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Data Centers as Active Multi-Energy Systems for Power Grid Decarbonization: A Technical and Economic Analysis

Author

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  • Pio Alessandro Lombardi

    (Convergent Infrastructures, Fraunhofer Institute for Factory Operation and Automation IFF, 39106 Magdeburg, Germany)

  • Kranthi Ranadheer Moreddy

    (Ventury GmbH, 01309 Dresden, Germany)

  • André Naumann

    (Convergent Infrastructures, Fraunhofer Institute for Factory Operation and Automation IFF, 39106 Magdeburg, Germany)

  • Przemyslaw Komarnicki

    (Convergent Infrastructures, Fraunhofer Institute for Factory Operation and Automation IFF, 39106 Magdeburg, Germany)

  • Carmine Rodio

    (Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy)

  • Sergio Bruno

    (Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy)

Abstract

Power system decarbonization will be one of the main challenges confronting society over the next twenty to thirty years. Renewable energy sources (RES), such as wind and solar, will be the main resources supplying the power grid. Given their volatility, their integration into the grid necessitates planning and utilizing new flexibility options. Energy storage systems (ESS), multi-energy systems and active consumer involvement are three solutions attracting the scientific community’s attention. Data centers (DCs) provide a very high degree of flexibility for consumers. They can be utilized to support system operators or integrate power generated by locally installed renewable energy source generators in the DC’s network. This study is intended to contribute by developing a methodology for planning new flexibility options in DCs. The methodology developed treats DCs as active multi-energy systems. Control strategies were also developed. The technical and economic performance of the solutions implemented was evaluated.

Suggested Citation

  • Pio Alessandro Lombardi & Kranthi Ranadheer Moreddy & André Naumann & Przemyslaw Komarnicki & Carmine Rodio & Sergio Bruno, 2019. "Data Centers as Active Multi-Energy Systems for Power Grid Decarbonization: A Technical and Economic Analysis," Energies, MDPI, vol. 12(21), pages 1-14, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4182-:d:282822
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    References listed on IDEAS

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    1. Durand-Estebe, Baptiste & Le Bot, Cédric & Mancos, Jean Nicolas & Arquis, Eric, 2014. "Simulation of a temperature adaptive control strategy for an IWSE economizer in a data center," Applied Energy, Elsevier, vol. 134(C), pages 45-56.
    2. Yan, Chengchu & Shi, Wenxing & Li, Xianting & Wang, Shengwei, 2016. "A seasonal cold storage system based on separate type heat pipe for sustainable building cooling," Renewable Energy, Elsevier, vol. 85(C), pages 880-889.
    3. Maria Avgerinou & Paolo Bertoldi & Luca Castellazzi, 2017. "Trends in Data Centre Energy Consumption under the European Code of Conduct for Data Centre Energy Efficiency," Energies, MDPI, vol. 10(10), pages 1-18, September.
    4. Luca Chiaraviglio & Antonio Cianfrani & Marco Listanti & William Liu & Marco Polverini, 2016. "Lifetime-Aware Cloud Data Centers: Models and Performance Evaluation," Energies, MDPI, vol. 9(6), pages 1-17, June.
    5. Lombardi, Pio & Hänsch, Kathleen & Arendarski, Bartlomiej & Komarnicki, Przemyslaw, 2017. "Information and power terminals: A reliable microgrid infrastructure for use in disaster scenarios," International Journal of Critical Infrastructure Protection, Elsevier, vol. 19(C), pages 49-58.
    6. Yan, Chengchu & Shi, Wenxing & Li, Xianting & Zhao, Yang, 2016. "Optimal design and application of a compound cold storage system combining seasonal ice storage and chilled water storage," Applied Energy, Elsevier, vol. 171(C), pages 1-11.
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    Cited by:

    1. Marc Richter & Pio Lombardi & Bartlomiej Arendarski & André Naumann & Andreas Hoepfner & Przemyslaw Komarnicki & Antonio Pantaleo, 2021. "A Vision for Energy Decarbonization: Planning Sustainable Tertiary Sites as Net-Zero Energy Systems," Energies, MDPI, vol. 14(17), pages 1-16, September.
    2. Tudor Cioara & Marcel Antal & Claudia Daniela Antal (Pop) & Ionut Anghel & Massimo Bertoncini & Diego Arnone & Marilena Lazzaro & Marzia Mammina & Terpsichori-Helen Velivassaki & Artemis Voulkidis & Y, 2020. "Data Centers Optimized Integration with Multi-Energy Grids: Test Cases and Results in Operational Environment," Sustainability, MDPI, vol. 12(23), pages 1-23, November.

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