Effectivity of BIM technology in using green energy strategies for construction projects

Taha, Farah Faaq; Hatem, Wadhah Amer; Jasim, Nidal Adnan

doi:10.1007/s42107-020-00256-w

Cited by 17 publications

(13 citation statements)

References 14 publications

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“…A set of policy initiatives [24][25][26][27][28] was issued having the aims to encourage us to make rational and more robust decisions in our projects, lives, and communities. These initiatives advise an organisation to take into consideration social, environmental, legal, cultural, and political heterogeneity, thus assisting organisations in contributing to sustainable development.…”

Section: The Background Of the Researchmentioning

confidence: 99%

Decision Tree and AHP Methods Application for Projects Assessment: A Case Study

et al. 2021

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This research is dedicated to the modelling of decision process occurring during the implementation of construction projects. Recent studies generally do not assess the robustness of the decisions regarding the possible changes during the construction project implementation. However, such an assessment might increase the reliability of the decision-making process. We addressed this gap through a new model that combines the decision-making process modelling with the AHP method and includes the analysis of model stability concerning stakeholders’ behaviour. We used the Analytic Hierarchy Process (AHP) and Decision tree methods to model the decision-making process. The proposed model was validated on a case study of multiple construction projects. The assessment was performed from individual investor’s and independent expert’s perspectives. The criteria for the assessment were selected according to the principles of sustainability. We performed the sensitivity analysis, making it possible to assess the possible changes of the decisions depending on the potential patterns of the decision-makers’ behaviour. The results of the study show that, sometimes, small fluctuations in the project factors affect the project selection indicating the possible lack of the robustness of the project decisions.

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Section: The Background Of the Researchmentioning

confidence: 99%

Decision Tree and AHP Methods Application for Projects Assessment: A Case Study

et al. 2021

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“…Electricity energy analysis by using Green Building Studio gives a very detailed analysis, most electricity consumption goes for cooling space due to Iraq weather is considered dry and hot in most months as shown in figure as shown in Figure (6). The total electricity consumption per month shows that there are large variations during the year, which fluctuated between 15719KWh in February and 63871kWh in August as shown in table (2).…”

Section: Monthly Electricity Energy Analysismentioning

confidence: 99%

“…Building Information Modeling(BIM) technique is one of the modern technologies that allow multidisciplinary information to overlap in one model, which creates an opportunity to perform sustainability measures and analyses energy performance in the early design stage [5]. BIM technology helps in increasing energy efficiency through many strategies and it also gives the capability to solve all problems related to energy efficiency in the early design stage of the project [6]. building components have the most effect on energy dissipation where energy dissipation of wall around 35%, roof around 25%, windows around 10% as and floor around 15% [7].…”

Section: Introductionmentioning

confidence: 99%

Building Energy Management using BIM Technique: Iraq Construction Projects as A Case Study

Taha

2020

DJES

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Building Information Modeling (BIM) technique is one of the modern techniques that have become widely used in many areas of the construction sector, including energy management. This work aims to study the effect of sun path analysis in improving energy performance, analysis and evaluation of the energy performance based on the tools provided by BIM technique, and comparison of simulated electrical energy results with real electrical energy consumption. The criteria of this study applied on one Iraqi project at Diyala University. The results illustrate that BIM very useful to perform various analyses helped to find different strategies for improving the energy efficiency of the project such as sun path analysis and Green Building studio (GBS) tool based on BIM technique useful tool to energy analysis where the result illustrate most electricity consumption goes for cooling space with consumption around (63871) kWh in August month as well as most fuel consumption for the purpose of space heating with consumption around(187846) MJ in December. GBS tool based on BIM technique is an effective tool that can help designers and architects in energy performance assessment as well as calculate energy costs in the early design stage, also it helps in finding the best solutions that contribute to improving energy efficiency in the early stages of the project life cycle.

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“…Ground source heat pump system and existing gas boiler were compared and results showed up to 73% heating energy need reduction and 69% CO 2 emission savings while maintaining the same operation and comfort conditions for the occupants. Taha et al [22] performed daylight and photovoltaic panel performance analyses on a modelled two-floor educational facility. They quantified also the energy saving led by design alternatives in terms of kWh/year, experimenting the use of BIM technology for preliminary design assessments.…”

Section: Introductionmentioning

confidence: 99%

A Procedure for Automating Energy Analyses in the BIM Context Exploiting Artificial Neural Networks and Transfer Learning Technique

Demianenko

Gaetani

2021

Energies

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One of the main benefits of Building Information Modelling is the capability of improving the decision-making process thanks performing what-if tests on digital twins of the building to be realized. Pairing BIM models to Building Energy Models allows designers to determine in advance the energy consumption of the building, improving sustainability of the construction. The challenge is to consider as many elements involved in the energy balance as possible and shuffling their parameters within a certain range. In this work, the automatic creation of a relevant set of design options to be analyzed for searching the optimum has been carried out. Firstly, the usual workflow that would be applied manually has been automatically followed by running scripts and codes, depending just on the initial setup given by the user. Although the procedure is very resource consuming, the main advancement relies in the reduction of the manual intervention and the possibility of creating large datasets of design options, avoiding gross errors. Secondly, Artificial Neural Networks and Transfer Learning techniques are applied to speed up the process of dataset creation. With such approach, the same dataset has been created, with about 30% of initial data and without significant loss of accuracy.

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Effectivity of BIM technology in using green energy strategies for construction projects

Cited by 17 publications

References 14 publications

Decision Tree and AHP Methods Application for Projects Assessment: A Case Study

Decision Tree and AHP Methods Application for Projects Assessment: A Case Study

Building Energy Management using BIM Technique: Iraq Construction Projects as A Case Study

A Procedure for Automating Energy Analyses in the BIM Context Exploiting Artificial Neural Networks and Transfer Learning Technique

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