4.8 Article

Optimal multi-energy portfolio towards zero carbon data center buildings in the presence of proactive demand response programs

Journal

APPLIED ENERGY
Volume 350, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2023.121806

Keywords

Sustainable planning; Integrated energy systems; Data center building; Zero carbon; Renewable energy

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This paper proposes an optimal multi-energy portfolio for zero carbon data center buildings in the presence of proactive demand response programs. By fully exploiting the complementarities of hydro-solar-wind hybrid renewable energy sources and modeling them as 100% renewable energy hubs, the paper achieves efficient utilization of energy in data center buildings.
Multiple geographically dispersed data center buildings have been increasingly positioned in renewable-rich areas due to their high energy consumption. This paper proposes an optimal multi-energy portfolio for zero carbon data center buildings in the presence of proactive demand response programs. In the data center buildings, the complementarities of hydro-solar-wind hybrid renewable energy sources (RESs) are fully exploited via multi-energy conversion and storage devices, which are modeled as 100% renewable energy hubs for zero carbon multi-energy supplies. In order to exploit the hub-internal operational dispatchability and flexibility, a comprehensive energy consumption model of data center buildings is proposed to facilitate the demand response in terms of available serves, while the variable speed pumped storage (VSPS) is modeled to capture its dynamic operational characteristics. The energy-carbon production, conversion, storage, and consumption are formulated as an energy-carbon matrix, which are solved via a two-stage method to obtain the optimal portfolio. Case studies on southwest China data center buildings are implemented to demonstrate the effectiveness and superiority of the proposed methodology on cost-effective accommodation of RESs. Simulations results show that the system portfolio cost can be reduced by at most 17.8% with a higher operational flexibility.

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