EMS for Sustainable Data Centers

With the rapid expansion of cloud computing, data centers have become one of the largest consumers of energy globally. To achieve energy efficiency and sustainability, integrating renewable energy sources such as solar and wind into the energy management system (EMS) of data centers has become essential. This paper proposes an intelligent EMS framework designed for sustainable data centers, which dynamically balances energy loads between renewable energy generation, battery storage, and grid supply. The system optimizes energy consumption by leveraging real-time data from renewable sources, minimizing grid dependency, and reducing overall operational costs. A simulation over a 24-hour period demonstrates that the EMS can significantly reduce grid power usage while maintaining data center load demands, thereby supporting greener and more efficient data center operations.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-11-14
DOI
https://doi.org/10.1051/e3sconf/202459101006/pdf
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EMS for Sustainable Data Centers

Springer Link (Chiba Institute of Technology)
Cloud Computing and Resource Management
article

EMS for Sustainable Data Centers

article en

Abstract

With the rapid expansion of cloud computing, data centers have become one of the largest consumers of energy globally. To achieve energy efficiency and sustainability, integrating renewable energy sources such as solar and wind into the energy management system (EMS) of data centers has become essential. This paper proposes an intelligent EMS framework designed for sustainable data centers, which dynamically balances energy loads between renewable energy generation, battery storage, and grid supply. The system optimizes energy consumption by leveraging real-time data from renewable sources, minimizing grid dependency, and reducing overall operational costs. A simulation over a 24-hour period demonstrates that the EMS can significantly reduce grid power usage while maintaining data center load demands, thereby supporting greener and more efficient data center operations.

Springer Link (Chiba Institute of Technology)
Affordable and clean energy
Openalex Percentile: Top 48%
Cloud Computing and Resource Management
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.

EMS for Sustainable Data Centers · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS