scholarly journals Prediction of Residential Building Energy Consumption in Jilin Province, China

2006 ◽  
Vol 5 (2) ◽  
pp. 407-412 ◽  
Author(s):  
Xindong Wei ◽  
Ji Xuan ◽  
Jun Yin ◽  
Weijun Gao ◽  
Bill Batty ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Residential Building ◽  
Building Energy ◽  
Jilin Province ◽  
Building Energy Consumption

scholarly journals Long-Term Prediction of Weather for Analysis of Residential Building Energy Consumption in Australia

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4805
Author(s):  
Shu Chen ◽  
Zhengen Ren ◽  
Zhi Tang ◽  
Xianrong Zhuo
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Residential Building ◽  
Building Energy ◽  
Space Heating ◽  
Building Energy Consumption ◽  
Climate Zones ◽  
Impact Of Climate Change ◽  
Heating And Cooling ◽  
The Impact

Globally, buildings account for nearly 40% of the total primary energy consumption and are responsible for 20% of the total greenhouse gas emissions. Energy consumption in buildings is increasing with the increasing world population and improving standards of living. Current global warming conditions will inevitably impact building energy consumption. To address this issue, this report conducted a comprehensive study of the impact of climate change on residential building energy consumption. Using the methodology of morphing, the weather files were constructed based on the typical meteorological year (TMY) data and predicted data generated from eight typical global climate models (GCMs) for three representative concentration pathways (RCP2.6, RCP4.5, and RCP8.5) from 2020 to 2100. It was found that the most severe situation would occur in scenario RCP8.5, where the increase in temperature will reach 4.5 °C in eastern Australia from 2080–2099, which is 1 °C higher than that in other climate zones. With the construction of predicted weather files in 83 climate zones all across Australia, ten climate zones (cities)—ranging from heating-dominated to cooling-dominated regions—were selected as representative climate zones to illustrate the impact of climate change on heating and cooling energy consumption. The quantitative change in the energy requirements for space heating and cooling, along with the star rating, was simulated for two representative detached houses using the AccuRate software. It could be concluded that the RCP scenarios significantly affect the energy loads, which is consistent with changes in the ambient temperature. The heating load decreases for all climate zones, while the cooling load increases. Most regions in Australia will increase their energy consumption due to rising temperatures; however, the energy requirements of Adelaide and Perth would not change significantly, where the space heating and cooling loads are balanced due to decreasing heating and increasing cooling costs in most scenarios. The energy load in bigger houses will change more than that in smaller houses. Furthermore, Brisbane is the most sensitive region in terms of relative space energy changes, and Townsville appears to be the most sensitive area in terms of star rating change in this study. The impact of climate change on space building energy consumption in different climate zones should be considered in future design strategies due to the decades-long lifespans of Australian residential houses.

DWELLING FACTORS EFFECT ON RESIDENTIAL BUILDING ENERGY CONSUMPTION

2015 ◽  
Vol 77 (15) ◽  
Author(s):  
Jibrin Hassan Suleiman ◽  
Saeed Balubaid ◽  
Nasiru Mohammed Zakari ◽  
Egba Ernest Ituma
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Residential Building ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Refrigeration System ◽  
Rapid Urbanization ◽  
Air Conditioning System ◽  
Household Heads ◽  
Self Administered Questionnaire

Most of the developing countries experience rapid urbanization and population growth, Malaysia is among these countries as the population and the energy consumption in the country tremendously increased over the last few decades.  A major challenge is the rate of energy consumption in the country is tremendous going higher which is a threat as the country was listed 26th out of the 30 top greenhouse emitters in the world.  A survey was conducted on the ways occupants’ consumes energy in their residential buildings in relation to dwelling factors in the State of Johor Malaysia. Energy consumption of the residential owners was assessed using drop and pick self-administered questionnaire. The questionnaires were answered by each household heads. Air conditioning system, refrigeration system, kitchen appliances, bathroom and laundry appliances, lighting appliances as well as other home appliances was considered in the survey. Correlation analysis was used using Statistical Package for Social Sciences (SPSS) to analyze the results. The finding shows a positive relationship between dwelling factors.  r ≥ 0.3 and above between dwelling factors and residential building energy consumption. 

scholarly journals Estimating residential building energy consumption using overhead imagery

2020 ◽  
Vol 280 ◽  
pp. 116018
Author(s):  
Artem Streltsov ◽  
Jordan M. Malof ◽  
Bohao Huang ◽  
Kyle Bradbury
Keyword(s):  
Energy Consumption ◽  
Residential Building ◽  
Building Energy ◽  
Building Energy Consumption

Sensitivity Analysis of Influence Factors on Residential Building Energy Consumption in Hot Summer and Cold Winter Zone

2011 ◽  
Vol 243-249 ◽  
pp. 6942-6946
Author(s):  
Na Li ◽  
Yan Qian Zhao ◽  
Qi Liu
Keyword(s):  
Energy Consumption ◽  
Influence Factors ◽  
Residential Building ◽  
Building Energy ◽  
Building Envelope ◽  
Building Energy Consumption ◽  
Cold Winter ◽  
Building Orientation ◽  
Simulating Calculation ◽  
Calculation Results

Taking residential building in hot summer and cold winter zone as research subject, studies the influence factors and sensitivity of building consumption. Choosing three factors of building orientation, building envelope and window-wall ratio for analysis, compares the calculation results by using DeST-h software with energy consumption simulating calculation. The results show that the effect of building envelope heat transfer coefficient on building energy consumption is the greatest. So that is the most sensitive factor, which is followed by building orientation, the effect of window-wall ratio is relatively small.

scholarly journals Analysis of a Residential Building Energy Consumption Demand Model

Energies ◽  
2011 ◽  
Vol 4 (3) ◽  
pp. 475-487 ◽  
Author(s):  
Wei Yu ◽  
Baizhan Li ◽  
Yarong Lei ◽  
Meng Liu
Keyword(s):  
Energy Consumption ◽  
Residential Building ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Demand Model ◽  
Consumption Demand
Sign in / Sign up

Export Citation Format

Share Document