Utilizing data center waste heat in district heating – Impacts on energy efficiency and prospects for low-temperature district heating networks

Utilizing data center waste heat in district heating – Impacts on energy efficiency and prospects for low-temperature district heating networks
复制标题

DOI:
10.1016/j.energy.2017.08.078
复制
发表时间:
2017-12
期刊:
影响因子:
9
通讯作者:
Mikko Wahlroos;Matti Pärssinen;J. Manner;S. Syri
Mikko Wahlroos;Matti Pärssinen;J. Manner;S. Syri
中科院分区:
工程技术1区
文献类型:
--
作者:
Mikko Wahlroos;Matti Pärssinen;J. Manner;S. Syri

文献摘要

被引文献

相似文献

数据中心寻求通过新颖方法提高能源效率并降低成本的解决方案。余热利用被认为是近期的主要趋势之一,尤其是在热能需求较高的北欧国家。本文从数据中心和区域供热网络运营商的角度分析了余热利用。数据中心废热产生的时间是根据现有的数据中心负载曲线来考虑的。对于区域供热网络运营商而言,通过利用 2013 年和 2015 年的实际工厂和热需求数据模拟芬兰埃斯波市的区域供热生产,量化了增加余热利用率的系统级影响。结果表明,在区域供热系统中废热比例较高(即 20-60 MW)的情况下,案例研究中系统级运营成本节省了 0.6-7.3%。利用余热减少了热电联产厂和纯热锅炉的利用时间。分析表明,余热外购定价影响余热利用水平,但所有场景下余热利用运行小时均在95%以上。
Data centers seek solutions to increase energy efficiency and lower costs by novel methods. Waste heat utilization is considered to be one of the major trends in the near future, especially in the Nordic countries, where heat demand is high. In this paper, waste heat utilization was analyzed from the perspectives of both the data center and district heating network operators. Timing of the data center waste heat production was considered based on an existing data center load profile. For the district heating network operator, the system level effects of increased waste heat utilization were quantified by simulating district heating production in the city of Espoo, Finland, with actual plant and heat demand data for 2013 and 2015. Results showed that with high shares of waste heat in the district heating system, i.e. 20–60 MW, the system level operational cost savings were 0.6–7.3% in the case study. Utilizing waste heat decreased utilization hours of both combined heat and power plants and heat-only boilers. The analysis showed that pricing of the procured waste heat affects the utilization level of waste heat, but operational hours of waste heat utilization were over 95% in all scenarios.