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Enhancing trains envelope – heating, ventilation, and air conditioning systems: A new dynamic simulation approach for energy, economic, environmental impact and thermal comfort analyses

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  • Barone, Giovanni
  • Buonomano, Annamaria
  • Forzano, Cesare
  • Palombo, Adolfo

Abstract

Nowadays, due also to high hygrothermal comfort requirements, the energy consumption for heating/cooling of modern trains can reach 30% of the related overall electricity demand. Energy-saving of train Heating, Ventilation and Air Conditioning systems can be suitably assessed through dynamic simulation approaches. Specifically, the weather solicitation has to be dynamically accounted for by considering the actual moving train location and orientation. Through such methodology different innovative actions for energy efficiency, environmental impact reduction and comfort enhancement can be analysed by also assessing their economic feasibility. In this paper, a novel simulation tool for the complete performance analysis of trains was developed in TRNSYS environment.

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  • Barone, Giovanni & Buonomano, Annamaria & Forzano, Cesare & Palombo, Adolfo, 2020. "Enhancing trains envelope – heating, ventilation, and air conditioning systems: A new dynamic simulation approach for energy, economic, environmental impact and thermal comfort analyses," Energy, Elsevier, vol. 204(C).
    • Handle: RePEc:eee:energy:v:204:y:2020:i:c:s0360544220309403
    DOI: 10.1016/j.energy.2020.117833
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    References listed on IDEAS

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    Cited by:

    1. Wenxiao Chu & Francesco Calise & Neven Duić & Poul Alberg Østergaard & Maria Vicidomini & Qiuwang Wang, 2020. "Recent Advances in Technology, Strategy and Application of Sustainable Energy Systems," Energies, MDPI, vol. 13(19), pages 1-29, October.
    2. Barone, Giovanni & Buonomano, Annamaria & Forzano, Cesare & Giuzio, Giovanni Francesco & Palombo, Adolfo, 2022. "Energy, economic, and environmental impacts of enhanced ventilation strategies on railway coaches to reduce Covid-19 contagion risks," Energy, Elsevier, vol. 256(C).
    3. Lin Pan & Sheng Wang & Jiying Wang & Min Xiao & Zhirong Tan, 2022. "Research on Central Air Conditioning Systems and an Intelligent Prediction Model of Building Energy Load," Energies, MDPI, vol. 15(24), pages 1-31, December.
    4. Giovanni Barone & Annamaria Buonomano & Cesare Forzano & Giovanni Francesco Giuzio & Adolfo Palombo, 2021. "Improving the Efficiency of Maritime Infrastructures through a BIM-Based Building Energy Modelling Approach: A Case Study in Naples, Italy," Energies, MDPI, vol. 14(16), pages 1-24, August.
    5. Kotarela, Faidra & Kyritsis, Anastasios & Agathokleous, Rafaela & Papanikolaou, Nick, 2023. "On the exploitation of dynamic simulations for the design of buildings energy systems," Energy, Elsevier, vol. 271(C).
    6. Wolfgang Raedle & K. Ghazi Wakili & Christoph Geyer & Roman Hausammann & Urs Uehlinger, 2022. "Heat and Moisture Relevant In Situ Measurements in a Railway Passenger Vehicle Driving through the Swiss Alpine Region," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    7. Bouchair, Ammar, 2022. "The effect of the altitude on the performance of a solar chimney," Energy, Elsevier, vol. 249(C).
    8. Guzović, Zvonimir & Duic, Neven & Piacentino, Antonio & Markovska, Natasa & Mathiesen, Brian Vad & Lund, Henrik, 2022. "Recent advances in methods, policies and technologies at sustainable energy systems development," Energy, Elsevier, vol. 245(C).
    9. Barone, Giovanni & Buonomano, Annamaria & Giuzio, Giovanni Francesco & Palombo, Adolfo, 2023. "Towards zero energy infrastructure buildings: optimal design of envelope and cooling system," Energy, Elsevier, vol. 279(C).

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