scholarly journals Using Building Information & Energy Modelling for Energy Efficient Designs

2021 ◽  
Vol 26 ◽  
pp. 427-440
Author(s):  
Mohamed K. Watfa ◽  
Amal E. Hawash ◽  
Kamal Jaafar
Keyword(s):  
Energy Consumption ◽  
Construction Industry ◽  
Energy Use ◽  
Orientation Angle ◽  
Green Building ◽  
Building Energy ◽  
Information Modeling ◽  
Building Energy Consumption ◽  
Building Orientation ◽  
Building Information

The construction industry has a huge impact on the environment in terms of noise, water and land pollution, traffic congestion and waste disposal. Another aspect of the construction industry impact on the environment is the increasing energy consumption. According to published research, buildings energy use is expected to increase by 32% by the year 2040. As a result, efforts have been directed toward improving green building awareness and the application of sustainability concepts in the design, construction and building management processes. In this research, using extensive simulations, the integration between Building Information Modeling methodology (BIM) and Building Energy Modeling (BEM) methodologies in order to effectively minimize the overall energy consumption of a residential building in the UAE is investigated by studying several design factors including: building orientation and windows type, size and distribution on the overall building energy consumption. Results show that to increase the modelled building’s energy and financial efficiency, recommended changes to the initial design have to be done including changing the distribution of the southern façade and the type of windows glazing used. More specifically, there was a peak energy reduction of: 8% with a 180 degrees building orientation angle, 2% with a window to wall ratio of 15%, and 2% when double glazing windows were used. This work validates that the combination of BIM and BEM allows to enhance the overall building energy consumption efficiency and to further establish the needed sustainability goals through a generated 3D model.

scholarly journals The Optimization of Building Energy Consumption in Universitas Negeri Padang Using Building Energy Simulation Program

Teknomekanik ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 30-35
Author(s):  
Andre Kurniawan ◽  
Nanang Qosim ◽  
Remon Lapisa ◽  
Zainal Abadi ◽  
Jasman Jasman
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Use ◽  
Green Building ◽  
Energy System ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Energy Audit ◽  
System A ◽  
Better Than

Energy consumption of a building is one of the biggest sources of energy use today. Green Building Comitte Indonesia (GBCI) has launched a concept of energy consumption saving in a nationally standard building. Audit Building energy audit is the way to know how actual building energy consumption is and find alternative solution to decrease energy consumption in order to fulfill the energy saving building criteria. Two types of HVAC systems will be run in the EnergyPlus simulation, split AC and central AC. The previous research proved that central AC is better than split AC system for energy saving in the building with 20 floors. The simulation results show that by using a certain energy system, a more efficient energy system will be achieved and can still maintain the comfort of the room at a temperature of 24 °C and relative humidity according to the Green Building Indonesia standard reference.

scholarly journals Investigating Primary Factors Affecting Electricity Consumption in Non-Residential Buildings Using a Data-Driven Approach

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4046 ◽  
Author(s):  
Sooyoun Cho ◽  
Jeehang Lee ◽  
Jumi Baek ◽  
Gi-Seok Kim ◽  
Seung-Bok Leigh
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Simulation Analysis ◽  
Residential Buildings ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Building Energy ◽  
Major Effect ◽  
Measuring Instruments ◽  
Building Energy Consumption

Although the latest energy-efficient buildings use a large number of sensors and measuring instruments to predict consumption more accurately, it is generally not possible to identify which data are the most valuable or key for analysis among the tens of thousands of data points. This study selected the electric energy as a subset of total building energy consumption because it accounts for more than 65% of the total building energy consumption, and identified the variables that contribute to electric energy use. However, this study aimed to confirm data from a building using clustering in machine learning, instead of a calculation method from engineering simulation, to examine the variables that were identified and determine whether these variables had a strong correlation with energy consumption. Three different methods confirmed that the major variables related to electric energy consumption were significant. This research has significance because it was able to identify the factors in electric energy, accounting for more than half of the total building energy consumption, that had a major effect on energy consumption and revealed that these key variables alone, not the default values of many different items in simulation analysis, can ensure the reliable prediction of energy consumption.

The Use of BIM Technology in Analyzing Building Energy and EconomicFeasibility of Solar Panel

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Muhammadiya Rifqi ◽  
Heni Fitriani ◽  
Puteri Kusuma Wardhani
Keyword(s):  
Power Plants ◽  
Energy Use ◽  
Electrical Energy ◽  
Building Energy ◽  
Economic Feasibility ◽  
Information Modeling ◽  
Office Buildings ◽  
Design Stage ◽  
Solar Panels ◽  
Building Information

Buildings contribute more than 40% of world energy consumption, so it is feared that it will cause energy problems in thefuture, especially in the construction sector. One solution to reducing this problem is by analyzing energy use at the initialdesign stage and utilizing solar energy as one of the solar power plants (PLTS) in office buildings. To analyze the use ofenergy in buildings, Building Information Modeling (BIM) was used. The purpose of this research is to analyze the annualenergy level of office buildings in Palembang using BIM software, namely Autodesk Revit. The number of solar panels aswell as the amount of energy were also identified using web-based software (HelioScope) resulting the economic feasibilityas indicated by the installation of solar panels as a component of PV mini-grid. The results showed that the use of BIMtechnology in analyzing building energy can provide a detailed description of the building model at the design stage. Revitanalysis indicates that the building consumed electrical energy per year for about 3,647,713 kWh with a roof area of 1,657m2. In addition, based on the HelioScope analysis, the use of renewable energy from the installation of PLTS was 152,900kWh/year. Meanwhile, for economic feasibility analysis, the installation of PLTS in office buildings can provide a positive NetPresent Value (NPV), indicating a feasible project.

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.

scholarly journals Assessing the Effectiveness of Building Information Modeling in Developing Green Buildings from a Lifecycle Perspective

2020 ◽  
Vol 12 (23) ◽  
pp. 9988
Author(s):  
Quan Wen ◽  
Zhongfu Li ◽  
Yifeng Peng ◽  
Baorong Guo
Keyword(s):  
Construction Industry ◽  
Building Information Modeling ◽  
Green Building ◽  
Decision Makers ◽  
Information Modeling ◽  
Estimation Accuracy ◽  
A Value ◽  
Functional Value ◽  
Building Information ◽  
Research Gap

Building information modeling (BIM) is an emerging technique in the construction industry. It is regarded as an effective approach for green building development; however, its effectiveness has not been sufficiently investigated from a lifecycle perspective. To bridge this research gap, this study investigates BIM application value in different phases of a green building through a convolutional neural network (CNN) method. To begin with, an assessment framework was developed with the consideration of balancing the estimation accuracy and the data size. Then, the validity of the developed model was verified from both theoretical and practical perspectives. Finally, the effectiveness of BIM was tested using the proposed framework. Results showed that the overall score of the tested project was four in the five-point Likert scale, with an average relative error less than 1%. From a value-based perspective, it is revealed that the application value of BIM represented a descending order throughout the lifecycle of the tested project. In addition, it is found that the functional value obtained the highest score, whereas social value was at the bottom. The findings of this study can help decision makers to detect the weaknesses of BIM implementation during green building development.

Impact of Building Orientation and Window-Wall Ratio on the Office Building Energy Consumption

2013 ◽  
Vol 409-410 ◽  
pp. 606-611 ◽  
Author(s):  
Zhen Yu ◽  
Wei Lin Zhang ◽  
Ting Yong Fang
Keyword(s):  
Energy Consumption ◽  
Air Conditioning ◽  
Building Energy ◽  
Simulation Software ◽  
Office Building ◽  
Building Energy Consumption ◽  
Total Energy Consumption ◽  
Building Orientation ◽  
Heating Energy Consumption ◽  
Energy Consumption Simulation

Using the energy consumption simulation software to research the HVAC in fall air conditioning mode, different building orientation and window-wall ratio of the office building energy consumption. The study found that the heating energy consumption, air-conditioning energy consumption and total energy consumption is gradually increased with the increase of the window-wall ratio under the same orientation. The result provides some reference for public buildings in setting of building orientation and window-wall ratio.

Integrating BIM Technology to Achieve Green Building’s Sustainable Performance

2014 ◽  
Vol 1073-1076 ◽  
pp. 1271-1274
Author(s):  
Yun Hui Yang
Keyword(s):  
Construction Industry ◽  
Building Information Modeling ◽  
Green Building ◽  
Information Modeling ◽  
Sustainable Performance ◽  
Operation And Maintenance ◽  
Building Management ◽  
Building Information ◽  
Design Construction ◽  
Design And Construction

Green building is rapidly transforming the design and construction industry around the globe. Simultaneously, a growing numbers of industry practitioners are taking the advantages of building information modeling (BIM) to upgrade the sustainable performance of green building. BIM tools encourage an integrated lifecycle green building management from design, construction, and prefabrication to operation and maintenance. This paper represents using BIM technology to achieve green building objectives and sustainable performances.

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.

Parametric Analysis of Building Elements on Building Energy Use

2015 ◽  
Vol 74 (4) ◽  
Author(s):  
Atefeh Mohammadpour ◽  
Mohammad Mottahedi ◽  
Shideh Shams Amiri ◽  
Somayeh Asadi ◽  
David Riley ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Full Range ◽  
Building Energy ◽  
Energy Performance ◽  
Simulation Software ◽  
Design Parameters ◽  
Building Energy Consumption ◽  
Commercial Building ◽  
Building Shape

Building energy modeling is essential to estimate energy consumption of buildings. Predicting building energy consumption benefits the owners, designers, and facility managers by enabling them to have an overview of building energy consumption and can help them to determine building energy performance during the design phase. This paper focuses on two different shapes of commercial building, H and rectangle to estimate energy consumption in buildings in three different climate zones, cold, hot-humid, and mixed-humid. To address this, DOE-2 building simulation software was used to build and simulate individual commercial building configurations that were generated using Monte Carlo simulation techniques. Ten thousand simulations for each building shape and climate zone were conducted to develop a comprehensive dataset covering the full range of design parameters. 

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