Optimizing energy efficiency in data center cooling towers through predictive maintenance and project management

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(2), P. 1782 - 1790

Published: Feb. 28, 2024

Optimizing energy efficiency in data center cooling towers is crucial for reducing operational costs and environmental impact. This review explores the integration of predictive maintenance project management to achieve this goal. By leveraging techniques, operators can anticipate address potential issues before they lead costly downtime or inefficiencies. Project plays a key role coordinating these efforts, ensuring that activities are carried out efficiently effectively. Predictive relies on analytics machine learning algorithms monitor condition real-time. analyzing such as temperature, pressure, flow rates, detect anomalies predict failures. proactive approach allows schedule during planned downtime, minimizing disruptions operations. practices, Agile Waterfall methodologies, essential efforts. managers oversee planning, execution, monitoring activities, completed time within budget. They also facilitate communication between stakeholders, including teams, analysts, management, ensure everyone aligned working towards same goals. integrating with significant improvements efficiency. addressing proactively, reduce consumption, extend lifespan equipment, minimize downtime. Additionally, practices efforts coordinated effective, maximizing benefits maintenance. In conclusion, optimizing requires holistic combines management. techniques efficiency, costs, enhance sustainability.

Language: Английский

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Impact of Data Centers on Climate Change: A Review of Energy Efficient Strategies

The Journal of Engineering and Exact Sciences, Journal Year: 2023, Volume and Issue: 9(6), P. 16397 - 01e

Published: Aug. 17, 2023

The rapid proliferation of digital services and the surge in cloud computing have significantly increased demand for data centers worldwide. As these facilities consume vast amounts energy, there is growing concern about their impact on environment, particularly relation to climate change. This paper reviews extent which contribute global greenhouse gas emissions examines energy efficient strategies being employed mitigate environmental footprint. Key findings indicate that without intervention, centre could rival those major industries. Fortunately, innovations cooling technologies, architectural design, renewable sourcing, hardware efficiency shown potential reducing consumption. also underscores importance a holistic approach encompasses both technological advancements policy measures meaningful progress. In conclusion, while are indeed source concern, ongoing energy-efficient provide promising pathway towards sustainable future.

Language: Английский

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Design and management of photovoltaic energy in uninterruptible power supplies

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 301, P. 118038 - 118038

Published: Jan. 4, 2024

Language: Английский

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Energy-Efficient Dynamic Workflow Scheduling in Cloud Environments Using Deep Learning

Sensors, Journal Year: 2025, Volume and Issue: 25(5), P. 1428 - 1428

Published: Feb. 26, 2025

Dynamic workflow scheduling in cloud environments is a challenging task due to dependencies, fluctuating workloads, resource variability, and the need balance makespan energy consumption. This study presents novel framework that integrates Graph Neural Networks (GNNs) with Deep Reinforcement Learning (DRL) using Proximal Policy Optimization (PPO) algorithm achieve multi-objective optimization, focusing on minimizing reducing By leveraging GNNs model dependencies within workflows, enables adaptive informed allocation. The agent was evaluated CloudSim-based simulation environment synthetic datasets. Experimental results across benchmark datasets demonstrate proposed framework’s effectiveness, achieving consistent improvements consumption over traditional heuristic methods. achieved minimum of 689.22 s against second best 800.72 moderate-sized datasets, significantly up 13.92% baseline methods such as HEFT, Min–Min, Max–Min, while maintaining competitive 10,964.45 J. These findings highlight potential combining DRL for dynamic environments, effectively balancing multiple objectives.

Language: Английский

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Dynamic thermal environment management technologies for data center: A review

Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 187, P. 113761 - 113761

Published: Sept. 22, 2023

Language: Английский

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Review of energy efficiency and technological advancements in data center power systems

Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 114834 - 114834

Published: Sept. 1, 2024

Language: Английский

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Reliability, availability, and life-cycle cost (LCC) analysis of combined cooling, heating and power (CCHP) integration to data centers considering electricity and cooling supplies

Energy Conversion and Management, Journal Year: 2023, Volume and Issue: 291, P. 117254 - 117254

Published: June 12, 2023

Language: Английский

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Design of Uninterruptible Power Supply Inverters for Different Modulation Techniques Using Pareto Front for Cost and Efficiency Optimization

Energies, Journal Year: 2023, Volume and Issue: 16(3), P. 1314 - 1314

Published: Jan. 26, 2023

This work presents a design for uninterruptible power supply inverters using Pareto front optimization improved cost and efficiency. Three PWM modulation techniques applied to the full-bridge inverter are analyzed. As result, best MOSFET solution in terms of efficiency is evaluated based on database with 47 MOSFETs. Using front, optimal sub-optimal solutions compared, considering three characteristics MOSFETs manufactured different voltage levels. Thermal electrical measurements used validate models.

Language: Английский

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GREEN DATA CENTERS: SUSTAINABLE PRACTICES FOR ENERGY-EFFICIENT IT INFRASTRUCTURE

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(1), P. 99 - 114

Published: Jan. 19, 2024

The digital age has led to a surge in connectivity, innovation, and information exchange, but it also escalating energy consumption by data centers. Green centers have emerged as transformative solution, embodying commitment sustainability through eco-friendly practices cutting-edge technologies. Key principles of green include energy-efficient hardware, renewable integration, advanced cooling systems, resource optimization strategies. Energy-efficient hardware involves replacing outdated servers, storage network equipment with alternatives, such virtualization This reduces power sets the stage for more sustainable technologically center infrastructure. Renewable integration dependence on traditional grids fossil fuels, ensuring an eco-friendlier supply. Advanced liquid immersion, hot aisle containment, free air cooling, optimize efficiency while maintaining ideal server temperatures. Resource ensures that every unit is utilized judiciously, contributing overarching goal sustainability. transition presents challenges upfront investment costs, fluctuating grids, technical complexities associated systems. However, there are substantial opportunities, including reduced operational improved brand image, compliance environmental regulations. Emerging trends artificial intelligence edge computing, which enable prediction peak workloads, dynamic management. By prioritizing efficiency, embracing innovative technologies, staying attuned emerging trends, can play pivotal role forging future. Keywords: Data Centers, Sustainability, Energy Efficiency, It Infrastructure, Edge Computing, Artificial Intelligence.

Language: Английский

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Turning Data Center Waste Heat into Energy: A Guide to Organic Rankine Cycle System Design and Performance Evaluation

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(14), P. 6046 - 6046

Published: July 11, 2024

This study delves into the adoption of organic Rankine cycle (ORC) for recovering waste heat from data centers (DCs). Through a literature review, it examines energy reuse with focus on electric power generation, selection working fluids, and system design principles. The objective is to develop thorough framework analysis, beginning quantity quality investigation available. Air cooling systems, chosen often their simplicity, account about 70% used methods. Water demonstrates greater effectiveness, albeit less commonly adopted. pays close attention potential meticulously considering limitations presented by available sources cold vaporization condensation, respectively. It reviews an ORC-based setup, incorporating fluid streams internal processes. research includes conceptual case where designed simulations are conducted in DWSIM environment. simulation model considers hot air or liquid water returning center ORC evaporation. Ambient serves condensing, pentane isopentane identified as suitable fluids. Pentane assures net efficiencies ranging between 3.1 7.1% when operating pressure ratios increase 2.8 6.4. Isopentane meanwhile, achieve 3.6–7.0% across 2.7–6.0. Furthermore, provides key performance indicators reference terms usage effectiveness (PUE), factor (ERF), (ERE), greenhouse gas (GHG) savings. concludes guidelines including exergy considerations, details sizing process evaporators condensers.

Language: Английский

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