scholarly journals A stochastic model of integrating occupant behaviour into energy simulation with respect to actual energy consumption in high-rise apartment buildings

2016 ◽  
Vol 121 ◽  
pp. 205-216 ◽  
Author(s):  
Hyunju Jang ◽  
Jian Kang
Keyword(s):  
Energy Consumption ◽  
Stochastic Model ◽  
Energy Simulation ◽  
Occupant Behaviour ◽  
High Rise ◽  
Apartment Buildings ◽  
Actual Energy Consumption

scholarly journals Understanding the energy performance GAP: case studies of energy efficient homes

2021 ◽  
Author(s):  
Moe Otsubo
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Energy Performance ◽  
Initial Energy ◽  
Energy Simulation ◽  
Design Stage ◽  
Performance Gap ◽  
Energy Models ◽  
Dynamic Energy Simulation ◽  
Actual Energy Consumption

The energy performance gap between the predicted and actual energy consumption of 3 LEED for Homes certified buildings were investigated. The actual energy consumptions of the homes were found to be 23 to 77% higher than the initial energy consumption predictions made during the design stage. Revisions to the HOT2000 models to account for changes made between the design and occupancy phase of the buildings helped reduce the gap (9 to 40%). The sources of the discrepancies were found to be related to the energy modeling program’s limitations, inconsistency between the energy model and the actual building, and additional loads in the homes. The HOT2000 program, which is used for obtaining the EnerGuide rating for LEED certified homes, was compared against a dynamic energy simulation program to assess the applicability of the use of the former for energy efficient homes. The use of EnergyPlus not only allowed for a more accurate representation of the actual homes in the energy models, but an increase in the EnerGuide rating for the home was seen, which in turn equates to additional points for the home under the “Energy & Atmosphere” category for the LEED for Homes certification process

scholarly journals The influence of design features of housing facilities on energy consumption

2020 ◽  
Vol 175 ◽  
pp. 11019
Author(s):  
Sergei Kolodyazhniy ◽  
Valeriy Mishchenko ◽  
Elena Gorbaneva ◽  
Kristina Sevryukova
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Structural Characteristics ◽  
Electricity Consumption ◽  
End User ◽  
Total Energy Consumption ◽  
Apartment Buildings ◽  
Energy Models ◽  
Actual Energy Consumption ◽  
The Impact

This article analyzed the impact of the structural characteristics of old apartment buildings on actual energy consumption. The authors reviewed energy consumption in existing apartment buildings in Voronezh in order to determine the need for major repairs and energy efficiency. For this purpose, a comparative analysis of energy consumption in old apartment buildings and in new ones built in accordance with the current regulations was carried out. Three indicators of energy consumption were considered for analysis: total energy consumption by the end-user, heating of premises and electricity consumption depending on the year of construction of apartment buildings. The characteristics considered were used to quantify energy consumption (heating and power supply). Due to the results obtained, a statistical analysis of energy consumption in old apartment buildings and in new ones was carried out. It was noted that old apartment buildings consume more energy than those built at a late stage, in accordance with the current regulatory framework. The results can be useful in identifying priority elements of the building that will help to effectively reduce energy consumption during major repairs and classify existing residential buildings to build energy models.

Uncertainty of Daylighting Performance of Manual Solar Shades and its Influence on Lighting Energy

2020 ◽  
pp. 77-84
Author(s):  
Jian Yao ◽  
LiYi Chen ◽  
Wu Jin
Keyword(s):  
Energy Consumption ◽  
Economic Analysis ◽  
Stochastic Model ◽  
Building Energy ◽  
Energy Performance ◽  
Building Energy Consumption ◽  
Occupant Behaviour ◽  
The South ◽  
Weak Relationship ◽  
Lighting Energy

Occupant behaviour significantly influences building energy consumption. This paper is devoted to studies the uncertainty of daylighting performance and lighting energy of manual solar shades on the south facade. A developed stochastic model for manual solar shades was used for co-simulation by BCVTB. Results show that uncertainty of shade action was not suppressed by the shade behaviour model with very weak relationship between different simulation outputs. Uncertainty of daylighting performance is 15.08 % while lighting energy uncertainty is 10.38 %. Although this level of energy uncertainty is not very significant, it influences economic analysis of manual solar shades and therefore, occupant related uncertainty should be taken into consideration when predicting energy performance of manual shades.

scholarly journals Understanding the energy performance GAP: case studies of energy efficient homes

2021 ◽  
Author(s):  
Moe Otsubo
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Energy Performance ◽  
Initial Energy ◽  
Energy Simulation ◽  
Design Stage ◽  
Performance Gap ◽  
Energy Models ◽  
Dynamic Energy Simulation ◽  
Actual Energy Consumption

The energy performance gap between the predicted and actual energy consumption of 3 LEED for Homes certified buildings were investigated. The actual energy consumptions of the homes were found to be 23 to 77% higher than the initial energy consumption predictions made during the design stage. Revisions to the HOT2000 models to account for changes made between the design and occupancy phase of the buildings helped reduce the gap (9 to 40%). The sources of the discrepancies were found to be related to the energy modeling program’s limitations, inconsistency between the energy model and the actual building, and additional loads in the homes. The HOT2000 program, which is used for obtaining the EnerGuide rating for LEED certified homes, was compared against a dynamic energy simulation program to assess the applicability of the use of the former for energy efficient homes. The use of EnergyPlus not only allowed for a more accurate representation of the actual homes in the energy models, but an increase in the EnerGuide rating for the home was seen, which in turn equates to additional points for the home under the “Energy & Atmosphere” category for the LEED for Homes certification process

scholarly journals Minimising the Deviation between Predicted and Actual Building Performance via Use of Neural Networks and BIM

Buildings ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 131 ◽  
Author(s):  
Ahmed WA Hammad
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Building Energy ◽  
Energy Performance ◽  
Limiting Factor ◽  
Occupant Behaviour ◽  
Actual Performance ◽  
Building Energy Performance ◽  
The Difference ◽  
Actual Energy Consumption

Building energy performance tools are widely used to simulate the expected energy consumption of a given building during the operation phase of its life cycle. Deviations between predicted and actual energy consumptions have however been reported as a major limiting factor to the tools adopted in the literature. A significant reason highlighted as greatly influencing the difference in energy performance is related to the occupant behaviour of the building. To enhance the effectiveness of building energy performance tools, this study proposes a method which integrates Building Information Modelling (BIM) with artificial neural network model for limiting the deviation between predicted and actual energy consumption rates. Through training a deep neural network for predicting occupant behaviour that reflects the actual performance of the building under examination, accurate BIM representations are produced which are validated via energy simulations. The proposed method is applied to a realistic case study, which highlights significant improvements when contrasted with a static simulation that does not account for changes in occupant behaviour.

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