Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112566 - 112566
Published: April 1, 2025
Language: Английский
Energy and Built Environment, Journal Year: 2023, Volume and Issue: 5(5), P. 641 - 656
Published: May 16, 2023
In recent years, the integration of digital technologies has grown rapidly in field thermal comfort and energy efficiency for buildings. The concept a twin, incorporating multiple technologies, gained increasing attention. literature lacks review twin consumption existing This paper conducts current state-of-the-art (DT) technology comfort/ employs scientometric approach examines various used creating DTs systematic analysis methods, algorithms, approaches experiments. results show growing number studies this area, with focus on monitoring, visualization, tracking, management, prediction, optimization Furthermore, prediction using algorithms such as Artificial Neural Networks (ANN), Intelligence (AI), deep neural networks, YOLOv4 have been However, wider adoption DT that can facilitate occupants, sensations, enhance human-centered solutions, improve levels are necessary. There is need further international collaboration to expand twins efficiency. highlights limitations areas improvement, limited sensors environmental measures, more subjective perception comparative predicting consumption. Further be conducted understanding occupant psychological responses/behaviors world. will consolidated robust validation building performance.
Language: Английский
Citations
82
Applied Sciences, Journal Year: 2023, Volume and Issue: 13(15), P. 8814 - 8814
Published: July 30, 2023
Buildings consume a significant amount of energy throughout their lifecycle; Thus, sustainable management is crucial for all buildings, and controlling consumption has become increasingly important achieving construction. Digital twin (DT) technology, which lies at the core Industry 4.0, gained widespread adoption in various fields, including building analysis. With ability to monitor, optimize, predict real time. DT technology enabled cost reduction. This paper provides comprehensive review development application energy. Specifically, it discusses background information modeling (BIM) optimization buildings. Additionally, this article reviews management, indoor environmental monitoring, efficiency evaluation. It also examines benefits challenges implementing analysis highlights recent case studies. Furthermore, emphasizes emerging trends opportunities future research, integrating machine learning techniques with technology. The use sector gaining momentum as efforts optimize reduce carbon emissions continue. advancement technologies expected enhance prediction accuracy, efficiency, improve processes. These advancements have focal point current literature potential facilitate transition clean energy, ultimately goals.
Language: Английский
Citations
45
Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 59, P. 102346 - 102346
Published: Jan. 1, 2024
Language: Английский
Citations
34
Energy and Buildings, Journal Year: 2022, Volume and Issue: 281, P. 112732 - 112732
Published: Dec. 28, 2022
Numerous buildings fall short of expectations regarding occupant satisfaction, sustainability, or energy efficiency. In this paper, the performance in terms comfort is evaluated using a probabilistic model based on Bayesian networks (BNs). The BN founded an in-depth analysis satisfaction survey responses and thorough study building parameters. This also presents user-friendly visualization compatible with BIM to simplify data collecting two case studies from Norway 2019 2022. paper proposes novel Digital Twin approach for incorporating information modeling (BIM) real-time sensor data, occupants' feedback, comfort, HVAC faults detection prediction that may affect comfort. New methods as platform, well predictive maintenance method detect anticipate problems system, are presented. These will help decision-makers improve conditions buildings. However, due intricate interaction between numerous equipment absence integration among FM systems, CMMS, BMS, integrated into framework utilizing ontology graphs generalize so it can be applied many results aid facility management sector by offering insight aspects influence speeding up process identifying malfunctions, pointing toward possible solutions.
Language: Английский
Citations
64
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
Citations
23
Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115257 - 115257
Published: Jan. 1, 2025
Language: Английский
Citations
1
Buildings, Journal Year: 2025, Volume and Issue: 15(3), P. 498 - 498
Published: Feb. 5, 2025
Amid global efforts to mitigate greenhouse gas emissions, improving the energy efficiency of buildings has emerged as a strategic priority. Buildings account for approximately 40% consumption and significant share CO2 making them key targets sustainable practices. This study employs systematic literature review combined with bibliometric analysis explore transformative potential digital twins in building efficiency. The synthesizes contributions real-time monitoring, predictive modeling, renewable integration, proactive maintenance while addressing critical challenges such interoperability, scalability, privacy. originality this work lies its integrated approach, which identifies emerging trends research gaps, providing actionable insights guide future adoption sector. These findings highlight pivotal role fostering intelligent
Language: Английский
Citations
1
Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9275 - 9275
Published: Oct. 25, 2024
This research investigates the use of digital twin (DT) technology to improve building energy management and analyse occupant behaviour. DTs perform function acting as virtual replicas physical assets, which facilitates real-time monitoring, predictive maintenance, data-driven decision-making. Consequently, performance comfort can be enhanced. study evaluates efficiency in optimising usage by a mix systematic literature review scientometric analysis 466 articles from Scopus database. Among main obstacles noted are interoperability issues, privacy data quality difficulties, requirement for more thorough integration interactions. The results highlight necessity standardised frameworks direct DT implementations suggest areas further study, especially improving cybersecurity incorporating behaviour into models. makes practical recommendations using increase sustainability built environment.
Language: Английский
Citations
6
Energies, Journal Year: 2023, Volume and Issue: 16(17), P. 6327 - 6327
Published: Aug. 31, 2023
This paper presents a comprehensive analysis of the potential benefits and feasibility integrating Building Energy Management Systems (BEMSs) with Information Modeling (BIM) in, but not limited to, construction building management sectors. By examining advantages, challenges, real-world case studies, this study offers valuable insights into impact BEMS-BIM integration on operations. The research methodology includes literature review bibliometric to understand subject domain identify prevalent keywords. Additionally, studies demonstrate effectiveness in scenarios. investigates possibilities challenges BIM BEMS for energy-efficient industrial buildings, emphasizing importance addressing uncertainties enhancing software interoperability. highlights revolutionize performance, enhance sustainability, contribute greener more efficient future industries.
Language: Английский
Citations
16
Machines, Journal Year: 2024, Volume and Issue: 12(5), P. 335 - 335
Published: May 14, 2024
Inconel 718’s exceptional strength and corrosion resistance make it a versatile superalloy widely adopted in diverse industries, attesting to its reliability. Electrochemical machining (ECM) further enhances suitability for intricate part fabrication, ensuring complex shapes, dimensional accuracy, stress-free results, minimal thermal damage. Thus, this research endeavors conduct novel investigation into the electrochemical of 718. The study focuses on unraveling influence key input process parameters—namely, electrolytic concentration, tool feed rate, voltage—on critical response variables such as surface roughness (SR), material removal rate (MRR), radial overcut (RO) process. powerful tool, methodology (RSM), is used understanding optimizing systems by developing mathematical models that describe relationships between variables. Under 95% confidence level, analysis variance (ANOVA) suggests electrolyte voltage, are most important factors influencing characteristics. Moreover, incorporation ANN modeling MOGA-ANN optimization algorithm introduces comprehensive approach determining optimal parameters. It considers multiple objectives simultaneously, considering trade-offs them, provides set solutions achieve desired balance MRR, SR, RO. Confirmation experiments carried out, absolute percentage errors experimental optimized values assessed. detailed topography elemental mapping were performed using scanning electron microscope (SEM). nano/micro particles 718 metal powder, obtained from ECM sludge/cakes, along with released hydrogen byproducts, offer promising opportunities recycling various applications. These materials can be effectively utilized powder metallurgy products, leading enhanced cost efficiency.
Language: Английский
Citations
5