## 2 Materials and LCA Methodology
### Interpretation  
The final step involved interpreting the inventory and impact assessment results in alignment with this study's objectives. This step included summarizing the previous phases and formulating recommendations. Furthermore, two main LCA approaches were recognized: consequential LCA (cLCA) and attributional LCA (aLCA). The cLCA approach evaluates environmental implications based on marginal data, while the aLCA assesses average environmental impacts over a product's life cycle. \begin{table}
\begin{tabular}{l l l l} \hline
**Category** & **Component** & **Amount** & **Unit** \\ \hline \multicolumn{4}{l}{Feed Conditioning and BG} \\ \multicolumn{4}{l}{Reforming} \\ \multicolumn{4}{l}{BG} \\ \multicolumn{4}{l}{Water} \\ \multicolumn{4}{l}{Air} \\ \multicolumn{4}{l}{Electricity} \\ \multicolumn{4}{l}{Construction} \\ \multicolumn{4}{l}{Concrete} \\ \multicolumn{4}{l}{Steel} \\ \multicolumn{4}{l}{Aluminum} \\ \multicolumn{4}{l}{Iron} \\ \multicolumn{4}{l}{Equipment} \\ \multicolumn{4}{l}{Steel} \\ \multicolumn{4}{l}{High-quality} \\ \multicolumn{4}{l}{Technosphere} \\ \multicolumn{4}{l}{Technosphere} \\ \multicolumn{4}{l}{Alumina} \\ \multicolumn{4}{l}{Cast iron} \\ \multicolumn{4}{l}{WGS and Purification} \\ \multicolumn{4}{l}{Steel} \\ \multicolumn{4}{l}{Aluminum} \\ \multicolumn{4}{l}{Aluminum} \\ \multicolumn{4}{l}{Alumina} \\ \multicolumn{4}{l}{Lron} \\ \multicolumn{4}{l}{Cast iron} \\ \multicolumn{4}{l}{Hon} \\ \multicolumn{4}{l}{Cast iron} \\ \multicolumn{4}{l}{Cast iron} \\ \multicolumn{4}{l}{WGS and Purification} \\ \multicolumn{4}{l}{Steel} \\ \multicolumn{4}{l}{Steel} \\ \multicolumn{4}{l}{High-quality} \\ \multicolumn{4}{l}{Steel} \\ \multicolumn{4}{l}{High-quality} \\ \multicolumn{4}{l}{Aluminum} \\ \multicolumn{4}{l}{Alumina} \\ \multicolumn{4}{l}{Iron} \\ \multicolumn{4}{l}{Cast iron} \\ \multicolumn{4}{l}{Cast iron} \\ \multicolumn{4}{l}{Nickel} \\ \multicolumn{4}{l}{Steel low alloy} \\ \multicolumn{4}{l}{Hon} \\ \multicolumn{4}{l}{Steel} \\ \multicolumn{4}{l}{low alloy} \\ \multicolumn{4}{l}{Hon} \\ \multicolumn{4}{l}{Hon} \\ \multicolumn{4}{l}{Technosphere} \\ \multicolumn{4}{l}{Outputs to the} \\ \multicolumn{4}{l}{Environment} \\ \multicolumn{4}{l}{CO\({}_{2}\), biogenic} \\ \multicolumn{4}{l}{13.43} \\ \multicolumn{4}{l}{kg} \\ \hline \end{tabular}
\end{table} 
Table 3: Main inventory data on H\({}_{2}\) production from biogas reforming [44]. The environmental impacts of the two hydrogen production pathways were evaluated and compared using the following impact categories: global warming potential (GWP), stratospheric ozone depletion (SOD), ionizing radiation (IR), Ozone Formation Human Health (OFHH), fine particulate matter formation (FPMF), Ozone Formation Terrestrial Ecosystems (OFTESs), terrestrial acidification (TA), freshwater eutrophication (FEW), marine eutrophication (ME), terrestrial ecotoxicity (TET), freshwater ecotoxicity (FWT), marine ecotoxicity (MET), human carcinogenic toxicity (HCT), human non-carcinogenic toxicity (HNCT), land use (LU), mineral resource scarcity (MRS), fossil resource scarcity (FRS), and water consumption (WC) [11]. The life cycle modeling and simulation were performed using SimaPro 9.4, utilizing background data from the Ecoinvent 3.1 database. Simulation runtimes ranged from 12 to 18 min per scenario, depending on the complexity of the impact categories considered. The energy consumption during the computational phase was estimated at approximately 0.04 to 0.06 kWh. Peak memory usage during the life cycle inventory processing and impact assessment reached approximately 2.4 GB, influenced by database size, scenario configurations, and iterative calculations. These figures reflect the moderate computational requirements of SimaPro-based LCA modeling, supporting its feasibility for academic and institutional use with standard computing resources.