Green AI for Sustainability: Leveraging Machine Learning to Drive a Circular Economy DOI Open Access
Ahmed Hussein Ali

Deleted Journal, Journal Year: 2023, Volume and Issue: 2023, P. 15 - 16

Published: April 8, 2023

As artificial intelligence continues its relentless march towards advancing capability, there is surprisingly little discussion around responsibility. The data centers underpinning AI research devour massive amounts of energy and contribute substantially to emissions. But what if could flip the script help curb emissions instead? An emerging field known as Green provides solutions by building economic environmental sustainability directly into systems. In a paper published this week, researchers set out an innovative framework for leveraging machine learning accelerate transition circular economy. This model moves away from traditional linear take-make-dispose economy one where products, parts, materials can be reused, remanufactured, recycled in closed loops. automation will provide optimization backbone make such closed-loop supply chains efficient cost-effective.

Language: Английский

Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review DOI Creative Commons

Massimo Regona,

Tan Yiğitcanlar, Bo Xia

et al.

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2022, Volume and Issue: 8(1), P. 45 - 45

Published: March 1, 2022

Artificial intelligence (AI) is a powerful technology with range of capabilities, which are beginning to become apparent in all industries nowadays. The increased popularity AI the construction industry, however, rather limited comparison other industry sectors. Moreover, despite being hot topic built environment research, there review studies that investigate reasons for low-level adoption industry. This study aims reduce this gap by identifying challenges AI, along opportunities offered, To achieve aim, adopts systematic literature approach using PRISMA protocol. In addition, focuses on planning, design, and stages project lifecycle. results reveal (a) particularly beneficial planning stage as success projects depends accurate events, risks, cost forecasting; (b) major opportunity adopting time spent repetitive tasks big data analytics improving work processes; (c) biggest challenge incorporate site fragmented nature has resulted issues acquisition retention. findings inform parties operate concerning adaptability help increase market acceptance practices.

Language: Английский

Citations

299
RETRACTED ARTICLE: Recent advances in green technology and Industrial Revolution 4.0 for a sustainable future DOI Open Access

Pragya Bradu,

Antara Biswas,

Chandralekha Nair

et al.

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 30(60), P. 124488 - 124519

Published: April 9, 2022

Language: Английский

Citations

227
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

222
Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review DOI
Lynda Andeobu, Santoso Wibowo, Srimannarayana Grandhi

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 834, P. 155389 - 155389

Published: April 20, 2022

Language: Английский

Citations

123
Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review DOI Creative Commons
Simon Elias Bibri, Alexandre Alahi, Ayyoob Sharifi

et al.

Energy Informatics, Journal Year: 2023, Volume and Issue: 6(1)

Published: April 5, 2023

There have recently been intensive efforts aimed at addressing the challenges of environmental degradation and climate change through applied innovative solutions AI, IoT, Big Data. Given synergistic potential these advanced technologies, their convergence is being embraced leveraged by smart cities in an attempt to make progress toward reaching targets sustainable development goals under what has termed "environmentally cities." This new paradigm urbanism represents a significant research gap itself. To fill this gap, study explores key trends driving factors environmentally maps thematic evolution. Further, it examines fragmentation, amalgamation, transition underlying models as well converging Data technologies solutions. It employs combines bibliometric analysis evidence synthesis methods. A total 2,574 documents were collected from Web Science database compartmentalized into three sub-periods: 1991-2015, 2016-2019, 2020-2021. The results show that are rapidly growing trend markedly escalated during second third periods-due acceleration digitalization decarbonization agendas-thanks COVID-19 rapid advancement data-driven technologies. also reveals that, while overall priority topics dynamic over time-some AI techniques sustainability areas received more attention than others. synthesized indicates increasing criticism fragmentation cities, widespread diffusion SDGs agenda, dominance ICT significantly impacted materialization thereby influencing landscape dynamics cities. suggests provides approaches tackling sustainability. However, involve costs pose ethical risks regulatory conundrums. findings can inform scholars practitioners emerging technology assist policymakers designing implementing responsive policies.

Language: Английский

Citations

116
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

95
Using Artificial Intelligence to Tackle Food Waste and Enhance the Circular Economy: Maximising Resource Efficiency and Minimising Environmental Impact: A Review DOI Open Access
Helen Onyeaka, Phemelo Tamasiga, Uju Mary Nwauzoma

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(13), P. 10482 - 10482

Published: July 3, 2023

Food waste is a global issue with significant economic, social, and environmental impacts. Addressing this problem requires multifaceted approach; one promising avenue using artificial intelligence (AI) technologies. This article explores the potential for AI to tackle food enhance circular economy discusses current state of economy, highlighting specific ways that can be used monitor optimise production supply chains, redistribute excess those in need, support initiatives. As result, we maximise resource efficiency minimise impact these applications, ultimately creating more sustainable equitable system.

Language: Английский

Citations

95
Artificial intelligence in local government services: Public perceptions from Australia and Hong Kong DOI
Tan Yiğitcanlar, Rita Yi Man Li, Prithvi Bhat Beeramoole

et al.

Government Information Quarterly, Journal Year: 2023, Volume and Issue: 40(3), P. 101833 - 101833

Published: May 11, 2023

Language: Английский

Citations

74
Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review DOI Creative Commons
Wadim Striełkowski, Andrey Vlasov, Kirill Selivanov

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(10), P. 4025 - 4025

Published: May 11, 2023

The use of machine learning and data-driven methods for predictive analysis power systems offers the potential to accurately predict manage behavior these by utilizing large volumes data generated from various sources. These have gained significant attention in recent years due their ability handle amounts make accurate predictions. importance particular momentum with transformation that traditional system underwent as they are morphing into smart grids future. transition towards embed high-renewables electricity is challenging, generation renewable sources intermittent fluctuates weather conditions. This facilitated Internet Energy (IoE) refers integration advanced digital technologies such Things (IoT), blockchain, artificial intelligence (AI) systems. It has been further enhanced digitalization caused COVID-19 pandemic also affected energy sector. Our review paper explores prospects challenges using provides an overview ways which constructing can be applied order them more efficient. begins description role operations. Next, discusses systems, including benefits limitations. In addition, reviews existing literature on this topic highlights used Furthermore, it identifies opportunities associated methods, quality availability, discussed. Finally, concludes a discussion recommendations research application future grid-driven powered IoE.

Language: Английский

Citations

59
Artificial intelligence and sustainable development goals: Systematic literature review of the construction industry DOI Creative Commons

Massimo Regona,

Tan Yiğitcanlar, Carol K.H. Hon

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105499 - 105499

Published: May 4, 2024

While acknowledging the widespread recognition of artificial intelligence's (AI) potential in achieving sustainable development, there remains a notable deficiency and thorough examination its specific applications, impacts, challenges, particularly within construction industry. A comprehensive investigation is critical to explore understand multifaceted applications AI fostering sustainability across all phases project. This paper aims examine how can be effectively integrated key project phases—i.e., planning, design, construction, operation maintenance, through systematic literature review map their adoption best practices. The findings revealed: (a) Sustainable development goals (SDGs) pertinent industry—i.e., SDGs 6-9,11-13,15,17; (b) that show highest promote 7,9,11; (c) Within spectrum these goals, potentially transform industry contribute consideration processes more efficient resilient ways; (d) Ethical considerations, data privacy security concerns must addressed, along with an urgent need for specialised training maintenance systems; (e) Careful implementation management essential harness full potential, while addressing challenges sector.

Language: Английский

Citations

56