LAPSE:2023.0927
Published Article

LAPSE:2023.0927
Application of Spatial Analysis to Determine the Effect of Insulation Thickness on Energy Efficiency and Cost Savings for Cold Storage
February 21, 2023
Abstract
Cold storage facilities consume a considerable amount of energy, especially in hot climates, which can be decreased using thermal insulators to maintain a stable temperature. The primary aim of this research study was to determine the effect of insulation thickness on the energy efficiency and cost savings of exterior walls for cold storage facilities in all climatic zones of Türkiye. To this end, data from the meteorological databases of 81 provinces were analyzed, and four insulation materials (expanded polystyrene, extruded polystyrene, rock wool, and polyurethane) were selected for different cold storage reference temperatures. The spatial distributions of optimal insulation thickness, energy savings, and payback periods were derived using a geographic information system (Ordinary Kriging). The optimum insulation thickness and energy savings were found to be 0.020−0.137 m and 0.030−6.883 USD/m2, respectively. Depending on the insulation material and base temperature, the shortest payback periods (1.498−3.457 years) were obtained in the Aegean and Mediterranean regions. In addition, rock wool provided the highest energy savings and the shortest payback period among all the insulation materials studied. The results from this study can help investors to improve their design considerations for cold storage wall insulation.
Cold storage facilities consume a considerable amount of energy, especially in hot climates, which can be decreased using thermal insulators to maintain a stable temperature. The primary aim of this research study was to determine the effect of insulation thickness on the energy efficiency and cost savings of exterior walls for cold storage facilities in all climatic zones of Türkiye. To this end, data from the meteorological databases of 81 provinces were analyzed, and four insulation materials (expanded polystyrene, extruded polystyrene, rock wool, and polyurethane) were selected for different cold storage reference temperatures. The spatial distributions of optimal insulation thickness, energy savings, and payback periods were derived using a geographic information system (Ordinary Kriging). The optimum insulation thickness and energy savings were found to be 0.020−0.137 m and 0.030−6.883 USD/m2, respectively. Depending on the insulation material and base temperature, the shortest payback periods (1.498−3.457 years) were obtained in the Aegean and Mediterranean regions. In addition, rock wool provided the highest energy savings and the shortest payback period among all the insulation materials studied. The results from this study can help investors to improve their design considerations for cold storage wall insulation.
Record ID
Keywords
degree days, Energy, geostatistics, kriging
Suggested Citation
Küçüktopcu E, Cemek B, Simsek H. Application of Spatial Analysis to Determine the Effect of Insulation Thickness on Energy Efficiency and Cost Savings for Cold Storage. (2023). LAPSE:2023.0927
Author Affiliations
Küçüktopcu E: Department of Agricultural Structures and Irrigation, Ondokuz Mayıs University, Samsun 55139, Türkiye [ORCID]
Cemek B: Department of Agricultural Structures and Irrigation, Ondokuz Mayıs University, Samsun 55139, Türkiye
Simsek H: Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA [ORCID]
Cemek B: Department of Agricultural Structures and Irrigation, Ondokuz Mayıs University, Samsun 55139, Türkiye
Simsek H: Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA [ORCID]
Journal Name
Processes
Volume
10
Issue
11
First Page
2393
Year
2022
Publication Date
2022-11-14
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr10112393, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.0927
This Record
External Link

https://doi.org/10.3390/pr10112393
Publisher Version
Download
Meta
Record Statistics
Record Views
207
Version History
[v1] (Original Submission)
Feb 21, 2023
Verified by curator on
Feb 21, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.0927
Record Owner
Auto Uploader for LAPSE
Links to Related Works
