Flexible Energy Storage System and Renewable Energy Planning for Sustainable Internet Data Center Considering Temporal and Spatial Load Regulation

Given the growing concerns over environmental issues, the idea of sustainable development has gained traction. As the computational load in Internet Data Centers (IDCs) continues to increase, they have become a new type of electricity load in the power sector. Yet, if IDCs operate on an electricity grid powered primarily by fossil fuels, they indirectly contribute to carbon emissions, especially if the energy is sourced from thermal generators. This article suggests a combined approach of battery energy storage systems (BESS) and renewable energy planning, focusing on spatial and temporal load adjustments to reduce carbon emissions and promote eco-friendly computation in IDCs. We introduce a formula for carbon intensity evolution and a modified carbon emission flow (CEF) to measure and monitor the IDCs' indirect carbon emissions. To address the inherent volatility and uncertainty of renewable energy integration, we introduce a sophisticated approach for voltage deviation risk assessment. Utilizing Gaussian Mixture Models (GMM) to evaluate the Probability Density Function (PDF) of voltage deviations. Furthermore, we develop a flexible planning model that incorporates long-term uncertainties by introducing a ‘regret cost’ metric. Our comprehensive approach enables IDCs to effectively navigate the complexities of renewable integration, delivering a resilient energy solution that addresses both the immediate operational risks and the strategic challenges posed by the evolving energy landscape.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2025-05-09
DOI
https://doi.org/10.1109/tia.2025.3568803
Citations
5
Primary Topic
Caching and Content Delivery
Type
article
Field-Weighted Citation Impact
7.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flexible Energy Storage System and Renewable Energy Planning for Sustainable Internet Data Center Considering Temporal and Spatial Load Regulation

Shuying Lai, Jing Qiu, Tong Wan, Yuechuan Tao et al.
5 citations
IEEE Transactions on Industry Applications
Caching and Content Delivery
7.44
article

Flexible Energy Storage System and Renewable Energy Planning for Sustainable Internet Data Center Considering Temporal and Spatial Load Regulation

Shuying Lai, Jing Qiu, Tong Wan, Yuechuan Tao, R.S. Mao
article en
5 citations

Abstract

Given the growing concerns over environmental issues, the idea of sustainable development has gained traction. As the computational load in Internet Data Centers (IDCs) continues to increase, they have become a new type of electricity load in the power sector. Yet, if IDCs operate on an electricity grid powered primarily by fossil fuels, they indirectly contribute to carbon emissions, especially if the energy is sourced from thermal generators. This article suggests a combined approach of battery energy storage systems (BESS) and renewable energy planning, focusing on spatial and temporal load adjustments to reduce carbon emissions and promote eco-friendly computation in IDCs. We introduce a formula for carbon intensity evolution and a modified carbon emission flow (CEF) to measure and monitor the IDCs' indirect carbon emissions. To address the inherent volatility and uncertainty of renewable energy integration, we introduce a sophisticated approach for voltage deviation risk assessment. Utilizing Gaussian Mixture Models (GMM) to evaluate the Probability Density Function (PDF) of voltage deviations. Furthermore, we develop a flexible planning model that incorporates long-term uncertainties by introducing a ‘regret cost’ metric. Our comprehensive approach enables IDCs to effectively navigate the complexities of renewable integration, delivering a resilient energy solution that addresses both the immediate operational risks and the strategic challenges posed by the evolving energy landscape.

IEEE Transactions on Industry ApplicationsVol. 61(6)
The University of Sydney (AU), City University of Hong Kong (HK), City University of Macau (MO)
Affordable and clean energy
Openalex Percentile: Top 3%
Caching and Content Delivery
7.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.