Performance Assessment of Solar Cooling Technologies for Cold Warehouse Storage Efficiency

The ecological implications associated with conventional air cooling systems, which are primarily fossil fuel-based, are significant in terms of both greenhouse gas emissions and energy consumption. Based on these challenges, the current study investigates the feasibility of a solar-powered air cooling system as an alternative solution. An evaluation of the effectiveness of this research work is made through experimental analysis and detailed Life Cycle Assessment (LCA) where criteria include energy efficiency, carbon emission, and generally ecological benefits. Results were obtained such that the Coefficient of Performance (COP) for the solar-based system is within the range of 3.5 to 4.2. Additionally, lifecycle emissions are decreased by approximately 45% because the system produces 50 kg CO₂e for each unit of cooling, as compared to the 90 kg CO₂e produced by traditional systems. The study focuses on operational benefits of solar energy that significantly minimize environmental impacts in the whole lifecycle of the system, especially during the operational period. This would include the following key limitations: high initial cost; dust collection on the surfaces of solar panels, particularly in areas with very frequent dust collection; and post-closure recycling. Overall, research on solar-operated air cooling systems is valuable since it has the potential for energy-efficient and environment-friendly cooling while also suggesting technology as well as policy improvements in several regards toward feasible, deployable solutions.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-19
DOI
https://doi.org/10.5281/zenodo.15247614
Primary Topic
Adsorption and Cooling Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Performance Assessment of Solar Cooling Technologies for Cold Warehouse Storage Efficiency

Zenodo (CERN European Organization for Nuclear Research)
Adsorption and Cooling Systems
article

Performance Assessment of Solar Cooling Technologies for Cold Warehouse Storage Efficiency

article en

Abstract

The ecological implications associated with conventional air cooling systems, which are primarily fossil fuel-based, are significant in terms of both greenhouse gas emissions and energy consumption. Based on these challenges, the current study investigates the feasibility of a solar-powered air cooling system as an alternative solution. An evaluation of the effectiveness of this research work is made through experimental analysis and detailed Life Cycle Assessment (LCA) where criteria include energy efficiency, carbon emission, and generally ecological benefits. Results were obtained such that the Coefficient of Performance (COP) for the solar-based system is within the range of 3.5 to 4.2. Additionally, lifecycle emissions are decreased by approximately 45% because the system produces 50 kg CO₂e for each unit of cooling, as compared to the 90 kg CO₂e produced by traditional systems. The study focuses on operational benefits of solar energy that significantly minimize environmental impacts in the whole lifecycle of the system, especially during the operational period. This would include the following key limitations: high initial cost; dust collection on the surfaces of solar panels, particularly in areas with very frequent dust collection; and post-closure recycling. Overall, research on solar-operated air cooling systems is valuable since it has the potential for energy-efficient and environment-friendly cooling while also suggesting technology as well as policy improvements in several regards toward feasible, deployable solutions.

Zenodo (CERN European Organization for Nuclear Research)
Responsible consumption and production
Openalex Percentile: Top 54%
Adsorption and Cooling Systems
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Performance Assessment of Solar Cooling Technologies for Cold Warehouse Storage Efficiency · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS