Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings

Energy and Buildings, Journal Year: 2023, Volume and Issue: 297, P. 113436 - 113436

Published: Aug. 9, 2023

Language: Английский

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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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Computer vision to advance the sensing and control of built environment towards occupant-centric sustainable development: A critical review

Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 192, P. 114165 - 114165

Published: Dec. 23, 2023

Language: Английский

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YOLO and Faster R-CNN object detection for smart Industry 4.0 and Industry 5.0: applications, challenges, and opportunities

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The rise of Industry 4.0 and the emerging paradigm 5.0 have driven unprecedented technological progress in various fields. Central to this transformation are real-time object detection technologies, notably You Only Look Once (YOLO) Faster Region Convolutional Neural Network (Faster R-CNN) algorithms. This study thoroughly examines applications, challenges, prospects YOLO R-CNN diverse industrial domains. In realm automation, these algorithms redefined efficiency safety standards by enabling rapid precise recognition, thus enhancing overall production workflows. Furthermore, construction industry has experienced significant advancements project management site safety, thanks accurate identification materials equipment. healthcare, revolutionized patient care facilitating medical instruments anomalies, thereby improving diagnostics treatment processes. integration into autonomous vehicles substantially enhanced their capabilities, ensuring superior road navigation. Additionally, precision agriculture, streamlined crop management, leading increased agricultural productivity sustainability. Moreover, retail e-commerce sectors undergone a shift with personalized customer experiences efficient inventory all powered technologies. Despite remarkable advancements, paper explores challenges such as data privacy concerns, computational complexity, ethical considerations. Addressing opens unique avenues for further research innovation. Lastly, environmental monitoring also benefited from algorithms, tracking analysis changes informed decision-making towards sustainable future. illuminates transformative potential detection, paving way ongoing upcoming 5.0. These technologies shaping smarter, more connected, future across sectors.

Language: Английский

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AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings

Energies, Journal Year: 2024, Volume and Issue: 17(17), P. 4277 - 4277

Published: Aug. 27, 2024

Despite the tightening of energy performance standards for buildings in various countries and increased use efficient renewable technologies, it is clear that sector needs to change more rapidly meet Net Zero Emissions (NZE) scenario by 2050. One problems have been analyzed intensively recent years operation much than they were designed to. This problem, known as gap, found many often attributed poor management building systems. The application Artificial Intelligence (AI) Building Energy Management Systems (BEMS) has untapped potential address this problem lead sustainable buildings. paper reviews different AI-based models proposed applications with intention reduce consumption. It compares evaluated reviewed papers presenting accuracy error rates model identifies where greatest savings could be achieved, what extent. review showed offices (up 37%) when employ AI HVAC control optimization. In residential educational buildings, lower intelligence existing BEMS results smaller 23% 21%, respectively).

Language: Английский

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Perceived air quality (PAQ) assessment methods in office buildings: a systematic review towards an indoor smellscape approach

Building and Environment, Journal Year: 2024, Volume and Issue: 258, P. 111645 - 111645

Published: May 14, 2024

Indoor air quality (IAQ) has significant impacts on office occupants' productivity, well-being and health. Addressing IAQ not only means ensuring that contaminants are below harmful concentration but also people exposed satisfied. However, current standards often lack clear metrics thresholds dedicated to Perceived Air Quality (PAQ). Therefore, it is important examine whether there a prevalent method in the literature could lead towards standardization. This review study constitutes first comprehensive critical exploration of subject. Adopting PRISMA (Preferred Reporting Items for Systematic Reviews Meta-Analyses) guidelines, objective synthesize compare diverse methods (subjective vs instrumental evaluations; object judgment; component perception; rating scales) assessing PAQ buildings, based insights from 93 field laboratory studies. Results show assessment predominantly relies questionnaires (90%), with very smaller percentage using alternative such as olfactory indices, diaries, interviews, sensory testing, text mining techniques. Workers' satisfaction most commonly evaluated aspect questionnaires, measured 7-point Likert scale. Odours typically characterized terms intensity by utilizing continuous 6-point unidirectional Olfactory stimuli usually considered negative connotation, being absence odour target design. The present proposes future research agenda introduces importance perceptual approach evaluate indoor environments (or smellscapes), aiming create working spaces odour-neutral olfactorily pleasant.

Language: Английский

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Synchronizing Object Detection: Applications, Advancements and Existing Challenges

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 54129 - 54167

Published: Jan. 1, 2024

From pivotal roles in autonomous vehicles, healthcare diagnostics, and surveillance systems to seamlessly integrating with augmented reality, object detection algorithms stand as the cornerstone unraveling complexities of visual world. Tracing trajectory from conventional region-based methods latest neural network architectures reveals a technological renaissance where metamorphose into digital artisans. However, this journey is not without hurdles, prompting researchers grapple real-time detection, robustness varied environments, interpretability amidst intricacies deep learning. The allure addressing issues such occlusions, scale variations, fine-grained categorization propels exploration uncharted territories, beckoning scholarly community contribute an ongoing saga innovation discovery. This research offers comprehensive panorama, encapsulating applications reshaping our advancements pushing boundaries perception, open extending invitation next generation visionaries explore frontiers within detection.

Language: Английский

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A real-time intelligent monitoring method for indoor evacuee distribution based on deep learning and spatial division

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 92, P. 109764 - 109764

Published: May 25, 2024

Language: Английский

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Concept and ventilation performance demonstration of graded ventilation

Building and Environment, Journal Year: 2024, Volume and Issue: 256, P. 111477 - 111477

Published: April 2, 2024

Language: Английский

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Ventilation performance index fully considering effects of ventilation air parameters on thermal comfort: Effective Draft – Moisture Temperature

Energy and Buildings, Journal Year: 2024, Volume and Issue: 308, P. 114037 - 114037

Published: Feb. 25, 2024

Language: Английский

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