Digitalization—The Engine of Sustainability in the Energy Industry

Mihai, Florin; Aleca, Ofelia; Stanciu, Andrei; Gheorghe, Mirela; Stan, Mirela

doi:10.3390/en15062164

Cited by 14 publications

(4 citation statements)

References 40 publications

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“…In other words, based on more rigorous statistical extrapolation results, intelligent manufacturing can improve TFEE, and the H1 is verified. The results of this study are consistent with the conclusions of existing studies [79]. By comparing the fitting coefficients of the three models in column (2), column (4), and column (5), it can be found that the TWFE model with all the control variables has the maximum estimated coefficient, the TWFE model with the control of the three variables has a smaller estimated coefficient, and the fitting coefficient of the POLS is at the minimum level.…”

Section: Baseline Regressionsupporting

confidence: 90%

Impact of Intelligent Manufacturing on Total-Factor Energy Efficiency: Mechanism and Improvement Path

2023

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Intelligent technology is the core driving force of the fourth industrial revolution, which has an important impact on high-quality economic development. In this paper, the panel data of 30 provinces from 2006 to 2019 were selected to construct a regression model to conduct an empirical analysis on the role and mechanism of intelligent manufacturing in improving total factor energy efficiency. The research results show that first, the productivity effect, scale effect and resource allocation effect of intelligent manufacturing can significantly improve the energy efficiency of the total factor, and the conclusion is still established after endogenous treatment and robustness testing. Second, the results of the action mechanism show that labor price distortion and carbon emission trading policy are important mechanisms for intelligent manufacturing to improve total-factor energy efficiency. Specifically, the corrected labor price can enhance the motivation of enterprise research and development and innovation and solve the dilemma of the low-end industrial structure, thus improving the efficiency of total-factor energy efficiency. The carbon emission trading policy strengthens the willingness of enterprises to improve the process, eliminate backward equipment and increase the research and development of green technology, and it has a positive regulatory role in the process of improving total-factor energy efficiency in intelligent manufacturing.

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Section: Baseline Regressionsupporting

confidence: 90%

Impact of Intelligent Manufacturing on Total-Factor Energy Efficiency: Mechanism and Improvement Path

2023

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“…Considering that digitalization may benefit both efficiency and environmental performance [33,34], policies could be used to support the development and adoption of digitalized DH. Yet, the two views have different implications for the design of policy support for digitalization.…”

Section: Discussionmentioning

confidence: 99%

“…The latter domain represents a group of technological solutions that enable efficient remote management of resources and processes [29] and therefore accommodate new business models for both the business-to-consumer [30,31] and business-to-business [32] segments. Digitalization has been identified as a driver of efficiency in addition to sustainability in the energy sector [33,34]. As such, digitalization is expected to have far-reaching impacts on the design of value offerings and value creation [6,12].…”

Section: Business Model Innovation and Digitalizationmentioning

confidence: 99%

Business Model Innovation for Digitalization in the Swedish District Heating Sector

Williamsson

2023

Energies

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Despite decades of research and development, digitalization remains a key challenge for the Swedish district heating sector. Business model innovation is believed to be necessary to capitalize on digitalization, yet it is especially challenging for municipal companies. This study aims to identify the potential impact of digitalization on the business models of Swedish district heating companies and to analyze the barriers that exist for digital business model innovation. Through case studies of eight municipal district heating companies, this study demonstrates how the entire business model is potentially impacted by digitalization. This study also identifies the barriers to digital business model innovation that are linked to two conflicting views (restrictive versus comprehensive) on digitalization. The restrictive view diminishes the importance of business model innovation, outsourcing innovation to minimize both costs and risks for the company. In contrast, the comprehensive view embraces digital business model innovation through trial-and-error and opens the innovation process to stakeholder influence. These two perspectives are motivated by different beliefs about the need for digitalization to secure future business opportunities, as well as differences in owners’ risk appetite. The implications for industry outlooks and the design of policy support for the digitalization of district heating are discussed.

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“…The integration of digital technology in numerous daily activities has resulted in significant transformations in various aspects of life [4]. Covid-19 has accelerated the implementation of digital technologies in daily life [5]. The utilization of digitalization in manufacturing has brought about substantial alterations to the industry, creating competitive advantages for businesses [6], but has also resulted in changes of the needed skill sets and competencies of industrial engineers [7].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of process mining for a typical plant planning task

Grzona,

Weißflog

2023

Průmyslové Inženýrství 2023

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The paper gives an introduction into the field of factory planning with the specific task of the evaluation of the logistics costs for an existing system with the help of VDI-4405 and the usage of Process Mining. The actual challenges in intralogistics are shown and is explained how in a traditional manner a material flow analysis can be performed. Based on these foundations a new concept for the incorporation of Process Mining into an existing material flow analysis workflow has been elaborated with the help of an industry 4.0 data driven monitoring concept. In a case study the planning efforts for an interview and type representative material flow modelling is then compared with the efforts needed to fulfil the same task with the help of Process Mining.

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Digitalization—The Engine of Sustainability in the Energy Industry

Cited by 14 publications

References 40 publications

Impact of Intelligent Manufacturing on Total-Factor Energy Efficiency: Mechanism and Improvement Path

Impact of Intelligent Manufacturing on Total-Factor Energy Efficiency: Mechanism and Improvement Path

Business Model Innovation for Digitalization in the Swedish District Heating Sector

Evaluation of process mining for a typical plant planning task

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