SPATIAL AND TEMPORAL VARIATION IN HEATING AND COOLING DEMAND AND ITS EFFECT ON GROUND SOURCE HEAT PUMP (GSHP) SYSTEMS
In this study, ‘degree days’ were used as an indicator to estimate heating and cooling demand from the outdoor temperature variation. The calculated degree days were compared to the electricity consumption of the ground source heat pump (GSHP) system installed and monitored in the study area. From the correlation analysis, the base temperature for degree days calculation was determined.
Based upon the base temperature, heating and cooling degree days were calculated using the climatic data from 60 weather stations in Korea. The calculated values were used to analyze spatial and temporal variations in the heat demand for buildings. The weather files from Representative Concentration Pathway (RCP) Scenarios were also analyzed to predict the future energy demand according to anthropogenic greenhouse gas (GHG) emissions.
Acknowledgements
This work was supported by the research project of “Advanced Technology for Groundwater Development and Application in Riversides (Geowater+)” in “Water Resources Management Program (code 11 Technology Innovation C05)” of the MOLIT and the KAIA in Korea. This research was also supported by “BK 21plus project of the Korean government”.