Case-Studies of Life Cycle Assessment, Environmental Performance & Decarbonization
Industry: Mining & Metals (Copper Ore Production)
Focus: Life Cycle Assessment (LCA) | Carbon Footprint | Environmental Performance | Decarbonization
Tool and Platform: OpenLCA
Impact Category: Climate Change (kg CO₂e)
Two improvement scenarios were modelled to assess the potential benefits of operational decarbonization:
Scenario A – Electricity Decarbonization: Applying a lower-carbon electricity emission factor reduced the modelled impact to 124.20 kg CO₂e, representing an 81.28% reduction.
Scenario B – Integrated Emissions Reduction: Combining cleaner electricity with a 15% reduction in diesel-related emissions further reduced the impact to 116.17 kg CO₂e, an 82.49% reduction against the baseline.
Project Outcome: Demonstrated the application of LCA contribution analysis, emissions scenario modelling and sensitivity assessment to identify environmental hotspots and evaluate decarbonization opportunities in the mining sector.
Industry: Agriculture & Agri-Food | Fertilizer Production
Focus: Life Cycle Assessment (LCA) | Comparative Environmental Assessment | Multi-Impact Analysis
Tool and Platform: OpenLCA
Impact Categories: 18 Environmental Indicators, including Climate Change, Resource Scarcity, Ecotoxicity, Eutrophication, Acidification and Water Consumption.
Key findings included:
Climate Change: Ammonium sulphate recorded 3.28 kg CO₂ eq, compared with 4.14 kg CO₂ eq for urea, representing approximately 20.7% lower modelled global warming impact.
Fossil Resource Scarcity: Ammonium sulphate recorded 0.914 kg oil eq, approximately 33.4% lower than urea.
Particulate Matter Formation: Ammonium sulphate demonstrated approximately 67.4% lower potential impact than urea, indicating a notable difference in air pollution-related impacts.
Terrestrial Ecotoxicity: Ammonium sulphate recorded 3.43 kg 1,4-DCB eq, compared with 5.54 kg 1,4-DCB eq for urea.
Freshwater Ecotoxicity: Urea demonstrated approximately 21.1% lower modelled impact than ammonium sulphate.
Terrestrial Acidification: Ammonium sulphate recorded approximately 49.0% lower potential impact than urea.
Industry: Industrial Manufacturing & Processing
Focus: Life Cycle Assessment (LCA) | Comparative Environmental Assessment | Resource Efficiency
Tool and Platform: OpenLCA
Impact Categories: 25 Environmental Indicators, including Climate Change, Ecotoxicity, Human Toxicity, Eutrophication, Resource Use, Acidification and Water Use.
The study aimed to identify differences in environmental performance between the two scenarios, assess the distribution of environmental burdens across impact categories and establish a quantitative basis for evaluating opportunities for process improvement and resource efficiency.
Key findings included:
Climate Change: Case 1 recorded 1.710 kg CO₂ eq, compared with 1.783 kg CO₂ eq for Case 2, representing approximately 4.08% lower global warming impact.
Fossil Resource Use: Case 1 demonstrated approximately 3.95% lower fossil resource consumption, with results of 25.77 MJ compared with 26.83 MJ.
Water Use: Case 1 recorded 0.1012 m³ world eq, approximately 3.27% lower than Case 2.
Acidification: Case 1 demonstrated approximately 3.94% lower potential acidification impact.
Freshwater Ecotoxicity: Case 1 recorded approximately 1.00% lower modelled impact than Case 2.
Human Toxicity: Case 1 demonstrated lower modelled cancer and non-cancer toxicity indicators, with reductions varying across the respective subcategories.
Photochemical Ozone Formation: Case 1 recorded approximately 7.05% lower potential impact, representing one of the more pronounced differences between the scenarios.
Resource Use – Minerals and Metals: Case 1 demonstrated approximately 3.83% lower resource-related impact.
Industry: Energy & Utilities | Mining & Mineral Resources
Focus: Life Cycle Assessment (LCA) | Industrial Emissions | Contribution Analysis | Supply Chain Performance
Tool and Platform: OpenLCA
Assessment Scope: Coal Combustion | Upstream Coal Mining | Coal Transportation
The contribution tree identified the following distribution:
Coal Transportation: Contributed 31.610 points (78.679%), representing the dominant upstream environmental hotspot.
Coal Mining: Contributed 8.546 points (21.272%), highlighting the additional environmental burden associated with resource extraction.
Direct Coal Combustion: Contributed 0.020 points (0.049%) within the displayed contribution analysis.
The process inventory also identified several modelled emissions to air associated with coal combustion, including:
Carbon Dioxide (Fossil): 643,325 kg
Nitrogen Oxides: 3,601.09 kg
Sulfur Dioxide: 6,201.89 kg
Methane: 2,940 kg
Dinitrogen Monoxide: 147 kg
Particulate Matter (greater than 10 µm): 8,500.61 kg
Case Studies of Sustainability Valuation and Social Return on Investment
Industry: Mining & Mineral Resources | Environmental & Social Governance (ESG)
Geographical Scope: Eight Limestone Mines, Thailand
Focus: Social Return on Investment (SROI) | Social Impact Valuation | Environmental Equity | Cost-Benefit Analysis | Sustainability Performance
฿1.46 Billion in Aggregate Social Benefits: Quantified the social value generated through environmental interventions, with air quality and noise management accounting for approximately 98% of total benefits.
Positive Social Returns Across All Mines: Recorded SROI ratios ranging from 26.61 to 123.59, demonstrating substantial modelled social value relative to intervention investments.
Investment Efficiency: Identified an indicative diminishing-returns threshold beyond ฿4.39 million, highlighting the importance of strategic intervention allocation.
Environmental Equity: Medium-scale mines achieved the strongest composite performance, reflecting better alignment between pollution-control measures, investment efficiency and surrounding population exposure.
Performance Relationships: Spearman's rank correlation (ρ ≈ 0.52) revealed a moderately positive association between environmental performance and social equity rankings.
Industry: Mining & Mineral Resources | Environmental Performance & Operational Sustainability
Geographical Scope: Limestone Quarry, Thailand
Focus: Particulate Emissions | Emission Inventory Modelling | Economic Valuation | Pollution Control | Operational Optimization
Methodology: US EPA AP-42 Emission Factor Framework
57.6% Reduction in PM₁₀ Emissions: Modelled annual emissions decreased from 278 to 117.97 tonnes following the implementation of pollution-control measures.
฿98.4 Million in Estimated Economic Benefits: Monetised the value of avoided particulate emissions using the social cost of particulate pollution, demonstrating the wider economic benefits associated with emission reduction.
Haulage as the Primary Emissions Hotspot: Haul-road transportation accounted for approximately 89% of total modelled PM₁₀ emissions, identifying a priority area for operational intervention.
Targeted Mitigation Opportunities: Evaluated emission-control opportunities across blasting, haulage and mineral processing, highlighting the importance of dust suppression and improved operational practices.
Industry: Mining & Mineral Resources | Environmental Management & ESG
Geographical Scope: Two Limestone Quarries, Thailand (Same Mining Company)
Focus: PM₁₀ Emission Reduction | Environmental Compliance | Cost-Benefit Analysis | Operational Benchmarking
Methodology: Emission Valuation Using Social Cost Proxies
Mine L1: Achieved 280.13 tonnes of PM₁₀ reduction (85.3%), with a cost-benefit ratio of 11.4.
Mine L2: Achieved 245.01 tonnes of PM₁₀ reduction (74.6%), with a cost-benefit ratio of 3.5.
Performance Gap: Despite both mines meeting regulatory requirements, L1 demonstrated stronger pollution reduction and substantially higher economic returns relative to mitigation investment.
Projects on Software Solutions, Tools and Platforms
Sector: Oil & Gas | Environmental Monitoring | Geospatial Intelligence
Geographical Scope: Niger Delta, Nigeria
Focus: Oil Spill Detection | Environmental Impact Monitoring| Satellite-Based Analysis
Technology: Sentinel-1 SAR | Sentinel-2 Multispectral Imagery | Google Earth Engine | Machine Learning
BlackTide is a satellite-based environmental monitoring initiative developed to improve transparency and understanding of oil pollution across the Niger Delta. By integrating satellite observations, official spill records and machine-learning techniques, the platform monitors coastal and inland environments, identifies potential pollution events and assesses their environmental footprint. Covering approximately 50,000 km², BlackTide transforms complex geospatial data into accessible, publicly available information to support environmental research, accountability and evidence-based decision-making.
Regional Monitoring: Monthly satellite-based monitoring of the Niger Delta's coastal, creek, mangrove and wetland environments.
Oil Spill Mapping: Integration of marine slick detections from SkyTruth Cerulean and official spill records from NOSDRA.
Environmental Impact Assessment: Satellite analysis of vegetation changes and potential ecosystem damage around reported spill locations.
Machine Learning: Development of land-based oil spill detection models using Sentinel-1 and Sentinel-2 satellite data.
Open Data Access: Public-facing geospatial platform for exploring spill records, environmental observations and monitoring results.
Team: ThankGod Chinemerem Ugwuada · Ikenna Okonkwo Anthony · Tochukwu Ambrose Ngwu