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Energy Semantic Data Management and Utilization in Smart Grid Networks with Focus on Circular Economy

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Handbook of Smart Energy Systems

Abstract

From the first days of human beings’ existence on the Earth, energy has played an important and sensitive role in mitigating human needs. Nowadays, Energy is still a matter of debate and controversy among various societies independent of advanced or developing categories. Meanwhile, Smart Grid network with its special features and facilitating the process of production and distribution of renewable energy plays a crucial and historic role in improving the environmental status and climate change problems. This network can also be used as a key part in the circular economy model, which leads to economic, environmental, and social sustainability. One of the most basic steps in designing a Smart Grid network is semantic data structures and its management procedures. The data semantic models and how they are used to enable both integration and interoperability in energy Smart Grid highly influence the utilization of sources and planning the energy streams in the whole network. In a situation where this network is composed of different components such as power generation, transformation and transmission, distribution network, and consumption, a huge amount of data will be generated, which makes their interoperability a challenge. In addition, when the concept of smartness in energy Smart Grid networks is discussed, it is emphasized that there should be smart mechanisms to enable the seamless and reliable transfer of data and knowledge correctly through the network of stakeholders. This chapter has discussed the concepts of knowledge representation by focusing on Big Knowledge Graphs and how to represent knowledge with interoperability in energy Smart Grid networks. The focus will be put on the paradigm of smartness for establishing knowledge communication autonomously with circular economy considerations.

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Author information

Authors and Affiliations

  1. School of Business, Social & Decision Sciences, Jacobs University, Bremen, Germany

    Mohammad Yaser Mofatteh & Omid Fatahi Valilai

  2. Centre of Excellence in Supply Chain and Transportation (CESIT), KEDGE Business School, Talence, France

    Amir Pirayesh

Authors
  1. Mohammad Yaser Mofatteh
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  2. Amir Pirayesh
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  3. Omid Fatahi Valilai
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Corresponding author

Correspondence to Omid Fatahi Valilai .

Editor information

Editors and Affiliations

  1. Information Technology and Decision Sciences, University of North Texas, Denton, TX, USA

    Mahdi Fathi

  2. Department of Energy, Politecnico di Milano, MILANO, Milano, Italy

    Enrico Zio

  3. Industrial & Systems Engineering, University of Florida, GAINESVILLE, FL, USA

    Panos M. Pardalos

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Mofatteh, M.Y., Pirayesh, A., Fatahi Valilai, O. (2022). Energy Semantic Data Management and Utilization in Smart Grid Networks with Focus on Circular Economy. In: Fathi, M., Zio, E., Pardalos, P.M. (eds) Handbook of Smart Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-72322-4_162-1

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  • DOI: https://doi.org/10.1007/978-3-030-72322-4_162-1

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  • Print ISBN: 978-3-030-72322-4

  • Online ISBN: 978-3-030-72322-4

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