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Low-Carbon Warehousing: Examining Impacts of Building and Intra-Logistics Design Options on Energy Demand and the CO 2 Emissions of Logistics Centers

Author

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  • Julia Freis

    (Institute for Materials Handling, Material Flow, Logistics, Technical University of Munich, 85748 Garching, Germany)

  • Philipp Vohlidka

    (Chair of Building Technology and Climate Responsive Design, Technical University of Munich, 80333 Munich, Germany)

  • Willibald A. Günthner

    (Institute for Materials Handling, Material Flow, Logistics, Technical University of Munich, 85748 Garching, Germany)

Abstract

Logistics centers contribute to CO 2 emissions in the building and logistics sector and therefore share a responsibility to decarbonize not only the supply chain. Synergy effects in both building and intra-logistics should be considered as suitable levers to lower energy demand and related CO 2 emissions. This research develops firs t with a systemic approach an integrated analytical model for energy calculation and reference building models for different types of logistics centers to provide basic knowledge and a methodological framework for planners and managers to aid in the selection of different intra-logistics and building design options for optimum energy efficiency. It then determines the energy demand in reference building models and performs parameter studies to examine interrelations and impacts of design options for intra-logistics, building technology, and building skin on energy demand. It combines these to optimized reference building models to show the extent to which energy and CO 2 emission savings can be reached. The results show that it is possible to significantly lower CO 2 emissions. However, there are clear differences between the different types of logistics centers and the impacts of different design options.

Suggested Citation

  • Julia Freis & Philipp Vohlidka & Willibald A. Günthner, 2016. "Low-Carbon Warehousing: Examining Impacts of Building and Intra-Logistics Design Options on Energy Demand and the CO 2 Emissions of Logistics Centers," Sustainability, MDPI, vol. 8(5), pages 1-36, May.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:5:p:448-:d:69547
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Tiziana Modica & Sara Perotti & Marco Melacini, 2021. "Green Warehousing: Exploration of Organisational Variables Fostering the Adoption of Energy-Efficient Material Handling Equipment," Sustainability, MDPI, vol. 13(23), pages 1-15, November.
    2. Atashi Khoei, Arsham & Süral, Haldun & Tural, Mustafa Kemal, 2023. "Energy minimizing order picker forklift routing problem," European Journal of Operational Research, Elsevier, vol. 307(2), pages 604-626.
    3. Tamás Bányai, 2018. "Real-Time Decision Making in First Mile and Last Mile Logistics: How Smart Scheduling Affects Energy Efficiency of Hyperconnected Supply Chain Solutions," Energies, MDPI, vol. 11(7), pages 1-25, July.
    4. Sara Perotti & Lorenzo Bruno Prataviera & Marco Melacini, 2022. "Assessing the environmental impact of logistics sites through CO2eq footprint computation," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1679-1694, May.
    5. Qiang Han & Yuyan Wang, 2018. "Decision and Coordination in a Low-Carbon E-Supply Chain Considering the Manufacturer’s Carbon Emission Reduction Behavior," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    6. Majid Eskandarpour & Pierre Dejax & Olivier Péton, 2019. "Multi-Directional Local Search for Sustainable Supply Chain Network Design," Post-Print hal-02407741, HAL.

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