Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 271 - 322
Опубликована: Янв. 1, 2025
Язык: Английский
Journal of Cleaner Production, Год журнала: 2024, Номер 447, С. 141298 - 141298
Опубликована: Фев. 15, 2024
Язык: Английский
Процитировано
145
Environmental Technology & Innovation, Год журнала: 2023, Номер 33, С. 103509 - 103509
Опубликована: Дек. 29, 2023
Nowadays the pace of production and consumption is reaching environmentally unsustainable levels. In this regard, great technological advances developed in recent years are postulated as a source opportunities to boost circular economy sustainable development. This wide range possibilities offered by new technologies create more reality has aroused curiosity interest academic world, especially years. The main objective research reveal challenges that arise when incorporating objectives economy. Regarding methodology, study been partially supported using bibliometric techniques. results highlight transformative role technologies, blockchain artificial intelligence, advancing economy, with particular emphasis on community technology integration, ethical considerations, synergies, business models, burgeoning bioeconomy. We conclude promise enhanced resource efficiency, optimized supply chains, innovative improved product lifecycle management, offering profound economic environmental benefits while fostering collaborative innovation. However, these also represent address, such integrating advanced methods, ensuring chain transparency, overcoming skill gap, avoiding data centralization, adapting regulatory frameworks foster equitable growth. These some most important areas for further research, those related development employees' capabilities adaptation frameworks, they understudied gaps.
Язык: Английский
Процитировано
83
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
Процитировано
63
Environmental Chemistry Letters, Год журнала: 2024, Номер 22(3), С. 1005 - 1071
Опубликована: Фев. 13, 2024
Abstract The excessive reliance on fossil fuels has resulted in an energy crisis, environmental pollution, and health problems, calling for alternative such as biodiesel. Here, we review computational chemistry machine learning optimizing biodiesel production from waste. This article presents techniques, characteristics, transesterification, waste materials, policies encouraging Computational techniques are applied to catalyst design deactivation, reaction reactor optimization, stability assessment, feedstock analysis, process scale-up, mechanims, molecular dynamics simulation. Waste comprise cooking oil, animal fat, vegetable algae, fish waste, municipal solid sewage sludge. oil represents about 10% of global production, restaurants alone produce over 1,000,000 m 3 annual. Microalgae produces 250 times more per acre than soybeans 7–31 palm oil. Transesterification food lipids can with a 100% yield. Sewage sludge significant biomass that contribute renewable production.
Язык: Английский
Процитировано
50
Bioresource Technology, Год журнала: 2023, Номер 388, С. 129725 - 129725
Опубликована: Сен. 7, 2023
Язык: Английский
Процитировано
43
The Science of The Total Environment, Год журнала: 2024, Номер 917, С. 170453 - 170453
Опубликована: Янв. 29, 2024
Язык: Английский
Процитировано
26
Journal of Material Cycles and Waste Management, Год журнала: 2024, Номер 26(3), С. 1264 - 1276
Опубликована: Фев. 29, 2024
Язык: Английский
Процитировано
19
Advances in bioinformatics and biomedical engineering book series, Год журнала: 2023, Номер unknown, С. 360 - 384
Опубликована: Окт. 2, 2023
Waste-to-energy (WtE) is a process that generates electricity and heat from waste treatment or processing into fuel sources. WtE can reduce greenhouse gas emissions, landfill waste, dependence on fossil fuels. However, it faces challenges such as high capital operational costs, environmental health impacts, public acceptance. Synthetic biology (SynBio) offer novel solutions for by enhancing efficiency, sustainability, diversity of biological processes. This chapter reviews the current state-of-the-art future prospects SynBio applications WtE, focusing integration IoT AI technologies. network physical devices, sensors, actuators collect, transmit, data over internet, while simulates human intelligence in machines. enable smart monitoring, control, optimization systems providing data-driven insights decision support stakeholders.
Язык: Английский
Процитировано
36
Journal Of Big Data, Год журнала: 2024, Номер 11(1)
Опубликована: Май 6, 2024
Abstract The United Nations’ 17 Sustainable Development Goals stress the importance of global and local efforts to address inequalities implement sustainability. Addressing complex, interconnected sustainability challenges requires a systematic, interdisciplinary approach, where technology, AI, data-driven methods offer potential solutions for optimizing resources, integrating different aspects sustainability, informed decision-making. Sustainability research surrounds various local, regional, challenges, emphasizing need identify emerging areas gaps AI models play crucial role. study performs comprehensive literature survey scientometric semantic analyses, categorizes problems, discusses sustainable use big data. outcomes analyses highlight collaborative inclusive that bridges regional differences, interconnection topics, major themes related It further emphasizes significance developing hybrid approaches combining techniques, expert knowledge multi-level, multi-dimensional Furthermore, recognizes necessity addressing ethical concerns ensuring data in research.
Язык: Английский
Процитировано
15
Environmental Science Advances, Год журнала: 2024, Номер 3(9), С. 1197 - 1216
Опубликована: Янв. 1, 2024
Integrating thermochemical–biochemical methods overcomes the single-path limits for bioenergy production. This synergy lowers costs and enhances energy sustainability, highlighting waste-to-energy's vital role in circular economy transition.
Язык: Английский
Процитировано
13