ORIGINAL RESEARCH
How Climate Change Impacts Energy Load
Demand for Commercial and Residential Buildings
in a Large City in Northern China
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1
Tianjin Climate Center, Tianjin, China
2
School of Environmental Science and Engineering, Tianjin University, Tianjin, China
Submission date: 2017-08-09
Final revision date: 2017-10-26
Acceptance date: 2017-10-29
Online publication date: 2018-04-15
Publication date: 2018-05-30
Corresponding author
Mingcai Li
Tianjin Climate Center, No. 100 Qixiangtai Road, Hexi District, Tianjin, 300074, P.R. China, 300074 Tianjin, China
Pol. J. Environ. Stud. 2018;27(5):2133-2141
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ABSTRACT
Exploring building energy demands under the conditions of climate change can provide a basis for
promoting building energy efficiency. The heating and cooling loads of commercial and residential
buildings with different energy-saving standards from 1961-2009 in a large city in northern China were
simulated and their responses to climate change and variability were analyzed. The results showed that
the heating load for commercial buildings significantly decreased from 1961 to 2009 (P<0.01), whereas
the cooling load weakly but not significantly increased over these 49 years (P>0.05). This may indicate
that continuous rising temperatures in the future may apparently decrease heating load, but not largely
increase energy load for cooling. The heating loads in all types of residential buildings showed a large and
significant decrease from 1961 to 2009 (P < 0.01). However, decreasing rate gradually decreased from the
first- to the third-stage energy-saving buildings, indicating decreasing sensitivity to climate change with
enhancement of energy-saving standards. The variations of heating loads are dominantly controlled by the
mean air temperature, which can explain up to 90% of the heating load. The climate change influence on
the cooling load of a commercial building is dependent on month. Cooling load is dominantly related to
air temperature in June and September, whereas it relates to the combination of humidity and temperature
in July and August. These results may indicate that improvement of energy efficiency for building cooling
should be considered by the combined effects of humidity and temperature rather than a single temperature.