Energy, Год журнала: 2024, Номер 311, С. 133404 - 133404
Опубликована: Окт. 10, 2024
Язык: Английский
Environmental Science and Ecotechnology, Год журнала: 2023, Номер 19, С. 100330 - 100330
Опубликована: Окт. 19, 2023
The recent advancements made in the realms of Artificial Intelligence (AI) and Things (AIoT) have unveiled transformative prospects opportunities to enhance optimize environmental performance efficiency smart cities. These strides have, turn, impacted eco-cities, catalyzing ongoing improvements driving solutions address complex challenges. This aligns with visionary concept smarter an emerging paradigm urbanism characterized by seamless integration advanced technologies strategies. However, there remains a significant gap thoroughly understanding this new intricate spectrum its multifaceted underlying dimensions. To bridge gap, study provides comprehensive systematic review burgeoning landscape eco-cities their leading-edge AI AIoT for sustainability. ensure thoroughness, employs unified evidence synthesis framework integrating aggregative, configurative, narrative approaches. At core lie these subsequent research inquiries: What are foundational underpinnings how do they intricately interrelate, particularly paradigms, solutions, data-driven technologies? key drivers enablers propelling materialization eco-cities? primary that can be harnessed development In what ways contribute fostering sustainability practices, potential benefits offer challenges barriers arise implementation findings significantly deepen broaden our both sustainable urban as well formidable nature pose. Beyond theoretical enrichment, invaluable insights perspectives poised empower policymakers, practitioners, researchers advance eco-urbanism AI- AIoT-driven urbanism. Through insightful exploration contemporary identification successfully applied stakeholders gain necessary groundwork making well-informed decisions, implementing effective strategies, designing policies prioritize well-being.
Язык: Английский
Процитировано
276
Developments in the Built Environment, Год журнала: 2023, Номер 16, С. 100255 - 100255
Опубликована: Окт. 18, 2023
To reduce the carbon footprint of traditional concrete materials, natural fiber is vital. This study systematically analyzed 196 peer-reviewed papers using literature review method to understand fresh properties, mechanical durability, thermal conductivity, sound absorption sustainability, applications, barriers, and opportunities for concrete. The findings indicate that reduces cracking rate, increasing tensile strength. Although fibers enhance stress distribution within concrete, its stability, they compressive Additionally, 85.7% concretes exhibit considerable environmental benefits; however, 28.6% 43% reviewed studies effective economic social respectively. Moreover, this demonstrates following potential utilization: 60% in road pavements 30% residential buildings. However, still predominantly utilized laboratory stage. perspective noteworthy: summarizes barriers impede application develops relevant recommendations.
Язык: Английский
Процитировано
83
Environmental Chemistry Letters, Год журнала: 2024, Номер 22(2), С. 715 - 750
Опубликована: Янв. 29, 2024
Abstract Traditional building materials have some drawbacks in the construction industry, particularly terms of greenhouse gas emissions and energy consumption. Biomaterials derived from renewable sources are a promising alternative, significantly reducing effect enhancing efficiency. However, traditional still dominate sector, there is lack understanding among policymakers developers regarding biomaterials. Here, we review biomaterials their policies life cycle assessment through case studies. Bio-based potential to reduce over 320,000 tons carbon dioxide by 2050. They also exhibit advantages like decreasing water absorption 40%, consumption 8.7%, acoustic 6.7%, improving mechanical properties. We summarize recent advancements mycelial materials, bioconcrete, natural fibers, fiber-reinforced composites. explore contributions nanotechnology microalgae technology biomaterials' thermal insulation eco-friendliness.
Язык: Английский
Процитировано
80
Environmental Chemistry Letters, Год журнала: 2023, Номер 22(2), С. 751 - 784
Опубликована: Дек. 15, 2023
Abstract The building sector is significantly contributing to climate change, pollution, and energy crises, thus requiring a rapid shift more sustainable construction practices. Here, we review the emerging practices of integrating renewable energies in sector, with focus on types, policies, innovations, perspectives. sources include solar, wind, geothermal, biomass fuels. Case studies Seattle, USA, Manama, Bahrain, are presented. Perspectives comprise self-sufficiency, microgrids, carbon neutrality, intelligent buildings, cost reduction, storage, policy support, market recognition. Incorporating wind into buildings can fulfill about 15% building's requirements, while solar integration elevate contribution 83%. Financial incentives, such as 30% subsidy for adoption technologies, augment appeal these innovations.
Язык: Английский
Процитировано
78
Nano-Structures & Nano-Objects, Год журнала: 2024, Номер 37, С. 101100 - 101100
Опубликована: Фев. 1, 2024
Язык: Английский
Процитировано
56
Artificial Intelligence in Agriculture, Год журнала: 2024, Номер 12, С. 72 - 84
Опубликована: Апрель 30, 2024
The issue of food security continues to be a prominent global concern, affecting significant number individuals who experience the adverse effects hunger and malnutrition. finding solution this intricate necessitates implementation novel paradigm-shifting methodologies in agriculture sector. In recent times, domain artificial intelligence (AI) has emerged as potent tool capable instigating profound influence on sectors. AI technologies provide advantages by optimizing crop cultivation practices, enabling use predictive modelling precision techniques, aiding efficient monitoring disease identification. Additionally, potential optimize supply chain operations, storage management, transportation systems, quality assurance processes. It also tackles problem loss waste through post-harvest reduction, analytics, smart inventory management. This study highlights that how utilizing power AI, we could transform way produce, distribute, manage food, ultimately creating more secure sustainable future for all.
Язык: Английский
Процитировано
47
Environmental Science and Ecotechnology, Год журнала: 2024, Номер 20, С. 100433 - 100433
Опубликована: Май 17, 2024
In the dynamic landscape of sustainable smart cities, emerging computational technologies and models are reshaping data-driven planning strategies, practices, approaches, paving way for attaining environmental sustainability goals. This transformative wave signals a fundamental shift — marked by synergistic operation artificial intelligence (AI), things (AIoT), urban digital twin (UDT) technologies. While previous research has largely explored AI, AIoT, UDT in isolation, significant knowledge gap exists regarding their interplay, collaborative integration, collective impact on context cities. To address this gap, study conducts comprehensive systematic review to uncover intricate interactions among these interconnected technologies, models, domains while elucidating nuanced dynamics untapped synergies complex ecosystem Central four guiding questions: What theoretical practical foundations underpin convergence UDT, planning, how can components be synthesized into novel framework? How does integrating AI AIoT reshape improve performance cities? augment capabilities enhance processes challenges barriers arise implementing what strategies devised surmount or mitigate them? Methodologically, involves rigorous analysis synthesis studies published between January 2019 December 2023, comprising an extensive body literature totaling 185 studies. The findings surpass mere interdisciplinary enrichment, offering valuable insights potential advance development practices. By enhancing processes, integrated offer innovative solutions challenges. However, endeavor is fraught with formidable complexities that require careful navigation mitigation achieve desired outcomes. serves as reference guide, spurring groundbreaking endeavors, stimulating implementations, informing strategic initiatives, shaping policy formulations sustainable, development. These have profound implications researchers, practitioners, policymakers, providing roadmap fostering resiliently designed, technologically advanced, environmentally conscious environments.
Язык: Английский
Процитировано
47
Environmental Chemistry Letters, Год журнала: 2024, Номер 22(3), С. 1115 - 1154
Опубликована: Фев. 2, 2024
Abstract The global expansion of the bioenergy industry raises concerns, emphasizing need for careful evaluation and sustainable management. To facilitate this, life cycle assessments beyond greenhouse gas emissions energy balance are essential, along with standardization assessment methodologies to enable meaningful comparisons. Here, we review assessment, chemical aspects, policy implication production. We discuss in terms concepts, methods, impacts, gases, land use, water consumption, bioethanol, biodiesel, biogas, techno-economic analysis. Chemical aspects comprise reaction processes means improve efficiency. Concerning policies, tools, frameworks that encourage production presented. found carbon dioxide removal ranges from 45 99% various processes. also emphasizes importance chemistry advancing a more secure future.
Язык: Английский
Процитировано
43
Heliyon, Год журнала: 2024, Номер 10(3), С. e25407 - e25407
Опубликована: Фев. 1, 2024
Integration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence (AI) combined with Machine Learning (ML) has introduced a new era remarkable research innovation. This review article thoroughly examines the recent advancements in field, focusing on interplay between PV systems water within framework AI ML applications, along it analyses current to identify significant patterns, obstacles, prospects this interdisciplinary field. Furthermore, incorporation methods improving performance systems. includes raising their efficiency, implementing predictive maintenance strategies, enabling real-time monitoring. It also explores transformative influence intelligent algorithms techniques, specifically addressing concerns pertaining energy usage, scalability, environmental sustainability. provides thorough analysis literature, identifying areas where is lacking suggesting potential future avenues for investigation. These have resulted increased decreased expenses, improved sustainability system. By utilizing artificial intelligence freshwater productivity can increase by 10 % efficiency. offers informative perspectives researchers, engineers, policymakers involved renewable technology. sheds light latest desalination, which are facilitated ML. The aims guide towards more sustainable technologically advanced future.
Язык: Английский
Процитировано
32
Energy Economics, Год журнала: 2024, Номер 138, С. 107829 - 107829
Опубликована: Авг. 12, 2024
Язык: Английский
Процитировано
30