Development of a Life Cycle Inventory Database for Environmental Impact Assessment of Construction Materials in Burkina Faso

The construction sector plays a key role in the growth of developing countries but faces major environmental challenges, such as greenhouse gas emissions and resource depletion. Life Cycle Assessment (LCA) is an essential tool for evaluating these impacts and promoting sustainable choices. However, its effective application is limited by the lack of local databases. This study introduces a systematic framework (LOCAL-LCID2) for creating local Life Cycle Inventory (LCI) databases for developing countries. Its application is demonstrated in Burkina Faso’s (BF) context through a comparative LCA of commonly used materials, covering the cradle-to-gate stage. The methodology follows seven steps: (1) identification of materials, (2) data collection, (3) analysis of material and energy flows, (4) development of LCI database, (5) structuring the database using SimaPro 9.6.0, (6) calculation of environmental impacts via ReCiPe 2016 Midpoint, and (7) uncertainty analysis using the pedigree matrix and Monte Carlo simulation. The materials are categorized into two main groups (imported and locally produced) with five subcategories: materials for roofs, walls/structures, floors, openings, and others. The results show that for wall materials, concrete blocks have the highest Global Warming Potential (GWP), with 88.3% of CO2 emissions attributed to cement, implying an urgent need to optimize cement use and explore alternative binders for sustainable construction. Stabilized earth blocks show intermediate GWP at 65% of concrete block emissions, while straw-stabilized adobe demonstrates the lowest environmental impact, suggesting significant potential for reducing construction’s carbon footprint through traditional material optimization. The importation of steel sheets and ceramic tiles shows high GWP due to their energy-intensive production processes and long-distance transport (4 to 40% of emissions), highlighting opportunities to reduce impacts through local manufacturing and optimization of supply chains. The diversification of BF’s energy mix through clean energy imports from neighboring countries decreases GWP by 26.9%, indicating that regional energy partnerships and renewable energy investments are key pathways for minimizing environmental impacts related to energy consumption in the construction industry. Finally, the uncertainty analysis reveals the need for primary data updates in the current LCI database, highlighting both data quality enhancement opportunities and future research perspectives for industrial process assessment. The methodological framework equips decision-makers in developing countries with tools to implement sustainable construction practices through strategic material selection and regional resource optimization.