Innovative approaches to green digital twin technologies of sustainable smart cities using a novel hybrid decision-making system

IF 15.6 1区 管理学 Q1 BUSINESS
Jifeng Cao , Cristi Spulbar , Serkan Eti , Alexandra Horobet , Serhat Yüksel , Hasan Dinçer
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Abstract

Digital twin technologies play a very important role in the provision of smart cities. However, it is not clear which innovative strategies should be implemented first on how to optimize digital twin technologies for sustainable smart cities. The main performance indicators should be identified to use the limited resources more efficiently and to generate more effective investment strategies. Accordingly, the purpose of this study is to generate innovative approaches to green digital twin technologies of sustainable smart cities. To achieve this issue, first, important criteria of digital twin technologies for assessing sustainable smart cities are weighted via spherical fuzzy simple weight calculation (SIWEC). The second part includes ranking innovative alternatives for green digital twin technologies by considering spherical fuzzy simple additive weighting (SAW). The main contribution of this manuscript is to identify the most effective investment strategies for the improvements of digital twin technologies to reach smart cities by establishing a novel model. The preference of the SIWEC method in the criteria weighting process provides some advantages to the model. The most important feature of this method is that the direct importance of the criterion is taken into consideration in the questions asked to the experts. In this way, it is possible for the experts to give more sensitive answers. The findings indicate that smart grid integration (weight: 0.231) is determined as the most important criterion in the development of digital twin technologies for the provision of smart cities. Circular economy (weight: 0.230) is another variable that plays an important role in the provision of smart cities. On the other hand, decentralized energy system with microgrids is found as the most important alternative for this situation. Some critical actions should be taken to improve the smart grid effectiveness. In this scope, providing renewable energy incentives has a strong influence on the improvements of these projects.
使用新型混合决策系统的可持续智慧城市绿色数字孪生技术的创新方法
数字孪生技术在智慧城市建设中发挥着非常重要的作用。然而,在如何优化数字孪生技术以实现可持续智慧城市方面,尚不清楚应该首先实施哪些创新战略。应确定主要业绩指标,以便更有效地利用有限的资源,并制订更有效的投资战略。因此,本研究的目的是为可持续智慧城市的绿色数字孪生技术提供创新方法。为了解决这一问题,首先,通过球面模糊简单权重计算(SIWEC)对用于评估可持续智慧城市的数字孪生技术的重要标准进行加权。第二部分包括通过考虑球面模糊简单加性加权(SAW)对绿色数字孪生技术的创新替代方案进行排名。本文的主要贡献是通过建立一个新的模型,确定最有效的投资策略,以改进数字孪生技术,达到智慧城市。SIWEC方法在准则加权过程中的优先性为模型提供了一些优势。该方法最重要的特点是在向专家提出问题时考虑到标准的直接重要性。这样,专家就有可能给出更敏感的答案。研究结果表明,智能电网整合(权重:0.231)被确定为发展数字孪生技术以提供智慧城市的最重要标准。循环经济(权重:0.230)是另一个在提供智慧城市方面发挥重要作用的变量。另一方面,采用微电网的分散式能源系统是解决这一问题的最重要选择。为了提高智能电网的有效性,必须采取一些关键措施。在这个范围内,提供可再生能源奖励对这些项目的改进有很大的影响。
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来源期刊
CiteScore
16.10
自引率
12.70%
发文量
118
审稿时长
37 days
期刊介绍: The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices. JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience. In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.
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