Abstract:

Variations of the heating, cooling energy consumptions for office buildings in the five cities of North China were analyzed under the background of climate warming based on the meteorological data during 1961-2017 and records of heating, cooling energy consumptions.In addition, the dominant meteorological factors affecting buildings' heating and cooling energy consumptions were determined using stepwise multiple linear regression between the simulated energy consumptions and meteorological factors.The results show that heating and total energy consumptions in all the selected five cities significantly decrease during 1961-2017, with the decreasing rates between 0.05 kWh·m^-2·(10 a)^-1 (Shijiazhuang) to 0.13 kWh·m^-2·(10 a)^-1 (Huhehot).By contrast, there are different variations tendencies in cooling energy consumptions in the five cities, with a significant increase in Huhehot (increasing 0.04 kWh·m^-2 per decade) and no obvious variations in other cities.There are obvious decreasing tendencies in the total energy consumptions for all the cities, with decreasing rate of 0.05 kWh·m^-2·(10 a)^-1 (Taiyuan) - 0.10 kWh·m^-2·(10 a)^-1 (Huhehot).The stepwise multiple linear regression indicates that temperature is the dominant climatic factor affecting building heating energy consumptions in all the 5 cities.The increase in temperature during the past decades leads to a decrease in heating energy consumptions.By contrast, cooling energy consumptions are affected by temperature and solar radiation.Cooling energy consumption significantly increases in Huhehot due to the rising of temperature and solar radiation.No obvious variation trends of cooling energy consumptions in other 4 cities are dominant as a result of the offset of temperature (increasing) and solar radiation (decreasing).In general, under the background of climate warming, heating energy consumptions obviously decrease and no apparent variations are found in cooling energy consumptions in North China, which is beneficial for improving building energy efficiency.

Key words: Climate change, Office building, Heating load, Cooling load