Prediction of heating energy consumption with operation pattern variables for non-residential buildings using LSTM networks

2021 ◽  
pp. 111647
Author(s):  
Jihoon Jang ◽  
Jinmog Han ◽  
Seung-Bok Leigh
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Operation Pattern ◽  
Heating Energy Consumption

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 Effects of the geometry of residential buildings with a sunspace on their energy performance

2019 ◽  
Vol 17 (1) ◽  
pp. 105-118
Author(s):  
Ana Vukadinovic ◽  
Jasmina Radosavljevic ◽  
Amelija Djordjevic ◽  
Nemanja Petrovic
Keyword(s):  
Energy Consumption ◽  
Aspect Ratio ◽  
Shape Factor ◽  
Residential Buildings ◽  
Dynamic Modelling ◽  
Building Design ◽  
Energy Performance ◽  
Total Consumption ◽  
Heating And Cooling ◽  
Heating Energy Consumption

The increase in energy consumption in building design and construction and the issues related to environmental protection have steered many current researchers toward examining the ways to reduce total CO2 emissions, which resulted in the development of various measures to increase energy efficiency. One measure for more cost-efficient and rational use of energy resources in individual residential buildings is the application of passive solar systems with a sunspace. This paper presents the effects of the shape factor of a residential building with a passive sunspace on the total consumption of heating and cooling energy. The total amount of energy required for building heating and cooling was calculated by means of dynamic modelling using EnergyPlus software. The simulations were run according to the meteorological parameters for the city of Nis. For simulation purposes, models of residential buildings with a passive sunspace and square- and rectangle-shaped floors were designed. The variations between the models include different building shape factor, floor geometry, surface area of the southern fa?ade, and glazing percentage, i.e. window-to-wall ratio (WWR). Examination of the models with WWR=20%, WWR=40%, and WWR=60% revealed that the elongated shape of a building with the aspect ratio of 2.25:1, with the longer side of the fa?ade facing south, is the most favourable in terms of heating energy consumption. For the same WWRs, the elongated shape of a building with the aspect ratio of 1.56:1, with the longer side of the fa?ade facing south, is the most favourable in terms of cooling energy consumption. As WWR increases, so does the amount of energy required to cool the building. The biggest increase in heating energy consumption was observed in buildings with the aspect ratio 1:2.25, with the shorter side facing south.

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 Achieving an 80% reduction in Ontario residential heating energy consumption by 2030: a tiered framework and preliminary implementation strategy

2021 ◽  
Author(s):  
Amanda Jacqueline Yip
Keyword(s):  
Energy Consumption ◽  
Perceived Risk ◽  
Implementation Strategy ◽  
Energy Savings ◽  
Residential Buildings ◽  
Climate Change Impacts ◽  
Energy Reduction ◽  
Energy Prices ◽  
Residential Heating ◽  
Heating Energy Consumption

The increasing prevalence of climate change impacts and rising energy prices has highlighted the need to achieve deep energy savings now. To accomplish this, stricter prescriptive performance requirements for residential buildings are needed. The intent of this work is to develop a framework and policy implementation strategy to achieve an 80% reduction in Ontario residential heating energy consumption by 2030. A tiered framework of consumption targets was developed using OBC 2012 SB-12 requirements as a baseline and sample compliance packages created for each tier. Construction costs for the baseline and each tier compliance package were estimated and simple payback periods determined. Impacts of fuel escalation rates on payback periods were also considered. Significant cost premiums were found between the baseline consumption and overall 80% heating energy reduction target. Lack of experience and perceived risk were found to be the greatest barriers to achieving the overall energy reduction target. A preliminary strategy and supporting policy tools was developed, taking into consideration the observed barriers to adoption.

scholarly journals Research on Energy-Saving Design of Rural Building Wall in Qinba Mountains Based on Uniform Radiation Field

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Qin Zhao ◽  
Xiaona Fan ◽  
Qing Wang ◽  
Guochen Sang ◽  
Yiyun Zhu
Keyword(s):  
Heat Transfer ◽  
Heat Transfer Coefficient ◽  
Energy Consumption ◽  
Transfer Coefficient ◽  
Energy Saving ◽  
Radiation Field ◽  
Thermal Environment ◽  
Residential Buildings ◽  
South Wall ◽  
Heating Energy Consumption

How to create a healthy and comfortable indoor environment without causing a substantial increase in energy consumption has become a strategic problem that the development of all countries must face and solve. According to the climatic conditions of Qinba Mountains in China, combined with the characteristics of local rural residential buildings and residents’ living habits, the field survey and theoretical analysis were used to study the thermal environment status and the heating energy consumption condition of local rural residential buildings. The thermal design method of walls for the local rural energy-saving buildings based on the indoor uniform radiation field was explored by using the outdoor comprehensive temperature function expressed by the fourth-order harmonic Fourier series as the boundary condition of the wall thermal analysis. ANSYS CFX was adopted to study the suitability of the energy-saving wall structure designed by the above method. The results show that the indoor thermal environment of local rural residential buildings in winter is not ideal and the heating energy consumption is high, but this area has the geographical advantage to develop solar energy buildings. It is proposed that the indoor thermal comfort temperature of local rural residential buildings in winter should not be lower than 14°C. When the internal surface temperature of the external walls in different orientations are equally based on the design principle of uniform radiation field, the heat transfer coefficient of the east wall, the west wall, and the north wall of the local rural residential buildings is 1.13 times, 1.06 times, and 1.14 times of the south wall heat transfer coefficient, respectively. The energy-saving structural wall with KPI porous brick as the main material and the south wall heat transfer coefficient of 0.9 W/(m2·K) is the most suitable energy-saving wall for local rural residential buildings.

scholarly journals Heating Energy Consumption and Environmental Implications Due to the Change in Daily Habits in Residential Buildings Derived from COVID-19 Crisis: The Case of Barcelona, Spain

2021 ◽  
Vol 13 (2) ◽  
pp. 918
Author(s):  
Marta Monzón-Chavarrías ◽  
Silvia Guillén-Lambea ◽  
Sergio García-Pérez ◽  
Antonio Luis Montealegre-Gracia ◽  
Jorge Sierra-Pérez
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Energy Demand ◽  
Geographical Information Systems ◽  
Housing Stock ◽  
Residential Buildings ◽  
Carbon Dioxide Emission ◽  
Geographical Information ◽  
Environmental Implications ◽  
Heating Energy Consumption

The COVID-19 crisis has changed daily habits and the time that people spend at home. It is expected that this change may have environmental implications because of buildings’ heating energy demand. This paper studies the energy and environmental implications, from a Life Cycle Assessment (LCA) approach, due to these new daily habits in residential buildings at their current level of thermal insulation, and in different scenarios of thermal retrofit of their envelope. This study has a building-to-building approach by using Geographical Information Systems (GIS) for the residential housing stock in the case of Barcelona, Spain. The results show that a change in daily habits derived from the pandemic can increase the heating energy consumption and carbon dioxide emission in residential buildings by 182%. Retrofitting all buildings of Barcelona, according to conventional energy renovation instead of nearly Zero Energy Buildings (nZEB), will produce between 2.25 × 107 and 2.57 × 107 tons of carbon dioxide. Retrofitting the building stock using energy recovery is the option with better energy and emission savings, but also is the option with higher payback time for buildings built until 2007. The methodology presented can be applied in any city with sufficient cadastral data, and is considered optimal in the European context, as it goes for calculating the heating energy consumption.

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