The effect of low-carbon processes on industrial excess heat potentials for district heating in the EU: A GIS-based analysis

被引:6
|
作者
Manz, Pia [1 ,2 ]
Fleiter, Tobias [1 ]
Eichhammer, Wolfgang [1 ,2 ]
机构
[1] Fraunhofer Inst Syst & Innovat Res, Breslauer Str 48, D-76139 Karlsruhe, Germany
[2] Univ Utrecht, Copernicus Inst Sustainable Dev, Princetonlaan 8a, NL-3584 Utrecht, Netherlands
来源
SMART ENERGY | 2023年 / 10卷
关键词
Industrial excess heat; Waste heat; District heating; Industrial processes; Geographical information system; Spatial analysis; Energy efficiency; Energy system transformation; ROADMAP EUROPE; SECTOR; TECHNOLOGIES; RECOVERY; RESOURCE; UNION; LEVEL;
D O I
10.1016/j.segy.2023.100103
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Excess heat from industrial processes can be utilized in district heating networks, thereby reducing the primary energy demand and possibly the CO2 emissions for generating district heating. Numerous studies found a substantial potential of industrial excess heat, but have not systematically considered future changes in the energy system that will affect its utilization potential. Industrial production is set to transform to low-carbon processes and district heating needs to be generated without the use of fossil fuels. We quantify industrial excess heat using spatial matching for the EU-27, and considering the impact of the transformation to a climate-neutral energy system. The first step identifies excess heat potentials from energy-intensive industries as point sources, and considers process changes. The subsequent step spatially matches these excess heat potentials to district heating areas using a GIS-based approach. The results show that the amount of available excess heat will decrease significantly due to industry transformation. At the same time, the utilization could be increased due to lower district heating system temperatures and expanding district heating areas, resulting in 3-36 TWh per year. At local level, industrial excess heat can make a significant contribution to the supply of district heating in the future, but the major share will need to come from renewables.
引用
收藏
页数:14
相关论文
共 14 条
  • [1] Decarbonizing District Heating in EU-27+UK: How Much Excess Heat Is Available from Industrial Sites?
    Manz, Pia
    Kermeli, Katerina
    Persson, Urban
    Neuwirth, Marius
    Fleiter, Tobias
    Crijns-Graus, Wina
    SUSTAINABILITY, 2021, 13 (03) : 1 - 31
  • [2] Spatiotemporal and economic analysis of industrial excess heat as a resource for district heating
    Buhler, Fabian
    Petrovic, Stefan
    Holm, Fridolin Muller
    Karlsson, Kenneth
    Elmegaard, Brian
    ENERGY, 2018, 151 : 715 - 728
  • [3] Spatial analysis of renewable and excess heat potentials for climate-neutral district heating in Europe
    Manz, Pia
    Billerbeck, Anna
    Koek, Ali
    Fallahnejad, Mostafa
    Fleiter, Tobias
    Kranzl, Lukas
    Braungardt, Sibylle
    Eichhammer, Wolfgang
    RENEWABLE ENERGY, 2024, 224
  • [4] Effect of the use of industrial excess heat in district heating on greenhouse gas emissions: A systems perspective
    Ivner, Jenny
    Viklund, Sarah Broberg
    RESOURCES CONSERVATION AND RECYCLING, 2015, 100 : 81 - 87
  • [5] Systematic optimization for the utilization of low-temperature industrial excess heat for district heating
    Li, Yemao
    Xia, Jianjun
    Su, Yingbo
    Jiang, Yi
    ENERGY, 2018, 144 : 984 - 991
  • [6] On the benefit of integration of a district heating system with industrial excess heat: An economic and environmental analysis
    Weinberger, Gottfried
    Amiri, Shahnaz
    Moshfegh, Bahram
    APPLIED ENERGY, 2017, 191 : 454 - 468
  • [7] District heating systems based on low-carbon energy technologies in Mediterranean areas
    Lizana, Jesus
    Ortiz, Carlos
    Soltero, Victor M.
    Chacartegui, Ricardo
    ENERGY, 2017, 120 : 397 - 416
  • [8] New low temperature industrial waste heat district heating system based on natural gas fired boilers with absorption heat exchangers
    Sun, Fangtian
    Cheng, Lijiao
    Fu, Lin
    Gao, Junwei
    APPLIED THERMAL ENGINEERING, 2017, 125 : 1437 - 1445
  • [9] Machine learning-based digital district heating/cooling with renewable integrations and advanced low-carbon transition
    Zhou, Yuekuan
    Zheng, Siqian
    Hensen, Jan L. M.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2024, 199
  • [10] Analysis of Low-Carbon Economy Efficiency of Chinese Industrial Sectors Based on a RAM Model with Undesirable Outputs
    Meng, Ming
    Fu, Yanan
    Wang, Tianyu
    Jing, Kaiqiang
    SUSTAINABILITY, 2017, 9 (03):