Ten questions concerning reinforcement learning for building energy management

Building and Environment, Journal Year: 2023, Volume and Issue: 241, P. 110435 - 110435

Published: May 28, 2023

Language: Английский

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Challenges and opportunities of occupant-centric building controls in real-world implementation: A critical review

Energy and Buildings, Journal Year: 2024, Volume and Issue: 308, P. 113958 - 113958

Published: Feb. 14, 2024

Over the past few decades, attention in buildings’ design and operation has gradually shifted from promoting only energy efficiency objectives to also addressing human comfort well-being. Researchers have developed a wide range of control algorithms ranging rule-based controls complex learning approaches that can fully capture occupants’ personalized preferences smart buildings. This direction occupant-centric building bridge gap between satisfaction sustainability objectives. However, most these promising technologies not yet found their way into real-world applications. study will perform critical review on thermal lighting studies aiming (i) analyze strengths weaknesses different approaches; (ii) identify requirements for techniques be implemented systems; (iii) propose new research directions promote usability such catalyst towards adoption. Computational complexity, integration with Building Automation Systems (BAS), data availability quality, scalability, lack more featuring actual implementation emerge as barriers. Addressing challenges is imperative successful deployment

Language: Английский

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Unveiling the actual progress of Digital Building Permit: Getting awareness through a critical state of the art review

Building and Environment, Journal Year: 2022, Volume and Issue: 213, P. 108854 - 108854

Published: Feb. 10, 2022

Growing interest is awarded to the digitalization of building permitting use case and many works are developed about topic. However, subject very complex aspects usually tackled separately, making it hard for traditional literature reviews grasp actual progress in overall This paper unveils detailed state art Digital Building Permitting (DBP) by critically analysing means a set coding tags (research progress, implementation, affected DBP workflow steps, ambitions addressed) assigned multidisciplinary team. The executed research shows that mainly addressed permit process technologies check compliance design proposals against regulations, followed regulations. Improvable identified entire system instead e.g. involvement officers, scalability solutions interoperability data, intended both as data validation integration geospatial with models.

Language: Английский

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Multi-domain indoor environmental quality in buildings: A review of their interaction and combined effects on occupant satisfaction

Building and Environment, Journal Year: 2022, Volume and Issue: 228, P. 109844 - 109844

Published: Nov. 25, 2022

Language: Английский

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Personal thermal comfort models based on physiological measurements – A design of experiments based review

Building and Environment, Journal Year: 2022, Volume and Issue: 228, P. 109919 - 109919

Published: Dec. 13, 2022

Language: Английский

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Digital twin-enabled prefabrication supply chain for smart construction and carbon emissions evaluation in building projects

Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 78, P. 107598 - 107598

Published: Aug. 23, 2023

Language: Английский

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Human thermal comfort in non-uniform thermal environments: A review

Energy and Built Environment, Journal Year: 2023, Volume and Issue: 5(6), P. 853 - 862

Published: July 1, 2023

Thermal comfort is critical for ensuring the health and productivity of occupants knowing their thermal demand could help creating a satisfying environment with least energy waste. Theory built based on experimental studies in uniform stable environments, while there still gap when applying evaluating human non-uniform environments. Therefore, an insight into environments taken. The fundamental are explicated, including theory applied types corresponding studies, physiological psychological responses Besides, evaluation indices classified according to definitions models reviewed. Finally, future works this research field discussed. In general, overall local should be both taken account where skin temperatures different among body segments. Moreover, as mainly conducted thermally neutral condition, limits considering state deviating neutrality (slightly warm or cool), which frequently found reality, encouraged studied. well-defined comprehensive index proposed heat exchange microenvironments thus range provided designing

Language: Английский

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The effect of landscape configuration on outdoor thermal environment: A case of urban Plaza in Xi'an, China

Building and Environment, Journal Year: 2023, Volume and Issue: 231, P. 110027 - 110027

Published: Jan. 20, 2023

Language: Английский

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A comprehensive review of impact assessment of indoor thermal environment on work and cognitive performance - Combined physiological measurements and machine learning

Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 71, P. 106417 - 106417

Published: March 31, 2023

Language: Английский

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A hybrid active learning framework for personal thermal comfort models

Building and Environment, Journal Year: 2023, Volume and Issue: 234, P. 110148 - 110148

Published: March 1, 2023

Personal thermal comfort models are used to predict individual-level responses inform design and control decisions of buildings achieve optimal conditioning for improved energy efficiency. However, the development data-driven requires collecting a large amount sensor-related measurements user-labelled data (i.e., user feedback) accurate predictions, which can be highly intrusive labour intensive in real-world applications. In this work, we propose hybrid active learning framework reduce collection costs developing data-efficient robust personal that users' air movement preferences. Through proposed framework, evaluated performance two algorithms Uncertainty Sampling Query-by-Committee) labelling strategies (Independent Joint Labelling strategies) reduction effort modelling. The effectiveness was demonstrated on dataset involving 58 participants collected over 10 working days with 2,727 under 16 conditions. final results showed 46% 35% preference models, respectively, increasing reductions occurring time when encountering new users. insights gained study, future studies adopt as viable effective solution address high cost while maintaining model's scalability predictive performance.

Language: Английский

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