Implementation of BIM Energy Analysis and Monte Carlo Simulation for Estimating Building Energy Performance Based on Regression Approach: A Case Study

Tahmasebinia, Faham; Jiang, Ruifeng; Sepasgozar, Samad M. E.; Wei, Jinlin; Ding, Yilin; Ma, Hongyi

doi:10.3390/buildings12040449

Cited by 29 publications

(24 citation statements)

References 41 publications

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“…Since experimental work in the existing buildings is limited primarily due to economic constraints, simulation software was used to evaluate and improve energy use in residential buildings in a mild-dry climate zone. A similar method was used in [29][30][31][32][33][34][35][36]46,47]. However, this work is based on six main aspects, which were derived from various building energy standards: envelope components, building area features, HVAC systems, service water heating systems, lighting systems, and plug loads.…”

Section: Methodsmentioning

confidence: 99%

“…Nevertheless, the study did not cover the potential of improving the developed models in a practical and standardized way. Some other papers, such as [32,36], used ASHRAE thermal comfort standards and practical energy-saving strategies to optimize thermal comfort in residential buildings of Cairo (Egypt) and energy performance in China's existing residential buildings. The findings showed that in terms of increasing energy efficiency and thermal comfort, energy-efficient rehabilitation was worth carrying out to enhance existing residential buildings.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Afterward, the generated models of the real buildings were validated using manual calibration. A similar approach was used in previous works [29,32,36,57,58].…”

Section: Simulation and Validationmentioning

confidence: 99%

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Evaluating and Enhancing the Energy Efficiency of Representative Residential Buildings by Applying National and International Standards Using BIM

et al. 2022

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Due to the chronic shortage of energy-related analytical data and disintegration of building energy regulations, numerous existing residential buildings in Petra (Jordan) and many cities worldwide suffer from poor building energy design. This paper aims at investigating the potential of applying energy-saving standards in order to improve the whole-building energy consumption of low-rise residential buildings in mild and dry climate zones. Representative buildings were selected based on a field survey. Proposed strategies focused on applicable solutions such as envelope components, and energy-related systems were set. The models were created using Autodesk Revit, and then the results were generated by the EnergyPlus engine. The findings showed that the application of building energy standards greatly impacts the overall energy end-use, where up to 30% reduction can be achieved by applying the Jordanian code, and up to 45% by applying the American standard. This work provides guidance for the residential building industry and policymakers in Jordan and many other countries with similar building characteristics and climate zones.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Evaluating and Enhancing the Energy Efficiency of Representative Residential Buildings by Applying National and International Standards Using BIM

et al. 2022

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“…To be more specific, Building Energy Performance Simulation (BEPS) tools based on BIM, for example, Autodesk software, was used to build prototypes and simulate energy usage. Additionally, computer mathematical techniques such as the Monte Carlo simulation were utilized to assist in simulating energy usage for various building layouts [4]. Additionally, a variety of statistical tools, including the programming language R, were employed to build a set of linear regression equations for parametric and sensitivity analyses.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Using Regression Model to Develop Green Building Energy Simulation by BIM Tools

et al. 2022

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Energy consumption in the building sector poses a huge burden in terms of global energy and pollution. Recent advancements in building information modelling and simulating building energy performance (BEP) have provided opportunities for energy optimization. The use of building information modelling (BIM) also has increased significantly in the last decade based on the requirement to accommodate and manage data in buildings. By using the data, some building information modelling tools have developed the function of energy analysis. This paper aims to identify design parameters critical to BEP to assist architects in the initial stages of building design and to investigate their relationship. The outcomes of the prototype model’s energy simulations were then used to construct multilinear regression models. For the rest of the independent building design variables, linear regression models are used to analyse the relationship between it and energy consumption. It was concluded that, in the same building conditions, diamond-shaped buildings have the highest energy consumption, while triangle-shaped buildings showed the most efficient energy performance through energy simulations for seven fundamental prototype building models based on Autodesk Kits, Green Building Studio (GBS) with a Doe-2 engine. In addition, the developed regression models are validated to within 10% error via a case study of the ABS building. At the end of this paper, recommendations are provided on energy optimisation for the initial stages of building design. The parametric analysis of design variables in this study contributed to the total energy consumption at the early phases of design and recommendations on energy optimization.

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“…erefore, any change in consumer behavior is based on recognizing their consumption behavior and on promoting energy management recommendations in the field of energy [4]. It is necessary to subscribe to the consumption pattern of subscribers, including their status, knowledge, attitude, and consumption behavior that should be studied, and with the understanding of the objective conditions of consumers, appropriate strategies and programs should be formulated and presented [5,6].…”

Section: Introductionmentioning

confidence: 99%

Providing an Expert System to Manage Energy Consumption in Small‐ and Medium‐Sized Industries Using Soft Computing

2022

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The increasing growth of electricity consumption, the need for its continuous supply, and the impossibility of storing this vital energy are among the primary and essential reasons for preventing any interruption in supply and proper planning regarding energy consumption management, especially in industry. The innovation of this research is the design of a decision-making system to help decision-making in energy management in small- and medium-sized industries using the knowledge of experts in small- and medium-sized industries and the electricity industry in the field of energy consumption management and extracting relevant expertise rules to create a knowledge base. Therefore, the main advantage of the research is to provide an expert system for the correct management of energy consumption in small and medium industries using soft computing. Another advantage of the research is the use of uncertain decision-making variables in this field; instead of using words and linguistic restrictions in this research, modeling them in the system using the principles of fuzzy logic is used. The main objectives of this research include determining the effective variables in determining the amount of energy production for small and medium industries, explaining the existing tacit knowledge and turning it into explicit knowledge, and providing an expert system for managing energy consumption in this field. Based on the results of field studies and the research literature, effective variables in determining the amount of electricity generation were identified. By extracting the knowledge of industry experts, the tacit knowledge available as explicit knowledge in the storage knowledge base and the system was designed to manage electrical charge consumption. One of the achievements of this system is its creation and measurement using various data and results obtained from small and medium industries. Finally, the results obtained from the expert system in comparing the output of expert opinions and the system’s performance in managing the amount of energy production showed that the usefulness of the expert system was designed. The system uses the knowledge base to make decisions such as an expert human. According to the main results of the research based on comparing the performance of the system with the Bayesian inference networks, it showed that there is an acceptable correlation between the data and the prediction system. Also, to evaluate the acquisition of data using a statistical test, it has been determined that the total number of blackout hours in different areas of Tehran in the base year was more than the current year.

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Implementation of BIM Energy Analysis and Monte Carlo Simulation for Estimating Building Energy Performance Based on Regression Approach: A Case Study

Cited by 29 publications

References 41 publications

Evaluating and Enhancing the Energy Efficiency of Representative Residential Buildings by Applying National and International Standards Using BIM

Evaluating and Enhancing the Energy Efficiency of Representative Residential Buildings by Applying National and International Standards Using BIM

Using Regression Model to Develop Green Building Energy Simulation by BIM Tools

Providing an Expert System to Manage Energy Consumption in Small‐ and Medium‐Sized Industries Using Soft Computing

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