Business Models for Digitalization Enabled Energy Efficiency and Flexibility in Industry: A Survey with Nine Case Studies

Zhipeng Ma*, Bo Nørregaard Jørgensen*, Michelle Levesque, Mouloud Amazouz, Zheng Grace Ma*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

Digitalization is challenging in heavy industrial sectors, and many pi-lot projects facing difficulties to be replicated and scaled. Case studies are strong pedagogical vehicles for learning and sharing experience & knowledge, but rarely available in the literature. Therefore, this paper conducts a survey to gather a diverse set of nine industry cases, which are subsequently subjected to analysis using the business model canvas (BMC). The cases are summarized and com-pared based on nine BMC components, and a Value of Business Model (VBM) evaluation index is proposed to assess the business potential of industrial digital solutions. The results show that the main partners are industry stakeholders, IT companies and academic institutes. Their key activities for digital solutions include big-data analysis, machine learning algorithms, digital twins, and internet of things developments. The value propositions of most cases are improving energy efficiency and enabling energy flexibility. Moreover, the technology readiness levels of six industrial digital solutions are under level 7, indicating that they need further validation in real-world environments. Building upon these insights, this paper proposes six recommendations for future industrial digital solution development: fostering cross-sector collaboration, prioritizing comprehensive testing and validation, extending value propositions, enhancing product adaptability, providing user-friendly platforms, and adopting transparent recommendations.
Original languageEnglish
Title of host publicationEnergy Informatics. EI.A 2023 : Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023, Proceedings, Part I
EditorsBo Nørregaard Jørgensen, Luiz Carlos Pereira da Silva, Zheng Ma
PublisherSpringer
Publication date2. Dec 2023
Pages253-270
ISBN (Print)978-3-031-48648-7
ISBN (Electronic)978-3-031-48649-4
DOIs
Publication statusPublished - 2. Dec 2023
EventEnergy Informatics.Academy Conference 2023 - Unicamp campus, São Paulo , Brazil
Duration: 6. Dec 20238. Dec 2023
Conference number: 3
https://www.energyinformatics.academy/eia-2023-conference

Conference

ConferenceEnergy Informatics.Academy Conference 2023
Number3
LocationUnicamp campus
Country/TerritoryBrazil
CitySão Paulo
Period06/12/202308/12/2023
Internet address
SeriesLecture Notes in Computer Science
Volume14467
ISSN0302-9743

Keywords

  • Industry 4.0
  • Digitalization
  • Energy efficiency
  • Energy flexibility
  • Business model

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