Bin Weather Data for HVAC Systems Energy Calculations

Konstantinos T. Papakostas, Dimitrios Kyrou, Kyrillos Kourous, Dimitra Founda and Georgios Martinopoulos
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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

Energies, 2021, vol. 14, issue 12, 1-23

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.

Keywords: air temperature; humidity ratio; building energy analysis; bin methods; bin data (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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