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Environmental trade-offs in fresh-fruit cold chains by combining virtual cold chains with life cycle assessment

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  • Wu, Wentao
  • Beretta, Claudio
  • Cronje, Paul
  • Hellweg, Stefanie
  • Defraeye, Thijs

Abstract

Refrigeration is vital in fresh-produce supply chains for minimizing food losses. However, it requires energy and impacts the environment. To optimize the control and logistics of postharvest cold chains, we need to better identify trade-offs between maintaining fruit quality and reducing environmental impacts. Therefore, we propose a novel computational method, by combining life cycle assessment with virtual cold chains. This holistic approach allows us, on the one hand, to track the thermal history of the cooling process and fruit quality decay of each single fruit in an entire pallet throughout the cold chain, using computational fluid dynamics. On the other hand, the carbon footprint of the supply chain is quantified. This pioneering method enriches life cycle assessment with more customized input data from multiphysics modeling, and at the same time assesses food quality evolution throughout the supply chain. Significant differences between ventilated carton designs (63 g CO2-eq/kg) and cold chain scenarios (11 g CO2-eq/kg) were identified, namely, 10% and 1.6% of the environmental impact of the entire supply chain, respectively. If solar electricity is used for precooling, the environmental impact was reduced by 55 g CO2-eq/kg of fruit (or 8.5%), while still providing similar fruit quality retention. By combining climate impact with the predicted quality retention, this method will help retailers to choose the most optimal package design and cold chain scenario to make their food supply chains more sustainable. This approach can be applied as well to life cycle assessment of biogas conversion of food waste, amongst others.

Suggested Citation

  • Wu, Wentao & Beretta, Claudio & Cronje, Paul & Hellweg, Stefanie & Defraeye, Thijs, 2019. "Environmental trade-offs in fresh-fruit cold chains by combining virtual cold chains with life cycle assessment," Applied Energy, Elsevier, vol. 254(C).
  • Handle: RePEc:eee:appene:v:254:y:2019:i:c:s0306261919312607
    DOI: 10.1016/j.apenergy.2019.113586
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    Cited by:

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    2. Ahmad Nasser Eddine & Steven Duret & Jean Moureh, 2022. "Interactions between Package Design, Airflow, Heat and Mass Transfer, and Logistics in Cold Chain Facilities for Horticultural Products," Energies, MDPI, vol. 15(22), pages 1-35, November.
    3. Catrini, P. & Panno, D. & Cardona, F. & Piacentino, A., 2020. "Characterization of cooling loads in the wine industry and novel seasonal indicator for reliable assessment of energy saving through retrofit of chillers," Applied Energy, Elsevier, vol. 266(C).
    4. Wang, Minxi & Wang, Yajie & Liu, Wei & Ma, Yu & Xiang, Longtao & Yang, Yunqi & Li, Xin, 2021. "How to achieve a win–win scenario between cost and customer satisfaction for cold chain logistics?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    5. Liu, Zheng & Huang, Yu-Qing & Shang, Wen-Long & Zhao, Yuan-Jun & Yang, Zao-Li & Zhao, Zhao, 2022. "Precooling energy and carbon emission reduction technology investment model in a fresh food cold chain based on a differential game," Applied Energy, Elsevier, vol. 326(C).
    6. Neeraj Kumar & Mohit Tyagi & Anish Sachdeva & Yigit Kazancoglu & Mangey Ram, 2022. "Impact analysis of COVID-19 outbreak on cold supply chains of perishable products using a SWARA based MULTIMOORA approach," Operations Management Research, Springer, vol. 15(3), pages 1290-1314, December.
    7. Hafiz Wasim Akram & Samreen Akhtar & Alam Ahmad & Imran Anwar & Mohammad Ali Bait Ali Sulaiman, 2023. "Developing a Conceptual Framework Model for Effective Perishable Food Cold-Supply-Chain Management Based on Structured Literature Review," Sustainability, MDPI, vol. 15(6), pages 1-28, March.

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