Assessing the Impact of Recycled Building Materials on Environmental Sustainability and Energy Efficiency: A Comprehensive Framework for Reducing Greenhouse Gas Emissions

Buildings, Год журнала: 2024, Номер 14(6), С. 1566 - 1566

Опубликована: Май 28, 2024

In this study, we critically examine the potential of recycled construction materials, focusing on how these materials can significantly reduce greenhouse gas (GHG) emissions and energy usage in sector. By adopting an integrated approach that combines Life Cycle Assessment (LCA) Material Flow Analysis (MFA) within circular economy framework, thoroughly lifecycle environmental performance materials. Our findings reveal a promising future where incorporating lower GHG conserve energy. This underscores their crucial role advancing sustainable practices. Moreover, our study emphasizes need for robust regulatory frameworks technological innovations to enhance adoption environmentally responsible We encourage policymakers, industry stakeholders, academic community collaborate promote strategy building research contributes ongoing discussion construction, offering evidence-based insights inform policies initiatives improve stewardship industry. aligns with European Union’s objectives achieving climate-neutral cities by 2030 United Nations’ Sustainable Development Goals outlined completion 2030. Overall, paper dialogue providing fact-driven basis policy

Язык: Английский

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Balancing sustainability and circular justice: the challenge of the energy transition

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 144942 - 144942

Опубликована: Фев. 1, 2025

Язык: Английский

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Industrial Robotics, Resource Efficiency, Energy Transition, and Environmental Quality: Designing a Sustainable Development Goals Framework for G7 Countries in the Presence of Geopolitical Risk

Sustainability, Год журнала: 2025, Номер 17(5), С. 1960 - 1960

Опубликована: Фев. 25, 2025

In recent years, the integration of industrial robotics has emerged as a powerful tool in reshaping industries by enhancing production efficiency, reducing waste generation, and optimizing resource utilization. However, robotics, particularly manufacturing production, require significant energy that can potentially impact on environmental quality. Despite growing adoption artificial intelligence (AI)-based there is paucity literature ecological footprint (EF), context advanced economies. this context, study aims to investigate transition, geopolitical risk EF G7 countries from 1993 2021. The employed econometric techniques, including Kernel-based Regularized Least Squares (KRLS) Artificial Neural Network (ANN) machine learning methods. results unveiled significantly curtail degradation impeding EF. Resource efficiency transition posed negative Geopolitical risks economic growth exacerbate Based results, proposes important policy implications for achieving sustainable development.

Язык: Английский

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Unveiling the dynamics of agriculture greenhouse gas emissions: The role of energy consumptions and natural resources

Applied Energy, Год журнала: 2024, Номер 379, С. 124946 - 124946

Опубликована: Ноя. 22, 2024

Язык: Английский

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