Schlagwort: DACCS

Peer-reviewed Publications

Aliabadi et al. (2026): Carbon Dioxide Removal Options for Energy Transitions: BECCS versus DACCS in Germany

Danial Esmaeili Aliabadi, Sandra Gutjahr, Mohammad Sadr, Matthias Jordan and Daniela Thrän, IN: IEEE, https://doi.org/10.1109/EEM68581.2026.11589592

There is an ongoing debate about whether the authors should heavily invest in variable renewable energy to reduce anthropogenic emissions and utilize surplus electricity for direct air carbon capture and storage (DACCS), or instead prioritize bioenergy with carbon capture and storage (BECCS) to provide system flexibility while simultaneously removing atmospheric emissions. Although DACCS is more costly, achieving ambitious climate targets may ultimately require such extreme mitigation options. In this study, the authors integrate DACCS technology into the stochastic BENOPTex model, which features various BECCS concepts and CO₂ utilization pathways, to investigate the optimal contribution of carbon removal technologies for net-zero energy systems under different conditions in Germany. The risk sensitivity is formulated using the Value-at-Risk measure.

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Peer-reviewed Publications

Chlela et al. (2026): Land–energy nexus to assess the contribution of carbon dioxide removal in net-zero emission pathways

Sophie Chlela, Nicklas Forsell and Sandrine Selosse, IN: Applied Energy, https://doi.org/10.1016/j.apenergy.2026.128215

The land and energy sectors can provide efficient mitigation solutions for climate change through different types of solutions including Carbon Dioxide Removal. Given the strong interdependencies between these sectors, an integrated assessment is relevant to ensure both physical feasibility and economic viability. To achieve the temperature increase limitations set out in the Paris Agreement, biomass-based solutions constitute a potential avenue for the sectoral decarbonization of the energy system. This study addresses these interactions by linking two Integrated Assessment Models (IAMs): TIAM-FR, which represents the global energy system, and GLOBIOM-G4M, which models global land-use dynamics.

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Peer-reviewed Publications

Xu et al. (2026): Integrating vision transformers with multi-criteria analysis for direct air capture and CO₂ storage (DACCS) siting

Yifan Xu, Mrityunjay Singh, Cornelia Schmidt-Hattenberger, Marton Pal Farkas and Tomas Fernandez-Steeger, IN:Carbon Capture Science & Technology, https://doi.org/10.1016/j.ccst.2026.100647

Direct air capture with geological storage (DACCS) is a promising carbon dioxide removal pathway, but siting remains a multi-dimensional planning problem spanning energy supply, CO₂ transport and storage, environmental constraints, and social and regulatory feasibility. Existing DACCS siting studies either rely on region-specific GIS-MCDA workflows that are costly to rebuild and difficult to transfer across regions, or require deployment-derived labels that are scarce due to limited large-scale DACCS deployment. Here the authors introduce a hybrid, transparent siting framework that couples a PESTLE-grounded (Political, Economic, Social, Technological, Legal, Environmental) GIS-based multi-criteria decision analysis with an earth-observation surrogate model. Using the North German Basin and the German North Sea as a case study, they (1) operationalize PESTLE dimensions into spatially explicit exclusion masks and opportunity layers for both onshore and offshore siting and generate high-resolution reference suitability maps, and (2) train a deep regression model that predicts suitability directly from globally available Sentinel-2 imagery.

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Peer-reviewed Publications

Bolongaro et al. (2026): Life cycle assessment of solid calcium-looping direct air capture and its synergistic dual use for net-negative cement

Vittoria Bolongaro, David Yang Shu, Noah McQueen and André Bardow, IN: Chem Circularity, https://doi.org/10.1016/j.checc.2026.100037

Calcium-looping direct air carbon capture and storage (DACCS) is a mature technology with potential for gigatonne-scale carbon dioxide removal (CDR), yet its environmental impacts remain insufficiently quantified. Here, the authors present the first prospective life cycle assessment of large-scale calcium-looping DACCS based on primary industrial data.

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Peer-reviewed Publications

Nishiura et al. (2026): Development of a computable general equilibrium model representing direct air capture and carbon dioxide utilization

Osamu Nishiura, Shinichiro Fujimori and Ken Oshiro, IN: Energy and Climate Change, https://doi.org/10.1016/j.egycc.2026.100250

The establishment of stringent climate goals resulted in the development of various technologies contributing to climate change mitigation. While most of them were developed, at least partially, for other purposes, carbon dioxide removal (CDR) and carbon dioxide capture, utilization and storage (CCUS) are the only technologies developed solely for the purpose of mitigation. Direct air capture (DAC) contributes to climate-change mitigation through CDR and the supply of low-emission fuels. Integrated assessment models (IAMs) have incorporated the latest mitigation technologies, supporting technology development and deployment as well as climate policy formulation. Most scenario studies targeting DAC have applied IAMs with partial equilibrium models at their core. This study developed a computable general equilibrium (CGE) model capable of analyzing mitigation scenarios considering DAC-related technologies.

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Peer-reviewed Publications

Bernecker & Müsgens (2026): Direct Air Capture in Europe – Where to Integrate, Where to Store, and What Drives Cost?

Maximilian Bernecker and Felix Müsgens, IN: arXiv, https://doi.org/10.48550/arXiv.2604.05990

Direct Air Carbon Capture and Storage (DACCS) can mitigate hard-to-abate emissions, e.g. from transport or industry. However, there is a wide variety of cost estimates for DACCS, driven, to a significant extent, by differences in electricity cost. At the same time, there is a notable gap in research that integrates direct air capturing systems into long-term energy system models. They separate direct air capturing, carbon transport, and carbon storage and integrate them into a European capacity expansion model for a fully decarbonised electricity system in 2050. They explore how two dimensions affect the total system costs of DACCS. The first dimension is the availability of CO₂ storage locations: In one analysis, storage locations are restricted to offshore storage locations in the North Sea only, i.e. depleted natural gas fields. The alternative analysis comprises suitable storage locations distributed across Europe, including onshore.

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Peer-reviewed Publications

Bernecker & Müsgens (2026): Direct Air Capture in Europe – Where to Integrate, Where to Store, and What Drives Cost?

Maximilian Bernecker and Felix Müsgens, IN: arXiv, https://doi.org/10.48550/arXiv.2604.05990

Direct Air Carbon Capture and Storage (DACCS) can mitigate hard-to-abate emissions, e.g. from transport or industry. However, there is a wide variety of cost estimates for DACCS, driven, to a significant extent, by differences in electricity cost. At the same time, there is a notable gap in research that integrates direct air capturing systems into long-term energy system models. The authors separate direct air capturing, carbon transport, and carbon storage and integrate them into a European capacity expansion model for a fully decarbonised electricity system in 2050. The authors explore how two dimensions affect the total system costs of DACCS. The first dimension is the availability of CO₂ storage locations: In one analysis, storage locations are restricted to offshore storage locations in the North Sea only, i.e. depleted natural gas fields. The alternative analysis comprises suitable storage locations distributed across Europe, including onshore.

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Peer-reviewed Publications

Mehnert et al. (2026): Long-term scenarios and energy system impacts of technological carbon dioxide removal deployment in Finland

Johanna Mehnert, Kati Koponen, Tomi Lindroos, Tiina Koljonen and Heidi Kirppu, IN: Environmental Research: Energy, https://doi.org/10.1088/2753-3751/ae57b0

This study analyzed energy system impacts of technological carbon dioxide removal (CDR) deployment in Finland. The authors modeled long-term scenarios up to 2050 for four CDR technologies: bioenergy with carbon capture and storage (BECCS), biochar soil amendment, direct air carbon capture and storage (DACCS), and enhanced weathering of mining rock waste (EW). An integrated energy economic model compiled using the TIMES-model generator was used to produce cost-minimal development scenarios for Finland’s energy system, including CDR technologies. Three scenarios were modeled: one without a specific CDR target and two with low- and high CDR targets.

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Peer-reviewed Publications

Valencia Cotera et al. (2026): Clearing the air: Public sentiment on DACCS in Germany

Rodrigo Valencia Cotera, Paul Bowyer, Lars Buntemeyer, IN: International Journal of Greenhouse Gas Control, https://doi.org/10.1016/j.ijggc.2026.104639

This study conducted a survey to assess the acceptance of DACCS. The survey was conducted in Germany; a country that has historically expressed strong opposition to CO₂ storage. The findings revealed that DACCS is relatively unfamiliar to the public. Benefit perception emerged as the most significant positive determinant of DACCS acceptance, while perceptions of tampering with nature were the strongest negative driver.

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Peer-reviewed Publications

Chiani et al. (2026): The Uncertain Policy Price of Scaling Direct Air Capture

Leonardo Chiani, Pietro Andreoni, Laurent Drouet, Tobias Schmidt, Katrin Sievert, Bjerne Steffen, and Massimo Tavoni,IN: arXiv, https://doi.org/10.48550/arXiv.2603.19143

Direct air carbon capture and storage (DACCS) is a promising CO₂ removal technology, but its deployment at scale remains speculative. Yet, its technological, economic, and policy-related uncertainties have often been overlooked in mitigation pathways. This paper conducts the first uncertainty quantification and global sensitivity analysis of DACCS on technological, market, financial and public support drivers, using a detailed-process Integrated Assessment Model and newly developed sensitivity algorithms.

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