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Diversifying heat sources in China’s urban district heating systems will reduce risk of carbon lock-in

Abstract

China’s clean heating policy since 2017 has notably improved air quality. However, the share of non-fossil sources in China’s urban district heating systems remain low, and many new coal-fired combined heat and power plants are being built. Strategic choices for district heating technologies are necessary for China to reach peak carbon emissions by 2030 and achieve carbon neutrality by 2060. Here we find that replacing polluting coal technologies with new and improved coal-fired combined heat and power plants will lead to substantial carbon lock-in and hinder decommissioning of associated coal-fired electricity generation. Expanding the use of industrial waste heat and air/ground-source heat pumps can avoid the need for new combined heat and power construction and reduce carbon emissions by 26% from 2020 to 2030. Our findings indicate the importance of the government’s recent proposals to decarbonize district heating.

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Fig. 1: Carbon emissions and costs for 15 district heating technologies.
Fig. 2: District heating generation, costs and emissions by sources in 2020 and three scenarios projected for 2030.
Fig. 3: Locked-in coal-fired electricity generation and committed CO2 emissions from existing and new CHP plants during the heating season in high-/mid-/low-coal scenarios from 2020 to 2060.
Fig. 4: Required new coal CHP capacity in the low/mid/high-coal scenarios by 2030 and in the pipeline as of June 2023 in northern China.
Fig. 5: Geographic map of city groups and required infrastructure investments in the low-coal scenario.

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Data availability

Datasets of coal-fired coal power plants, steel plants and nuclear plants were obtained from the Global Energy Monitor (https://globalenergymonitor.org/)19 and recent peer-reviewed literature38. Urban district heating data were retrieved from Chinese Urban Infrastructure Statistical yearbooks39. All data generated in this study are available within the Supplementary Information and Supplementary Data files. Source data are provided with this paper.

Code availability

GCAM-China is an open-source model publicly available at https://github.com/JGCRI/gcam-core/releases and described in a previous paper50. The plant–city matching algorithm is conducted using PuLP 2.7.0, a linear programming model written in Python, available at https://pypi.org/project/PuLP/.

References

  1. Waite, M. & Modi, V. Electricity load implications of space heating decarbonization pathways. Joule 4, 376–394 (2020).

    Article  Google Scholar 

  2. Werner, S. International review of district heating and cooling. Energy 137, 617–631 (2017).

    Article  Google Scholar 

  3. IEA Tracking Clean Energy Progress 2023 (IEA, 2023); https://www.iea.org/reports/tracking-clean-energy-progress-2023

  4. IEA District Energy Systems in China (IEA, 2019).

  5. Zhou, M. et al. Environmental benefits and household costs of clean heating options in northern China. Nat. Sustain https://doi.org/10.1038/s41893-021-00837-w (2021).

    Article  Google Scholar 

  6. National Development and Reform Commission et al. Winter Clean Heating Plan for the Northern Region (2017–2021) (NDRC, 2017).

  7. Meng, W. et al. Differentiated-rate clean heating strategy with superior environmental and health benefits in northern China. Environ. Sci. Technol. 54, 13458–13466 (2020).

    Article  Google Scholar 

  8. Nie, Y., Deng, M., Shan, M. & Yang, X. Clean and low-carbon heating in the building sector of China: 10-year development review and policy implications. Energy Policy 179, 113659 (2023).

    Article  Google Scholar 

  9. Renewable energy heating market feels chilled. China Energy News http://paper.people.com.cn/zgnyb/html/2020-11/09/content_2017699.htm (2020).

  10. Shan, Y. et al. City-level emission peak and drivers in China. Sci. Bull. 67, 1910–1920 (2022).

    Article  Google Scholar 

  11. Wang, Z. et al. Unequal residential heating burden caused by combined heat and power phase-out under climate goals. Nat. Energy https://doi.org/10.1038/s41560-023-01308-6 (2023).

    Article  Google Scholar 

  12. Zheng, W., Zhang, Y., Xia, J. & Jiang, Y. Cleaner heating in Northern China: potentials and regional balances. Resour. Conserv. Recycl. 160, 104897 (2020).

    Article  Google Scholar 

  13. Ramaswami, A. et al. Urban cross-sector actions for carbon mitigation with local health co-benefits in China. Nat. Clim. Change 7, 736–742 (2017).

    Article  Google Scholar 

  14. Guo, S., Jiang, Y. & Hu, S. The pathways toward carbon peak and carbon neutrality in China’s building sector. Chin. J. Urban Environ. Stud. 10, 2250011 (2022).

    Article  Google Scholar 

  15. Energy Transition Investment Trends 2023 (BloombergNEF, 2023).

  16. Drafting Guidelines for Opinions on Promoting Renewable Energy Heating (National Energy Administration, 2017).

  17. Rennert, K. et al. Comprehensive evidence implies a higher social cost of CO2. Nature 610, 687–692 (2022).

    Article  Google Scholar 

  18. China’s National Carbon Market Exceeds Expectations (Refinitiv, 2021); https://www-ams1.qa.refinitiv.cn/zh/blog/chinas-national-carbon-market-exceeds-expectations

  19. Global Coal Plant Tracker June 2023 release, January 2023 release (Global Energy Monitor, 2023).

  20. Qin, Y. et al. Environmental consequences of potential strategies for China to prepare for natural gas import disruptions. Environ. Sci. Technol. 56, 1183–1193 (2022).

    Article  Google Scholar 

  21. Gordon, D. et al. Evaluating net life-cycle greenhouse gas emissions intensities from gas and coal at varying methane leakage rates. Environ. Res. Lett. 18, 084008 (2023).

    Article  Google Scholar 

  22. He, G. et al. Rapid cost decrease of renewables and storage accelerates the decarbonization of China’s power system. Nat. Commun. 11, 3780 (2020).

    Article  Google Scholar 

  23. Wang, Y. et al. Accelerating the energy transition towards photovoltaic and wind in China. Nature 619, 761–767 (2023).

    Article  Google Scholar 

  24. Global Wind Power Tracker May 2023 release (Global Energy Monitor, 2023).

  25. Global Solar Power Tracker May 2023 release (Global Energy Monitor, 2023).

  26. Buonocore, J. J., Salimifard, P., Magavi, Z. & Allen, J. G. Inefficient building electrification will require massive buildout of renewable energy and seasonal energy storage. Sci. Rep. 12, 11931 (2022).

    Article  Google Scholar 

  27. Chen, X. et al. Pathway toward carbon-neutral electrical systems in China by mid-century with negative CO2 abatement costs informed by high-resolution modeling. Joule 5, 2715–2741 (2021).

    Article  Google Scholar 

  28. Frew, B. et al. The curtailment paradox in the transition to high solar power systems. Joule 5, 1143–1167 (2021).

    Article  Google Scholar 

  29. Zhuo, Z. et al. Cost increase in the electricity supply to achieve carbon neutrality in China. Nat. Commun. 13, 3172 (2022).

    Article  Google Scholar 

  30. Huang, P. et al. A review of data centers as prosumers in district energy systems: renewable energy integration and waste heat reuse for district heating. Appl. Energy 258, 114109 (2020).

    Article  Google Scholar 

  31. Yu, M., Li, S., Zhang, X. & Zhao, Y. Techno-economic analysis of air source heat pump combined with latent thermal energy storage applied for space heating in China. Appl. Therm. Eng. 185, 116434 (2021).

    Article  Google Scholar 

  32. Sepulveda, N. A., Jenkins, J. D., Edington, A., Mallapragada, D. S. & Lester, R. K. The design space for long-duration energy storage in decarbonized power systems. Nat. Energy 6, 506–516 (2021).

    Article  Google Scholar 

  33. Navidi, T., El Gamal, A. & Rajagopal, R. Coordinating distributed energy resources for reliability can significantly reduce future distribution grid upgrades and peak load. Joule 7, 1769–1792 (2023).

    Article  Google Scholar 

  34. Fan, J.-L. et al. A net-zero emissions strategy for China’s power sector using carbon-capture utilization and storage. Nat. Commun. 14, 5972 (2023).

    Article  Google Scholar 

  35. Levesque, A., Osorio, S., Herkel, S. & Pahle, M. Rethinking the role of efficiency for the decarbonization of buildings is essential. Joule 7, 1087–1092 (2023).

    Article  Google Scholar 

  36. Gross, R. & Hanna, R. Path dependency in provision of domestic heating. Nat. Energy 4, 358–364 (2019).

    Article  Google Scholar 

  37. Global Steel Plant Tracker March 2022 (v2) release (Global Energy Monitor, 2023).

  38. Guo, Y. et al. Benefits of infrastructure symbiosis between coal power and wastewater treatment. Nat. Sustain 5, 1070–1079 (2022).

    Article  Google Scholar 

  39. Chinese Urban Infrastructure Statistical Yearbook 2020 (Ministry of Housing and Urban–Rural Development, 2020).

  40. Chen, Y. et al. Provincial and gridded population projection for China under shared socioeconomic pathways from 2010 to 2100. Sci. Data 7, 83 (2020).

    Article  Google Scholar 

  41. Wang, R. et al. A high spatial resolution dataset of China’s biomass resource potential. Sci. Data 10, 384 (2023).

    Article  Google Scholar 

  42. Wang, R. et al. Alternative pathway to phase down coal power and achieve negative emission in China. Environ. Sci. Technol. 56, 16082–16093 (2022).

    Article  Google Scholar 

  43. IEA. World Energy Outlook 2019 (IEA, 2019).

  44. Chen, J. et al. Case study on combined heat and water system for nuclear district heating in Jiaodong Peninsula. Energy 218, 119546 (2021).

    Article  Google Scholar 

  45. Li, Y., Chang, S., Fu, L. & Zhang, S. A technology review on recovering waste heat from the condensers of large turbine units in China. Renew. Sustain. Energy Rev. 58, 287–296 (2016).

    Article  Google Scholar 

  46. Roberti, R., Bartolini, E. & Mingozzi, A. The fixed charge transportation problem: an exact algorithm based on a new integer programming formulation. Manage. Sci. 61, 1275–1291 (2015).

    Article  Google Scholar 

  47. Fu, L., Li, Y., Wu, Y., Wang, X. & Jiang, Y. Low carbon district heating in China in 2025—a district heating mode with low grade waste heat as heat source. Energy 230, 120765 (2021).

    Article  Google Scholar 

  48. Myllyvirta, L., Zhang, X. & Dong, L. China’s Climate Transition: Outlook 2022 https://energyandcleanair.org/publication/chinas-climate-transition-outlook-2022/ (2022).

  49. NEA. Blue Book on New Power System Development (National Energy Administration, 2023).

  50. Cui, R. Y. et al. A plant-by-plant strategy for high-ambition coal power phaseout in China. Nat. Commun. 12, 1468 (2021).

    Article  Google Scholar 

  51. Jia, K. Is natural gas power generation right or wrong? China Energy News http://paper.people.com.cn/zgnyb/html/2019-07/01/content_1933774.htm (2019).

  52. Yin, S., Xia, J. & Jiang, Y. Characteristics analysis of the heat-to-power ratio from the supply and demand sides of cities in northern China. Energies 13, 242 (2020).

    Article  Google Scholar 

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Acknowledgements

We thank the Princeton School of Public and International Affairs at Princeton University for supporting S.L., the Schmidt Science Fellows in partnership with the Rhodes Trust for supporting Y.G. and the National Natural Science Foundation of China (number 72273102) for supporting H.L.

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Authors

Contributions

S.L. and D.L.M. conceived the idea for this project and designed the research. S.L. performed the research. Y.G. and F.W. contributed to method design and analysis. Y.G., H.L. and R.Y.C. contributed data. S.L. and D.L.M. wrote the manuscript with feedback from all other authors.

Corresponding author

Correspondence to Denise L. Mauzerall.

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The authors declare no competing interests.

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Nature Energy thanks the anonymous reviewers for their contribution to the peer review of this work.

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Supplementary information

Supplementary Information

Supplementary Notes 1–3, Tables 1–11 and Figs. 1–10.

Supplementary Table 1

Detailed city-level results.

Source data

Source Data Fig. 1

Statistical source data.

Source Data Fig. 2

Statistical source data.

Source Data Fig. 3

Statistical source data.

Source Data Fig. 4

Statistical source data.

Source Data Fig. 5

Statistical source data.

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Liu, S., Guo, Y., Wagner, F. et al. Diversifying heat sources in China’s urban district heating systems will reduce risk of carbon lock-in. Nat Energy (2024). https://doi.org/10.1038/s41560-024-01560-4

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