A quantitative analysis of the impact of residential cluster layout on building heating energy consumption in cold IIB regions of China

2021 ◽  
Vol 253 ◽  
pp. 111515
Author(s):  
Qingtan Deng ◽  
Guangbin Wang ◽  
Yuetao Wang ◽  
Hao Zhou ◽  
Lei Ma
Keyword(s):  
Energy Consumption ◽  
Quantitative Analysis ◽  
Heating Energy Consumption ◽  
The Impact

scholarly journals Empirical evidence on the impact of urban overheating on building cooling and heating energy consumption

iScience ◽  
2021 ◽  
pp. 102495
Author(s):  
Mi Aye Su ◽  
Jack Ngarambe ◽  
Mat Santamouris ◽  
Geun Young Yun
Keyword(s):  
Energy Consumption ◽  
Empirical Evidence ◽  
Heating Energy Consumption ◽  
Building Cooling ◽  
The Impact

scholarly journals Impact of the Mobility Restrictions in the Palestinian Territory on the Population and the Environment

2021 ◽  
Vol 13 (23) ◽  
pp. 13457
Author(s):  
Hala Aburas ◽  
Isam Shahrour
Keyword(s):  
Energy Consumption ◽  
Quantitative Analysis ◽  
Literature Review ◽  
Co2 Emissions ◽  
Average Value ◽  
Diesel Vehicles ◽  
Mobility Barriers ◽  
Gasoline Vehicles ◽  
Palestinian Territory ◽  
The Impact

This paper analyzes the mobility restrictions in the Palestinian territory on the population and the environment. The literature review shows a scientific concern for this issue, with an emphasis on describing mobility barriers and the severe conditions experienced by the population due to these barriers as well as the impact of mobility restrictions on employment opportunities. On the other hand, the literature review also shows a deficit in quantitative analysis of the effects of mobility restrictions on the environment, particularly on energy consumption and greenhouse gas emissions. This paper aims to fill this gap through a quantitative analysis by including data collection about mobility restrictions, using network analysis to determine the impact of these restrictions on inter-urban mobility, and analysis of the resulting energy consumption and CO2 emissions. The results show that mobility restrictions induce a general increase in energy consumption and CO2 emissions. The average value of this increase is about 358% for diesel vehicles and 275% for gasoline vehicles.

On the impact of user behaviour on heating energy consumption and indoor temperature in residential buildings

2021 ◽  
pp. 111657
Author(s):  
Marina Laskari ◽  
Rosa-Francesca de Masi ◽  
Stavroula Karatasou ◽  
Mat Santamouris ◽  
Margarita-Niki Assimakopoulos
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Indoor Temperature ◽  
User Behaviour ◽  
Heating Energy Consumption ◽  
The Impact

scholarly journals Impact of Smart Monitoring on Energy Savings in a Social Housing Residence

Buildings ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 21 ◽  
Author(s):  
Khadija Jnat ◽  
Isam Shahrour ◽  
Ali Zaoui
Keyword(s):  
Energy Consumption ◽  
Low Income ◽  
Social Housing ◽  
Energy Savings ◽  
High Energy ◽  
Housing Sector ◽  
The North ◽  
The Social ◽  
Heating Energy Consumption ◽  
The Impact

Energy consumption in the social housing sector constitutes a major economic, social, and environmental issue, because in some countries such as France, social housing accounts for about 19% of the housing sector. In addition, this sector suffers from ageing, which results in high energy consumption, deterioration in the occupant quality of life, and high pressure on the budget of low-income occupants. The reduction of the energy consumption in this sector becomes a “must”. This reduction can be achieved through energy renovation and innovation in both energy management and occupant involvement by using smart technology. This paper presents a contribution to this goal through the investigation of the impact of smart monitoring on energy savings. The research is based on monitoring of comfort conditions in an occupied social housing residence in the North of France and the use of building thermal numerical modeling. Results of monitoring show that the indoor temperature largely exceeds the regulations requirements and the use of a smart system together with occupant involvement could lead to significant savings in heating energy consumption. The novelty in this paper concerns the use of comfort data from occupied social housing residence, occupation conditions, and building thermal modeling to estimate energy savings. The proposed methodology could be easily implemented to estimate heating energy savings in social housing buildings that lack individual energy consumption monitoring.

scholarly journals Impact of Urban Morphology and Climate on Heating Energy Consumption of Buildings in Severe Cold Regions

2020 ◽  
Vol 17 (22) ◽  
pp. 8354
Author(s):  
Shiyi Song ◽  
Hong Leng ◽  
Han Xu ◽  
Ran Guo ◽  
Yan Zhao
Keyword(s):  
Cluster Analysis ◽  
Energy Consumption ◽  
Wind Speed ◽  
Shape Factor ◽  
Residential Buildings ◽  
Urban Morphology ◽  
Cold Regions ◽  
Building Height ◽  
Heating Energy Consumption ◽  
The Impact

This study aims to acquire a better understanding of the quantitative relationship between environmental impact factors and heating energy consumption of buildings in severe cold regions. We analyze the effects of five urban morphological parameters (building density, aspect ratio, building height, floor area ratio, and shape factor) and three climatic parameters (temperature, wind speed, and relative humidity) on the heating energy use intensity (EUI) of commercial and residential buildings in a severe cold region. We develop regression models using empirical data to quantitatively evaluate the impact of each parameter. A stepwise approach is used to ensure that all the independent variables are significant and to eliminate the effects of multicollinearity. Finally, a spatial cluster analysis is performed to identify the distribution characteristics of heating EUI. The results indicate that the building height, shape factor, temperature, and wind speed have a significant impact on heating EUI, and their effects vary with the type of building. The cluster analysis indicated that the areas in the north, east, and along the river exhibited high heating EUI. The findings obtained herein can be used to evaluate building energy efficiency for urban planners and heating companies and departments based on the surrounding environmental conditions.

scholarly journals Influence of building shape and orientation on heating demand: simulations for student dormitories in temperate climate conditions

2018 ◽  
Vol 44 ◽  
pp. 00117 ◽  
Author(s):  
Martyna Mokrzecka
Keyword(s):  
Energy Consumption ◽  
Temperate Climate ◽  
Design Decisions ◽  
Climate Conditions ◽  
Building Shape ◽  
Functional Layout ◽  
The Difference ◽  
Heating Energy Consumption ◽  
The Impact ◽  
Maximum Heating

The aim of this paper is to investigate the impact of preliminary design decisions such as building shape and orientation on its heating demand. After analysing plans of forty student dormitories located in heating dominated climate (Dfb and Cfb), eight typical plan layouts were identified and chosen for further analysis. Eight buildings were modelled using these plans and uploaded to dynamic simulation tool, Sefaira. Buildings have the same characteristics (surface, height, thermal properties, location etc.). The next step was to rotate the buildings at 45° intervals and simulate the annual heating demand for each case. The results show that the shape influences the heating energy consumption. The difference between minimum and maximum heating demand in the chosen sample was 50%. The square – shaped buildings have advantages in terms of heating energy consumption over L, U and C-shaped buildings as well as over rectangles with different shape factor. Orientation does not substantially influence the consumption in well insulated buildings. Last step of the research was to analyse the influence of functional layout on heating energy and internal comfort in a square-shaped building.

Impact of roof shading on building energy performance in warm & humid climatic places of India

2020 ◽  
pp. 50-64
Author(s):  
Kuladeep Kumar Sadevi ◽  
Avlokita Agrawal
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Energy Performance ◽  
General Assumption ◽  
Climatic Conditions ◽  
Building Envelope ◽  
Passive Cooling ◽  
Base Case ◽  
U Value ◽  
The Impact

With the rise in awareness of energy efficient buildings and adoption of mandatory energy conservation codes across the globe, significant change is being observed in the way the buildings are designed. With the launch of Energy Conservation Building Code (ECBC) in India, climate responsive designs and passive cooling techniques are being explored increasingly in building designs. Of all the building envelope components, roof surface has been identified as the most significant with respect to the heat gain due to the incident solar radiation on buildings, especially in tropical climatic conditions. Since ECBC specifies stringent U-Values for roof assembly, use of insulating materials is becoming popular. Along with insulation, the shading of the roof is also observed to be an important strategy for improving thermal performance of the building, especially in Warm and humid climatic conditions. This study intends to assess the impact of roof shading on building’s energy performance in comparison to that of exposed roof with insulation. A typical office building with specific geometry and schedules has been identified as base case model for this study. This building is simulated using energy modelling software ‘Design Builder’ with base case parameters as prescribed in ECBC. Further, the same building has been simulated parametrically adjusting the amount of roof insulation and roof shading simultaneously. The overall energy consumption and the envelope performance of the top floor are extracted for analysis. The results indicate that the roof shading is an effective passive cooling strategy for both naturally ventilated and air conditioned buildings in Warm and humid climates of India. It is also observed that a fully shaded roof outperforms the insulated roof as per ECBC prescription. Provision of shading over roof reduces the annual energy consumption of building in case of both insulated and uninsulated roofs. However, the impact is higher for uninsulated roofs (U-Value of 3.933 W/m2K), being 4.18% as compared to 0.59% for insulated roofs (U-Value of 0.33 W/m2K).While the general assumption is that roof insulation helps in reducing the energy consumption in tropical buildings, it is observed to be the other way when insulation is provided with roof shading. It is due to restricted heat loss during night.

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