Environmental planning based on reduce, reuse, recycle and recover using artificial intelligence

Yu, Kan; Zhang, Yue; Li, Danni; Herrera‐Viedma, Enrique; Kumar, Priyan Malarvizhi

doi:10.1016/j.eiar.2020.106492

Cited by 123 publications

(46 citation statements)

References 27 publications

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“…Over the years, the international debate on protecting the planet and corporate sustainability [12,13], has emphasized the importance of closing material loops [14], pointing out the need to shift from a "take and discard" logic, typical of a linear economy [15], to a "reuse, recycle, and recover" logic, typical of the CE [16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Implementing and Monitoring Circular Business Models: An Analysis of Italian SMEs

2021

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The transition from a linear to a circular economy (CE) is at the center of the debate among institutions, enterprises, practitioners, and scholars. Small- and medium-sized enterprises (SMEs), with their high presence in the business environment, play a pivotal role in the successful implementation of CE principles. Therefore, this paper aims to understand the state of the CE among Italian SMEs, considering both their different sizes and sectors. This study investigates CE knowledge and application, strategic relevance, benefits from and barriers to the transition towards circular business models, and the use of CE-related performance indicators in management control and external reporting. Through an online survey carried out in cooperation with the Italian Confederation of Craft Trades and Small- and Medium-Sized Enterprises (CNA), we collected primary data from 623 respondents. Findings revealed the existence of cultural, technological, market and financial barriers, which have hampered the adoption of circular practices among Italian SMEs. Poor understanding of CE potential, combined with difficulty in raising public and private funds to finance the transition from linear to circular, are the greatest problems. To overcome such issues, we recommend serious intervention by public institutions, trade and consumer associations, and the higher education system to develop a climate more favorable to the CE.

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Section: Introductionmentioning

confidence: 99%

Implementing and Monitoring Circular Business Models: An Analysis of Italian SMEs

2021

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“…Finally, efficient energy distribution between buildings is realized, transforming the entire city into a sustainable and energy-saving city. According to Yu and Zhang (2021) [57], the principle of reduce, reuse, and recycle (3Rs) refers to actively participating in the design, construction and operation of intelligent buildings; therefore, they are more likely to be green. Intelligent buildings necessitate more computing power because they contain many complex heterogeneous subsystems.…”

Section: The Intelligence Of Green Buildingmentioning

confidence: 99%

Digital Twins for Intelligent Green Buildings

Yang

Wang

2022

Buildings

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

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“…By combining machine learning and graph theory, the system enhances waste-collecting over a short distance. Furthermore, AI design technology can be supported through various approaches that can be adapted to specific interest groups, collecting their data and increasing ecological planning and urban management production, precision, and efficiency [65]. Enevo has already developed recycling systems and innovative waste treatment technologies with the Enevo One software.…”

Section: Starting With Municipal Waste To Textile Trash In Applied Iotmentioning

confidence: 99%

“…ing ecological planning and urban management production, precision, and efficiency [65]. Enevo has already developed recycling systems and innovative waste treatment technologies with the Enevo One software.…”

Section: Sorting and Identification Of Textile Wastementioning

confidence: 99%

Possibility Routes for Textile Recycling Technology

et al. 2021

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

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Environmental planning based on reduce, reuse, recycle and recover using artificial intelligence

Cited by 123 publications

References 27 publications

Implementing and Monitoring Circular Business Models: An Analysis of Italian SMEs

Implementing and Monitoring Circular Business Models: An Analysis of Italian SMEs

Digital Twins for Intelligent Green Buildings

Possibility Routes for Textile Recycling Technology

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