Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review

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

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Artificial intelligence-based solutions for climate change: a review

Environmental Chemistry Letters, Год журнала: 2023, Номер 21(5), С. 2525 - 2557

Опубликована: Июнь 13, 2023

Abstract Climate change is a major threat already causing system damage to urban and natural systems, inducing global economic losses of over $500 billion. These issues may be partly solved by artificial intelligence because integrates internet resources make prompt suggestions based on accurate climate predictions. Here we review recent research applications in mitigating the adverse effects change, with focus energy efficiency, carbon sequestration storage, weather renewable forecasting, grid management, building design, transportation, precision agriculture, industrial processes, reducing deforestation, resilient cities. We found that enhancing efficiency can significantly contribute impact change. Smart manufacturing reduce consumption, waste, emissions 30–50% and, particular, consumption buildings 30–50%. About 70% gas industry utilizes technologies enhance accuracy reliability forecasts. Combining smart grids optimize power thereby electricity bills 10–20%. Intelligent transportation systems dioxide approximately 60%. Moreover, management design cities through application further promote sustainability.

Язык: Английский

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Greening smart cities: An investigation of the integration of urban natural resources and smart city technologies for promoting environmental sustainability

Sustainable Cities and Society, Год журнала: 2023, Номер 99, С. 104985 - 104985

Опубликована: Окт. 5, 2023

Язык: Английский

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Membrane Technology for Energy Saving: Principles, Techniques, Applications, Challenges, and Prospects

Advanced Energy and Sustainability Research, Год журнала: 2024, Номер 5(5)

Опубликована: Фев. 19, 2024

Membrane technology emerges as a transformative solution for global challenges, excelling in water treatment, gas purification, and waste recycling. This comprehensive review navigates the principles, advantages, prospects of membrane technology, emphasizing its pivotal role addressing contemporary environmental sustainability issues. The goal is to contribute objectives by exploring mechanisms, limitations technology. Noteworthy features include energy efficiency, selectivity, minimal footprint, distinguishing it from conventional methods. Advances nanomembranes, organic porous membranes, metal‐organic frameworks‐based membranes highlight their potential energy‐efficient contaminant removal. underscores integration renewable sources eco‐friendly desalination separation processes. future trajectory unfolds with next‐gen nanocomposite sustainable polymers, optimized consumption through electrochemical hybrid approaches. In healthcare, reshapes exchange, hemodialysis, biosensors, wound healing, drug delivery, while chemical industries, streamlines solvent separation. Challenges like fouling, material stability, efficiency are acknowledged, artificial intelligence recognized progressing frontier. Despite limitations, holds promise revolutionizing diverse industries.

Язык: Английский

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Smart waste management: A paradigm shift enabled by artificial intelligence

Waste Management Bulletin, Год журнала: 2024, Номер 2(2), С. 244 - 263

Опубликована: Май 9, 2024

Waste management poses a pressing global challenge, necessitating innovative solutions for resource optimization and sustainability. Traditional practices often prove insufficient in addressing the escalating volume of waste its environmental impact. However, advent Artificial Intelligence (AI) technologies offers promising avenues tackling complexities systems. This review provides comprehensive examination AI's role management, encompassing collection, sorting, recycling, monitoring. It delineates potential benefits challenges associated with each application while emphasizing imperative improved data quality, privacy measures, cost-effectiveness, ethical considerations. Furthermore, future prospects AI integration Internet Things (IoT), advancements machine learning, importance collaborative frameworks policy initiatives were discussed. In conclusion, holds significant promise enhancing practices, such as concerns, cost implications is paramount. Through concerted efforts ongoing research endeavors, transformative can be fully harnessed to drive sustainable efficient practices.

Язык: Английский

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The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review

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

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Global perspective of municipal solid waste and landfill leachate: generation, composition, eco-toxicity, and sustainable management strategies

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(16), С. 23363 - 23392

Опубликована: Март 5, 2024

Язык: Английский

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Descriptive review on conversion of waste residues into valuable bionanocomposites for a circular bioeconomy

Nano-Structures & Nano-Objects, Год журнала: 2024, Номер 39, С. 101265 - 101265

Опубликована: Авг. 2, 2024

Язык: Английский

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Sensors on Internet of Things Systems for the Sustainable Development of Smart Cities: A Systematic Literature Review

Sensors, Год журнала: 2024, Номер 24(7), С. 2074 - 2074

Опубликована: Март 24, 2024

The Internet of Things (IoT) is a critical component smart cities and key contributor to the achievement United Nations Sustainable Development Goal (UNSDG) 11: Cities Communities. IoT an infrastructure that enables devices communicate with each other over Internet, providing components for cities, such as data collection, generation, processing, analysis, application handling. IoT-based applications can promote sustainable urban development. Many studies demonstrate how improve cities’ This systematic literature review provides valuable insights into utilization in context particular focus on its implications Based analysis 73 publications, we discuss role development focusing communities, transportation, disaster management, privacy security, emerging applications. In domain, have detailed attributes sensors. addition, examined various communication technologies protocols suitable transmitting sensor-generated data. We also presented methods analyzing integrating these within layer. Finally, identify research gaps literature, highlighting areas require further investigation.

Язык: Английский

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Accurate determination of polyethylene (PE) and polypropylene (PP) content in polyolefin blends using machine learning-assisted differential scanning calorimetry (DSC) analysis

Polymer Testing, Год журнала: 2024, Номер 131, С. 108353 - 108353

Опубликована: Янв. 26, 2024

Polyethylene (PE) and polypropylene (PP) are among the most recycled polymers. However, these polymers present similar physicochemical characteristics cross-contamination between them is commonly observed, affecting quality of recyclates. With increasing demand for plastics, understanding composition materials crucial. Numerous techniques have been introduced in literature to determine plastics. An ideal technique should be accessible, cost-efficient, fast, accurate. Differential Scanning Calorimetry (DSC) emerges as a suitable since it analyzes thermal behavior compounds under controlled time temperature conditions, entitling quantitative determination each component, e.g., PE/PP blends. Nevertheless, existing predictive methods lack accuracy estimating blends from DSC analysis this blend affects its overall crystallinity. This study advances state-of-the-art regarding quantification using by implementing non-linear calibration curve correlating evolutions crystallinity with composition. Additionally, machine-learned (ML) model validated, achieving high determination, presenting an mean absolute error low 1.0 wt%. Notably, ML-assisted approach can also quantify content subcategory polymers, enhancing utility.

Язык: Английский

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