A review on enhancing energy efficiency and adaptability through system integration for smart buildings

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 89, P. 109354 - 109354

Published: April 18, 2024

Language: Английский

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Unmanned Ground Vehicles (UGVs)-based mobile sensing for Indoor Environmental Quality (IEQ) monitoring: Current challenges and future directions

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 88, P. 109169 - 109169

Published: March 29, 2024

The deployment of Unmanned Ground Vehicles (UGVs) offers a promising solution for addressing spatial inefficiency and non-detection zone challenges the Indoor Environmental Quality (IEQ) monitoring area. Nevertheless, it is crucial to assess current state research development in this area, identify persistent challenges, outline future directions. This review examines previous studies prospects. data on four classified clusters (UGV structure components, Monitoring capturing, Data analysis validation, Future directions) were extracted from 30 out total 111 studies. results suggested that UGV navigation could benefit integration 3D environmental models, its sensing reliability performance can be further better evaluated by including human behavior into research, developing practical approaches mitigating sensor response time error calculating optimal velocity during particulate matter capturing enable enhance acquisition stage. Furthermore, leveraging strengths approach advance domains such as method with Building Automation System (BAS), source apportionment, IEQ predictive IAQ simulation air pollutants concentration spikes analysis. findings study offer valuable insights researchers interested implementing UGV-based mobile effective assessment.

Language: Английский

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Digital twin (DT) and extended reality (XR) for building energy management

Energy and Buildings, Journal Year: 2024, Volume and Issue: 323, P. 114746 - 114746

Published: Aug. 31, 2024

Language: Английский

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Occupant-centered indoor environmental quality management: Physiological response measuring methods

Building and Environment, Journal Year: 2023, Volume and Issue: 243, P. 110661 - 110661

Published: July 24, 2023

Language: Английский

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Recent advancements of human-centered design in building engineering: A comprehensive review

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 84, P. 108529 - 108529

Published: Jan. 13, 2024

Language: Английский

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Emotion-oriented recommender system for personalized control of indoor environmental quality

Building and Environment, Journal Year: 2024, Volume and Issue: 254, P. 111396 - 111396

Published: March 11, 2024

Language: Английский

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A novel online prediction method for vehicle cabin temperature and passenger thermal sensation

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 245, P. 122853 - 122853

Published: March 2, 2024

Language: Английский

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Indoor environmental quality models: A bibliometric, mapping and clustering review

Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 203, P. 114791 - 114791

Published: July 30, 2024

Language: Английский

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Real-time clothing insulation level classification based on model transfer learning and computer vision for PMV-based heating system optimization through piecewise linearization

Building and Environment, Journal Year: 2024, Volume and Issue: 253, P. 111277 - 111277

Published: Feb. 10, 2024

Achieving a balance between energy efficiency and thermal comfort is pivotal aspect of sustainable building design. Traditional control methods typically maintain indoor air temperature within predetermined limits, disregarding variable factors like occupancy activity clothing levels, which significantly influence perception. Conversely, comfort-based strategies present an opportunity to automate heating cooling systems, dynamically responding variations in comfort. To achieve this, real-time information on insulation (and its adjustment) indispensable for accurately estimating In this study, we explore the potential novel detection approach capable classifying utilizing optimize operation systems. By doing so, proposed method facilitates delivery conditions tailored user requirements potentially reduces wastage. The development 2 stage computer vision-based framework classification forms core approach. Leveraging deep learning network algorithms, performs recognition tasks, even with limited training data, enabling light, medium heavy clothing. address nonlinearity traditional predicted mean vote (PMV) models, applied piecewise linearization our PMV-based optimal strategy. Through initial experimental field tests conducted case study university building, evaluate method's performance. results demonstrate ability classify levels generate profiles. We further analyze impact performance through scenario-based modelling simulations. showed integrating controls enhance overcome limitations predefined or fixed schedules. However, while highlights feasibility multiple occupants engaged diverse activities, acknowledge need refinement accuracy seamless integration

Language: Английский

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The First Step Towards Energy Self-Sufficiency in Smart Cities: The Present and Future of Virtual Power Plant Technology

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112920 - 112920

Published: March 1, 2025

Language: Английский

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