Published May 23, 2026 | Version https://www.iosrjournals.org/iosr-jrme/papers/Vol-16%20Issue-3/Ser-2/A1603020111.pdf
Journal article Open

Energy Curtailment And Data Centers: Technological Strategies For Consumption Optimization In Renewable Energy-Based Systems

Description

Abstract:
Background: The growing energy demand associated with data centers and the expansion of renewable energy
sources have intensified scientific discussions concerning energy efficiency, sustainability, and operational
stability in high-capacity digital infrastructures. Within this context, the present study aims to comprehensively
examine technological strategies designed to optimize energy consumption in data centers operating within
renewable energy-based systems, considering the impacts of energy curtailment on operational efficiency,
sustainability, and the stability of energy supply in these infrastructures.
Materials and Methods: This study adopted a qualitative methodological approach, as the research sought to
interpret and understand phenomena related to energy curtailment and technological strategies applied to energy
management in data centers. Methodologically, a bibliographic review was employed as the primary research
strategy, enabling the systematic organization and critical analysis of scientific publications associated with the
investigated topic.
Results: The findings demonstrated that technical and operational factors directly influence the occurrence of
curtailment in renewable energy-based systems, affecting the energy stability of data centers. Furthermore, the
results indicated that technologies such as artificial intelligence, automation, and energy storage contribute to
greater efficiency in computational workload management and to the reduction of energy waste.
Conclusion: It was concluded that the integration between intelligent technological solutions and renewable
energy sources promotes greater operational sustainability, energy efficiency, and reliability in the operation of
data centers with high computational demand.
Key Word: Energy curtailment; Data centers; Renewable energy; Energy efficiency.

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Additional details

Identifiers

ISSN
2320-737X

Dates

Accepted
2026-05-23
ACTIVE

References