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Effects on Energy Demand in an Office Building Considering Location, Orientation, Façade Design and Internal Heat Gains—A Parametric Study

Author

Listed:
  • Jakob Carlander

    (Division of Building, Energy and Environment Technology, Department of Technology and Environment, University of Gävle, 80176 Gävle, Sweden)

  • Bahram Moshfegh

    (Division of Building, Energy and Environment Technology, Department of Technology and Environment, University of Gävle, 80176 Gävle, Sweden
    Division of Energy Systems, Department of Management and Engineering, Linköping University, 58183 Linköping, Sweden)

  • Jan Akander

    (Division of Building, Energy and Environment Technology, Department of Technology and Environment, University of Gävle, 80176 Gävle, Sweden)

  • Fredrik Karlsson

    (Sweco Systems AB, Hospitalsgatan 3B, 60224 Norrköping, Sweden)

Abstract

12.9% of the energy use in the EU originates from the commercial and public sector. It has therefore become a priority to optimize energy efficiency in these buildings. The purpose of this study has been to explore how energy demand in a new office building is affected by different internal heat gains, location, orientation, and façade design, and also to see how different indicators can change perspective on energy efficiency. The study was performed with simulations in IDA-ICE with different façade design and changes in internal heat gains (IHG), orientation, and location. Energy demand was then compared to two different indicators. Using a façade designed to lower solar heat gains had little effect on energy demand in the north of Sweden, but slightly more effect further south. The amount of internal heat gains had significant effect on energy demand. Making deeper studies on design and internal heat gains should therefore be prioritized in the beginning of new building projects so the most energy-efficient design can be chosen. When the indicator kWh/m 2 was used, the cases with low internal heat gains were perceived as the most energy efficient, while when kWh/(m 2 × hpers) (hpers = hours of use) was used, the cases with high occupancy and low electricity use were considered to be the most energy efficient. Therefore, revising the standardized indicator is of great importance.

Suggested Citation

  • Jakob Carlander & Bahram Moshfegh & Jan Akander & Fredrik Karlsson, 2020. "Effects on Energy Demand in an Office Building Considering Location, Orientation, Façade Design and Internal Heat Gains—A Parametric Study," Energies, MDPI, vol. 13(23), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6170-:d:450272
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    References listed on IDEAS

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    1. Aapo Huovila & Pekka Tuominen & Miimu Airaksinen, 2017. "Effects of Building Occupancy on Indicators of Energy Efficiency," Energies, MDPI, vol. 10(5), pages 1-19, May.
    2. Menezes, Anna Carolina & Cripps, Andrew & Bouchlaghem, Dino & Buswell, Richard, 2012. "Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap," Applied Energy, Elsevier, vol. 97(C), pages 355-364.
    3. Antonio Paone & Jean-Philippe Bacher, 2018. "The Impact of Building Occupant Behavior on Energy Efficiency and Methods to Influence It: A Review of the State of the Art," Energies, MDPI, vol. 11(4), pages 1-19, April.
    4. Jessika Steen Englund & Mathias Cehlin & Jan Akander & Bahram Moshfegh, 2020. "Measured and Simulated Energy Use in a Secondary School Building in Sweden—A Case Study of Validation, Airing, and Occupancy Behaviour," Energies, MDPI, vol. 13(9), pages 1-22, May.
    5. Jakob Carlander & Kristina Trygg & Bahram Moshfegh, 2019. "Integration of Measurements and Time Diaries as Complementary Measures to Improve Resolution of BES," Energies, MDPI, vol. 12(11), pages 1-29, May.
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