Can DAC be measured precisely enough to trade as a carbon credit?
The short answer is yes, but only with the right monitoring systems in place. A 2026 study of 47 pilot implementations of a blockchain-based platform for tokenizing carbon capture outputs found that the system achieved 99.2% accuracy in detecting false carbon capture claims [2]. This same platform reduced the time to issue a carbon credit from the traditional 3–6 months down to minutes, and cut transaction costs by 45% [2]. These figures show that when DAC is paired with modern digital verification tools, the measurement can be both fast and highly reliable.
However, a separate 2026 analysis of six different carbon dioxide removal approaches—including direct air capture with storage (DACCS)—found that current accounting practices are fragmented and inconsistent [3]. The study, which drew on five years of research under the UK GGR-D Programme, concluded that while harmonization across methods is feasible, data coverage is uneven, particularly for non-carbon metrics like water use, land impact, and co-benefits [3]. This means that while the core carbon capture can be verified accurately, the full environmental footprint of a DAC project is often less well-documented, which could undermine the credibility of carbon credits in markets that demand comprehensive sustainability assessments.
What do carbon markets actually require for verification?
Carbon markets—both voluntary and compliance—require robust monitoring, reporting, and verification (MRV) to ensure that each ton of CO2 claimed to be removed has actually been captured and stored permanently. A 2026 analysis of 10 policies and over 45 supporting documents found that the most consistently required criteria across all frameworks are MRV (reporting, verification, recordkeeping), quantification (system boundaries and demonstrable climate benefits), and accounting (registries and tracking) [5]. The study specifically noted that recent certification standards like the Paris Agreement Article 6.4, the Integrity Council for the Voluntary Carbon Market (ICVCM), and the EU Carbon Removal Certification Framework (CRCF) perform best because they have extensive and specific requirements [5].
A 2022 review of DAC technology confirmed that current challenges include the energy intensity, capital cost, and measurement, reporting, and verification of carbon credits [4]. The same review noted that global carbon removal capacity is only about 10,000 tons per year, a tiny fraction of the over 5 billion tons per year that the IPCC says will be needed by 2050 [4]. This means that while verification is technically feasible, the scale of deployment is still far too small for markets to function at the level required for climate goals.
Are there new technologies that make verification more reliable?
Yes, several emerging technologies are directly addressing the verification challenge. The blockchain-based platform described in a 2025 study integrated Internet of Things (IoT) sensors with smart contracts to provide automated verification of carbon capture quantities, eliminating manual auditing [2]. The system processed over 2.3 million tons of verified carbon capture data across 12 countries, with transaction throughput exceeding 10,000 operations per second [2]. This demonstrates that real-time, automated verification is not just theoretical—it is already operating at scale.
Another 2026 study proposed an intelligent control framework for solar-powered DAC that uses machine learning and robust sliding mode control to optimize system performance [1]. In a 10 kW pilot-scale test, this framework kept the carbon capture rate above 85% even in weak sunlight, reduced voltage fluctuations by 67%, and cut the levelized cost of carbon capture by 31% over a 20-year operation cycle [1]. While this study focused on operational efficiency rather than market verification, it shows that the underlying capture process can be made stable and predictable—a prerequisite for accurate verification.
About These Sources
This answer is built on 5 peer-reviewed studies — published from 2022 to 2026, 4 from 2024 or later — selected as the most relevant from 5 studies that passed quality screening, drawn from 48 papers retrieved from a database of over 500 million.
Sources used in this answer
INTELLIGENT SOLAR-POWERED DIRECT AIR CAPTURE AND ELECTROCHEMICAL CARBON UTILIZATION: A MACHINE LEARNINGENHANCED MULTI-OBJECTIVE OPTIMIZATION AND SLIDING MODE CONTROL FRAMEWORK FOR NET-ZERO INDUSTRIAL DECARBONIZATION
A 2026 study of a 10 kW pilot-scale solar-powered DAC system with machine learning control achieved a carbon capture rate above 85% in weak sunlight, reduced voltage fluctuations by 67%, and cut the levelized cost of carbon capture by 31% over 20 years.
Blockchain-Enabled FinTech Platforms for Tokenizing Carbon Capture Outputs in Mechanical Systems
A 2025 study of 47 pilot implementations of a blockchain-based platform for tokenizing carbon capture outputs found it achieved 99.2% accuracy in detecting false claims, reduced credit issuance time from months to minutes, and cut transaction costs by 45%.
Toward Credible Carbon Dioxide Removal: Harmonized Accounting and Data Gaps Across Six CDR Approaches
A 2026 analysis of six carbon dioxide removal approaches (including DACCS) across five years of UK research found that harmonized accounting is feasible but data coverage is uneven, especially for non-carbon environmental impacts.
Carbon removal – pathways, technologies, and need
A 2022 review noted that current global carbon removal capacity is only ~10,000 tons/year, far below the IPCC's 5+ billion tons/year needed by 2050, and highlighted challenges in measurement, reporting, and verification of carbon credits.
Certification and MRV requirements to operationalise geological offsets in the aviation sector
A 2026 analysis of 10 policies and 45+ documents found that MRV, quantification, and accounting criteria are most consistently required across carbon market frameworks, with recent standards (Paris Agreement 6.4, ICVCM, CRCF) performing best.