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A Comprehensive Energy Model for an Optimal Design of a Hybrid Refrigerated Van

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  • Angelo Maiorino

    (Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy)

  • Adrián Mota-Babiloni

    (ISTENER Research Group, Department of Mechanical Engineering and Construction, Campus de Riu Sec s/n, Universitat Jaume I, E-12071 Castelló de la Plana, Spain)

  • Fabio Petruzziello

    (Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy)

  • Manuel Gesù Del Duca

    (Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy)

  • Andrea Ariano

    (Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy)

  • Ciro Aprea

    (Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy)

Abstract

The path towards decarbonization requires a progressive adaptation of all refrigeration systems, but only stationary ones have been intensely studied to improve their environmental performance. However, refrigerated transport is vital in the cold chain and must be considered in the green transition. In this paper, we propose a model for a hybrid refrigerated van that includes photovoltaic panels and electric batteries to decrease total greenhouse gas emissions from the engine. Thermal, electrical, and battery sub-models are considered and integrated into the comprehensive hybrid solar-powered refrigerated van model. Different technologies are compared, including lithium and lead-acid batteries and three different types of photovoltaic panels. The model was validated regarding van fuel consumption, showing a 4% deviation. Single and multiple delivery scenarios are considered to assess the energy, economic, and environmental benefits. Monthly CO 2 ,e emissions could be reduced by 20% compared to a standard refrigerated van. Despite the environmental benefits provided by this sustainable solution, the payback period is still too long (above 20 years) because of the necessary investment to adapt the vehicle and considering fuel and electricity prices currently.

Suggested Citation

  • Angelo Maiorino & Adrián Mota-Babiloni & Fabio Petruzziello & Manuel Gesù Del Duca & Andrea Ariano & Ciro Aprea, 2022. "A Comprehensive Energy Model for an Optimal Design of a Hybrid Refrigerated Van," Energies, MDPI, vol. 15(13), pages 1-23, July.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4864-:d:854426
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    References listed on IDEAS

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    1. Reda, Francesco & Paiho, Satu & Pasonen, Riku & Helm, Martin & Menhart, Florian & Schex, Richard & Laitinen, Ari, 2020. "Comparison of solar assisted heat pump solutions for office building applications in Northern climate," Renewable Energy, Elsevier, vol. 147(P1), pages 1392-1417.
    2. Angelo Maiorino & Fabio Petruzziello & Ciro Aprea, 2021. "Refrigerated Transport: State of the Art, Technical Issues, Innovations and Challenges for Sustainability," Energies, MDPI, vol. 14(21), pages 1-55, November.
    3. Franceschetti, Anna & Honhon, Dorothée & Van Woensel, Tom & Bektaş, Tolga & Laporte, Gilbert, 2013. "The time-dependent pollution-routing problem," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 265-293.
    4. Barth, Matthew & Younglove, Theodore & Scora, George, 2005. "Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt67f0v3zf, Institute of Transportation Studies, UC Berkeley.
    5. Sovacool, Benjamin K. & Bazilian, Morgan & Griffiths, Steve & Kim, Jinsoo & Foley, Aoife & Rooney, David, 2021. "Decarbonizing the food and beverages industry: A critical and systematic review of developments, sociotechnical systems and policy options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    6. Antonella Meneghetti & Sara Ceschia, 2020. "Energy-efficient frozen food transports: the Refrigerated Routing Problem," International Journal of Production Research, Taylor & Francis Journals, vol. 58(14), pages 4164-4181, July.
    7. Su, Peng & Ji, Jie & Cai, Jingyong & Gao, Yuhe & Han, Kedong, 2020. "Dynamic simulation and experimental study of a variable speed photovoltaic DC refrigerator," Renewable Energy, Elsevier, vol. 152(C), pages 155-164.
    8. Ming-Hui Chang & Han-Pang Huang & Shu-Wei Chang, 2013. "A New State of Charge Estimation Method for LiFePO 4 Battery Packs Used in Robots," Energies, MDPI, vol. 6(4), pages 1-24, April.
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    Cited by:

    1. Maximilian Lösch & Markus Fallmann & Agnes Poks & Martin Kozek, 2023. "Simulation-Based Sizing of a Secondary Loop Cooling System for a Refrigerated Vehicle," Energies, MDPI, vol. 16(18), pages 1-23, September.

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