考虑自然冷源的数据中心综合能源系统双层协同优化配置研究

doi:doi:10.19912/j.0254-0096.tynxb.2024-0792

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考虑自然冷源的数据中心综合能源系统双层协同优化配置研究

更新时间：2025-10-22

- 考虑自然冷源的数据中心综合能源系统双层协同优化配置研究
- Vol. 46, Issue 9, Pages: 696-705(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-0792
  CLC： TK519
- Published Online：14 October 2025，
  
  Published：2025
- 稿件说明：
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[J]. 2025, 46(9): 696-705.
DOI：

[J]. 2025, 46(9): 696-705. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0792.

摘要

为解决数据中心能耗多、排放高、成本大的问题

提出太阳能与自然冷源结合氢储能的数据中心综合能源系统（IES）

集成光伏组件、集热器、内燃机、吸收式制冷机以及燃料电池等设备。构建系统模型

使用双层优化方法对系统配置与运行参数进行优化

上层采用非支配排序遗传算法对系统容量进行优化

下层采用多目标灰狼优化算法优化运行过程中设备出力比例。通过全面权衡能源效率、经济效益、环保性、系统独立性以及可持续性等多维度指标

优化后系统的一次能源节约率达到46.33%、年总成本节约率为38.25%、CO2减排率为49.08%、电网独立性为56.07%、年总运行成本为3.41×105美元、碳使用率为0.62。

Abstract

Aiming to address the problems of excessive energy consumption

high emission and significant cost of data centers

this study proposes an integrated energy system for adata center with solar energy and natural cooling source combined with hydrogen storage

which integrates photovoltaic module

collector

internal combustion engine

absorption refrigeration unit

and fuel cell. System configuration and operating parameters are optimized using a two-layer optimization method. In the upper layer

a non-dominated sorting genetic algorithm is adopted to optimize the system capacity

In the lower layer

a multi-objective grey wolf optimization algorithm is used to optimize the ratio of operating equipment output. System performance is significantly improved by weighing the multi-dimensional indicators of energy efficiency

economic benefit

environmental protection

system independence

and sustainability. Through optimization

primary energy conservation rate reaches 46.33%

annual cost efficiency rate is 38.25%

CO emission saving rate is 49.08%

grid integration level is 56.07%

annual total operating cost is $ 3.41×10

and carbon usage effectiveness is 0.62. This study provides a new idea and method for the planning and design of data center energy systems by flexibly adopting multiple energy supply strategies.

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Keywords

references

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