Energy Transition

Abstract: With companies, states, and countries targeting net-zero emissions around midcentury, there are questions about how these targets alter household welfare and finances, including distributional effects across income groups. This paper examines the distributional dimensions of technology transitions and net-zero policies with a focus on welfare impacts across household incomes. The analysis uses a model intercomparison with a range of energy-economy models using harmonized policy scenarios reaching economy-wide, net-zero CO2 emissions across the United States in 2050. We employ a novel linking approach that connects output from detailed energy system models with survey microdata on energy expenditures across income classes to provide distributional analysis of net-zero policies.

Although there are differences in model structure and input assumptions, we find broad agreement in qualitative trends in policy incidence and energy burdens across income groups. Models generally agree that direct energy expenditures for many households will likely decline over time with reference and net-zero policies. However, there is variation in the extent of changes relative to current levels, energy burdens relative to reference levels, and electricity expenditures. Policy design, primarily how climate policy revenues are used, has first-order impacts on distributional outcomes. Net-zero policy costs, in both absolute and relative terms, are unevenly distributed across households, and relative increases in energy expenditures are higher for lowest-income households. However, we also find that recycled revenues from climate policies have countervailing effects when rebated on a per-capita basis, offsetting higher energy burdens and potentially even leading to net progressive outcomes. Model results also show carbon Laffer curves, where revenues from net-zero policies increase but then decline with higher stringencies, which can diminish the progressive effects of climate policies. We also illustrate how using annual income deciles for distributional analysis instead of expenditure deciles can overstate the progressivity of emissions policies by overweighting revenue impacts on the lowest-income deciles.

Duration

Two years

Motivation

• Under a global, low-carbon economy driven by hydrogen-based energy technologies, leakages at unprecedented scales are inevitable.

• Atmospheric H2 is largely controlled naturally by global soil sinks. The secondary H2 sink is reaction with atmospheric hydroxyl radical (OH).

• Soil micro-biotic & geophysical processes have nonlinear effects on H2 uptake controlled by temperature and moisture. These controls can weaken future soil H2 consumption under climate change.

Abstract: The role of negative emissions in achieving deep decarbonization targets has been demonstrated through Integrated Assessment Models (IAMs). While many studies have focused on bioenergy with carbon capture and storage (BECCS), relatively little attention has been given to direct air capture (DAC) in IAMs beyond assessing the role of low-cost DAC with carbon storage (DACCS). In this study, we employ an economywide model to more fully explore the potential role of DAC, considering the full range of cost estimates ($180-$1,000/tCO2), DAC units supplied by either dedicated renewables or grid electricity, and both the storage of captured CO2 (DACCS) or its utilization (DACCU) to produce fuels.

Our results show that the deployment of DAC is driven by its cost and is dominated by DACCS, with little deployment of DACCU. We analyze the technical and policy conditions making DACCS compete with BECCS, investigating scenarios in which BECCS is limited and there is no emissions trading across countries. With an international emissions trading system (ETS), we find that Africa takes advantage of its large and cheap renewable potential to export emissions permits and contributes more than half of total global negative emissions through DAC. However, DAC also proves essential when no ETS is available, particularly in Asian countries due to scarce and expensive access to land and bioenergy.

Our analysis provides a comprehensive evaluation of the impact of DAC on the power system, economy, and land use.

Highlights

  • The deployment of DAC should be discussed relative to its cost.

  • DAC is deployed at scale at a cost lower than $400/tCO2 in our baseline.

  • Limiting BECCS and international emissions trading increases DAC deployment.

  • DAC stresses the power sector and land use locally but provides economic benefits.

     

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