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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Pathway to Sustainability: An Overview of Renewable Energy Integration in Building Systems

Sustainability, Journal Year: 2024, Volume and Issue: 16(2), P. 638 - 638

Published: Jan. 11, 2024

Decarbonizing the building sector is crucial for mitigating climate change, reducing carbon emissions, and achieving an energy production–consumption balance. This research aims to identify key design principles strategies enhance savings analyze integration potential of renewable sources (RES) such as solar, wind, geothermal, biomass, providing in-depth technical exploration evaluating current developments. Moreover, study also examines recent developments, explicitly focusing on integrating hybrid systems, storage solutions, AI-based technological innovations. Through comprehensive analysis critical evaluation, this provides valuable insights practical recommendations sustainability advancing transition towards a low-carbon built environment.

Language: Английский

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Automatic fruit picking technology: a comprehensive review of research advances

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(3)

Published: Feb. 14, 2024

Abstract In recent years, the fruit industry has become an important part of agricultural development, and harvesting is a key stage in production process. However, picking fruits during harvest season always major challenge. order to solve challenges time-consuming, costly, inefficient picking, researchers have conducted lot studies on automatic equipment. Existing technologies still require further research development improve efficiency reduce damage. Aiming at efficient non-destructive fruits, this paper reviews machine vision mechanical technology current status, including application equipment structure, working principle, process, experimental results. As promising tool, been widely researched applied due its low hardware cost rich visual information. With science technology, automated integrates information perception, transmission, control, operation, etc., saves manpower costs, continuously promotes modern agriculture direction refinement automation, intelligence. Finally, faced by are discussed, future looked forward with view contributing sustainable development.

Language: Английский

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Advances in emerging digital technologies for energy efficiency and energy integration in smart cities

Energy and Buildings, Journal Year: 2024, Volume and Issue: 315, P. 114289 - 114289

Published: May 17, 2024

Language: Английский

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Climate-adaptive resilience in district buildings and cross-regional energy sharing in Guangzhou-Shenzhen-Hong Kong Greater Bay Area

Energy and Buildings, Journal Year: 2024, Volume and Issue: 308, P. 114004 - 114004

Published: Feb. 24, 2024

Language: Английский

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Quantifying dynamic solar gains in buildings: Measurement, simulation and data-driven modelling

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 212, P. 115221 - 115221

Published: Jan. 25, 2025

Language: Английский

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Waste-to-energy (W2E) for renewable-battery-FCEV-building multi-energy systems with combined thermal/power, absorption chiller and demand-side flexibility in subtropical climates

Energy and Buildings, Journal Year: 2024, Volume and Issue: 307, P. 113949 - 113949

Published: Jan. 27, 2024

Language: Английский

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Enabling scalable Model Predictive Control design for building HVAC systems using semantic data modelling

Automation in Construction, Journal Year: 2025, Volume and Issue: 170, P. 105929 - 105929

Published: Jan. 5, 2025

Language: Английский

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Reinforcement Learning for Control and Optimization of Real Buildings: Identifying and Addressing Implementation Hurdles

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112283 - 112283

Published: March 1, 2025

Language: Английский

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Applications and Trends of Machine Learning in Building Energy Optimization: A Bibliometric Analysis

Buildings, Journal Year: 2025, Volume and Issue: 15(7), P. 994 - 994

Published: March 21, 2025

With the rapid advancement of machine learning (ML) technologies, their innovative applications in enhancing building energy efficiency are increasingly prominent. Utilizing tools such as VOSviewer and Bibliometrix, this study systematically reviews body related literature, focusing on key emerging trends cutting-edge ML techniques, including deep learning, reinforcement unsupervised optimizing performance managing carbon emissions. First, paper delves into role prediction, intelligent management, sustainable design, with particular emphasis how smart systems leverage real-time data analysis prediction to optimize usage significantly reduce emissions dynamically. Second, summarizes technological evolution future sector identifies critical challenges faced by field. The findings provide a technology-driven perspective for advancing sustainability construction industry offer valuable insights research directions.

Language: Английский

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