Design of low carbon development path for urban power system based on system dynamics: A case study of Jinan City, China

Yue Xu , Linyu Wu , Qingsong Wang , Song Hu , Linfeng Sun , Peichao Xu , Ah Chung Tsoi , Cheng Peng

Green Energy and Resources ›› 2026, Vol. 4 ›› Issue (2) : 100186

PDF (5601KB)
Green Energy and Resources ›› 2026, Vol. 4 ›› Issue (2) :100186 DOI: 10.1016/j.gerr.2026.100186
Research Article
research-article
Design of low carbon development path for urban power system based on system dynamics: A case study of Jinan City, China
Author information +
History +
PDF (5601KB)

Abstract

The continuous advancement of urbanization is usually accompanied by a steady increase in urban energy consumption. A complex multi-factor influence network is embedded behind this positive correlation. By taking Jinan as the research object, a system dynamics model is constructed, which considers economy, energy, environment and other factors related to the urban power system (UPS). With electricity supply and demand as the clue, the key factors affecting carbon emissions of the UPS are traced. Low-carbon development path for the UPS is also designed. 4 key factors are identified, and they are categorized into 3 regulatory factors: industrial structure, energy storage technology, energy consumption intensity. They are used to design development scenario. In the suitable scenario combination, the GDP of the tertiary sector grows by 7% annually, energy storage equipment prices drop by 7% annually, the electricity consumption per GDP in the secondary sector drop by 3.3% annually. The average carbon emission intensity of the UPS can be reduced to 251.52 kgCO2/104 CNY during 2021-2025. The final suggestion for the UPS low-carbon development path is put forward: “industrial structure→energy consumption intensity→energy storage technology”. These conclusions can provide scientific guidance for the low-carbon development of the UPS.

Keywords

Urban power system / Low-carbon transition / System dynamics / Scenario design

Cite this article

Download citation ▾
Yue Xu, Linyu Wu, Qingsong Wang, Song Hu, Linfeng Sun, Peichao Xu, Ah Chung Tsoi, Cheng Peng. Design of low carbon development path for urban power system based on system dynamics: A case study of Jinan City, China. Green Energy and Resources, 2026, 4 (2) : 100186 DOI:10.1016/j.gerr.2026.100186

登录浏览全文

4963

注册一个新账户 忘记密码

CRediT authorship contribution statement

Yue Xu: Writing – review & editing, Writing – original draft, Visualization, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Linyu Wu: Visualization, Methodology, Formal analysis, Conceptualization. Qingsong Wang: Visualization, Methodology, Formal analysis, Conceptualization. Song Hu: Investigation, Conceptualization. Linfeng Sun: Investigation, Conceptualization. Peichao Xu: Investigation, Conceptualization. Ah Chung Tsoi: Investigation, Conceptualization. Cheng Peng: Investigation, Conceptualization.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This research is supported by Shandong Natural Science Foundation (ZR2023MD079), Jiangsu Provincial Department of Education (25KJB480013).

References

[1]

Ajaj, R., Buniya, M.K., Wuni, I.Y., Yousif, O.S., 2025. A structural equation model of the critical success factors for sustainable smart cities: a case study of Abu Dhabi. J. Urban Manag. 14, 843-855. https://doi.org/10.1016/j.jum.2025.02.008.

[2]

Azizalrahman, H., Hasyimi, V., 2018. Towards a generic multi-criteria evaluation model for low carbon cities. Sustain. Cities Soc. 39, 275-282. https://doi.org/10.1016/j.scs.2018.02.026.

[3]

Chen, L., Yang, H., Xiao, Y., Tang, P., Liu, S., Chang, M., Huang, H., 2024. Exploring spatial pattern optimization path of urban building carbon emission based on low-carbon cities analytical framework: a case study of Xi'an, China. Sustain. Cities Soc. 111, 105551. https://doi.org/10.1016/j.scs.2024.105551.

[4]

Cheng, J., Yi, J., Dai, S., Xiong, Y., 2019. Can low-carbon city construction facilitate green growth? Evidence from China's pilot low-carbon city initiative. J. Clean. Prod. 231, 1158-1170. https://doi.org/10.1016/j.jclepro.2019.05.327.

[5]

Dong, R., Fu, C., Liu, Y., Xu, Y., Li, K., 2025. Modeling China's carbon emission reduction trajectory and peak path using a system dynamic approach. Ecol. Model. 505, 111104. https://doi.org/10.1016/j.ecolmodel.2025.111104.

[6]

Guo, H., Yang, C., Liu, X., Li, Y., Meng, Q., 2018. Simulation evaluation of urban low-carbon competitiveness of cities within Wuhan city circle in China. Sustain. Cities Soc. 42, 688-701. https://doi.org/10.1016/j.scs.2018.04.030.

[7]

Han, T., Gao, Z., Du, W., Hu, S., 2022. Multi-dimensional evaluation method for new power system. Energy Rep. 8, 618-635. https://doi.org/10.1016/j.egyr.2022.03.150.

[8]

Huo, T., Cong, X., Cheng, C., Cai, W., Zuo, J., 2023. What is the driving mechanism for the carbon emissions in the building sector? An integrated DEMATEL-ISM model. Energy 274, 127399. https://doi.org/10.1016/j.energy.2023.127399.

[9]

IEA, 2024. Renewables 2024 analysis and forecasts to 2030. https://www.iea.org/reports/renewables-2024. (Accessed 1 September 2025).

[10]

Jinan Municipal Ecology and Environment Bureau (JEEB) , 2022. Jinan City's new three year action plan for "Four Reductions and Four Increases" (2021-2023). http://jnepb.jinan.gov.cn/art/2022/6/6/art_97368_4785668.html. (Accessed 1 September 2025).

[11]

Li, L., Sun, S., Zhong, L., Han, J., Qian, X., 2025a. Novel spatiotemporal nonlinear regression approach for unveiling the impact of urban spatial morphology on carbon emissions. Sustain. Cities Soc. 125, 106381. https://doi.org/10.1016/j.scs.2025.106381.

[12]

Li, S., Wang, Y., Xu, X., 2025b. Can low-carbon city pilot policy improve urban energy-environmental efficiency? Evidence from China. Energy Rep. 13, 2933-2945. https://doi.org/10.1016/j.egyr.2025.02.020.

[13]

Liu, J., Tian, S., Wang, Q., Xu, Y., Zhang, Y., Yuan, X., Ma, Q., Ma, H., Liu, C., 2023. The regulation path of coal consumption based on the total reduction index-a case study in Shandong Province, China. Energy 262, 125591. https://doi.org/10.1016/j.energy.2022.125591.

[14]

Liu, X., Li, Y., Chen, X., Liu, J., 2022. Evaluation of low carbon city pilot policy effect on carbon abatement in China: an empirical evidence based on time-varying DID model. Cities 123, 103582. https://doi.org/10.1016/j.cities.2022.103582.

[15]

Lu, D., Wenling, Z., Aiping, H., 2025. The impact of pilot low-carbon city policies on urban energy ecological efficiency. Econ. Anal. Pol. 87, 1014-1031. https://doi.org/10.1016/j.eap.2025.07.002.

[16]

Lu, Z., Chen, Y., Fan, Q., 2021. Study on feasibility of photovoltaic power to grid parity in China based on LCOE. Sustain. Basel 13, 12762. https://doi.org/10.3390/su132212762.

[17]

MEE, 2023. Evaluation report on the progress of national low carbon city pilot work. https://www.mee.gov.cn/ywgz/ydqhbh/wsqtkz/202307/t20230713_1036161.shtml. (Accessed 1 September 2025).

[18]

NBS, 2024. China Statistical Yearbook 2024. https://www.stats.gov.cn/sj/ndsj/2024/indexch.htm. (Accessed 1 September 2025).

[19]

NDRC, 2010. Notice from the National Development and Reform Commission on Launching Pilot Projects for Low Carbon Provinces and Cities. https://www.ndrc.gov.cn/xxgk/zcfb/tz/201008/t20100810_964674.html. (Accessed 1 September 2025).

[20]

Pan, K., Liu, B., Luo, J., Wang, Q., Li, J., Tang, L., Xia, X., Wei, Y., 2024. Carbon peak prediction for differentiated cities from a low-carbon perspective: key factors, scenario analysis, and low-carbon pathways. Ecol. Indic. 167, 112629. https://doi.org/10.1016/j.ecolind.2024.112629.

[21]

Polar Energy Storage Network (PESN) , 2023. Energy storage battery prices. https://chuneng.bjx.com.cn/ldc/. (Accessed 1 September 2025).

[22]

SC, 2022. Opinions on supporting Shandong to deepen the conversion of new and old driving forces and promote green, low carbon, and high quality development. https://www.gov.cn/zhengce/content/2022-09/02/content_5708004.htm. (Accessed 1 September 2025).

[23]

SG, 2024. Annual report on low-carbon development of China's power industry. http://www.sgeri.sgcc.com.cn/html/sgeri/gb/yjcg/zxcgjj/642638202502191054000002.shtml. (Accessed 1 September 2025).

[24]

Shen, X., Lin, B., Wang, Z., 2025. Assessing the impact of data factor development on low-carbon energy transition: insights from Chinese cities. Environ. Impact. Asses. 114, 107941. https://doi.org/10.1016/j.eiar.2025.107941.

[25]

SPPG, 2021. Outline of the 14th five year plan for national economic and social development and 2035 long range objectives of Shandong Province. http://www.shandong.gov.cn/art/2021/4/25/art_307618_10330631.html. (Accessed 1 September 2025).

[26]

Tang, M., Hu, F., 2023. Land urbanization and urban CO2 emissions: empirical evidence from Chinese prefecture-level cities. Heliyon 9, e19834. https://doi.org/10.1016/j.heliyon.2023.e19834.

[27]

UN, 2020. Generating power. https://www.un.org/en/climatechange/climate–solutions/cities–pollution. (Accessed 1 September 2025).

[28]

Wang, Y., Fang, X., Yin, S., Chen, W., 2021. Low-carbon development quality of cities in China: evaluation and obstacle analysis. Sustain. Cities Soc. 64, 102553. https://doi.org/10.1016/j.scs.2020.102553.

[29]

Wang, Y.,Zhang, L., Song, Y., Han, K., Zhang, Y., Zhu, Y., Kang, L., 2024. State-of-the-art review on evaluation indicators of integrated intelligent energy from different perspectives. Renew. Sustain. Energy Rev. 189, 113835. https://doi.org/10.1016/j.rser.2023.113835.

[30]

Xiang, Y., Li, L., Peng, G., Liu, J., 2023. Multi-objective investment evaluation for low-carbon power system evolution based on system dynamics. Electr. Pow. Syst. Res. 224, 109781. https://doi.org/10.1016/j.epsr.2023.109781.

[31]

Xie, L., Hui, S., 2025. Low-carbon transition policy and employment structure: evidence from China's low-carbon city pilot. Cities 162, 105985. https://doi.org/10.1016/j.cities.2025.105985.

[32]

Yang, S., He, X., Wang, J., 2025. Bridging the gap or widening disparity? Exploring the impact of low-carbon energy technology innovation on carbon inequality in Chinese cities. Sustain. Cities Soc. 120, 106146. https://doi.org/10.1016/j.scs.2025.106146.

[33]

Zhang, H., Qiu, S., Lin, J., Li, B., Liang, C., Wang, Y., Qi, Z., Jiang, H., Cao, D., Liu, D., 2025. Are cities navigating towards low carbon? A comparative view of China and globe. Sustain. Futures 9, 100697. https://doi.org/10.1016/j.sftr.2025.100697.

[34]

Zhang, S., Dou, W., Ji, R., Afthanorhan, A., Hao, Y., 2024. Can green finance promote the low-carbon transformation of the energy system? New evidence from city-level data in China. J. Environ. Manag. 365, 121577. https://doi.org/10.1016/j.jenvman.2024.121577.

[35]

Zheng, S., Zheng, Y., 2025. Assessing sectoral convergence and influencing mechanisms of carbon intensity in China: insights from quantile regression analysis. Environ. Sustain. Indic. 27, 100739. https://doi.org/10.1016/j.indic.2025.100739.

[36]

Zhou, H., Zhang, P., Luo, Y., Zheng, S., Meng, Q., Liao, K., 2023. Evaluation index system and evaluation method of energy storage and regional power grid coordinated peak regulation ability. Energy Rep. 9, 609-617. https://doi.org/10.1016/j.egyr.2023.05.047.

[37]

Zhou, N., He, G., Williams, C., Fridley, D., 2015. ELITE cities: a low-carbon eco-city evaluation tool for China. Ecol. Indic. 48, 448-456. https://doi.org/10.1016/j.ecolind.2014.09.018.

PDF (5601KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

/