Life Cycle Assessment of Ordinary Portland Cement Production in South Africa: Mid-Point and End-Point Approaches
Abstract
:1. Introduction
2. Literature Review
2.1. Cement in the Sub-Saharan Africa (SSA) Region
2.2. Overview of Existing Studies
Reference | Aim | Country | Themes | Findings | ||
---|---|---|---|---|---|---|
LCIA Approach | Sensitivity Analysis | Damage to Human Health | ||||
(Meshram and Kumar, 2022) | To conduct a life cycle assessment (LCA) of two types of geopolymer cement and compare it to traditional Portland cement in an Indian context. | India | Cradle-to-gate life cycle assessment following ISO 14040 principles. | Not considered | Not considered | Geopolymer cement based on fly ash and blast furnace slag reduces global warming potential by 70%, abiotic depletion potential fossil by 49%, abiotic depletion potential element by 34%, and terrestrial ecotoxicity potential by 77% compared to ordinary Portland cement. |
(Morsali, 2016) | To analyze the life cycle impacts of Portland cement production on human health, ecosystem quality, and resource depletion using LCA methodology. | Western Europe | Life cycle assessment using SimaPro software and Eco-Indicator 99 methodology. | Not considered | Not considered | The cement production process and coal tailings landfilling caused the most damage to human health. Crude oil and coal mining were the biggest contributors to resource depletion. Cement production, uranium mining, and transportation caused the most damage to ecosystem quality. The key emissions contributing to impacts were CO₂, NOx, SOx, CH4, and metals like Ni, Zn, Cr, As, and Cd. |
(Nigri et al., 2010) | Apply life cycle assessment (LCA) to evaluate environmental impacts of Portland cement manufacturing. | Brazil | Life cycle assessment based on ISO 14040 principles. | Not considered | Not considered | Cement production causes environmental impacts, including greenhouse gas emissions, air pollution, and waste generation. |
(Li et al., 2015) | Evaluate the environmental impacts of cement production in China and identify potential improvements. | China | Life cycle assessment, comparative analysis. | Not considered | Not considered | The study finds China has higher emissions except for CO₂ compared to Japan due to less advanced technologies. |
(Stafford, Raupp-Pereira, et al., 2016) | To analyze the environmental impacts of cement production at a Brazilian cement plant through life cycle assessment (LCA). | Brazil | Life cycle assessment guided by ISO 14040 and ISO 14044. | Not considered | Not considered | Transportation had the largest contribution to most environmental impact categories. After transportation, fossil fuel production and the cement kiln were the major contributors. |
(Stafford, Dias, et al., 2016) | Assess the environmental impacts of using wastes as fuel in cement manufacturing in a plant in southern Europe. | Portugal | Life cycle assessment based on primary data from the cement plant and secondary data from the Ecoinvent database. | Not considered | Not considered | Atmospheric emissions from the kiln were the main contributor to most impact categories except abiotic depletion. Using alternative fuels like refuse-derived fuel and scrap tires reduced impacts compared to studies using only fossil fuels. |
(Bushi and Meil, 2014) | To quantify the environmental impacts of Portland limestone cement (PLC) compared to ordinary Portland cement (OPC) using life cycle assessment. | Canada | Cradle-to-gate life cycle assessment of cement and concrete mixes following ISO standards. | Not considered | Not considered | PLC has 9–12% lower environmental impacts than OPC across all indicators studied. PLC concrete mixes have 7–9% lower impacts than OPC. Reducing clinker content in cement through PLC reduces energy use and emissions. |
(Tun et al., 2020) | To evaluate the environmental impacts of cement production in Myanmar using life cycle assessment (LCA) and identify key contributors to impacts. | Myanmar | Life cycle assessment following ISO standards, using site-specific data from eight cement plants in Myanmar. | Not considered | Not considered | Major impacts, including climate change, photochemical oxidant formation, particulate matter formation, terrestrial acidification, and fossil resource scarcity, were observed. The main contributors to these impacts were CO₂, NOx, SO2, and PM2.5 emissions from clinker production and fossil fuel use. Among the various damage categories, human health emerged as the most affected. |
(Huntzinger and Eatmon, 2009) | Assess the environmental impacts of four cement manufacturing processes: traditional Portland cement, blended cement with natural pozzolans, cement production with CO₂ sequestration in cement kiln dust (CKD), and cement production with CKD recycling [27]. | United States | Life cycle assessment using SimaPro software to model the environmental impacts of different cement production processes. The functional unit of analysis was the production of 1 ton of cement. | Not considered | Not considered | Blended cement with natural pozzolans had the lowest global warming potential. Carbon sequestration in CKD reduced global warming potential by about 5% compared to traditional Portland cement. |
Present study | To conduct a life cycle assessment of the environmental impacts of cement production in a typical South African plant. | South Africa | Life cycle assessment using mid-point and end-point approaches on 1 kg of cement produced. | Considered | Considered | To be presented in the discussion section. |
2.3. Contributions to Knowledge
3. Methods
3.1. Goal and Scope Definition
3.2. Life Cycle Inventory
3.3. Life Cycle Impact Assessment
3.4. Interpretation
4. Results and Discussions
4.1. Mid-Point Analysis (Process-Oriented Approach)
4.1.1. Clinker Production
4.1.2. Raw Material Consumption
4.1.3. Electricity Usage
4.1.4. Fuel Consumption
4.1.5. Transportation
4.1.6. Ozone Formation
4.1.7. Toxicity
4.1.8. Global Warming
4.1.9. Fossil Resource Scarcity
4.2. End-Point Analysis (Damage-Oriented Approach)
4.2.1. Clinker Production
4.2.2. Raw Material Consumption
4.2.3. Electricity Usage
4.2.4. Fuel Consumption
4.2.5. Transportation
4.2.6. Human Health
4.2.7. Ecosystem
4.2.8. Resources
4.3. Uncertainty Analysis Result
4.4. Discussion of Results
4.5. Comparison with Previous Studies
5. Conclusions, Recommendations, and Future Research
5.1. Contribution and Practical Implications
5.2. Recommendations and Future Research
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Company | Production Capacity (MTs) | Countries of Operation in SSA |
---|---|---|
Dangote cement | 20.7 | Nigeria, Benin, Cameroon, Senegal, Cote d’Ivoire, Sierra Leon, Liberia, Ghana, Congo- Brazzaville, Ethiopia, Kenya, Tanzania, Zambia, South Africa |
Lafarge | 19.5 | Nigeria, Benin, Cameroon, Kenya, Tanzania, Zambia, South Africa, Uganda, Malawi, Mozambique, Botswana, Zimbabwe |
PPC | 18.0 | South Africa, Zimbabwe, Botswana |
Heigelberg | 6.7 | Sierra Leon, Liberia, Ghana, Tanzania, Benin, Gabon, Togo |
AfriSam | 5.8 | South Africa, Lesotho, Botswana, Tanzania, Swaziland |
ARM cement | 5.5 | Tanzania, South Africa, Kenya, Rwanda |
Sococim | 4.2 | Senegal |
Holcim | 3.0 | Nigeria, Cote d’Ivoire, Morocco, Tanzania, South Africa, Guinea |
Derba Midroc Cement | 2.5 | Ethiopia |
WACEM | 2.0 | Ghana, Togo |
Region | No. of Plants | Production Capacity (tons) | Actual Production (tons) | Capacity Utilization |
---|---|---|---|---|
West Africa | 29 | 19,241,000 | 8,779,130 | 46% |
Central Africa | 11 | 3,613,000 | 1,720,000 | 48% |
East Africa | 29 | 8,954,000 | 6,768,110 | 76% |
Southern Africa | 6 | 13,145,000 | 12,348,000 | 94% |
Total | 75 | 44,953,000 | 29,615,240 | 66% |
S/N | Impact Category | Unit | Value |
---|---|---|---|
1 | Global warming | kg CO₂ eq | 0.993 |
2 | Stratospheric ozone depletion | kg CFC11 eq | 1.94 × 10−7 |
3 | Ionization radiation | kBq Co-60 eq | 0.00997 |
4 | Ozone formation, human health | kg NOx eq | 0.0021 |
5 | Fine particulate matter formation | kg PM2.5 eq | 0.000793 |
6 | Ozone formation, terrestrial ecosystem | kg NOx eq | 0.00212 |
7 | Terrestrial acidification | kg SO2 eq | 0.00244 |
8 | Freshwater eutrophication | kg P eq | 0.000316 |
9 | Marine eutrophication | kg N eq | 1.93 × 10−5 |
10 | Terrestrial ecotoxicity | kg 1,4-DCB eq | 1.04 |
11 | Freshwater ecotoxicity | kg 1,4-DCB eq | 0.0158 |
12 | Marine ecotoxicity | kg 1,4-DCB eq | 0.0214 |
13 | Human carcinogenic toxicity | kg 1,4-DCB eq | 0.0244 |
14 | Human non-carcinogenic toxicity | kg 1,4-DCB eq | 0.497 |
15 | Land use | m2a crop eq | 0.00783 |
16 | Mineral resource scarcity | kg Cu eq | 0.00216 |
17 | Fossil resource scarcity | kg oil eq | 0.139 |
18 | Water consumption | m3 | 0.00136 |
S/N | Impact Category | Unit | Value |
---|---|---|---|
1 | Global warming, human health | DALY | 9.21 × 10−7 |
2 | Stratospheric ozone depletion | DALY | 1.03 × 10−10 |
3 | Ionizing radiation | DALY | 8.46 × 10−11 |
4 | Water consumption, human health | DALY | 1.50 × 10−9 |
5 | Ozone formation, human health | DALY | 1.91 × 10−9 |
6 | Fine particulate formation | DALY | 4.98 × 10−7 |
7 | Human carcinogenic toxicity | DALY | 8.10 × 10−8 |
8 | Human non-carcinogenic toxicity | DALY | 1.13 × 10−7 |
9 | Global warming, terrestrial ecosystems | Species/yr | 2.78 × 10−9 |
10 | Global warming, freshwater ecosystems | Species/yr | 7.60 × 10−14 |
11 | Ozone formation, terrestrial ecosystems | Species/yr | 2.73 × 10−10 |
12 | Terrestrial acidification | Species/yr | 5.18 × 10−10 |
13 | Freshwater eutrophication | Species/yr | 2.12 × 10−10 |
14 | Marine eutrophication | Species/yr | 3.29 × 10−14 |
15 | Terrestrial ecotoxicity | Species/yr | 1.19 × 10−11 |
16 | Freshwater ecotoxicity | Species/yr | 1.09 × 10−11 |
17 | Marine ecotoxicity | Species/yr | 2.25 × 10−12 |
18 | Land use | Species/yr | 6.95 × 10−11 |
19 | Water consumption, terrestrial ecosystems | Species/yr | 2.01 × 10−10 |
20 | Water consumption, aquatic ecosystems | Species/yr | 2.14 × 10−15 |
21 | Mineral resource scarcity | USD2013 | 5.00 × 10−4 |
22 | Fossil resource scarcity | USD2013 | 1.64 × 10−2 |
S/N | Damage Category | Unit | Value |
---|---|---|---|
1 | Human health | DALY | 1.62 × 10−6 |
2 | Ecosystems | Species/yr | 3.90 × 10−9 |
3 | Resources | USD2013 | 0.0169 |
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Akintayo, B.D.; Olanrewaju, O.A.; Olanrewaju, O.I. Life Cycle Assessment of Ordinary Portland Cement Production in South Africa: Mid-Point and End-Point Approaches. Sustainability 2024, 16, 3001. https://doi.org/10.3390/su16073001
Akintayo BD, Olanrewaju OA, Olanrewaju OI. Life Cycle Assessment of Ordinary Portland Cement Production in South Africa: Mid-Point and End-Point Approaches. Sustainability. 2024; 16(7):3001. https://doi.org/10.3390/su16073001
Chicago/Turabian StyleAkintayo, Busola Dorcas, Oludolapo Akanni Olanrewaju, and Oludolapo Ibrahim Olanrewaju. 2024. "Life Cycle Assessment of Ordinary Portland Cement Production in South Africa: Mid-Point and End-Point Approaches" Sustainability 16, no. 7: 3001. https://doi.org/10.3390/su16073001
APA StyleAkintayo, B. D., Olanrewaju, O. A., & Olanrewaju, O. I. (2024). Life Cycle Assessment of Ordinary Portland Cement Production in South Africa: Mid-Point and End-Point Approaches. Sustainability, 16(7), 3001. https://doi.org/10.3390/su16073001