[Retracted] Dynamic Combined Optimal Scheduling of Electric Energy and Natural Gas Energy Consumption in Data Center

Li, Xuehui; Hou, Guisheng; Yang, Lei

doi:10.1155/2022/3917170

Cited by 5 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The power consumption of a data center is linearly correlated with the number of active servers in the center (Liu et al, 2022). e i,t km i,t + β, ∀i ∈ I, t ∈ T…”

Section: Data Center Energy Conversion Modelmentioning

confidence: 99%

Combination optimization of green energy supply in data center based on simulated annealing particle swarm optimization algorithm

Liu,

Hou,

Yang

2023

Front. Earth Sci.

Self Cite

View full text Add to dashboard Cite

At present, the high energy consumption of data centers based on grid power supply not only brings huge direct cost of electricity, but also indirectly produces a lot of greenhouse gases, which affects the natural environment. Academia and industry are beginning to introduce clean renewable energy sources such as wind and solar power into data centers to reduce operating costs and environmental damage by building new green data centers. To solve this problem, this study considers the use of waste heat for refrigeration while taking natural gas power generation into account, and introduces wind energy as a green energy source. On the premise of considering the response level of data centers, the two resources are combined and deployed to improve resource utilization and reduce energy consumption costs. Aiming at the instability of wind power generation, a particle swarm energy scheduling optimization algorithm based on simulated annealing algorithm was proposed by combining simulated annealing algorithm and particle swarm optimization algorithm. The research shows that, considering the response level of data centers, the use of natural gas and wind energy as the main energy supply can effectively reduce the overall energy consumption of data centers.

show abstract

“…The power consumption of a data center is linearly correlated with the number of active servers in the center (Liu et al, 2022). e i,t km i,t + β, ∀i ∈ I, t ∈ T…”

Section: Data Center Energy Conversion Modelmentioning

confidence: 99%

Combination optimization of green energy supply in data center based on simulated annealing particle swarm optimization algorithm

Liu,

Hou,

Yang

2023

Front. Earth Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Many scholars have addressed the integrated application aspects of different types of energy. Xuehui Liu et al [4] proposed a dual-objective data center energy consumption scheduling method considering both electrical energy and natural gas energy and used particle swarm algorithms for simulation scheduling from the perspectives of electrical energy and gas as both energy supply and energy consumption. Yongliang Xie et al [5] compared hydrogen-powered data center and conventional data center configurations and conducted an economic analysis to assess the feasibility of powering the data center with hydrogen energy.…”

Section: Introductionmentioning

confidence: 99%

Comparative performance analysis of two hybrid energy systems for data centers with different replenishment energy sources

He,

Xu,

Zhao

et al. 2024

Preprint

View full text Add to dashboard Cite

With the advent of the digital economy era, data centers are developing rapidly, and energy consumption has become a key factor in their high operating costs. Due to the explosive growth of servers, data centers require more and more power, resulting in power shortages and significant carbon emissions. Using renewable energy to power data centers is a promising solution. In this paper, we compared the performance differences of a hybrid renewable energy system using two different supplemental power sources, natural gas, and conventional diesel, to power a data center. Based on the power required by the data center and the supply of different energy sources, simulations are performed to obtain the system penetration capacity, economic costs, and carbon emissions for comparative analysis. The results show that the system has lower carbon emissions and cost in the natural gas mode, however, the penetration capacity is the same in both modes. With the same battery capacity of 3,000 kWh, the natural gas model costs 0.05 $/kWh less than the diesel model and reduces carbon emissions by 600 tCO2.

show abstract

“…On the premise of ensuring the stability and security of data centers, the rational planning and design of data center power supply and distribution systems, reducing power losses [3] and power carbon emissions have become the focus of researchers' attention. Xuehui Liu [4] et al use natural gas as the energy supply, a data center energy scheduling model is constructed, and the results show that natural gas as a supplementary energy supply can effectively reduce the overall energy consumption of the data center. Soongeol Kwon [5] mainly concentrates on how to promote renewable energy utilization for data center operations considering the combination of solar power generation and battery energy storage.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Data Centers Applying Hybrid Renewable Energy Power Systems

Wei¹,

Wang²,

Xu³

et al. 2023

Preprint

View full text Add to dashboard Cite

Considering the current goal of energy-intensive industries such as data centers is mainly to reduce greenhouse gas emissions, a great effort is made to achieve sustainable operations by using renewable energy generation to meet power consumption. This paper proposes a hybrid power system based on a combination of a natural gas turbine, photovoltaic, wind energy, and battery storage, using a data center in Tianjin of China as a model. Technical and economic analyses are performed for each system configuration by comparing the renewable penetration and the Levelized Cost of Electricity. Taking into account renewable penetration and cost, the various types are ranked from best to worst as PV-wind-battery; PV-wind; PV only; and wind only. The results show that the larger the PV-rated power, the higher the renewable penetration. When considering using wind energy, 1,000 kW is the best solution. When battery storage is used, 3,000 kWh is optimal.

show abstract

[Retracted] Dynamic Combined Optimal Scheduling of Electric Energy and Natural Gas Energy Consumption in Data Center

Cited by 5 publications

References 22 publications

Combination optimization of green energy supply in data center based on simulated annealing particle swarm optimization algorithm

Combination optimization of green energy supply in data center based on simulated annealing particle swarm optimization algorithm

Comparative performance analysis of two hybrid energy systems for data centers with different replenishment energy sources

Performance Analysis of Data Centers Applying Hybrid Renewable Energy Power Systems

Contact Info

Product

Resources

About