How Process Chemistry Influences Scope 3 Emissions in Textile Manufacturing

The fashion industry accounts for an estimated 8% of global greenhouse gas emissions, according to the MIT Climate Portal. Within the apparel value chain, textile production (bleaching, dyeing, and finishing) accounts for approximately 36% of the sector’s climate impact, according to UNEP’s 2020 Global Stocktaking report.

These processes are energy intensive. As Sumit Sarker of bluesign Academy puts it:

“The chemical inputs selected and the way they are applied influence energy consumption and emissions at the facility level. By utilizing high-performance chemical inputs that enable lower temperatures and shorter cycles, manufacturers can achieve chemistry-driven process efficiency that has a direct bearing on carbon outcomes.”

The weight of manufacturing in a brand’s footprint

For any brand that does not own its own manufacturing, Scope 3 represents the majority of its total carbon footprint. The GHG Protocol defines 15 Scope 3 categories. Category 1, purchased goods and services, covers all upstream emissions embedded in purchased goods, from raw material extraction through to finished product.

At Rab, a UK outdoor brand and bluesign System Partner, has tracked and publicly disclosed its Scope 3 emissions for six years. In 2024, those emissions reached approximately 13,000 tCO₂e, with manufacturing accounting for the majority. This pattern, where manufacturing dominates a brand’s footprint, is the norm across the apparel sector. It is also where decarbonization gets difficult, because the reductions have to happen at facilities the brand does not own.

The gap between targets and factory floors

Setting a Scope 3 target is a corporate decision. Reducing Scope 3 emissions is an operational one, and it does not happen at headquarters.

The emissions in this category are generated at manufacturing facilities: dyeing houses and finishing plants. Reducing them requires changes at the facility level: energy efficiency improvements, transitions from coal to lower-carbon thermal energy, adoption of renewable electricity, process optimization, and the selection of high-performance chemical inputs.

The challenge is structural, and financial. Brands set targets, but they depend on suppliers to deliver the reductions. Suppliers, many of whom also set their own decarbonization targets, are often working with multiple brands, each with overlapping but slightly different requirements. Decarbonization at the facility level requires significant capital investment: upgrading boilers, transitioning energy sources, installing new equipment, and training staff. Progress is slow in large part because the financial burden falls on suppliers, while the emissions reduction benefits flow to brand-level reporting. Without a shared system for tracking and verifying facility-level performance, and without clearer mechanisms for sharing the cost of transition, the gap between corporate targets and factory-floor reality persists.

Why carbon accounting is only the beginning

The Greenhouse Gas Protocol gives brands a framework for measuring emissions. SBTi provides a framework for setting targets, and CDP for disclosing progress. These are important tools. But accounting frameworks, however essential for measurement and understanding, do not by themselves drive operational change at the facility level.

A brand can calculate its Scope 3 Category 1 footprint using various methods such as spend-based estimates, activity data, or supplier-specific primary data. Spend-based methods are the simplest but the least precise. Primary data is the most accurate but the hardest to get. This data quality gap sits underneath the decarbonization conversation.

The brands making the most credible progress are the ones investing the necessary resources with their suppliers to reduce emissions: money, time, and technical know-how. Moving from spend-based estimates to verified, facility-level data is part of that investment, but data alone is not enough. Real progress requires direct engagement with manufacturing partners on operational improvement.

The overlooked lever: chemical input selection and process efficiency

The climate conversation in fashion tends to focus on materials (recycled polyester, organic cotton) and energy (coal phase-outs, renewable electricity). These matter. But there are other levers that also influence carbon outcomes, and one of them starts at the process design stage, where the selected chemical inputs influence how much thermal energy and water a facility will require during production.

The mechanism is more direct than it might appear. Chemical selection influences how a process runs, and changes in process parameters can have a measurable impact on energy and water consumption.

A practical illustration:  reactive dyes typically achieve fixation rates of 70–80% under standard conditions, meaning 20–30% of the dye does not bond to the fibre and must be removed. Each washing and soaping step to clear unfixed dye consumes hot water and thermal energy. When a chemical formulation with higher fixation efficiency is selected,  through better dye-fibre reactivity or optimised auxiliary chemistry, fewer post-dyeing wash steps are needed. The energy and water savings per kg of fabric are direct and measurable. The same principle applies across other wet processing stages where fixation, absorption, or reaction efficiency determines how much rinsing and reprocessing follows.

This mechanism operates across multiple dimensions of wet processing:

• Low-temperature and time-efficient chemical systems that reduce thermal energy demand
• Compatibility with low liquor ratio processes that minimize water and heating requirements
• High fixation performance that reduces washing steps and wastewater treatment load
• Optimized chemical dosing and application control that avoids overuse and rework

There is a second dimension that is often missed in carbon accounting: the embedded emissions of the chemical inputs themselves. Chemical products contribute to a brand’s Scope 3 footprint through their own production. Two auxiliaries with similar technical performance can have significantly different carbon footprints depending on raw materials, formulation, and supplier production processes. This is why product carbon footprint (PCF) data for chemical inputs, derived using ISO 14067-aligned life-cycle assessment, is becoming a meaningful part of the Scope 3 conversation.

For manufacturers, the intersection of chemical input selection, process efficiency, and energy use is where operational and environmental performance converge. These are not marginal improvements. They are core operational levers that most brand-level decarbonization strategies undercount.

Chemistry is not a substitute for direct energy transition. Switching from coal-fired boilers to electrified or biomass-based thermal energy remains the central decarbonization lever. But chemistry-driven efficiency reduces the load that thermal energy systems have to carry in the first place, and it influences the carbon intensity of every production run.

What this means for brands

Operationalizing Scope 3 reductions requires facility-level visibility: understanding what is actually happening at the manufacturing sites that produce your goods. Not just the output, but the inputs, the processes, and the resource consumption.

It requires primary data over estimates: moving from spend-based Scope 3 calculations toward facility-level data from production. This is harder and slower, but it produces more accurate baselines and more credible progress tracking.

It requires operational improvement, not just measurement. Accounting quantifies the problem. Improvement solves it. Brands need systems that help their suppliers reduce energy, water, and chemical intensity at the production level.

And it requires recognizing that chemical input selection is a decarbonization lever. The choice of chemicals and the efficiency of their application influence a facility’s energy use, water consumption, and carbon emissions.

Where facility-level systems fit

The bluesign System operates at the intersection of several of these requirements. Through on-site assessments, the system evaluates resource consumption, environmental impact, occupational health, and the management of chemical inputs at the manufacturing level. The data used is primary data, provided by manufacturers and reviewed by bluesign experts for plausibility.

The bluesign System addresses key operational levers that contribute to decarbonization: process efficiency, chemical input selection, energy and water consumption, and continuous improvement at the facility level.

For brands working to operationalize their Scope 3 commitments, facility-level systems like bluesign provide the kind of granular operational data and operational improvement support that top-down accounting frameworks cannot deliver on their own.

With more than 900 System Partner companies across the textile value chain, the bluesign System connects chemical suppliers, manufacturers, and brands. For a deeper look at facility-level decarbonization levers and what brands can do now, see bluesign’s technical overview on decarbonization priorities for brands.

Sources

• MIT Climate Portal, Which industries contribute most to climate change? mit.edu/ask-mit/which-industries-contribute-most-climate-change
• UNEP (2020), Sustainability and Circularity in the Textile Value Chain: Global Stocktaking. org/resources/publication/sustainability-and-circularity-textile-value-chain-global-stocktaking
• Rab, Sustainability / Responsibility Report (2025). equipment/uk/rab-dna
• GHG Protocol, Corporate Value Chain (Scope 3) Standard. org/corporate-value-chain-scope-3-standard
• Science Based Targets initiative. org
• cdp.net

Learn more about the bluesign System.