Energy Curtailment And Data Centers: Technological Strategies For Consumption Optimization In Renewable Energy-Based Systems
Authors/Creators
-
Alcides, Feitosa Neto
(Researcher)
- Ana Karen, Silveira Pereira Caracas (Researcher)
-
Cleilson, Coutinho da Silva
(Researcher)
-
Emanuel, Lopes Frate
(Researcher)
-
Esaú, Aguiar Carvalho
(Researcher)
-
Débora Maria de, Sousa da Silva
(Researcher)
-
Francisco Jeandson, Rodrigues da Silva
(Researcher)
-
Francisco José, Lopes Cajado
(Researcher)
-
Givanildo, Ximenes Santana
(Researcher)
-
Irene, Mendes Fontes
(Researcher)
-
Joao Guilherme de, Oliveira Duarte
(Researcher)
-
José Nabuco, Ribamar Neto
(Researcher)
-
Márcio, Carneiro Barbosa
(Researcher)
-
Roberto Augusto, Caracas Neto
(Researcher)
-
Rickardo Léo, Ramos Gomes
(Researcher)
-
Silvana Claudia de, Lima Accioly
(Researcher)
-
Tadeu, Dote Sá
(Researcher)
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.
Files
CURTAILMENT ENERGÉTICO E DATA CENTERS_PORT.pdf
Files
(656.7 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:15fbee33de54d8f52141579cef64232a
|
656.7 kB | Preview Download |
Additional details
Identifiers
- ISSN
- 2320-737X
Dates
- Accepted
-
2026-05-23ACTIVE
Software
References
- Aslan, T., Et Al. (2025). Toward Climate Neutral Data Centers: Greenhouse Gas Inventory, Scenarios, And Strategies. Iscience, 28(1), 111637. Https://Doi.Org/10.1016/J.Isci.2024.111637 [2]. Brito, J. L. R. De, Matai, P. H. L. Dos S., & Santos, M. R. Dos. (2023). Data Centers And Energy Efficiency. Brazilian Journal Of Business, 5(2), 786–795. Https://Doi.Org/10.34140/Bjbv5n2-002 [3]. Caracas Neto, R. A., Gomes, R. L. R., Et Al. (2025). Curtailment, Sustainability, And Governance: The Strategic Role Of Renewable Energy Sources Within The ESG Framework. IOSR Journal Of Business And Management (IOSR-JBM), 27(5), 17–26. E-ISSN 2278-487X, P-ISSN 2319-7668. Https://Doi.Org/10.9790/487X-2705111726 [4]. Chatterjee, A., & Venugopal, V. (2023). Designing Data Centers For AI Clusters. JDCN. Retrieved March 21, 2026, From Https://Www.Juniper.Net/Documentation/Us/En/Software/Nce/Ai-Clusters-Data-Center-Design/Aiclusters-Data-CenterDesign.Pdf [5]. Chiappini, G. (2025). The Surge In Data Centers Strains The Electric Grid And Challenges Energy Planning. Agência Eixos. Retrieved July 10, 2025, From Https://Eixos.Com.Br/Newsletters/Dialogos-Da-Transicao/Disparada-Dos-Data-Centers-PressionaRede-Eletrica-E-Desafia-Planejamento/ [6]. Fagundes, E. M. (2025). Mitigating Energy Curtailment: Opportunities And Challenges For Investing In Renewables And Storage Solutions In Brazil. Tech & Energy Insights. Retrieved July 11, 2025, From Https://Efagundes.Com/Blog/Mitigando-CurtailmentEnergia-Brasil/ [7]. Faveret, J. V. (2025). Curtailment In Brazil: Impacts, Regulation, And Challenges For The Energy Sector. Tyr Energia S.A. [8]. Feitosa Neto, A., Gomes, R. L. R., Et Al. (2025). Smart Curtailment Management In Power Grids With High Renewable Penetration: The Role Of Batteries, Data Centers, And Flexibility Compensation Policies. IOSR Journal Of Business And Management (IOSRJBM), 27(7), 41–48. E-ISSN 2278-487X, P-ISSN 2319-7668. Https://Doi.Org/10.9790/487X-2707074148 [9]. Ferreira, R. B., Et Al. (2024). The Impact Of Artificial Intelligence (AI) On Data Center Infrastructures. Revista Brasil Pós: Engenharia, Tecnologia E Gestão, 1(1). Https://Doi.Org/10.5281/Zenodo.13831119 [10]. Gil, A. C. (2022). How To Develop Research Projects (7th Ed.). Atlas. [11]. Huang, J., Et Al. (2024). Data Centers Cooling: A Critical Review Of Techniques, Challenges, And Energy Saving Solutions. Sustainable Computing: Informatics And Systems, 42, 100989. Https://Doi.Org/10.1016/J.Suscom.2024.100989 [12]. IEA – International Energy Agency. (2025). Energy And AI: World Energy Outlook Special Report. Retrieved May 10, 2026, From Https://Iea.Blob.Core.Windows.Net/Assets/De9dea13-B07d-42c5-A398-D1b3ae17d866/Energyandai.Pdf [13]. Khan, T., & Goodwin, M. (2026). What Is A Green Data Center? IBM. Retrieved May 11, 2026, From Https://Www.Ibm.Com/Think/Topics/Green-Data-Center; Lin, Y., Et Al. (2023). Green-Aware Data Centers: Workload Management, Thermal Management, And Waste Heat Recovery. Renewable And Sustainable Energy Reviews, 187, 113761. Https://Doi.Org/10.1016/J.Rser.2023.113761 [15]. Pinto, M. M. F., Campos, P. K. De, & Azevedo, V. R. De. (2016). Sustainability Of Data Centers Using Green IT. E-Locução / Revista Científica Da FAEX, 10(20). ISSN 2238-1899. [16]. Prieto, R. B. P., Et Al. (2025). Energy And Environmental Sustainability In Artificial Intelligence Data Centers: A Case Study Of Google Data Centers (2024–2025). Revista DELOS, 18(75), 1–25. ISSN 1988-5245. Https://Doi.Org/10.55905/Rdelosv18.N75-008 [17]. Rodrigues, R. (2024, August 27). Renewable Energy Generation Cuts Cause Losses Of Nearly R$1 Billion To Companies In The Sector, Says Association. Valor Econômico. Retrieved May 10, 2026, From Https://Valor.Globo.Com/Empresas/Noticia/2024/08/27/Cortes-De-Gerao-De-Energiarenovvel-Causam-Prejuzos-De-Quase-R-1- Bi-A-Empresas-Do-Setor-Diz-Associao.Ghtml [18]. Rolim, J. (2025). Curtailment Of Renewable Generation: 10 Reasons Justifying Compensation To Producers [Linkedin Post]. Linkedin. Retrieved May 10, 2026, From Https://Www.Linkedin.Com/Posts/Joaquimrolimjcro_Cortes-De-Gera%C3%A7%C3%A3o-Renov%C3%A1vel-CurtailmentActivity-7311478654943830016-Ajh7/ [19]. Silva, D. C. Da, Et Al. (2022). Characteristics Of Qualitative Research: A Study Of Dissertations In A Graduate Education Program. Educação Em Revista, 38, E26895. E-ISSN 2278-067X. Https://Doi.Org/10.1590/0102-469826895 [20]. Silva, F. B. Da. (2018). Criteria For Implementing Data Center Infrastructure Aligned With Green IT Principles: A Survey With Specialists (Master's Thesis). Instituto De Pesquisas Tecnológicas Do Estado De São Paulo, São Paulo, Brazil. [21]. Silva, F. J. R. Da, Moura, A. P. De, & Barroso, G. C. (2022). Novel Proposal For The Analysis Of Technical Losses In MediumVoltage Feeders From Single-Phase And Three-Phase Load Flow Data. Electric Power Systems Research, 211. Https://Doi.Org/10.1016/J.Epsr.2022.108239 [22]. Silva, L. A., Vasconcelos, E. S., Paiva, L. F. R. De, Goulart, C. S., Joaquim, W. M., Elias, M. E. P., & Collaço, M. H. Do V. R. (2026). Energy Consumption In Data Centers And Efficiency Strategies: A Literature Review. Revista De Engenharia, TI E Inovação, 3(1), 1–17. Https://Doi.Org/10.31496/Retii.V3i1.2038 [23]. Simple Energy. (2026). Curtailment: Structural Risk In The Brazilian Electrical Sector. Retrieved May 10, 2026, From Https://Simpleenergy.Com.Br/Curtailment-O-Novo-Risco-Estrutural-Do-Setor-Eletrico-No-Brasil/ [24]. Stacciarini, J. H. S., & Gonçalves, R. J. De A. F. (2025). Data Centers, Critical Minerals, Energy, And Geopolitics: The Foundations Of Artificial Intelligence. Sociedade & Natureza, 37, E77215. ISSN 1982-4513. Https://Doi.Org/10.14393/SN-V37-2025-77215 [25]. Vasconcelos, Y. (2025, March). Strategies To Make Data Centers More Sustainable. Revista Pesquisa FAPESP, 349. Retrieved May 10, 2026, From Https://Revistapesquisa.Fapesp.Br/As-Estrategias-Para-Tornar-Os-Data-Centers-Mais-Sustentaveis/ [26]. Welsch, C. (2022, November). As The World Goes Digital, Data Centers That Make The Cloud Work Look To Renewable Energy Sources. Microsoft. Retrieved March 21, 2026, From Https://News.Microsoft.Com/Source/Emea/Features/As-The-World-GoesDigital-Datacenters-That-Make-The-Cloud-Work-Look-To-Renewable-Energy-Sources/ [27]. Willige, A. (2025, December 10). Energy Explained: What Is Curtailment And How Do We Address It? Mitsubishi Heavy Industries Group. Retrieved May 10, 2026, From Https://Spectra.Mhi.Com/Energy-Transition/Energy-Explained-What-Is-Curtailment-AndHow-Do-We-Address-It