Exploring carbon peak and carbon neutrality pathways for megacities from the perspective of supply and demand synergy: A LEAP simulation of the Beijing case

The transformation of urban energy systems under low-carbon constraints poses profound challenges for megacities, where rapid demand growth and limited local generation capacity often lead to structural imbalances between supply and demand. Using Beijing as a representative case, a refined Low Emission Analysis Platform (LEAP) framework was established to simulate 4 policy and 2 integrated scenarios during 2023–2060, examining how demand growth, supply decarbonization, and systemic resilience co-evolve. This study quantifies the critical supply–demand synergy threshold at the city scale, proposes a staged and temporally explicit decarbonization roadmap, and demonstrates that the energy transition is a dynamic and path-dependent process rather than a linear shift toward carbon neutrality. Specifically, total energy demand peaks around 2030 and then gradually declines, with renewables progressively replacing fossil-based generation to raise the share of non-fossil electricity above 70 % by 2060. The integrated Green Transport–Carbon Capture, Utilization and Storage (GT–CCUS) scenario achieves the earliest and deepest emission reductions, confirming that only the joint advancement of demand-side electrification and supply-side decarbonization—especially through large-scale renewables and CCUS as buffering mechanisms when renewables exceed roughly 50 % of the power mix—produces the most substantive system-wide benefits. Beyond emissions, the findings highlight that decarbonization can advance only upon a stable foundation of energy security and systemic resilience. As electrification accelerates, tensions between expanding demand and constrained supply may evolve from synergy to trade-off, and ultimately to antagonism if not managed adaptively. Ensuring a balanced transition therefore requires reinforcing grid flexibility, local generation reliability, and institutional adaptability to prevent systemic stress from undermining long-term climate goals. Beijing’s experience proves that low-carbon development is not merely a technological substitution but a continual process of negotiating stability, efficiency, and sustainability within an increasingly interdependent urban energy system. • Builds a refined, data-verified LEAP-Beijing model for long-term low-carbon pathways. • Shows CCUS plus renewables ease supply strain and enhance electrification outcomes. • Reveals demand–supply threshold with system states evolving as conditions change. • Frames energy security and resilience as preconditions for effective decarbonization. • Proposes staged, time-bounded decarbonization roadmap for Beijing’s transition.

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Publication Details

Journal
Energy
Published
2026-01-21
DOI
https://doi.org/10.1016/j.energy.2026.140129
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Exploring carbon peak and carbon neutrality pathways for megacities from the perspective of supply and demand synergy: A LEAP simulation of the Beijing case

Binyao Zheng, Zhuang Shao, Yushan Liu, Jing Zhao
Energy
Integrated Energy Systems Optimization
article

Exploring carbon peak and carbon neutrality pathways for megacities from the perspective of supply and demand synergy: A LEAP simulation of the Beijing case

Binyao Zheng, Zhuang Shao, Yushan Liu, Jing Zhao
article en

Abstract

The transformation of urban energy systems under low-carbon constraints poses profound challenges for megacities, where rapid demand growth and limited local generation capacity often lead to structural imbalances between supply and demand. Using Beijing as a representative case, a refined Low Emission Analysis Platform (LEAP) framework was established to simulate 4 policy and 2 integrated scenarios during 2023–2060, examining how demand growth, supply decarbonization, and systemic resilience co-evolve. This study quantifies the critical supply–demand synergy threshold at the city scale, proposes a staged and temporally explicit decarbonization roadmap, and demonstrates that the energy transition is a dynamic and path-dependent process rather than a linear shift toward carbon neutrality. Specifically, total energy demand peaks around 2030 and then gradually declines, with renewables progressively replacing fossil-based generation to raise the share of non-fossil electricity above 70 % by 2060. The integrated Green Transport–Carbon Capture, Utilization and Storage (GT–CCUS) scenario achieves the earliest and deepest emission reductions, confirming that only the joint advancement of demand-side electrification and supply-side decarbonization—especially through large-scale renewables and CCUS as buffering mechanisms when renewables exceed roughly 50 % of the power mix—produces the most substantive system-wide benefits. Beyond emissions, the findings highlight that decarbonization can advance only upon a stable foundation of energy security and systemic resilience. As electrification accelerates, tensions between expanding demand and constrained supply may evolve from synergy to trade-off, and ultimately to antagonism if not managed adaptively. Ensuring a balanced transition therefore requires reinforcing grid flexibility, local generation reliability, and institutional adaptability to prevent systemic stress from undermining long-term climate goals. Beijing’s experience proves that low-carbon development is not merely a technological substitution but a continual process of negotiating stability, efficiency, and sustainability within an increasingly interdependent urban energy system. • Builds a refined, data-verified LEAP-Beijing model for long-term low-carbon pathways. • Shows CCUS plus renewables ease supply strain and enhance electrification outcomes. • Reveals demand–supply threshold with system states evolving as conditions change. • Frames energy security and resilience as preconditions for effective decarbonization. • Proposes staged, time-bounded decarbonization roadmap for Beijing’s transition.

EnergyVol. 347
Beijing Forestry University (CN)
Openalex Percentile: Top 82%
Integrated Energy Systems Optimization
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