7.1 Asia as case study: CDR and net zero ambitions by mid-century
Here, we explain our rationale for focusing on Asia in the current work.
With over 4.75 billion people (in 2023) 65, Asia accounts for about 50% of global primary energy consumption and nearly 60% of global GHG emissions today. In the absence of new climate policies beyond those already existing, the region's global primary fossil fuel consumption and GHG emissions could reach approximately 470 EJ and 40 GtCO2e, respectively, by mid-century. As the world aims to limit global warming to below 1.5-2°C by 2100, insufficient climate ambition from Asia could render even sufficient ambition from the rest of the world ineffective. Therefore, Asia is poised to play a crucial role in the dynamics of global climate mitigation consistent with the Paris Agreement.
Asian countries/regions like China, Japan, South Korea, and India have already announced net-zero emissions deadlines by 2050–2070. However, these ambitions would not be sufficient to achieve a 1.5°C target by 2100 if the rest of the world were to follow similar levels of ambition 52,66. Existing climate ambitions for Asia and the rest of the world would, therefore, need to be increased to enhance the possibility of achieving a temperature change of below 1.5°C by 2100 42. In addition, as a result of its largest share of GHG emissions, the largest share of global CDR deployment, as well as all potential impacts that come with it, would be mainly concentrated in Asia.
7.2 Scenario formulation
7.2.1 Regional assessment and implications
The central scenario in this study follows a pathway in which Asia achieves net-zero GHG emissions by 2050. To attain this goal, total GHG emissions in the region peak before 2025 and then decline linearly to reach net zero by 2050. The rest of the world have been modelled in a similar fashion, but Asia is treated as a separate market in this study. This approach, which is utilized in several existing IAM studies, serves to reduce uncertainty and measurement challenges while facilitating the design of near-term policy scenarios 67. A net zero GHG by 2050 has been modelled over the conventional net zero CO2 pathway in most regional and global studies. This is due to the urgent need for non-CO2 GHG to be concurrently reduced alongside CO2. Mitigating non-CO2 emissions in the short term, up to 2030, has the potential to lower the peak temperature increase throughout this century, thereby reducing the risk of exceeding the 1.5°C threshold. Over the long term, the quantity of residual non-CO2 emissions will ultimately impact the temperature stabilization level when global CO2 emissions achieve a net-zero state 22.
Paired with the central scenario are three different levels of CDR reliance, modeled based on the number of CDR approaches available for deployment, constraints on how much CO2 could be removed at any point in time, and control over the deployment time of CDR approaches. The scenarios are summarized in Table 1.
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In the scenario where the reliance on CDR is modeled as HIGH, the complete suite of six different CDR approaches is deployed from the beginning of policy implementation to the end of 2050. These CDR approaches include AR, Biochar, BECCS, DACCS, DORCS, and ERW, and they are deployed without constraining how much CO2 they can remove from the atmosphere per year.
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In the scenario where the reliance on CDR is modeled as MODERATE, only AR and BECCS are deployed. AR is endogenously deployed, and the rationale for choosing BECCS as the sole novel CDR over other alternatives is because BECCS is the most represented novel CDR in IAM-based studies and has relatively low cost and high maturity. BECCS also has the ability to provide low carbon energy in the electricity, refinery, and hydrogen sectors as it captures CO2. In this scenario, the CDR have been deployed with a specified upper limit on how much CO2 they can remove per year. The deployment of BECCS and AR as well as the upper limit on gross negative emissions begin from 2025 to end of 2050.
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In the scenario where the reliance on CDR is modeled as LOW, only AR is deployed for negative emissions from 2025 to mid-century.
Several Integrated Assessment Models (IAMs) primarily focus on AR and BECCS for modeling negative emissions, with only a limited number capable of modeling DACCS. However, in the current study, the successful integration and modeling of six distinct CDR approaches have been accomplished based on a modified version of the Global Change Assessment Model, GCAM-TJU.
The shared socioeconomic pathways (SSPs) are part of a framework developed by climate scientists to describe different future worlds based on varying socioeconomic conditions. The SSPs outline five broad narratives for future societal development, each with different challenges for mitigation and adaptation to climate change 68–71. The SSP narratives provide context for quantitative modeling and scenario exercises to explore climate policy options. In this work, all scenarios are modelled under SSP2 baseline (where social, economic, and technological trends follow historical patterns), which is taken as a central ‘best-estimate’ case 72.
7.2.2 High CDR reliance (Global implications)
Based on the HIGH scenario, additional sets of scenarios are modeled to investigate the impact of Asia's climate ambitions and socio-economic developments on the world at large. Being the scenario (HIGH) with the most carbon lock-in and devastating impacts on global Earth system, we further investigate how Asia's future decisions could worsen or lessen these negative impacts from high CDR reliance. We look at how a ratcheted or delayed net-zero ambition from Asia would affect the world at large. In these scenarios, the rest of the world attains net-zero GHG emission by 2050, while Asia's varies between 2050–2100. The scenarios investigated in this section are summarized in Table 5
Table 5 Description of scenarios for global implications
Scenario
|
Description
|
CDR availability
|
Constraint on CDR
|
HIGH_2060
|
Same as the main HIGH scenario but with varied net zero GHG emission deadlines. Here, Asia achieves net zero GHG emissions before 2060 whiles the rest of the world achieve it before 2050. In the main scenario, Asia and the rest of the world individually achieve net zero GHG emissions before 2050
|
AR, Biochar, BECCS, DACCS, DORCS, and ERW
|
No constraint. Total gross CO2 removal reaches 12 GtCO2 by 2050
|
HIGH_2070
|
Same as the main HIGH scenario but with varied net zero GHG emission deadlines. Here, Asia achieves net zero GHG emissions before 2070 whiles the rest of the world achieve it before 2050.
|
AR, Biochar, BECCS, DACCS, DORCS, and ERW
|
No constraint. Total gross CO2 removal reaches 12 GtCO2 by 2050
|
HIGH_2080
|
Same as the main HIGH scenario but with varied net zero GHG emission deadlines. Here, Asia achieves net zero GHG emissions before 2080 whiles the rest of the world achieve it before 2050.
|
AR, Biochar, BECCS, DACCS, DORCS, and ERW
|
No constraint. Total gross CO2 removal reaches 12 GtCO2 by 2050
|
HIGH_2090
|
Same as the main HIGH scenario but with varied net zero GHG emission deadlines. Here, Asia achieves net zero GHG emissions before 2090 whiles the rest of the world achieve it before 2050.
|
AR, Biochar, BECCS, DACCS, DORCS, and ERW
|
No constraint. Total gross CO2 removal reaches 12 GtCO2 by 2050
|
HIGH_2100
|
Same as the main HIGH scenario but with varied net zero GHG emission deadlines. Here, Asia achieves net zero GHG emissions before 2100 whiles the rest of the world achieve it before 2050
|
AR, Biochar, BECCS, DACCS, DORCS, and ERW
|
No constraint. Total gross CO2 removal reaches 12 GtCO2 by 2050
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7.3 Model description
The Global Change Analysis Model (GCAM), developed by the Joint Global Change Research Institute (JGCRI), serves as a pivotal tool in the exploration of the consequences and responses to global changes, with a particular focus on climate change. This model is an integrated assessment tool designed to provide comprehensive insights into the multifaceted impacts of climate change across various regions of the world and diverse sectors of the global economy. The primary objective of GCAM is to facilitate a profound understanding of the potential ramifications of climate mitigation actions, thereby aiding in the formulation of informed and effective policies and international agreements aimed at limiting greenhouse gas emissions.
“GCAM includes representations of five systems: economy, energy, agriculture and land-use, water and climate in 32 geopolitical regions across the globe and the associated land allocation, water use and agriculture production across 384 land subregions and 235 water basins. GCAM operates in 5-year time-steps from 2015 (calibration year) to 2100 by solving for the equilibrium prices and quantities of various energy, agricultural, water, land-use and GHG markets in each time period and in each region. GCAM is a dynamic recursive model. Hence, solutions for each modelling period only depend on conditions in the last modelling period. Outcomes of GCAM are driven by exogenous assumptions about population growth, labour participation rates and labour productivity in the 32 geopolitical regions, along with representations of resources, technologies and policy. GCAM tracks emissions of 24 gases, including GHGs, short-lived species and ozone precursors, endogenously based on the resulting energy, agriculture and land-use systems as discussed in the following subsections” 42.
Assumptions for modelling novel CDR such as DACCS, DORCS, ERW, and biochar are available and well discussed in the works of Fuhrman et al. 26,28 and Bergero et al. 73. Aside from the scenario assumptions discussed in the methodology and development of novel CDR beyond BECCS and DACCS, all other technological and socio-economic parameters match those in the core release of GCAM version 5.4 74. Model parameterization for technologies and resources such as CDR, CCS, primary energy transformation, electricity, industrial energy use, supply curves of CDR and CCS are available in the Supplementary Material. Underlying selected modelling equations for renewable resource supply, technology deployment, demand of transportation service, subsector competition, technology cost, and DAC CDR are also available in the Supplementary Material.