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Data Centers Optimized Integration with Multi-Energy Grids: Test Cases and Results in Operational Environment

Author

Listed:
  • Tudor Cioara

    (Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania)

  • Marcel Antal

    (Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania)

  • Claudia Daniela Antal (Pop)

    (Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania)

  • Ionut Anghel

    (Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania)

  • Massimo Bertoncini

    (Engineering Ingegneria Informatica, Piazzale dell’Agricoltura 24, Rome, Italy)

  • Diego Arnone

    (Engineering Ingegneria Informatica, Piazzale dell’Agricoltura 24, Rome, Italy)

  • Marilena Lazzaro

    (Engineering Ingegneria Informatica, Piazzale dell’Agricoltura 24, Rome, Italy)

  • Marzia Mammina

    (Engineering Ingegneria Informatica, Piazzale dell’Agricoltura 24, Rome, Italy)

  • Terpsichori-Helen Velivassaki

    (Singular Logic, Achaias 3 & Trizinias st., Kifissia, P.C. 145 64 Attica, Greece)

  • Artemis Voulkidis

    (PowerOps, Faraday Rd, Swindon SN3 5HQ, UK)

  • Yoann Ricordel

    (Qarnot Computing, 40–42 Rue Barbès, 92120 Montrouge, France)

  • Nicolas Sainthérant

    (Qarnot Computing, 40–42 Rue Barbès, 92120 Montrouge, France)

  • Ariel Oleksiak

    (Poznan Supercomputing and Networking Center, Jana Pawła II 10, 61-139 Poznan, Poland)

  • Wojciech Piatek

    (Poznan Supercomputing and Networking Center, Jana Pawła II 10, 61-139 Poznan, Poland)

Abstract

In this paper, we address the management of Data Centers (DCs) by considering their optimal integration with the electrical, thermal, and IT (Information Technology) networks helping them to meet sustainability objectives and gain primary energy savings. Innovative scenarios are defined for exploiting the DCs electrical, thermal, and workload flexibility as a commodity and Information and Communication Technologies (ICT) are proposed and used as enablers for the scenarios’ implementation. The technology and scenarios were evaluated in the context of two operational DCs: a micro DC in Poznan which has on-site renewable sources and a DC in Point Saint Martin. The test cases’ results validate the possibility of using renewable energy sources (RES) for exploiting DCs’ energy flexibility and the potential of combining IT load migration with the availability of RES to increase the amount of energy flexibility by finding a trade-off between the flexibility level, IT load Quality of Service (QoS), and the RES production level. Moreover, the experiments conducted show that the DCs can successfully adapt their thermal energy profile for heat re-use as well as the combined electrical and thermal energy profiles to match specific flexibility requests.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:9893-:d:451585
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    References listed on IDEAS

    as
    1. Marcel Antal & Tudor Cioara & Ionut Anghel & Claudia Pop & Ioan Salomie, 2018. "Transforming Data Centers in Active Thermal Energy Players in Nearby Neighborhoods," Sustainability, MDPI, vol. 10(4), pages 1-20, March.
    2. Kondziella, Hendrik & Bruckner, Thomas, 2016. "Flexibility requirements of renewable energy based electricity systems – a review of research results and methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 10-22.
    3. Wahlroos, Mikko & Pärssinen, Matti & Manner, Jukka & Syri, Sanna, 2017. "Utilizing data center waste heat in district heating – Impacts on energy efficiency and prospects for low-temperature district heating networks," Energy, Elsevier, vol. 140(P1), pages 1228-1238.
    4. Andreea Valeria Vesa & Tudor Cioara & Ionut Anghel & Marcel Antal & Claudia Pop & Bogdan Iancu & Ioan Salomie & Vasile Teodor Dadarlat, 2020. "Energy Flexibility Prediction for Data Center Engagement in Demand Response Programs," Sustainability, MDPI, vol. 12(4), pages 1-23, February.
    5. Huang, Pei & Copertaro, Benedetta & Zhang, Xingxing & Shen, Jingchun & Löfgren, Isabelle & Rönnelid, Mats & Fahlen, Jan & Andersson, Dan & Svanfeldt, Mikael, 2020. "A review of data centers as prosumers in district energy systems: Renewable energy integration and waste heat reuse for district heating," Applied Energy, Elsevier, vol. 258(C).
    6. Marcel Antal & Tudor Cioara & Ionut Anghel & Radoslaw Gorzenski & Radoslaw Januszewski & Ariel Oleksiak & Wojciech Piatek & Claudia Pop & Ioan Salomie & Wojciech Szeliga, 2019. "Reuse of Data Center Waste Heat in Nearby Neighborhoods: A Neural Networks-Based Prediction Model," Energies, MDPI, vol. 12(5), pages 1-18, March.
    7. Rong, Huigui & Zhang, Haomin & Xiao, Sheng & Li, Canbing & Hu, Chunhua, 2016. "Optimizing energy consumption for data centers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 674-691.
    8. 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.
    9. Andrzej Lis & Agata Sudolska & Ilona Pietryka & Adam Kozakiewicz, 2020. "Cloud Computing and Energy Efficiency: Mapping the Thematic Structure of Research," Energies, MDPI, vol. 13(16), pages 1-21, August.
    10. Pei Pei & Zongjie Huo & Oscar Sanjuán Martínez & Rubén González Crespo, 2020. "Minimal Green Energy Consumption and Workload Management for Data Centers on Smart City Platforms," Sustainability, MDPI, vol. 12(8), pages 1-14, April.
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