Limits...
Climate impacts on extreme energy consumption of different types of buildings.

Li M, Shi J, Guo J, Cao J, Niu J, Xiong M - PLoS ONE (2015)

Bottom Line: The results showed that days of extreme heating consumption showed apparent decrease during the recent 30 years for residential and large venue buildings, whereas days of extreme cooling consumption increased in large venue building.No significant variations were found for the days of extreme energy consumption for commercial building, although a decreasing trend in extreme heating energy consumption.The impacts of climate on hourly extreme heating energy consumption has a 1-3 hour delay in all three types of buildings, but no delay was found in the impacts of climate on hourly extreme cooling energy consumption for the selected buildings.

View Article: PubMed Central - PubMed

Affiliation: Tianjin Climate Center, Tianjin, 300074, China.

ABSTRACT
Exploring changes of building energy consumption and its relationships with climate can provide basis for energy-saving and carbon emission reduction. Heating and cooling energy consumption of different types of buildings during 1981-2010 in Tianjin city, was simulated by using TRNSYS software. Daily or hourly extreme energy consumption was determined by percentile methods, and the climate impact on extreme energy consumption was analyzed. The results showed that days of extreme heating consumption showed apparent decrease during the recent 30 years for residential and large venue buildings, whereas days of extreme cooling consumption increased in large venue building. No significant variations were found for the days of extreme energy consumption for commercial building, although a decreasing trend in extreme heating energy consumption. Daily extreme energy consumption for large venue building had no relationship with climate parameters, whereas extreme energy consumption for commercial and residential buildings was related to various climate parameters. Further multiple regression analysis suggested heating energy consumption for commercial building was affected by maximum temperature, dry bulb temperature, solar radiation and minimum temperature, which together can explain 71.5 % of the variation of the daily extreme heating energy consumption. The daily extreme cooling energy consumption for commercial building was only related to the wet bulb temperature (R2= 0.382). The daily extreme heating energy consumption for residential building was affected by 4 climate parameters, but the dry bulb temperature had the main impact. The impacts of climate on hourly extreme heating energy consumption has a 1-3 hour delay in all three types of buildings, but no delay was found in the impacts of climate on hourly extreme cooling energy consumption for the selected buildings.

No MeSH data available.


Related in: MedlinePlus

Comparisons between hourly measured and simulated cooling loads during the period from 26 July—7 August in 2010 (a) and the Bland-Altman plot of the measured and simulated loads (b).The upper and lower solid lines in Fig 2b represent the limits of agreement, and the middle horizontal dashed line shows the mean differences.
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pone.0124413.g002: Comparisons between hourly measured and simulated cooling loads during the period from 26 July—7 August in 2010 (a) and the Bland-Altman plot of the measured and simulated loads (b).The upper and lower solid lines in Fig 2b represent the limits of agreement, and the middle horizontal dashed line shows the mean differences.

Mentions: To guarantee reliability of the simulated data, energy consumption of the three types of buildings was monitored during the heating period in 2010–2011 and the cooling period in 2010. The cooling energy consumption of commercial building was taken as an example to show the comparison between the measured and simulated energy consumption. Fig 2 showed that the measured and simulated energy consumption had very similar hourly pattern and very small difference. Bland-Altman analyses revealed the good agreement between the measured and simulated energy consumption because the differences between the measured and simulated data is in a small range and only few points are outside the 95% limits of the agreement. This indicates the energy consumption simulation could be efficiently reflected the real energy consumption. Similar comparison results were found for other buildings.


Climate impacts on extreme energy consumption of different types of buildings.

Li M, Shi J, Guo J, Cao J, Niu J, Xiong M - PLoS ONE (2015)

Comparisons between hourly measured and simulated cooling loads during the period from 26 July—7 August in 2010 (a) and the Bland-Altman plot of the measured and simulated loads (b).The upper and lower solid lines in Fig 2b represent the limits of agreement, and the middle horizontal dashed line shows the mean differences.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4414602&req=5

pone.0124413.g002: Comparisons between hourly measured and simulated cooling loads during the period from 26 July—7 August in 2010 (a) and the Bland-Altman plot of the measured and simulated loads (b).The upper and lower solid lines in Fig 2b represent the limits of agreement, and the middle horizontal dashed line shows the mean differences.
Mentions: To guarantee reliability of the simulated data, energy consumption of the three types of buildings was monitored during the heating period in 2010–2011 and the cooling period in 2010. The cooling energy consumption of commercial building was taken as an example to show the comparison between the measured and simulated energy consumption. Fig 2 showed that the measured and simulated energy consumption had very similar hourly pattern and very small difference. Bland-Altman analyses revealed the good agreement between the measured and simulated energy consumption because the differences between the measured and simulated data is in a small range and only few points are outside the 95% limits of the agreement. This indicates the energy consumption simulation could be efficiently reflected the real energy consumption. Similar comparison results were found for other buildings.

Bottom Line: The results showed that days of extreme heating consumption showed apparent decrease during the recent 30 years for residential and large venue buildings, whereas days of extreme cooling consumption increased in large venue building.No significant variations were found for the days of extreme energy consumption for commercial building, although a decreasing trend in extreme heating energy consumption.The impacts of climate on hourly extreme heating energy consumption has a 1-3 hour delay in all three types of buildings, but no delay was found in the impacts of climate on hourly extreme cooling energy consumption for the selected buildings.

View Article: PubMed Central - PubMed

Affiliation: Tianjin Climate Center, Tianjin, 300074, China.

ABSTRACT
Exploring changes of building energy consumption and its relationships with climate can provide basis for energy-saving and carbon emission reduction. Heating and cooling energy consumption of different types of buildings during 1981-2010 in Tianjin city, was simulated by using TRNSYS software. Daily or hourly extreme energy consumption was determined by percentile methods, and the climate impact on extreme energy consumption was analyzed. The results showed that days of extreme heating consumption showed apparent decrease during the recent 30 years for residential and large venue buildings, whereas days of extreme cooling consumption increased in large venue building. No significant variations were found for the days of extreme energy consumption for commercial building, although a decreasing trend in extreme heating energy consumption. Daily extreme energy consumption for large venue building had no relationship with climate parameters, whereas extreme energy consumption for commercial and residential buildings was related to various climate parameters. Further multiple regression analysis suggested heating energy consumption for commercial building was affected by maximum temperature, dry bulb temperature, solar radiation and minimum temperature, which together can explain 71.5 % of the variation of the daily extreme heating energy consumption. The daily extreme cooling energy consumption for commercial building was only related to the wet bulb temperature (R2= 0.382). The daily extreme heating energy consumption for residential building was affected by 4 climate parameters, but the dry bulb temperature had the main impact. The impacts of climate on hourly extreme heating energy consumption has a 1-3 hour delay in all three types of buildings, but no delay was found in the impacts of climate on hourly extreme cooling energy consumption for the selected buildings.

No MeSH data available.


Related in: MedlinePlus