scholarly journals Bayesian Inference Calibration of Building Energy Models for Arid Weather

2021 ◽  
Author(s):  
Danlin Hou ◽  
Ibrahim Galal Hassan ◽  
Liangzhu (Leon) Wang
Keyword(s):  
Energy Consumption ◽  
Bayesian Inference ◽  
Critical Role ◽  
Weather Conditions ◽  
Building Energy ◽  
Energy Model ◽  
Building Model ◽  
Calibration Methods ◽  
Complex Building ◽  
Building Physics

Abstract The building sector accounts for nearly 40% of global energy consumption and plays a critical role in societal energy security and sustainability. A building energy model (BEM) simulates complex building physics and provides insights into various energy-saving measures’ performance. The analysis based on BEMs has become an essential approach to slowing down increasing building energy consumption. The reliability and accuracy of BEMs have a high impact on decision-making. However, how to calibrate a building energy model has remained a challenge. In this study, Bayesian inference was applied to the calibration of an office building model under the arid weather conditions of Doha, Qatar. The coefficient of variation with a root-mean-square error of calibration and validation are 1.1% and 1.5%, respectively, which is highly satisfied with the monthly calibration tolerance of 15% required by ASHRAE Guideline 14. Additionally, the calibrated parameter results are with probabilities and degrees of confidence, so they are more reasonable and comprehensive than traditional deterministic calibration methods. This study conducted a sensitivity analysis to select the model’s dominant parameters under hot/arid weather conditions. This study will be among the first studies of stochastic calibration based on Bayesian inference for building energy performances in arid weather.

Application of BIM Technology on Energy Efficiency Building Design

2014 ◽  
Vol 587-589 ◽  
pp. 283-286 ◽  
Author(s):  
Mei Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Design Method ◽  
Building Design ◽  
Building Energy ◽  
Information Modeling ◽  
Building Energy Consumption ◽  
Analysis Software ◽  
Building Model

According to the current application situation and domestic energy of our current building energy efficiency design analysis software, in view of the current traditional energy-saving design method can't meet the need of practical problems, put forward the BIM (building information modeling) analysis technology and building energy consumption are combined, anew design method for energy saving building. Application of BIM technology to create virtual building model contains all the information architecture, the virtual building model into the building energy analysis software, identification, automatic conversion and analyzing a large number of construction data information includes in the model, which is convenient to get the building energy consumption analysis.

DEST Simulation Using the Window on the Building Energy Consumption

2011 ◽  
Vol 282-283 ◽  
pp. 257-260
Author(s):  
Hong Lei Ma ◽  
Jian Feng Wang ◽  
Min Ji
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Social Economy ◽  
Building Energy ◽  
Development Trend ◽  
Building Energy Efficiency ◽  
Building Model ◽  
Weakest Link ◽  
Term Energy

The development trend of modern architecture, the building energy efficiency have become an increasing attention, the paper outlines the importance of energy saving windows, creating a building model.DEST software using the windows energy simulation of the building model. According to the simulation results to make a number of technical measures for energy saving windows. Windows are an important part of the building, but also in building insulation weakest link, Its long-term energy consumption accounts for about 50% of building long-term energy consumption, so the insulation properties of windows increasingly widespread attention.Today in the building a social economy, good thermal insulation of windows is to improve the indoor thermal comfort, energy-saving one of the key areas, the study of energy saving windows is significant.

scholarly journals The Influence of Insulation Styles on the Building Energy Consumption and Indoor Thermal Comfort of Multi-Family Residences

2019 ◽  
Vol 11 (1) ◽  
pp. 266 ◽  
Author(s):  
Yupeng Wang ◽  
Hiroatsu Fukuda
Keyword(s):  
Energy Consumption ◽  
Thermal Comfort ◽  
Energy Saving ◽  
Energy Savings ◽  
Weather Conditions ◽  
Building Energy ◽  
High Heat ◽  
Building Energy Consumption ◽  
Indoor Thermal Comfort ◽  
Residential Energy Efficiency

The properties of building envelopes significantly affect indoor building energy consumption, indoor thermal comfort, and building durability. In the current standards for Japanese residential energy efficiency, insulation placement is not well regulated. Meanwhile, it is common in Japan to use air-conditioning intermittently, rather than having the units operate continuously. Therefore, considering specific Japanese lifestyles, we investigated insulation performance. In this research, we: (1) developed the interior insulation to include insulation on walls, ceilings and floors of building units (all of the interior surfaces) to achieve building energy savings by avoiding heat loss through thermal bridges; (2) discussed and demonstrated the effects of high heat capacitance for each of the building components and the thermal bridge by conducting building environmental simulations; (3) conducted simulations in seven cities in Japan and discussed the applicability of these different weather conditions; and (4) compared temperature distributions to investigate differences in indoor comfort with partial heating on winter nights. We demonstrated the energy saving and thermal comfort advantages of interior insulation. This research provides an innovative insulation style based on Japanese lifestyles that contributes to new energy-saving standards and formulations.

scholarly journals Development and evaluation of a building energy model integrated in the TEB scheme

2012 ◽  
Vol 5 (2) ◽  
pp. 433-448 ◽  
Author(s):  
B. Bueno ◽  
G. Pigeon ◽  
L. K. Norford ◽  
K. Zibouche ◽  
C. Marchadier
Keyword(s):  
Energy Consumption ◽  
Air Conditioning ◽  
Natural Ventilation ◽  
Urban Climate ◽  
Internal Heat ◽  
Building Energy ◽  
Energy Model ◽  
System Capacity ◽  
Building Energy Consumption ◽  
Air Conditioning Systems

Abstract. The use of air-conditioning systems is expected to increase as a consequence of global-scale and urban-scale climate warming. In order to represent future scenarios of urban climate and building energy consumption, the Town Energy Balance (TEB) scheme must be improved. This paper presents a new building energy model (BEM) that has been integrated in the TEB scheme. BEM-TEB makes it possible to represent the energy effects of buildings and building systems on the urban climate and to estimate the building energy consumption at city scale (~10 km) with a resolution of a neighbourhood (~100 m). The physical and geometric definition of buildings in BEM has been intentionally kept as simple as possible, while maintaining the required features of a comprehensive building energy model. The model considers a single thermal zone, where the thermal inertia of building materials associated with multiple levels is represented by a generic thermal mass. The model accounts for heat gains due to transmitted solar radiation, heat conduction through the enclosure, infiltration, ventilation, and internal heat gains. BEM allows for previously unavailable sophistication in the modelling of air-conditioning systems. It accounts for the dependence of the system capacity and efficiency on indoor and outdoor air temperatures and solves the dehumidification of the air passing through the system. Furthermore, BEM includes specific models for passive systems, such as window shadowing devices and natural ventilation. BEM has satisfactorily passed different evaluation processes, including testing its modelling assumptions, verifying that the chosen equations are solved correctly, and validating the model with field data.

A Detached House Simulation Using the International Building Physics Toolbox in Matlab\Simulink

2012 ◽  
Vol 162 ◽  
pp. 567-574
Author(s):  
Vlad Muresan ◽  
Balan Radu ◽  
Donca Radu ◽  
Laura Pacurar
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Heating System ◽  
Building Energy ◽  
Matlab Toolbox ◽  
Energy Behavior ◽  
Detached House ◽  
Building Physics ◽  
Radiant Floor Heating ◽  
The Impact

Energy savings are an important issue in the context of climate change. The main goal of researchers is to study and develop new methods of improving energy efficiency in household heating. In this paper a Matlab toolbox is presented and explained. The toolbox is developed for researchers and students interested in simulating building energy behavior. A test room is developed and simulated and a radiator model is implemented. Two types of heating are used during the simulation: a radiant floor heating and a panel radiator. A simple on-off control is used for each heating system. The goal of the paper is to study the impact on energy consumption of each heating system used and their impact on energy consumption when the two heating systems are used in different configurations.

Tool for Hourly Energy Consumption Estimation in Existing Office Buildings

2014 ◽  
Author(s):  
Nelson Fumo ◽  
Pedro J. Mago ◽  
Emily Ledbury
Keyword(s):  
Energy Consumption ◽  
Cooling System ◽  
Good Practice ◽  
Cost Effective ◽  
Weather Conditions ◽  
Building Energy ◽  
Office Buildings ◽  
Building Energy Consumption ◽  
Energy Profiles ◽  
Building Operation

Building energy consumption analysis is a difficult task because it depends on the characteristics and interaction among the building, the heating/cooling system, and the surroundings. Since the evaluation of building energy consumption usually requires building energy profiles on an hourly basis, which often is not available for existing buildings, the hourly energy consumption must be estimated. The dynamic behavior of the weather conditions and building operation makes computer simulations a good practice for reliable solutions. However, an energy building computer simulation requires a significant amount of experience, time, and effort to enter detailed building parameters, which is a drawback for a cost-effective solution. Therefore, simplified models based on statistics or a combination of statistics and simulations may be a better solution with reasonable uncertainty. This paper presents a tool to estimate hourly building energy consumption for existent office buildings. The proposed tool, developed in Microsoft Excel, uses simulation data from EnergyPlus Commercial Reference Buildings to convert monthly energy consumption from utility bills into hourly energy consumption. Results account for baseline and variable energy consumption for electricity and fuel. The site weather conditions, for which the energy consumption is estimated, are considered using the sixteen climate zones of the U.S.

scholarly journals Development and evaluation of a building energy model integrated in the TEB scheme

2011 ◽  
Vol 4 (4) ◽  
pp. 2973-3011 ◽  
Author(s):  
B. Bueno ◽  
G. Pigeon ◽  
L. K. Norford ◽  
K. Zibouche
Keyword(s):  
Energy Consumption ◽  
Air Conditioning ◽  
Natural Ventilation ◽  
Urban Climate ◽  
Internal Heat ◽  
Building Energy ◽  
Energy Model ◽  
System Capacity ◽  
Building Energy Consumption ◽  
Air Conditioning Systems

Abstract. The use of air-conditioning systems is expected to increase as a consequence of global-scale and urban-scale climate warming. In order to represent future scenarios of urban climate and building energy consumption, the Town Energy Budget (TEB) scheme must be improved. This paper presents a new building energy model (BEM) that has been integrated in the TEB scheme. BEM-TEB makes it possible to represent the energy effects of buildings and building systems on the urban climate and to estimate the building energy consumption at city scale (~10 km) with a resolution of a neighbourhood (~100 m). The physical and geometric definition of buildings in BEM has been intentionally kept as simple as possible, while maintaining the required features of a comprehensive building energy model. The model considers a single thermal zone, where the thermal inertia of building materials associated with multiple levels is represented by a generic thermal mass. The model accounts for heat gains due to transmitted solar radiation, heat conduction through the enclosure, infiltration, ventilation, and internal heat gains. As a difference with respect to other building parameterizations used in urban climate, BEM includes specific models for real air-conditioning systems. It accounts for the dependence of the system capacity and efficiency on indoor and outdoor air temperatures and solves the dehumidification of the air passing through the system. Furthermore, BEM includes specific models for passive systems, such as window shadowing devices and natural ventilation. BEM has satisfactorily passed different evaluation processes, including testing its modelling assumptions, verifying that the chosen equations are solved correctly, and validating the model with field data.

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