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Bin Weather Data for HVAC Systems Energy Calculations

Author

Listed:
  • Konstantinos T. Papakostas

    (Department of Mechanical Engineering, Faculty of Engineering, Aristotle University of Thessaloniki, EL 54124 Thessaloniki, Greece)

  • Dimitrios Kyrou

    (Department of Mechanical Engineering, Faculty of Engineering, Aristotle University of Thessaloniki, EL 54124 Thessaloniki, Greece)

  • Kyrillos Kourous

    (Department of Mechanical Engineering, Faculty of Engineering, Aristotle University of Thessaloniki, EL 54124 Thessaloniki, Greece)

  • Dimitra Founda

    (Institute for Environmental Research & Sustainable Development, National Observatory of Athens, EL 15236 Athens, Greece)

  • Georgios Martinopoulos

    (School of Science and Technology, International Hellenic University, EL 57001 Thessaloniki, Greece)

Abstract

The increase in global air temperature is well documented, as during the last several years each decade has been consecutively warmer than the preceding. As climatic conditions affect the energy performance of buildings, the changes in outdoor air temperature and humidity will inevitably lead to significant alterations in energy consumption and costs for the heating, ventilating and air conditioning (HVAC) of buildings. The availability and quality of climatic data play an important role in the accuracy of energy analysis results. In this study, the hourly temperature and relative humidity of outdoor air measurements, for a period of three decades (1983–2012), recorded at the climatic station of the National Observatory of Athens were processed, and an up-to-date set of specific data for the application of bin methods was produced and presented. The data were then used to calculate changes in the energy demands in a typical office building throughout the specified period. Results showed a progressive reduction in the low and increase in the high temperature intervals, leading to an increase in the building’s annual energy requirements for air conditioning of up to 14.5% from the first to the third decade, with decrease in the energy demands for heating and increase in the energy demands for cooling.

Suggested Citation

  • Konstantinos T. Papakostas & Dimitrios Kyrou & Kyrillos Kourous & Dimitra Founda & Georgios Martinopoulos, 2021. "Bin Weather Data for HVAC Systems Energy Calculations," Energies, MDPI, vol. 14(12), pages 1-23, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3501-:d:573994
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    References listed on IDEAS

    as
    1. Papakostas, K. & Bentoulis, A. & Bakas, V. & Kyriakis, N., 2007. "Estimation of ambient temperature bin data from monthly average temperatures and solar clearness index. Validation of the methodology in two Greek cities," Renewable Energy, Elsevier, vol. 32(6), pages 991-1005.
    2. Pérez-Andreu, Víctor & Aparicio-Fernández, Carolina & Martínez-Ibernón, Ana & Vivancos, José-Luis, 2018. "Impact of climate change on heating and cooling energy demand in a residential building in a Mediterranean climate," Energy, Elsevier, vol. 165(PA), pages 63-74.
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    4. Georgios Martinopoulos & Anna Serasidou & Panagiota Antoniadou & Agis M. Papadopoulos, 2018. "Building Integrated Shading and Building Applied Photovoltaic System Assessment in the Energy Performance and Thermal Comfort of Office Buildings," Sustainability, MDPI, vol. 10(12), pages 1-24, December.
    5. Papakostas, K.T, 1999. "Technical note Bin weather data of Athens, Greece," Renewable Energy, Elsevier, vol. 17(2), pages 265-275.
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