BIM adoption in sustainability, energy modelling and implementing using ISO 19650: A review

Ain Shams Engineering Journal, Journal Year: 2023, Volume and Issue: 15(1), P. 102252 - 102252

Published: April 19, 2023

The construction industry is adopting a ground-breaking invention called Building Information Modeling (BIM) to virtually manage and plan projects throughout the building's lifespan. In architectural, engineering, (AEC) sector, adoption of BIM growing government sector worldwide, including governmental entities non-profit organizations. This article covers how building information modelling was used produce suggestions help customers operational teams appropriately specify needs for projects. ISO 19650 standards underline this as first most critical stage in ensuring that there adequate available optimize constructed assets over course their whole life cycle. A study gap discovered absence explicit recommendations aimed at helping determine appointing party. research gives action identify promote effective project outcomes. Since Pakistan does not have standard, authors recommended using with minimum modification Pakistan's it offers systemic framework regard.

Language: Английский

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A survey-based approach of framework development for improving the application of internet of things in the construction industry of Malaysia

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101823 - 101823

Published: Jan. 27, 2024

The progress of our society is reflected in the building sector, which emphasises necessity constantly modifying instruments to take advantage new opportunities. An example cutting-edge technology with potential completely transform construction sector Internet Things (IoT). goal this comprehensive analysis help industry improve understanding how crucial it embrace IoT. In study, a systematic review relevant literature was conducted identify factors that contribute enhancing IoT applications industry. primary objective list and evaluate most important uses, advantages difficulties using sector. This revealed has significant by improving productivity, safety, sustainability quality across entire lifecycle. However, barriers such as data privacy cybersecurity lack standardised protocols need be addressed. concludes likely revolutionise coming years if these challenges can overcome. These findings imply firms experiment analytic tools phased use cases, whilst policy groups must collaborate on standards protocols. Although obstacles exist, strategic implementation promises major operational breakthroughs near future.

Language: Английский

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Automated monitoring innovations for efficient and safe construction practices

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102057 - 102057

Published: April 2, 2024

As construction projects increase in complexity, there are growing challenges with conventional monitoring methods terms of efficiency, safety, and competitiveness. Traditional supervision techniques labour-intensive, intermittent, prone to errors. Hence, this study statistically evaluates the potential advantages photogrammetry, sensors, algorithms enable continuous automated monitoring. The results survey were analysed compare manual systems. outcome shows that Malaysian industry is aware Automated Monitoring Innovations for Efficient Safe Construction Practices. top ranked factor was Photogrammetry which had a relative importance index (RII) 0.821 straightforward site 0.812 accelerated 3D BIM modelling. RII sensors track labourers, apparatus, progress real time 0.82, while hazard anticipation 0.796. Automation achieved reduction fatigue by 0.784, labour intensity 0.792, demands 0.768, as measured RII. A conceptual framework developed incorporates measurable improvements schedules, quality control. solutions, opposed human examinations error, provided exhaustive geographical data ongoing surveillance notwithstanding obstacles pertaining cost, cybersecurity, privacy, integration. must incorporate new technology, strategic change management, investments, supporting regulations profitability, efficiency competition complexity increase.

Language: Английский

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Building energy consumption optimization method based on convolutional neural network and BIM

Alexandria Engineering Journal, Journal Year: 2023, Volume and Issue: 77, P. 407 - 417

Published: July 7, 2023

The increasing tension of energy supply and demand makes the optimization building consumption more concerned by researchers. Based on theory convolutional neural network BIM (Building Information Modeling), a model is constructed. parameter solving problem solved. In simulation process, calculation same size as Revit's three-dimensional established in eQUEST software, basic analysis parameters model, such geographical location, meteorological data other information, component materials, running time table are set unified standards. was carried out for self-built automatically generated improved DOE-2 file software. body coefficient 0.370, window-wall ratios east, west, south north directions 0.07, 0.21, 0.30 0.16, respectively, which all meet requirements relevant specifications. Compared with scheme before optimization, it found that reduced 24.53%, natural lighting increased 18.98%, pressure par hours 10.57%.

Language: Английский

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BIM Integration with XAI Using LIME and MOO for Automated Green Building Energy Performance Analysis

Energies, Journal Year: 2024, Volume and Issue: 17(13), P. 3295 - 3295

Published: July 4, 2024

Achieving sustainable green building design is essential to reducing our environmental impact and enhancing energy efficiency. Traditional methods often depend heavily on expert knowledge subjective decisions, posing significant challenges. This research addresses these issues by introducing an innovative framework that integrates information modeling (BIM), explainable artificial intelligence (AI), multi-objective optimization. The includes three main components: data generation through DesignBuilder simulation, a BO-LGBM (Bayesian optimization–LightGBM) predictive model with LIME (Local Interpretable Model-agnostic Explanations) for prediction interpretation, the optimization technique AGE-MOEA address uncertainties. A case study demonstrates framework’s effectiveness, achieving high accuracy (R-squared > 93.4%, MAPE < 2.13%) identifying HVAC system features. resulted in 13.43% improvement consumption, CO2 emissions, thermal comfort, additional 4.0% gain when incorporating enhances transparency of machine learning predictions efficiently identifies optimal passive active solutions, contributing significantly construction practices. Future should focus validating its real-world applicability, assessing generalizability across various types, integrating generative capabilities automated

Language: Английский

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A framework for enhancing safety planning in oil and gas construction projects

Ain Shams Engineering Journal, Journal Year: 2025, Volume and Issue: 16(2), P. 103257 - 103257

Published: Jan. 5, 2025

Language: Английский

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Optimizing residential building energy efficiency through smart composite insulated panel systems

Discover Environment, Journal Year: 2025, Volume and Issue: 3(1)

Published: Feb. 10, 2025

Language: Английский

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Harnessing Deep Learning and Reinforcement Learning Synergy as a Form of Strategic Energy Optimization in Architectural Design: A Case Study in Famagusta, North Cyprus

Buildings, Journal Year: 2024, Volume and Issue: 14(5), P. 1342 - 1342

Published: May 9, 2024

This study introduces a novel framework that leverages artificial intelligence (AI), specifically deep learning and reinforcement learning, to enhance energy efficiency in architectural design. The goal is identify arrangements maximize efficiency. complexity of these models acknowledged, an in-depth analysis model selection, their inherent complexity, the hyperparameters govern operation conducted. validates scalability by comparing them with traditional optimization techniques like genetic algorithms simulated annealing. proposed system exhibits superior scalability, adaptability, computational research also explores ethical societal implications integrating AI design, including potential impacts on human creativity, public welfare, personal privacy. acknowledges it its preliminary stage identifies limitations, setting for future expand effectiveness methodology. findings indicate can steer field towards sustainability, demonstrated reduction usage up 20%. conducts thorough architecture, emphasizing balance between technological advancement creativity. In summary, this presents groundbreaking approach energy-efficient design using AI, promising results wide-ranging applicability. It thoughtfully addresses considerations integration.

Language: Английский

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Construction 4.0 in a narrow and broad sense: A systematic and comprehensive literature review

Building and Environment, Journal Year: 2023, Volume and Issue: 244, P. 110788 - 110788

Published: Sept. 4, 2023

This article presents a systematic review that assesses the implication of Construction 4.0 from both narrow perspective centred on technology adaptation, and broader includes implications society, environment, governance, itself (referred to as 'SEGT dimensions'). The draws selection analysis 131 primary sources, including peer-reviewed articles, books, chapters published between 2016 2023. literature consistently reveals discernible pattern: (i) notable gap theoretical propositions practical implementation technologies, processes, strategies; (ii) range barriers hindering effective adoption this transformative paradigm such significant upfront costs associated with integrating shortage skilled personnel adept in utilizing these inadequate regulatory frameworks, hesitancy among construction leadership, deep-seated aversion change within industry; and, (iii) lack understanding policy scholarly community about impact SEGT dimensions. warns for unfounded technocratic optimism 4.0; calls holistic application 'new' refrain cherry-picking 'cheap easy' technologies applications; suggests industry may be able leapfrog '4.0' revolution directly embrace '5.0' approach by incorporating human-centric focusing how automation can help address central challenges 21st century.

Language: Английский

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Leveraging BIM for Sustainable Construction: Benefits, Barriers, and Best Practices

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7654 - 7654

Published: Sept. 3, 2024

The building sector is still criticized for its excessive energy use and negative environmental effects, even with significant improvements in recent years. It makes a major contribution to the world’s energy, waste, water use. This study investigates possible benefits of using Building Information Modeling (BIM) technology environmentally friendly methods. also seeks identify rank obstacles industry’s integration sustainability BIM. aims accomplish research objectives by means questionnaire survey approach. three primary categories associated BIM are social, economic, environmental, which correspond generally acknowledged elements sustainable development. provision centralized database that facilitates administration full lifetime, less material increased design efficiency have all been noted as key benefits. In industry, approaches shown be quite successful improving practices. does, however, point out few difficulties. number people degree has significantly, but there not enough qualified professionals necessary knowledge experience. Project managers skills needed oversee deployment successfully. They should able advice counsel clients other stakeholders on may maximize performance structures across their lifetimes make well-informed decisions integrating concepts into process.

Language: Английский

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