Carbon Accounting and dMRV are two essential components of carbon data management, but they serve different purposes.
Carbon Accounting, or greenhouse gas accounting, helps an organization calculate and summarise the amount of greenhouse gas emissions generated by its activities over a specific period. This typically covers Scope 1, Scope 2, and Scope 3 emissions.
dMRV, or Digital Monitoring, Reporting and Verification, uses digital systems to monitor, collect, report, and prepare data so that it can be traced and verified. It connects information from its original sources—such as machinery, factories, energy systems, suppliers, or carbon-reduction projects—to the results used for Carbon Accounting, ESG reporting, and the assessment of progress towards Net Zero targets.
Put simply, Carbon Accounting answers the question:
“How much carbon does the organization emit?”
dMRV helps answer a different set of questions:
“Where did that number come from? How was the data collected? Who reviewed and approved it? What evidence supports it, and when was it changed?”
By connecting data, evidence, and process histories, dMRV can make verification more transparent. Auditors no longer need to rely solely on summary figures or explanations from the reporting team. Instead, they can trace the information back to its source and examine the steps taken throughout the process.
Carbon Accounting and dMRV therefore do not replace one another. They work together to make an organization’s carbon data more complete, reliable, transparent, and suitable for business decisions or external verification.
Today, more organizations are taking their carbon footprints and greenhouse gas reporting seriously. This is being driven by Net Zero commitments, investor expectations, requirements from parent companies, and information requests from customers and supply-chain partners.
However, the main challenge for sustainability teams is not always the calculation formula itself. It is often the process of collecting information from multiple sources and departments across the organization.
For example, electricity data may come from the facilities team, fuel consumption from transportation, raw-material information from procurement, and business-travel data from human resources. Supplier information may arrive through Excel files, PDFs, emails, or a variety of different forms.
When the reporting period begins, the sustainability team may spend a significant amount of time following up on missing information, checking completeness, converting units, correcting duplicate entries, and searching for supporting evidence—before the actual emissions calculation can even begin.
This raises an important question: is a Carbon Accounting system alone sufficient, or should the organization also use dMRV to manage the data from its original source?
Before answering that question, it is important to understand the role of each component.
Carbon Accounting, or greenhouse gas accounting, is the process of collecting, calculating, categorising, and reporting the greenhouse gas emissions associated with an organization, product, or activity. Results are generally expressed in carbon dioxide equivalent, or CO₂e.
For organizational greenhouse gas inventories, emissions are commonly divided into three main scopes:
The calculation generally involves multiplying activity data—such as the amount of fuel consumed, electricity used, distance transported, or weight of materials purchased—by an appropriate emission factor.
The results allow organizations to identify their main sources of emissions, establish a base year, set reduction targets, track performance, and use the information in ESG or sustainability reports.
However, the reliability of the results depends heavily on the quality of the source data. Even when the calculation formula is correct, incomplete data, inconsistent units, missing evidence, or a lack of traceability can limit the credibility of the final figures.
This is where dMRV plays an important role.
dMRV stands for Digital Monitoring, Reporting and Verification.
It does not refer to a single off-the-shelf software product. Rather, it is a system and process that uses digital technology to manage information throughout its lifecycle—from collecting data at the source and checking its completeness, to storing evidence, processing calculations, preparing reports, and supporting external verification.
The three main components of dMRV are:
Transparency in the context of dMRV does not mean that all information must be disclosed publicly. It means that authorised stakeholders—such as sustainability teams, management, internal auditors, or external verifiers—can access the information and evidence they need based on their roles.
Critical data should not depend solely on personal files or explanations from a single employee.
The technologies used will vary depending on each organization’s context. They may include:
Organizations do not need to implement every type of technology at once. An effective dMRV solution should be designed around the organization’s data sources, operational processes, applicable standards, and level of readiness.
Transparency in carbon reporting does not come from having highly detailed numbers alone. It comes from being able to explain where those numbers originated, which processes they passed through, and whether supporting evidence is available.
When data is managed through separate Excel files, emails, and folders, reviewers may need to spend considerable time determining:
dMRV can make these processes more visible and easier to verify through several important capabilities.
Energy, fuel, raw-material, or supplier information can be linked to the department, system, facility, or operational source from which it originated.
Invoices, meter photographs, production reports, and supplier documents can be stored alongside the data used in the calculation.
Reviewers can see the activity data, emission factor, units, and calculation steps that produced the final CO₂e result.
The system can record who entered, reviewed, approved, rejected, or returned information for correction.
An audit trail can show when data was changed, its previous and updated values, and the reason for the change.
Stakeholders can access information according to their roles, reducing the risk of unauthorised or undocumented changes.
Together, these capabilities reduce the “black box” nature of verification, in which reviewers see only the final number without visibility into the process behind it. Instead, every step can be explained, examined, and traced.
However, dMRV does not automatically make information accurate or transparent. Organizations still need clear data governance, defined data owners, measurement methods, approval criteria, and quality controls.
Technology helps ensure that these processes are followed consistently and remain traceable.
The main difference lies in the purpose and role of each component within the carbon data management process.
Carbon Accounting focuses on calculating and summarising greenhouse gas emissions. dMRV provides the digital processes required to monitor, collect, validate, and connect information from its original source to the final report.
| Aspect | Carbon Accounting | dMRV |
|---|---|---|
| Primary question | How much greenhouse gas does the organization emit, and which activities generate those emissions? | Where did the figure come from, how was it collected, who reviewed or approved it, and what evidence supports it? |
| Primary objective | Calculate, categorise, and summarise greenhouse gas emissions. | Create a digital process for monitoring, collecting, validating, reporting, and preparing traceable information. |
| Main function | Convert activity data and emission factors into emissions expressed in CO₂e. | Manage data from its source, check completeness, store evidence, define workflows, and record process histories. |
| Information used | Activity data, emission factors, global warming potential values, and relevant calculation rules. | Source data, measurement methods, units, evidence, responsible parties, approval status, change histories, and performance results. |
| Primary output | Greenhouse gas emissions in CO₂e, categorised by scope, activity, business unit, or reporting period. | Connected and traceable datasets and evidence that can be used for calculations, reports, or verification. |
| Data coverage | Primarily focuses on information required for greenhouse gas calculations and inventories. | Covers source data, collection processes, validation, approval, processing, and downstream use. |
| Data frequency | Often calculated monthly, quarterly, or annually, depending on the reporting cycle. | Can support more frequent or near-real-time monitoring, depending on the type of information and technology used. |
| Applications | Carbon footprints, GHG inventories, ESG reporting, sustainability reports, and Net Zero target tracking. | Carbon Accounting, ESG data management, supply-chain data, carbon projects, carbon-reduction monitoring, and verification preparation. |
| Role of technology | Supports calculations, consolidation, analysis, and report generation. | Connects multiple data sources, validates information, stores evidence, manages workflows, creates audit trails, and controls access. |
| Connection to source systems | May use data that has already been collected and prepared through Excel or other systems. | Can connect to ERP systems, procurement platforms, meters, machinery, IoT devices, supplier portals, and other internal systems. |
| Evidence management | Evidence may be attached or stored, depending on the organization’s process and chosen system. | Systematically connects evidence—such as invoices, meter photographs, production reports, or supplier documents—to the relevant information. |
| Review and approval | Focuses on reviewing data, methodologies, and results before reporting. | Can define workflows showing who enters, reviews, approves, rejects, or modifies information at every stage. |
| Traceability | Traceability is possible when source data, methods, and evidence are stored comprehensively. | Designed to connect information from its original source to the final result, making each figure easier to trace. |
| Process transparency | Shows calculation results, assumptions, boundaries, and emissions based on the selected methodology. | Allows authorised stakeholders to see data sources, calculation methods, evidence, responsibilities, approvals, and change histories. |
| What reviewers can see | Calculation results, activity data, emission factors, and assumptions. | The entire data journey—from collection and validation to approval, calculation, and presentation in the final report. |
| Change history | Changes may be tracked through file versions or the calculation system used. | An audit trail can record who changed the information, when it was changed, the original and updated values, and the reason or evidence supporting the change. |
| Accountability | Data and calculation responsibilities are assigned through the organization’s working processes. | Data owners, contributors, reviewers, approvers, and user permissions can be clearly defined. |
| Access control | Depends on the system or tool used for Carbon Accounting. | Access can be controlled by role, department, facility, or data category, determining who can view, add, edit, or approve information. |
| External assurance or verification | Calculation results, activity data, assumptions, and supporting documents are provided for assurance or verification. | Reviewers can access information, evidence, and process histories systematically, improving transparency and reducing the time required to locate documents. |
| Decision-making support | Helps identify major emission sources, compare performance, and establish reduction targets. | Enables teams and management to monitor data status and performance continuously, detect issues earlier, and use information during the year. |
| Limitations when used alone | Even with correct calculations, results may be less reliable when source information is incomplete, unsupported, or untraceable. | Even with effective data management, Carbon Accounting principles are still required to define boundaries, calculation methods, classifications, and emission factors. |
| Role within the organization | Provides the framework and process for determining greenhouse gas emissions. | Provides the data infrastructure and workflows needed to make carbon management more efficient, transparent, and scalable. |
| Relationship between the two | Defines the principles and methods used to calculate carbon impacts. | Provides the data, processes, evidence, and technology that make Carbon Accounting more systematic and traceable. |
A useful comparison is financial reporting.
Carbon Accounting is similar to the process of calculating and summarising financial results. dMRV is similar to the system that stores individual transactions, supporting documents, approval steps, and change histories—making it possible to show transparently where each figure originated.
A summary figure alone may therefore be insufficient when an organization cannot clearly demonstrate its source, calculation method, responsible owner, and supporting evidence.
No. The two cannot directly replace one another.
Although dMRV can collect and process large volumes of information, it still depends on Carbon Accounting principles to define organizational boundaries, select calculation methods, categorise emissions, and apply appropriate emission factors.
Conversely, Carbon Accounting can be performed without a dMRV system, particularly in smaller organizations with relatively simple data sources and no requirement for continuous monitoring.
However, as an organization grows, operates multiple factories, works with large numbers of suppliers, or develops several types of carbon-reduction projects, manual data management can become a significant constraint.
dMRV can elevate Carbon Accounting from a retrospective calculation performed once a year into a more systematic process that allows organizations to monitor progress, detect problems, and make decisions more quickly.
The answer depends on the organization’s objectives, data complexity, and level of readiness.
An organization may begin with Carbon Accounting when it:
In this situation, the priorities should be to establish clear calculation boundaries, create standardised data templates, assign responsibilities, and check the quality of the information before calculation.
dMRV becomes increasingly important when an organization:
For these organizations, Carbon Accounting may provide the final result but may not fully address process efficiency, transparency, and end-to-end traceability.
Carbon Accounting and dMRV do not necessarily need to be implemented as two separate software systems.
In practice, they can operate through a single platform or be connected as part of a broader data ecosystem, depending on the organization’s existing systems.
A typical workflow may look like this:
This structure reduces the need to move information between files, limits duplicate data entry, and creates stronger connections between source data and final reports.
The question organizations should ask may therefore not be:
“Do we need to purchase two systems?”
A more useful question is:
“Can our existing systems and processes connect information from its original source to our carbon-footprint figures completely and traceably?”
Consider an organization that operates several factories and wants to reduce greenhouse gas emissions from energy consumption.
Under a traditional process, each factory may record electricity and fuel information in Excel and send the files to the head office at the end of each month. The sustainability team must then consolidate the files, check the units, and follow up whenever unusual information is identified.
The information is subsequently entered into a Carbon Accounting system, where emissions are calculated and summarised in an annual report.
With dMRV, data can be collected automatically from meters, energy-management systems, or operational systems at each factory. Alternatively, it can be submitted through standardised digital forms.
The system can immediately identify:
Once the information has passed the validation process, the Carbon Accounting component can calculate greenhouse gas emissions by scope and display the results through a dashboard.
The sustainability team no longer has to wait until the end of the year to understand performance. It can monitor which factories are likely to exceed their energy targets and assess whether energy-efficiency projects are delivering measurable reductions.
Many people first encounter dMRV in the context of carbon markets because projects seeking to issue carbon credits must clearly monitor and demonstrate their greenhouse gas reductions or removals.
However, dMRV can support several other areas of corporate sustainability.
Organizations can create a standardised process through which suppliers submit information using the same forms, attach evidence, and complete a review process before the information is used in calculations. This reduces the complexity of receiving many different file formats.
Organizations can monitor the performance of initiatives such as solar rooftops, energy-efficiency programmes, fuel switching, waste reduction, and production-process improvements by comparing actual results with established baselines and targets.
Information that has passed through the dMRV process can be connected to an ESG platform, reducing duplicate data collection and entry while improving consistency across different reports.
For organizations purchasing carbon credits as part of a Net Zero plan, dMRV information can provide greater visibility into the origin of the credits, the monitoring approach, and the evidence supporting the project’s results.
dMRV can make verification more efficient and transparent, but this does not mean that the system can certify the accuracy of its own information in every situation.
Where a methodology or requirement calls for an independent verifier, an external party still plays an important role in evaluating the methodology, information, assumptions, and supporting evidence.
dMRV helps by providing reviewers with structured access to information, making traceability easier, and reducing the time required to locate documents or request clarification.
The quality of a dMRV system therefore depends not only on technology, but also on effective data governance, clearly defined responsibilities, appropriate review procedures, and consistent calculation standards.
Developing dMRV does not require replacing every system at once. Organizations can start with the area that presents the greatest risk or business importance.
Clarify how the information will be used—for example, to calculate a carbon footprint, prepare an ESG report, monitor a Net Zero roadmap, develop a carbon project, or prepare for external verification.
Identify where the information comes from, which departments are involved, which systems or files contain it, who is responsible for it, and how it is currently reviewed.
These may include manually entered information, supplier data, information without supporting evidence, or datasets used in multiple reports.
An organization may select one factory, one category of energy data, or a priority supplier group to test data integration and design the workflow before expanding to other areas.
Once the data-collection process is ready, the organization can connect it to its calculation and reporting systems, creating an end-to-end workflow from the original source to the final output.
This phased approach enables organizations to realise value more quickly, reduce the risks associated with a large initial investment, and adapt the system based on lessons from actual use.
A sustainability transformation cannot be achieved by setting a Net Zero target alone. Organizations need information that shows their current position, progress, and actual results.
Carbon Accounting helps an organization understand its overall greenhouse gas emissions. dMRV strengthens the processes behind those figures, making the information more continuous, transparent, and traceable.
When the two work together, carbon data can move beyond being something used only for annual reporting. It can become information used for planning, performance monitoring, and business decision-making.
This is at the heart of Twin Transformation—advancing digital and sustainability transformation together and using technology not only to improve operational efficiency, but also to create environmental outcomes that can be measured and demonstrated.
PALO IT Thailand combines sustainability expertise with technology and digital-product development capabilities to help organizations design carbon data management systems suited to their real operational context.
Our support can cover:
Organizations do not necessarily need to build an entirely new system. The solution can be designed to extend the tools and platforms already in use and developed progressively based on business priorities.
The objective is not simply to make reporting faster. It is to build a reliable carbon data foundation that can be monitored, verified, and used to support the organization’s Net Zero roadmap.
When carbon data is fragmented, collected from multiple departments, or difficult to trace, PALO IT Thailand’s sustainability and technology specialists can help explore a dMRV approach suited to your organization’s objectives and current level of readiness.