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A shared energy storage business model for data center clusters considering renewable energy uncertainties

  • Ouzhu Han
  • , Tao Ding
  • , Xiaosheng Zhang
  • , Chenggang Mu
  • , Xinran He
  • , Hongji Zhang
  • , Wenhao Jia
  • , Zhoujun Ma
  • Xi'an Jiaotong University
  • State Grid Corporation of China

Research output: Contribution to journalArticlepeer-review

82 Scopus citations

Abstract

The energy consumption of data centers (DCs) is on a sharp upward trend in recent years. DCs are playing an increasingly important role in demand response (DR) programs. However, the reassignment of computing tasks among DCs leads to different energy demands of different DCs. Given that the investment cost of energy storage is high, this work proposes a shared energy storage business model for the DC cluster (DCC) to improve economic benefits and promote renewable energy accommodation. Besides, an internal energy balance mechanism is set up to make full use of the complementary energy consumption characteristics of different DCs. Considering the renewable energy uncertainty, an optimization model is proposed based on the chance-constrained goal programming (CCGP). Finally, simulation results prove that the proposed energy storage business model has a positive effect on improving the economic benefits of the DCC. It also proves that for a DCC adopting the proposed internal energy balance mechanism, its total renting power can be effectively reduced and renewable energy consumption can be greatly promoted.

Original languageEnglish
Pages (from-to)1273-1290
Number of pages18
JournalRenewable Energy
Volume202
DOIs
StatePublished - Jan 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Chance-constrained goal programming
  • Data center cluster
  • Renewable energy uncertainty
  • Shared energy storage business model

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