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A study on building performance analysis for energy retrofit of existing industrial facilities

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  • Gourlis, Georgios
  • Kovacic, Iva

Abstract

Due to the strengthening of regulations and codes on building energy performance, as well as with the application of national legislations regarding energy management and efficiency, existing industrial facilities are using thermal refurbishment and renovation as impetus for increasing their overall energy efficiency. This paper analyzes a building envelope refurbishment for a case study of an existing historical industrial facility. Critical parameters affecting energy performance of industrial buildings were identified by reviewing relevant literate. Two retrofit scenarios were developed and dynamic thermal simulation using EnergyPlus was implemented to evaluate the potential for improvement. Thereby the impact of interior loads was considered, determined by measurements conducted on factory machines, occupancy and lighting operation patterns. However, information regarding constructions of the existing facility and installed technical building services is limited. There is also uncertainty in the quantification of natural ventilation air change rate for such buildings. To overcome these limitations a study of various material databases was carried out, in order to assess data for building envelope composition. Input values for missing data were provided based on literature, allowing a fair comparison between refurbishment alternatives. Simulation results showed that the heating demand of the facility could be reduced up to 52%, indicating a significant potential for energy savings. Beyond that, thermal performance against summer overheating also depicted considerable improvements as regards to hours exceeding thermal comfort levels.

Suggested Citation

  • Gourlis, Georgios & Kovacic, Iva, 2016. "A study on building performance analysis for energy retrofit of existing industrial facilities," Applied Energy, Elsevier, vol. 184(C), pages 1389-1399.
  • Handle: RePEc:eee:appene:v:184:y:2016:i:c:p:1389-1399
    DOI: 10.1016/j.apenergy.2016.03.104
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    4. 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).
    5. Habibi, Shahryar & Obonyo, Esther Adhiambo & Memari, Ali M., 2020. "Design and development of energy efficient re-roofing solutions," Renewable Energy, Elsevier, vol. 151(C), pages 1209-1219.
    6. Gourlis, Georgios & Kovacic, Iva, 2017. "Passive measures for preventing summer overheating in industrial buildings under consideration of varying manufacturing process loads," Energy, Elsevier, vol. 137(C), pages 1175-1185.
    7. Sanhudo, Luís & Ramos, Nuno M.M. & Poças Martins, João & Almeida, Ricardo M.S.F. & Barreira, Eva & Simões, M. Lurdes & Cardoso, Vítor, 2018. "Building information modeling for energy retrofitting – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 249-260.
    8. Man Ying (Annie) Ho & Joseph H. K. Lai & Huiying (Cynthia) Hou & Dadi Zhang, 2021. "Key Performance Indicators for Evaluation of Commercial Building Retrofits: Shortlisting via an Industry Survey," Energies, MDPI, vol. 14(21), pages 1-30, November.
    9. Marco Noro & Simone Mancin & Filippo Busato & Francesco Cerboni, 2023. "Innovative Hybrid Condensing Radiant System for Industrial Heating: An Energy and Economic Analysis," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    10. Garwood, Tom Lloyd & Hughes, Ben Richard & O'Connor, Dominic & Calautit, John K. & Oates, Michael R. & Hodgson, Thomas, 2018. "A framework for producing gbXML building geometry from Point Clouds for accurate and efficient Building Energy Modelling," Applied Energy, Elsevier, vol. 224(C), pages 527-537.
    11. Stamatis Chrysikopoulos & Panos Chountalas, 2018. "Integrating energy and environmental management systems to enable facilities to qualify for carbon funds," Energy & Environment, , vol. 29(6), pages 938-956, September.
    12. Faustino Patiño-Cambeiro & Guillermo Bastos & Julia Armesto & Faustino Patiño-Barbeito, 2017. "Multidisciplinary Energy Assessment of Tertiary Buildings: Automated Geomatic Inspection, Building Information Modeling Reconstruction and Building Performance Simulation," Energies, MDPI, vol. 10(7), pages 1-17, July.
    13. de Rubeis, Tullio & Nardi, Iole & Ambrosini, Dario & Paoletti, Domenica, 2018. "Is a self-sufficient building energy efficient? Lesson learned from a case study in Mediterranean climate," Applied Energy, Elsevier, vol. 218(C), pages 131-145.
    14. Luo, Yongqiang & Zhang, Ling & Wu, Jing & Liu, Zhongbing & Wu, Zhenghong & He, Xihua, 2017. "Dynamical simulation of building integrated photovoltaic thermoelectric wall system: Balancing calculation speed and accuracy," Applied Energy, Elsevier, vol. 204(C), pages 887-897.

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