08/05/2026
ESG & Sustainability Reporting
If you are a CFO, CSO, or Operations Director at an industrial company in Asia, you have likely heard the term carbon footprint more times than you can count. But knowing the term and knowing how to calculate it for your organisation are two very different things. The gap between awareness and actionable data is where most companies stall, and it is the gap we want to help you close.
A corporate carbon footprint is the total amount of greenhouse gases that your organisation releases into the atmosphere, expressed as carbon dioxide equivalent (CO2e). This figure captures not only the emissions from your own operations but also those embedded in the energy you purchase and the broader value chain that supports your business.
To measure this comprehensively, the global standard is the Greenhouse Gas Protocol, developed by the World Resources Institute and the World Business Council for Sustainable Development. It organises corporate emissions into three distinct scopes, each with its own measurement methodology and data requirements.
Scope 1 emissions are the most straightforward to measure. They are the greenhouse gases released directly from sources that your company owns or controls. In a manufacturing context, this typically includes:
– Combustion of natural gas, diesel, or fuel oil in boilers, furnaces, and process heaters
– Emissions from company-owned vehicles, including delivery fleets and on-site mobile equipment
– Fugitive emissions from refrigeration systems, air conditioning units, or industrial processes
– Chemical reactions during production, such as those in cement or petrochemical manufacturing
For a semiconductor fabrication facility in Taiwan, Scope 1 might include the natural gas burned in cleanroom heating systems and the fluorinated gases used in etching and cleaning processes. For a steel plant in Thailand, it would encompass the coke and coal combustion in blast furnaces and the emissions from on-site power generation.
The calculation methodology is relatively direct. You multiply your activity data, such as the volume of natural gas consumed or the litres of diesel burned, by the relevant emission factor. These factors are published by bodies such as the Intergovernmental Panel on Climate Change (IPCC), national environmental agencies, and the International Energy Agency (IEA).
The challenge is not complexity. It is data accuracy. If your natural gas consumption is recorded from monthly invoices rather than from continuous meter readings, you are working with estimates rather than actuals. For a facility consuming thousands of megawatt-hours of energy per month, even small measurement gaps can translate into significant emissions discrepancies.
Scope 2 covers the indirect emissions from the generation of purchased electricity, steam, heating, and cooling that your company consumes. Although these emissions occur at the power plant or district heating facility rather than on your site, they are attributed to your organisation because you are the consumer.
The GHG Protocol requires companies to report Scope 2 emissions using two methods:
– Location-based reporting uses the average emission factor for the grid region where your facility is located. This reflects the physical emissions intensity of the local electricity system. In Singapore, for example, the grid emission factor reflects the country’s mix of natural gas power generation, while in Thailand it includes a higher proportion of coal and lignite.
– Market-based reporting uses emission factors that reflect the specific electricity products you have purchased. If your company has procured renewable energy certificates or signed a green power purchase agreement, the market-based figure can be significantly lower than the location-based figure.
This distinction matters for companies operating across multiple Asian markets. A manufacturing group with facilities in Singapore, Taiwan, Thailand, and Indonesia will face very different grid emission factors in each country, and the way it procures electricity in each location will affect its market-based Scope 2 total.
For many industrial companies, Scope 2 emissions represent the second-largest category after Scope 3. In energy-intensive sectors such as semiconductor manufacturing, where fabs run continuously and require enormous amounts of power for cleanroom operations, Scope 2 can be a substantial portion of the total. Accurate measurement requires granular, time-stamped electricity consumption data, ideally captured at the meter level rather than estimated from aggregate billing records.
Scope 3 is where the measurement challenge intensifies. It covers all other indirect emissions in your value chain, both upstream and downstream. The GHG Protocol defines 15 Scope 3 categories, which can be grouped into upstream activities (everything that happens before your product reaches you) and downstream activities (everything that happens after your product leaves you).
Upstream categories include purchased goods and services, capital goods, fuel and energy-related activities not covered in Scope 1 or 2, upstream transportation, waste generated in operations, business travel, employee commuting, and upstream leased assets.
Downstream categories include transportation and distribution, processing of sold products, use of sold products, end-of-life treatment of sold products, downstream leased assets, franchises, and investments.
For most industrial companies, Scope 3 emissions represent the largest share of their total carbon footprint, often 70% to 90% of the total. This is particularly true for manufacturers in Asia whose supply chains span multiple countries and whose products are exported globally. The sheer number of data sources, the reliance on supplier cooperation, and the complexity of allocation methodologies make Scope 3 the most demanding aspect of corporate carbon accounting.
We will explore the specifics of Scope 3 measurement in the next section, but the key takeaway here is this: understanding your corporate carbon footprint means understanding all three scopes. Ignoring Scope 3 does not make those emissions disappear. It simply means you are measuring a fraction of your true climate impact.
Scope 3 emissions are, by almost every measure, the most difficult part of a corporate carbon footprint to quantify. They require you to look beyond your own facilities and engage with a network of suppliers, customers, logistics providers, and other partners whose data you do not directly control. For many organisations, this feels like an overwhelming prospect.
But the regulatory and commercial reality is clear: Scope 3 disclosure is no longer optional. The International Sustainability Standards Board (ISSB) standards, IFRS S1 and IFRS S2, require disclosure of material Scope 3 emissions. The Singapore Exchange (SGX) has signalled alignment with ISSB requirements. The European Union’s Corporate Sustainability Reporting Directive (CSRD) and the Carbon Border Adjustment Mechanism (CBAM) both create direct commercial consequences for companies that cannot account for their value chain emissions.
The GHG Protocol’s Corporate Value Chain (Scope 3) Standard defines 15 categories. Understanding which of these are material to your business is the essential first step.
For a petrochemical company operating in Singapore and Malaysia, the most material categories are likely to be:
Category 1: Purchased goods and services — This includes the raw materials, chemicals, and intermediate products purchased for production. For petrochemical operations, feedstocks and catalysts are typically the largest contributor.
Category 4: Upstream transportation and distribution — This covers the movement of raw materials to your facilities and intermediate products between sites.
Category 11: Use of sold products — For companies producing fuels, chemicals, or materials that release emissions when used by customers, this category can be the single largest source of Scope 3 emissions.
For a semiconductor manufacturer in Taiwan, the material categories might look different:
Category 1: Purchased goods and services — Silicon wafers, specialty gases, photoresists, and other high-purity materials with significant embodied emissions.
Category 4: Upstream transportation and distribution — Many semiconductor inputs are sourced globally and require air freight, which has a high emission factor per tonne-kilometre.
Category 5: Waste generated in operations — Semiconductor fabs generate hazardous waste, including spent chemicals and solvents, which carry significant treatment and disposal emissions.
For a steel manufacturer in Thailand exporting to the European Union:
Category 1: Purchased goods and services — Iron ore, coking coal, and alloying materials.
Category 3: Fuel and energy-related activities — The extraction, production, and transportation of fuels consumed on-site but whose combustion emissions are already captured in Scope 1.
Category 12: End-of-life treatment of sold products — The emissions associated with recycling or disposing of steel products at the end of their useful life.
There are several approaches to collecting Scope 3 data, each with different levels of accuracy and effort. The GHG Protocol describes them as follows, from most to least precise:
Primary data comes directly from your suppliers or value chain partners. This might include specific emissions data reported by a supplier, or activity data such as the weight of materials shipped and the distance travelled, which you then convert using emission factors. Primary data provides the most accurate results but requires the most effort to collect.
Secondary data uses industry-average emission factors, published databases, or proxy data to estimate emissions. For example, rather than collecting specific data from each of your 200 suppliers, you might use average emission factors for the materials you purchase, published in databases such as DEFRA’s conversion factors or the Ecoinvent life cycle database.
In practice, most organisations use a combination of both. They focus primary data collection on their most material categories and largest suppliers, where accuracy matters most, and use secondary data for less material categories where the effort of primary collection would not be proportionate to the improvement in accuracy.
The important thing is to be transparent about your methodology. Regulators and assurance providers expect you to document which categories you have included, which data sources you have used, and what assumptions you have made. This is where the distinction between a credible carbon footprint and a rough estimate becomes clear.
The single greatest barrier to Scope 3 accounting is supplier data. Your carbon footprint depends on the accuracy of data provided by dozens, sometimes hundreds, of suppliers, many of whom may never have measured their own emissions.
For Asian manufacturers supplying global brands, this is both a challenge and an opportunity. Major multinational corporations are increasingly requiring their suppliers to report emissions data as a condition of doing business. Companies that can provide accurate, verified Scope 3 data are better positioned to retain contracts and win new ones.
We recommend a phased approach to supplier engagement:
1. Identify your most material suppliers — Conduct a spend analysis to determine which suppliers account for the largest share of your purchased goods and services emissions. Typically, 20% of suppliers account for 80% of Category 1 emissions.
2. Request emissions data from priority suppliers — Start with your largest suppliers and those in the most carbon-intensive categories. Provide them with clear templates and guidance on what data you need.
3. Use industry averages as a fallback — For suppliers that cannot provide primary data, use published emission factors. Document the methodology so that you can improve accuracy over time.
4. Set expectations for future reporting — Include emissions reporting requirements in supplier contracts and procurement policies. This creates a structured mechanism for data improvement.
The companies that start this process early will have a significant advantage. As Scope 3 disclosure requirements tighten across Asia and globally, organisations with established supplier data collection processes will be able to respond quickly, while those starting from scratch will face a steep and time-consuming climb.
When organisations first begin measuring their carbon emissions, the natural starting point is often a spreadsheet. It is familiar, flexible, and appears to cost nothing. For a single facility with a handful of emission sources, a spreadsheet may suffice as a temporary measure. But as soon as you scale beyond a single site, add Scope 3 categories, or face external audit requirements, spreadsheets become a liability rather than a tool.
We see this pattern frequently in the organisations we work with. A CFO asks the sustainability team to produce a carbon footprint report. The team builds a spreadsheet, populates it with data from utility bills and fuel purchase records, and produces a number. On the surface, this looks like progress. Beneath the surface, it creates several serious problems.
Spreadsheets rely on manual data entry. Every number is typed, copied, or pasted by a person, and every manual process introduces the possibility of error. Transposition mistakes, incorrect unit conversions, outdated emission factors, and formula errors are common and often difficult to detect.
In our experience, companies that move from spreadsheet-based accounting to automated, IoT-connected systems frequently discover that their actual emissions are 20% to 30% different from what they had been reporting. This is not because anyone made a deliberate error. It is because spreadsheets accumulate small inaccuracies that compound over time.
When the discrepancy is an understatement, the company faces the risk of regulatory non-compliance and reputational damage if the true figure emerges during an audit. When the discrepancy is an overstatement, the company may be setting unnecessarily aggressive reduction targets and investing in abatement measures that are not warranted by the actual data.
One of the most significant limitations of spreadsheets is the lack of an audit trail. In a spreadsheet, it is often impossible to trace a reported emissions figure back to the original source data. Was this number based on a utility invoice, a meter reading, or an estimate? Which emission factor was applied, and which version of that factor was current at the time?
For assurance providers, this lack of traceability is a red flag. Bureau Veritas, the global verification body, and other accredited auditors need to verify not just the final number but the entire data chain from source to report. Spreadsheets make this verification process labour-intensive and uncertain.
As reporting requirements expand across Asia, the demand for third-party verification is growing. Singapore-listed companies are aligning with ISSB standards, which emphasise data quality and traceability. The European CSRD requires limited assurance on sustainability reports, moving towards reasonable assurance over time. In this environment, a spreadsheet that cannot demonstrate where its numbers came from is a compliance risk.
Consider the practical reality of a manufacturing group with facilities in Singapore, Taiwan, Thailand, Indonesia, and Malaysia. Each facility has multiple emission sources across Scopes 1, 2, and 3. Each country has different emission factors, different utility billing formats, and different reporting currencies. The sustainability team needs to consolidate all of this into a single, coherent report.
In a spreadsheet, this means multiple worksheets, complex consolidation formulas, manual data transfers between files, and version control issues that multiply with every additional data point. The process is time-consuming, fragile, and prone to breaking when any variable changes.
A purpose-built carbon accounting platform, by contrast, handles multi-site aggregation natively. It applies the correct emission factors based on geography and fuel type automatically. It maintains version history and data lineage. It generates reports in the format required by specific frameworks and regulators, all from a single source of truth.
Perhaps the most fundamental limitation of spreadsheets is that they are inherently backward-looking. They work with data that has already been collected, processed, and entered. By the time a spreadsheet-based carbon footprint is complete, it may reflect conditions from months or even years ago.
For operations teams trying to optimise energy use and reduce emissions, this time lag is a serious handicap. If you discover in your annual report that a particular process was consuming 30% more energy than expected, you have lost a year of potential savings. The opportunity to intervene, investigate, and correct has passed.
Modern carbon accounting is moving towards continuous monitoring, where real-time data from sensors and meters feeds directly into the accounting platform. This approach enables operators to identify anomalies as they occur, rather than months later, and to make adjustments that have an immediate impact on both emissions and costs.
The transition from periodic, spreadsheet-based carbon accounting to continuous, data-driven emissions monitoring is being enabled by two complementary technologies: the Internet of Things (IoT) and edge computing. Together, they allow industrial organisations to capture, process, and act on emissions data in real time, transforming carbon accounting from an annual reporting exercise into an operational intelligence capability.
IoT sensors are devices that measure physical parameters such as energy consumption, temperature, pressure, flow rate, and gas concentration, and transmit that data to a central system for analysis. In the context of carbon accounting, IoT sensors serve as the eyes and ears of your emissions measurement system.
A typical industrial IoT deployment for carbon accounting might include:
– Electricity meters at the main intake point and at major equipment level, capturing real-time power consumption in kilowatt-hours
– Gas flow meters on natural gas supply lines to boilers and furnaces, measuring combustion input volume
– Fuel level sensors on diesel storage tanks and backup generators, tracking fuel consumption
– Temperature and pressure sensors on process equipment, providing data that can be used to calculate energy efficiency and identify waste
– Environmental sensors measuring ambient conditions that affect process efficiency and energy use
The key advantage of IoT sensors over manual meter readings is frequency and precision. Where a manual reading might capture a single data point once a month, an IoT sensor can capture readings every second, providing a continuous stream of operational data. This granularity reveals patterns and anomalies that periodic sampling would miss entirely.
For a semiconductor fab in Taiwan running 24 hours a day, seven days a week, continuous monitoring means that every shift, every batch process, and every equipment state change is captured. This level of detail is invaluable for identifying energy waste, such as equipment running at full power during idle periods, and for correlating emissions with production output to calculate accurate intensity metrics.
Edge computing refers to processing data at or near the point of collection, rather than sending all data to a central cloud for processing. In industrial environments, edge computing serves several important purposes.
First, it reduces latency. When a sensor detects an anomaly, such as a sudden spike in energy consumption that could indicate equipment malfunction, edge processing enables an immediate response. Waiting for data to travel to the cloud, be processed, and return an alert could introduce unacceptable delays in a safety-critical or energy-intensive environment.
Second, it reduces bandwidth requirements. Industrial IoT deployments can generate enormous volumes of data. Processing and filtering that data at the edge, sending only the relevant summaries and alerts to the cloud, significantly reduces network costs and improves system reliability.
Third, it enhances data security. By processing sensitive operational data locally and transmitting only anonymised or aggregated results, edge computing reduces the attack surface and helps organisations meet data protection requirements.
Evercomm’s NxOps platform is designed with this architecture in mind. It deploys edge computing capabilities at the facility level to process sensor data locally, perform initial quality checks, and transmit validated data to the cloud-based carbon accounting system. This approach ensures that the data feeding into emissions calculations is accurate, complete, and timely, supporting the production of actionable data that operations teams can trust.
The true value of IoT and edge computing in carbon accounting is not just in measurement. It is in the optimisation opportunities that continuous, granular data reveals.
When you have real-time visibility into energy consumption at the equipment level, you can identify specific inefficiencies and address them. A compressor running above its optimal pressure band. A cooling system fighting itself because set points are misaligned. A furnace operating at a higher temperature than the process requires. These are common findings in industrial facilities, and each one represents both unnecessary emissions and unnecessary cost.
Across our client base in Singapore, Taiwan, and Thailand, we have seen organisations achieve up to 40% energy savings by using continuous IoT monitoring to identify and eliminate these inefficiencies. These savings flow directly to the bottom line, meaning that the investment in monitoring technology pays for itself through operational cost reduction.
Furthermore, the real-time data captured by IoT sensors feeds directly into carbon accounting platforms, ensuring that your emissions inventory is based on actual operational data rather than estimates. This improves the accuracy and verifiability of your carbon footprint, supporting both compliance and the production of assured reports that withstand third-party scrutiny.
The regulatory landscape for carbon emissions is shifting rapidly, and Asian manufacturers are increasingly caught in the crosscurrents of policies designed in other jurisdictions. The most significant of these, for the purposes of this discussion, is the European Union’s Carbon Border Adjustment Mechanism (CBAM). But it is not the only one. Singapore’s own carbon tax, regional trading schemes, and the prospect of border adjustments in other markets all create a complex web of compliance requirements that industrial organisations must navigate.
CBAM is the EU’s mechanism for putting a fair price on the carbon emitted during the production of carbon-intensive goods that are imported into the EU. It is designed to prevent what the EU terms ‘carbon leakage’, the situation where companies relocate production to countries with weaker climate policies to avoid the cost of EU carbon pricing.
Under CBAM, importers of certain goods must purchase CBAM certificates corresponding to the carbon price that would have applied if those goods had been produced under the EU Emissions Trading System (EU ETS). The covered products include iron and steel, aluminium, cement, fertilisers, electricity, and hydrogen, with potential expansion to organic chemicals, polymers, and other sectors in the coming years.
For Asian manufacturers exporting these products to the EU, the implications are direct and material:
– You must measure the embedded emissions in your products. CBAM requires importers to declare the direct emissions (Scope 1) and, in some cases, indirect emissions (Scope 2) embedded in imported goods. This means that manufacturers need accurate, verifiable emissions data at the product level, not just at the facility level.
– Verified data commands a financial advantage. If you can demonstrate that your production process is less carbon-intensive than the EU default value for your product category, you pay for fewer CBAM certificates. Accurate measurement directly translates into lower import costs.
– The reporting requirements are phased. CBAM entered a transitional phase in October 2023, during which importers must report embedded emissions but are not yet required to purchase certificates. The financial obligation begins in 2026. This transitional period is the window for Asian manufacturers to build the measurement and reporting capabilities they will need.
For a steel manufacturer in Thailand, a cement producer in Indonesia, or an aluminium smelter in Malaysia, CBAM creates an immediate commercial imperative to measure and report emissions accurately. Companies that have invested in proper carbon accounting infrastructure will be able to comply efficiently and potentially gain a cost advantage over competitors that have not.
Singapore was the first country in Southeast Asia to implement a carbon tax, which took effect in 2019. The tax initially applied to facilities emitting 25,000 tonnes or more of CO2 equivalent annually, with a rate of SGD 5 per tonne. The rate increased to SGD 25 per tonne in 2024 and is scheduled to rise to SGD 50 per tonne by 2026, with a projected trajectory towards SGD 50 to SGD 80 per tonne by 2030.
For large industrial facilities in Singapore, including petrochemical plants on Jurong Island and semiconductor fabs across the island, the carbon tax is a material cost that will escalate over time. The ability to measure emissions accurately, identify reduction opportunities, and demonstrate progress is directly linked to managing this cost.
Thailand has also signalled its intention to implement carbon pricing mechanisms as part of its commitment to carbon neutrality by 2050 and net zero emissions by 2065. Indonesia has been piloting a carbon trading scheme, and Malaysia is developing its own carbon tax framework. Across the region, the direction of travel is clear: carbon emissions will carry an increasing financial cost, and the companies that can measure, manage, and reduce those emissions will be best positioned to compete.
Preparing for carbon taxes and border adjustments is not just a compliance exercise. It is a strategic imperative. Organisations that treat carbon pricing as a predictable cost trajectory, and build their operational and financial plans accordingly, will be more resilient than those that react to each new regulation as it arrives.
The practical steps include:
– Establish an accurate baseline. You cannot manage what you cannot measure. Deploy IoT monitoring and carbon accounting systems to create a verified emissions baseline across Scopes 1, 2, and 3.
– Model the financial impact. Use your emissions data to project the cost of carbon taxes and CBAM obligations under different scenarios, including different tax rates, production volumes, and product mix assumptions.
– Identify the most cost-effective reduction opportunities. Not all emissions reductions are equal. Some investments deliver significant reductions at low cost, while others are expensive relative to their impact. Data-driven analysis helps you prioritise.
– Integrate carbon costs into procurement and pricing decisions. If you are a manufacturer, your customers will increasingly ask about the embedded carbon in your products. If you can provide verified, product-level emissions data, you have a competitive advantage.
The organisations we work with that have taken these steps are already seeing the benefits. They are better prepared for regulatory changes, more confident in their cost projections, and better positioned to retain and win business from customers who value carbon transparency.
Accurate measurement is the foundation of credible carbon accounting. But measurement alone is not enough. For your carbon footprint to carry weight with regulators, investors, and business partners, it must be verifiable. It must be audit-ready. This means that every reported figure can be traced back to its source data, every calculation can be replicated, and every methodology choice can be justified.
Building an audit-ready emissions data system requires both the right technology and the right verification partnerships. This is where Evercomm’s NxMap platform, combined with Bureau Veritas verification, provides a structured and reliable approach.
NxMap is Evercomm’s carbon accounting platform, designed to handle the full complexity of corporate emissions measurement across Scopes 1, 2, and 3. It is built on the GHG Protocol Corporate Standard and aligned with ISO 14064, ensuring that every calculation follows internationally recognised methodologies.
The platform is designed with several features that specifically support auditability:
– Complete data lineage. Every emissions figure in NxMap can be traced back through the calculation chain to its original source data. An auditor can see not just the final number but the activity data, emission factors, and conversion steps that produced it.
– Automated emission factor management. NxMap maintains an up-to-date library of emission factors from authoritative sources, including the IPCC, IEA, and national environmental agencies. When emission factors are updated, the platform can recalculate historical emissions to ensure consistency.
– Multi-framework reporting. From a single dataset, NxMap can generate reports aligned with multiple frameworks, including the GHG Protocol, ISSB (IFRS S1 and S2), and local exchange requirements such as SGX Sustainability Reporting Rules. This eliminates the need to maintain separate data sets for different reporting obligations.
– Scope 3 data management. NxMap supports the collection, organisation, and calculation of Scope 3 emissions across all 15 GHG Protocol categories, with tools for managing supplier data, applying secondary data where primary data is unavailable, and documenting methodological choices.
– Quality controls and validation rules. The platform includes automated checks for data completeness, consistency, and reasonableness, flagging potential issues before they reach the final report.
For a manufacturing group with operations across Singapore, Taiwan, Thailand, Indonesia, and Malaysia, NxMap provides the infrastructure to consolidate emissions data from multiple sites, apply the correct local emission factors, and produce a single, coherent, and auditable carbon footprint report.
Third-party verification is what transforms a carbon footprint from a self-reported estimate into a credible, stakeholder-ready document. Bureau Veritas is one of the world’s leading testing, inspection, and certification companies, with deep expertise in environmental verification and ISO 14064 assurance.
Evercomm works with Bureau Veritas to provide verified emissions data for our clients. The verification process examines several aspects of the emissions inventory:
– Data quality assessment: Are the source data reliable, complete, and representative? Are there gaps or estimates that need to be flagged?
– Methodology review: Are the calculation methodologies appropriate and consistently applied? Do they conform to the relevant standards, such as the GHG Protocol and ISO 14064?
– Emission factor verification: Are the emission factors current, from authoritative sources, and correctly applied?
– System and process review: Are the data collection and management systems adequate to support the reported figures? Are there quality controls in place?
– Reporting accuracy: Does the final report accurately represent the underlying data and calculations?
When an emissions inventory passes this verification process, it carries significantly more weight with every stakeholder group. Regulators have greater confidence in the data. Investors and lenders can use it with assurance in their assessments. Business partners can rely on it for supply chain reporting. And the company itself can have confidence that its public statements about emissions performance are defensible.
The value of audit-ready emissions data extends beyond compliance. It has practical implications across several business functions:
– Financing applications: Banks and investors increasingly require verified emissions data as part of sustainability-linked financing assessments. Audit-ready data accelerates the due diligence process and supports stronger credit applications.
– Customer requirements: Major corporations with their own Scope 3 reporting obligations need verified emissions data from their suppliers. Being able to provide this data promptly and reliably strengthens commercial relationships.
– Internal accountability: When emissions data is verified and transparent, it creates accountability within the organisation. Facility managers, operations directors, and executives can see clearly where emissions are being generated and where reduction efforts are succeeding or falling short.
– Continuous improvement: An audit-ready system is inherently a learning system. The quality controls, validation checks, and data lineage that support verification also enable the organisation to identify errors, refine methodologies, and improve data quality over time.
At Evercomm, we have seen organisations achieve up to 90% improvement in data authenticity by transitioning from spreadsheet-based processes to IoT-connected, platform-based carbon accounting with third-party verification. This is not a marginal improvement. It is a transformation in the reliability and usefulness of emissions data.
Measuring your carbon footprint is an essential first step, but it is only a step. The ultimate objective is to reduce it. And the good news is that the data infrastructure you build for measurement is the same infrastructure that enables reduction. Once you have accurate, real-time visibility into your emissions, you have the foundation for a systematic, evidence-based decarbonisation programme.
Here is a practical framework for reducing your baseline carbon footprint, drawn from our experience working with industrial organisations across Asia.
You cannot reduce what you have not accurately measured. The first step is to establish a comprehensive, verified emissions baseline across Scopes 1, 2, and 3. This baseline serves as the reference point against which all future reductions are measured.
A credible baseline requires:
– Complete Scope 1 and Scope 2 coverage for all facilities, using actual consumption data rather than estimates
– Scope 3 coverage of all material categories, with documented methodology for any areas where secondary data is used
– Third-party verification by an accredited body, providing assurance that the baseline is accurate and complete
– A clear definition of organisational and operational boundaries, following the GHG Protocol’s consolidation approaches
For companies that have been relying on spreadsheet-based estimates, establishing a verified baseline often involves a period of data improvement. IoT monitoring systems are deployed to capture actual consumption data, historical data is recalculated using consistent methodologies, and gaps are identified and addressed. The result is a baseline that can withstand scrutiny and serve as a reliable foundation for target-setting and progress tracking.
Once you have a verified baseline, the next step is to set reduction targets. The most credible targets are those aligned with climate science, specifically the Science Based Targets initiative (SBTi), which provides methodologies for setting emissions reduction targets consistent with the goals of the Paris Agreement.
Science-based targets typically require:
– Near-term targets (5 to 10 years) covering Scope 1 and Scope 2 emissions, with depth of reduction depending on the sector and the company’s starting point
– Long-term targets (through to 2050) consistent with reaching net zero emissions
– Commitments to address material Scope 3 emissions, either through supplier engagement, product design changes, or other value chain strategies
For an industrial company in a hard-to-abate sector, such as steel or petrochemicals, setting science-based targets can feel daunting. These sectors face fundamental technology challenges in decarbonisation, and the path to net zero may require technologies that are still maturing. But setting targets does not mean you must have all the answers today. It means committing to a trajectory, investing in the solutions that are available now, and preparing for the solutions that will become available in the future.
With a baseline and targets in place, the next step is to identify the specific actions that will deliver the greatest emissions reductions at the lowest cost. This is where the value of real-time, granular data becomes most apparent.
Common reduction opportunities in industrial settings include:
– Energy efficiency improvements: Upgrading to higher-efficiency equipment, optimising process parameters, recovering waste heat, and improving building insulation. These measures often offer rapid payback periods and can deliver up to 40% energy savings in some applications.
– Fuel switching: Replacing higher-carbon fuels with lower-carbon alternatives, such as switching from coal to natural gas, or from diesel to electricity in mobile equipment.
– Renewable energy procurement: Purchasing renewable electricity through power purchase agreements, renewable energy certificates, or on-site generation. This is the most direct way to reduce Scope 2 emissions and can significantly improve market-based Scope 2 reporting.
– Process optimisation: Adjusting production schedules, reducing waste and rework, and improving yield to reduce the emissions intensity per unit of output.
– Supply chain engagement: Working with suppliers to reduce the embedded carbon in purchased goods and services, which addresses Scope 3 Category 1 and other upstream categories.
The key is to use data to prioritise. A data-driven analysis of your emissions profile will reveal which opportunities offer the greatest reduction potential and the best return on investment. This ensures that your decarbonisation budget is allocated effectively and that you make the fastest progress towards your targets.
Reduction plans are only as good as their execution. The final step is to implement the identified measures, monitor their impact in real time, and adjust your approach based on the results.
This is where the integration between IoT monitoring, carbon accounting, and operational management delivers its greatest value. When you have real-time visibility into energy consumption and emissions, you can see immediately whether a new piece of equipment is performing as expected, whether a process change is delivering the anticipated savings, and whether your overall emissions trajectory is on track.
If a measure is underperforming, early detection allows you to investigate and correct the issue before it compounds. If a measure is outperforming expectations, you can identify the factors driving the improvement and apply those lessons elsewhere.
Across our client deployments, we have seen organisations achieve up to 30% CO2 reduction through this systematic approach: verified baselines, data-driven prioritisation, and continuous monitoring of implementation. These are not aspirational targets. They are documented outcomes from industrial facilities operating in the real conditions of manufacturing, semiconductor fabrication, steel production, and petrochemical processing.
Reducing a corporate carbon footprint is not a one-time project. It is an ongoing programme that requires sustained commitment, investment, and attention. Emissions reduction targets typically span decades, and the regulatory and commercial pressures driving them are only intensifying.
The organisations that succeed are those that treat carbon management as a core operational function, rather than a periodic reporting exercise. They invest in the data infrastructure to measure accurately. They set ambitious but achievable targets. They use data to identify and prioritise the most impactful reduction opportunities. And they monitor progress continuously, adjusting their approach as conditions change.
At Evercomm, we are a certified B Corporation with a B Impact Score of 94.6, and we hold ISO 14064 certification. Our technology platform, including NxMap for carbon accounting and NxOps for IoT monitoring, is designed to support this sustained approach. We work with industrial organisations across Singapore, Taiwan, Thailand, Indonesia, and Malaysia to make their sustainability data actionable, their reports assured, and their decarbonisation journey measurable.
If you are ready to move beyond estimates and spreadsheets, and build a carbon accounting system that delivers both compliance confidence and operational value, we would welcome the conversation. Visit https://evercomm.io to learn how we can support your organisation in calculating, managing, and reducing its carbon emissions.
Evercomm is a multi-award winning engineering and technology company helping industries build resilience, unlock growth opportunities and navigate the evolving regulations landscape across carbon, energy, waste, and beyond.
Since 2013, we have been helping businesses optimise resource efficiency, reduce carbon emissions, manage climate risk scenarios, and meet international compliance standards ensuring long-term operational and financial sustainability.
Our advanced planning and simulation tools provide precision-driven carbon, energy and waste reduction strategies tailored to your unique operations. Grounded in internationally recognised ISO Standards, Evercomm ensures data integrity, credibility, and verifiability in emissions reduction tracking and reporting. By integrating globally recognised compliance frameworks, including GRI, SBTi, ISSB, and ESRS, we enable organisations to meet stringent regulatory requirements while reinforcing their business resilience.
As a trusted partner, Evercomm helps businesses turn compliance obligations into strategic advantages ensuring they stay ahead in a rapidly shifting economic and regulatory environment.
