Next-generation reverse logistics networks of photovoltaic recycling: Perspectives and challenges DOI

Eleftherios Iakovou,

Efstratios N. Pistikopoulos, Julien Walzberg

et al.

Solar Energy, Journal Year: 2024, Volume and Issue: 271, P. 112329 - 112329

Published: March 1, 2024

Language: Английский

Artificial intelligence for waste management in smart cities: a review DOI Creative Commons

Bingbing Fang,

Jiacheng Yu,

Zhonghao Chen

et al.

Environmental Chemistry Letters, Journal Year: 2023, Volume and Issue: 21(4), P. 1959 - 1989

Published: May 9, 2023

Abstract The rising amount of waste generated worldwide is inducing issues pollution, management, and recycling, calling for new strategies to improve the ecosystem, such as use artificial intelligence. Here, we review application intelligence in waste-to-energy, smart bins, waste-sorting robots, generation models, monitoring tracking, plastic pyrolysis, distinguishing fossil modern materials, logistics, disposal, illegal dumping, resource recovery, cities, process efficiency, cost savings, improving public health. Using logistics can reduce transportation distance by up 36.8%, savings 13.35%, time 28.22%. Artificial allows identifying sorting with an accuracy ranging from 72.8 99.95%. combined chemical analysis improves carbon emission estimation, energy conversion. We also explain how efficiency be increased costs reduced management systems cities.

Language: Английский

Citations

210

Role of natural resources utilization efficiency in achieving green economic recovery: Evidence from BRICS countries DOI
Zhao Lin-hai, Ehsan Rasoulinezhad

Resources Policy, Journal Year: 2022, Volume and Issue: 80, P. 103164 - 103164

Published: Nov. 30, 2022

Language: Английский

Citations

197

Sorting, regrouping, and echelon utilization of the large-scale retired lithium batteries: A critical review DOI
Xin Lai, Yunfeng Huang, Cong Deng

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2021, Volume and Issue: 146, P. 111162 - 111162

Published: April 30, 2021

Language: Английский

Citations

176

Possibility Routes for Textile Recycling Technology DOI Open Access
Damayanti Damayanti, Latasya Adelia Wulandari, Adhanto Bagaskoro

et al.

Polymers, Journal Year: 2021, Volume and Issue: 13(21), P. 3834 - 3834

Published: Nov. 6, 2021

The fashion industry contributes to a significant environmental issue due the increasing production and needs of industry. proactive efforts toward developing more sustainable process via textile recycling has become preferable solution. This urgent important need develop cheap efficient methods for waste led research community’s development various methods. can be categorized into chemical mechanical paper provides an overview state art regarding different types technologies along with their current challenges limitations. critical parameters determining performance are summarized discussed focus on in (pyrolysis, enzymatic hydrolysis, hydrothermal, ammonolysis, glycolysis). Textile been demonstrated re-spun yarn (re-woven or knitted) by spinning carded mixed shoddy through recycling. On other hand, it is difficult recycle some textiles means hydrolysis; high product yield shown under mild temperatures. Furthermore, emergence existing technology such as internet things (IoT) being implemented enable sorting identification also discussed. Moreover, we provide outlook upcoming technological developments that will contribute facilitating circular economy, allowing process.

Language: Английский

Citations

122

A review of artificial intelligence in water purification and wastewater treatment: Recent advancements DOI

Soma Safeer,

Ravi P. Pandey, Bushra Rehman

et al.

Journal of Water Process Engineering, Journal Year: 2022, Volume and Issue: 49, P. 102974 - 102974

Published: July 8, 2022

Language: Английский

Citations

116

Opportunities and challenges for solid waste reuse and recycling in emerging economies: A hybrid analysis DOI
Tat‐Dat Bui, Jiun‐Wei Tseng, Ming‐Lang Tseng

et al.

Resources Conservation and Recycling, Journal Year: 2021, Volume and Issue: 177, P. 105968 - 105968

Published: Oct. 21, 2021

Language: Английский

Citations

113

Digital Twins for Intelligent Green Buildings DOI Creative Commons

Bin Yang,

Zhihan Lv,

Faming Wang

et al.

Buildings, Journal Year: 2022, Volume and Issue: 12(6), P. 856 - 856

Published: June 19, 2022

At present, the integration of green building, intelligent building industry and high-quality development are facing a series new opportunities challenges. This review aims to analyze digital smart buildings make it easier create contiguous ecological areas in cities. It sorts out main contents Intelligent Green Buildings (IGB) summarizes application role Digital Twins (DTs) buildings. Firstly, basic connotations direction IGB deeply discussed, current realization applications analyzed. Then, advantages DTs further investigated context for DT Finally, trends challenges After research, is found that have been implemented, but remains not quite integrated into design IGB. Therefore, forward-looking required when designing IGBs, such as prioritizing sustainable development, people’s livelihoods structures. same time, an can only show its significance after process layer performed correctly. this contributes proper urban strategies, which crucial encouraging long-term cities, thus providing theoretical basis practical experience promoting

Language: Английский

Citations

93

Concepts of circular economy for sustainable management of electronic wastes: challenges and management options DOI Open Access
Arun Lal Srivastav,

Markandeya Tiwari,

Naveen Patel

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(17), P. 48654 - 48675

Published: Feb. 28, 2023

Language: Английский

Citations

85

Artificial intelligence for carbon emissions using system of systems theory DOI
Loveleen Gaur, Anam Afaq, Gursimar Kaur Arora

et al.

Ecological Informatics, Journal Year: 2023, Volume and Issue: 76, P. 102165 - 102165

Published: June 9, 2023

Language: Английский

Citations

70

Smart waste management: A paradigm shift enabled by artificial intelligence DOI Creative Commons
David B. Olawade, Oluwaseun Fapohunda, Ojima Z. Wada

et al.

Waste Management Bulletin, Journal Year: 2024, Volume and Issue: 2(2), P. 244 - 263

Published: May 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.

Language: Английский

Citations

63