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LCA of Sodium Hydroxide Production in the Chemical Industry | DEISO

Illustrative DEISO Technical Case

LCA of Sodium Hydroxide Production in the Chemical Industry

A DEISO-developed Life Cycle Assessment of sodium hydroxide production, illustrating process structure, CML-based impact results, weighted hotspot interpretation, and product-system modeling for 1 kg of sodium hydroxide production mix at plant.

This case study demonstrates how DEISO structures chemical-industry LCA from process mapping to impact interpretation, transforming a rich technical model into decision-ready environmental insight for manufacturing, sustainability strategy, and lifecycle-based product intelligence.

Sector
Chemical Industry
Functional Unit
1 kg at Plant
Method
CML LCIA
Use
Illustrative Authority Case
Case Snapshot
Headline Climate Result
1.05
kg CO2 eq per functional unit
ADP Fossil
15
MJ
Acidification
0.00961
kg SO2 eq
System Drivers
Sodium chloride feedstock, bituminous coal combustion, natural gas combustion, residual fuel oil combustion, and US grid electricity.

Figure — Process Flow Diagram of Sodium Hydroxide Production (1 kg Functional Unit)
This diagram illustrates the structured life cycle model of sodium hydroxide production at the plant level, developed by DEISO. It captures the integration of upstream resource extraction, fuel combustion processes, energy supply (including US grid electricity), and multi-modal transport systems feeding into intermediate production stages. These stages—comprising sodium chloride processing and combustion-based energy inputs (bituminous coal, natural gas, and residual fuel oil)—are represented as discrete process blocks, each contributing to the final production mix. The diagram highlights the interconnected nature of chemical manufacturing systems and provides a transparent representation of system boundaries, process dependencies, and material-energy flows used in the Life Cycle Assessment.

Life Cycle Assessment of Sodium Hydroxide Production in the Chemical Industry

This illustrative case study presents a full Life Cycle Assessment developed by DEISO for the production of sodium hydroxide in the chemical industry. It is based on a real internally developed DEISO model and is published here as a technical demonstration case to show methodology, process structure, impact quantification, and result interpretation.

Case Positioning

This case is presented as an illustrative DEISO technical study. It was developed end-to-end by DEISO and used here to demonstrate how an LCA for a chemical production system can be structured, analyzed, and communicated without relying on client-confidential information.

Product and Functional Unit

The assessed product system is sodium hydroxide production mix at the plant. The functional unit is defined as the production of 1 kg of sodium hydroxide. The report evaluates the environmental implications of this unit of production using the CML Life Cycle Impact Assessment method.

System Scope

The model includes the main upstream and operational inputs required to produce the product mix at the plant. These include:

  • Sodium chloride at plant
  • Bituminous coal combusted in an industrial boiler
  • Natural gas combusted in an industrial boiler
  • Residual fuel oil combusted in an industrial boiler
  • Electricity from the US grid mix
Why This Chemical LCA Matters

Chemical products have distinct environmental profiles because their burdens are shaped by raw material sourcing, energy demand, combustion pathways, transport modes, and process-specific emissions to air, water, and soil. For sodium hydroxide, understanding these interactions is essential for evaluating environmental performance, identifying hotspots, and comparing improvement opportunities across production routes.

Sodium hydroxide is widely used across pulp and paper, textiles, soaps and detergents, organic synthesis, oil refining, drain cleaning, pH adjustment, and several industrial processing systems. That broad use profile makes product-level environmental intelligence especially valuable for manufacturers, buyers, and technical decision-makers.

Illustrative Use Note

This case is presented as a DEISO demonstration study. It is suitable for technical illustration, educational presentation, and authority-building content, but should not be framed as a client-specific commercial declaration.

Environmental Impact Dashboard — Sodium Hydroxide Production Mix (1 kg)

Results based on the CML Life Cycle Impact Assessment method for the production of 1 kg of sodium hydroxide at plant.

Global Warming Potential
1.05
kg CO2 eq
ADP Fossil
15
MJ
Acidification Potential
0.00961
kg SO2 eq
Eutrophication Potential
0.000286
kg Phosphate eq
Human Toxicity Potential
0.381
kg DCB eq
Marine Aquatic Ecotoxicity
936
kg DCB eq
Impact Category Unit Result Interpretation
Abiotic Depletion (ADP elements) kg Sb eq 1.47E-05 Mineral resource depletion indicator
Abiotic Depletion (ADP fossil) MJ 15 Embedded fossil energy demand
Acidification Potential (AP) kg SO2 eq 0.00961 Acidifying emissions to air
Eutrophication Potential (EP) kg Phosphate eq 0.000286 Nutrient enrichment burden
Freshwater Aquatic Ecotoxicity (FAETP) kg DCB eq 0.0624 Freshwater toxicity profile
Global Warming Potential (100 years) kg CO2 eq 1.05 Headline climate indicator
Global Warming Potential excl. biogenic carbon kg CO2 eq 1.05 Same reported value in this case
Human Toxicity Potential (HTP) kg DCB eq 0.381 Human toxicity profile
Marine Aquatic Ecotoxicity (MAETP) kg DCB eq 936 Largest magnitude category in this result set
Ozone Layer Depletion Potential (ODP) kg R11 eq 1.18E-07 Low-magnitude ozone depletion indicator
Photochemical Ozone Creation Potential (POCP) kg Ethene eq 0.000776 Smog-forming emissions indicator
Terrestrial Ecotoxicity Potential (TETP) kg DCB eq 0.00913 Terrestrial toxicity burden

Weighted Environmental Impact Dashboard — Sodium Hydroxide Production Mix (1 kg)

This dashboard represents the weighted results of the case study, based on the report’s normalized and weighted CML interpretation for the overall production technology. It is intentionally separated from the page 6 quantified LCIA results table with units.

Dashboard Type
Weighted
Normalized + weighted interpretation
Source Section
Pages 7–23
Weighted impacts and final aggregated chart
Strongest Category
MAETP
Peak weighted prominence in the final aggregated profile
Interpretation Use
Hotspot Logic
Decision-oriented category ranking, not unit-based LCIA reporting
Aggregated Weighted Impact Profile
Marine Aquatic Ecotoxicity Potential (MAETP)
Peak
Global Warming Potential (GWP 100 years)
Very High
Abiotic Depletion (ADP fossil)
High
Human Toxicity Potential (HTP)
Medium–High
Acidification Potential (AP)
Medium
Eutrophication Potential (EP)
Lower–Medium
Freshwater Aquatic Ecotoxicity Potential (FAETP)
Lower–Medium
Photochemical Ozone Creation Potential (POCP)
Low
Terrestrial Ecotoxicity Potential (TETP)
Low
Abiotic Depletion (ADP elements)
Very Low
Ozone Layer Depletion Potential (ODP)
Very Low
Weighted Interpretation
The final chart in the report presents the aggregated environmental impacts of the overall production technology as weighted impact categories, rather than as physical-unit LCIA values.

This means the purpose of this section is priority interpretation: which impact families are most influential after normalization and weighting.

In this case, the weighted profile is led by marine aquatic ecotoxicity, followed by a stronger cluster that includes global warming, fossil depletion, and human toxicity. Lower-priority weighted categories appear toward the tail of the profile.
Method note: The report’s page 23 chart presents the aggregated weighted impact categories visually, but the parsed text does not provide exact final percentage labels for each bar. For that reason, this dashboard uses a faithful ranked weighted-intensity representation instead of inventing unsupported exact percentages.

Process Hotspot Dashboard — Weighted Impact Contribution

This dashboard translates the process-level weighted results into a ranked hotspot profile, identifying the most influential processes and pathways driving environmental burden in the sodium hydroxide production system.

Total Process Nodes
16+
Across fuels, transport, and feedstock chains
Dominant Pathway
Fuel Combustion
Coal, gas, and residual oil chains
Transport Influence
High
Repeated transport nodes across the system
Hotspot Structure
Systemic
Driven by pathways, not one isolated node
Top Process Hotspots (Weighted Contribution)
Sodium chloride at plant
Peak
Bituminous coal combustion
Very High
Natural gas combustion
High
Residual fuel oil combustion
High
Electricity (US grid)
Medium
Barge transport (fuel mix)
Medium
Truck transport (fuel mix)
Lower
Train transport (diesel-powered)
Lower
Gasoline combustion in equipment
Low
Diesel combustion in industrial boiler
Low
Process Family Intelligence
Feedstock System

Sodium chloride acts as a structural hotspot because it is central to the modeled production system and linked to multiple downstream impacts.

Fuel Combustion Systems

Coal, natural gas, and residual fuel oil form the dominant weighted burden cluster, making combustion pathways the most critical improvement focus.

Transport Systems

Transport contributes cumulatively through repeated barge, truck, and rail nodes rather than through a single dominant transport process.

Energy Supply

US grid electricity contributes at a moderate level and acts as a supporting burden driver across multiple impact families.

Key Insight

The environmental burden of sodium hydroxide production is driven by interconnected feedstock and combustion pathways, not by one isolated process. Fuel-related systems dominate the weighted profile, while transport creates repeated supporting burdens across the lifecycle.

Engage with DEISO

Conduct confidential LCA studies and strategic environmental assessments with DEISO.

Build a Chemical LCA with Decision-Level Insight — Not Just Results

DEISO supports chemical manufacturers, industrial operators, and sustainability teams with full Life Cycle Assessment modeling, hotspot identification, scenario analysis, and pre-submission audit readiness. Transform complex process data into structured environmental intelligence that supports product strategy, compliance, and performance improvement.

Chemical Process LCA Modeling
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