Innovations in Energy-Efficient Construction: Pioneering Sustainable Building Practices

Cleaner Engineering and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100957 - 100957

Published: March 1, 2025

Language: Английский

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A co-simulated material-component-system-district framework for climate-adaption and sustainability transition

Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 192, P. 114184 - 114184

Published: Dec. 20, 2023

Language: Английский

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Challenges and Strategies for Achieving High Energy Efficiency in Building Districts

Buildings, Journal Year: 2024, Volume and Issue: 14(6), P. 1839 - 1839

Published: June 17, 2024

Achieving climate neutrality requires reducing energy consumption and CO2 emissions in the building sector, which has prompted increasing attention towards nearly zero energy, positive communities of buildings; there is a need to determine how individual buildings up can become more efficient. This study addresses scientific problem optimizing efficiency strategies areas identifies gaps existing theories related passive design strategies, active systems, renewable integration. delineates boundaries at community scales examine challenges attaining goals emphasize intricate processes selecting, integrating, systems buildings. The four describe: (B1) flows through envelope; (B2) heating, ventilation, air conditioning systems; (B3) (B4) Current often treat these elements isolation, significant exist interdisciplinary integration, scalable frameworks, consideration behavioral socioeconomic factors. seamless integration sources, storage management systems. proposed B1–B4 help not only analyzing various for achieving high but also defining evaluating establishing fair methods distribution within them. results demonstrate that provide comprehensive framework energy-efficient designs, constructions, operational practices across multiple buildings, ensuring equitable optimized performance. In addition, definition as B1-B4 contributes providing an interface constructions

Language: Английский

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Challenges of Artificial Intelligence Development in the Context of Energy Consumption and Impact on Climate Change

Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 5965 - 5965

Published: Nov. 27, 2024

With accelerating climate change and rising global energy consumption, the application of artificial intelligence (AI) machine learning (ML) has emerged as a crucial tool for enhancing efficiency mitigating impacts change. However, their implementation dual character: on one hand, AI facilitates sustainable solutions, including optimization, renewable integration carbon reduction; other training operation large language models (LLMs) entail significant potentially undermining neutrality efforts. Key findings include an analysis 237 scientific publications from 2010 to 2024, which highlights advancements obstacles adoption across sectors, such construction, transportation, industry, households. The review showed that interest in use ML grown significantly: over 60% documents have been published last two years, with topics construction forecasting attracting most interest. Most articles are by researchers China, India, UK USA, (28–33 articles). This is more than twice number around rest world; 58% research concentrated three areas: engineering, computer science energy. In conclusion, also identifies areas further aimed at minimizing negative maximizing its contribution development, development energy-efficient architectures new methods management.

Language: Английский

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A critical assessment and summary on the low carbon energy pile technologies based on the life-cycle perspective: Challenges and prospects

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 243, P. 122605 - 122605

Published: Feb. 2, 2024

Language: Английский

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Model predictive controls for residential buildings with heat pumps: Experimentally validated archetypes to simplify the large-scale application

Energy and Buildings, Journal Year: 2024, Volume and Issue: 320, P. 114632 - 114632

Published: Aug. 3, 2024

Language: Английский

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Sustainable Smart City Technologies and Their Impact on Users’ Energy Consumption Behaviour

Energies, Journal Year: 2024, Volume and Issue: 17(4), P. 771 - 771

Published: Feb. 6, 2024

Sustainable smart cities (SSCs) target decarbonisation by optimising energy consumption through the emerging capabilities of technology. Nevertheless, behaviour end users has potential to compromise effectiveness technological interventions, reflecting importance active social engagement in realising goals. Although extensive research exists on behaviour, little is known about how technology affects it, nature these technologies, and their role SSC. The paper aims identify, categorise, investigate technologies that impact household behaviours integration into larger SSC system. Following a systematic review 60 articles from Scopus database (2013–2023), study found 45 cited, with 49% affecting efficiency 51% curtailment behaviour. While inform city administration level framework, remains unclear, suggesting technocratic approach. proposes Smart City Network facilitate grassroots approach, identifying five key domains: government policies, adoption, engagement, infrastructure, urban sustainability. provides an original contribution knowledge unveiling outlining pragmatic requirements for achieving

Language: Английский

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Enhancing low-carbon building operations leveraging demand response driven by renewable energy consumption contributions

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 95, P. 110206 - 110206

Published: July 14, 2024

Language: Английский

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Advanced Energy Performance Modelling: Case Study of an Engineering and Technology Precinct

Buildings, Journal Year: 2024, Volume and Issue: 14(6), P. 1774 - 1774

Published: June 12, 2024

The global demand for energy is significantly impacted by the consumption patterns within building sector. As such, importance of simulation and prediction growing exponentially. This research leverages Building Information Modelling (BIM) methodologies, creating a synergy between traditional software methods algorithm-driven approaches comprehensive analysis. study also proposes method monitoring select management factors, step that could potentially pave way integration digital twins in systems. grounded case newly constructed educational New South Wales, Australia. physical model was created using Autodesk Revit, conventional BIM methodology. EnergyPlus, facilitated OpenStudio, employed software-based analysis output then used to develop preliminary algorithm models regression strategies Python. In this analysis, temperature relative humidity each unit were as independent variables, with their being dependent variable. sigmoid model, known its accuracy interpretability, advanced simulation. combined sensor data real-time prediction. A basic twin (DT) example simulate dynamic control air conditioning lighting, showcasing adaptability effectiveness system. explores potential machine learning, specifically reinforcement optimizing response environmental changes usage conditions. Despite current limitations, identifies future directions. These include enhancing developing complex algorithms boost efficiency reduce costs.

Language: Английский

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Recent Advancements in Low-Energy Buildings: Integrating Bio-Phase Change Materials and Rooftop Greenery Systems.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111790 - 111790

Published: Jan. 1, 2025

Language: Английский

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