °C is suggested, whereas in an average temperature of 25 °C, the target temperature of 30/20 °C is suggested. Moreover, two different electricity rate systems, mainly unit-form and time-of-use rates, were used to analyze the running costs of the greenhouse. Due to the energy demand, peaks often happened between 12:00 and 14:00, requiring the manipulation of mechanical environmental control strategies to keep the target temperature; the total electricity cost in time-of-use rates system was a little higher than that in unit-form rate. Results of the dry weights analysis suggest that the DIF30/20 scenario is more practical due to the substantial rise in electricity costs relative to its modest yield improvement for the others. This method achieved an RMSE of less than 2.7 °C for estimating summer greenhouse cooling energy consumption and can provide growers with quantitative temperature setting schemes during hot summers.

Authors

Institutions

Publication Details

Journal
Agronomy
Published
2026-02-12
DOI
https://doi.org/10.3390/agronomy16040434
Primary Topic
Greenhouse Technology and Climate Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Cooling Energy Consumption in Greenhouses Using Hourly Temperature Based on the Heat Balance Method in Hot Summer

Yusuke Kakei, Masahide Isozaki, Wei Cao, Atsushi Oda et al.
Agronomy
Greenhouse Technology and Climate Control
article

Analysis of Cooling Energy Consumption in Greenhouses Using Hourly Temperature Based on the Heat Balance Method in Hot Summer

Yusuke Kakei, Masahide Isozaki, Wei Cao, Atsushi Oda, Rui Wang
article en

Abstract

Coupling equipment operation parameters with the hourly heat balance model, this study realized the integrated estimation of energy consumption and costs. Meanwhile, two typical greenhouse growth settings were investigated: one at an average temperature of 22.5 °C (25/20 °C and 30/15 °C) and another at 25 °C (35/15 °C and 30/20 °C). Based on the simulation results, in an average temperature of 22.5 °C, the target temperature of 30/15 °C is suggested, whereas in an average temperature of 25 °C, the target temperature of 30/20 °C is suggested. Moreover, two different electricity rate systems, mainly unit-form and time-of-use rates, were used to analyze the running costs of the greenhouse. Due to the energy demand, peaks often happened between 12:00 and 14:00, requiring the manipulation of mechanical environmental control strategies to keep the target temperature; the total electricity cost in time-of-use rates system was a little higher than that in unit-form rate. Results of the dry weights analysis suggest that the DIF30/20 scenario is more practical due to the substantial rise in electricity costs relative to its modest yield improvement for the others. This method achieved an RMSE of less than 2.7 °C for estimating summer greenhouse cooling energy consumption and can provide growers with quantitative temperature setting schemes during hot summers.

AgronomyVol. 16(4)
National Agriculture and Food Research Organization (JP), Research Center for Agricultural Information Technology (JP), Institute of Vegetable and Floriculture Science (JP)
Affordable and clean energy
Openalex Percentile: Top 58%
Greenhouse Technology and Climate Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.