EU-wide renewable fuel supply chain design under variable renewable electricity: A two-stage stochastic programming approach - Supplementary materials

This repository contains the data and results supporting the study: “EU-wide renewable fuel supply chain design under variable renewable electricity: A two-stage stochastic programming approach.” Contents: TSSP Model Input Data: Contains all input parameters used in the optimization model, including techno-economic data, demand data, resource availability, and scenario definitions for renewable electricity. TSSP Notation and Formulation: Contains all mathematical notation and formulation used in the optimization model. Base Case Configuration: Provides visualizations and configuration details of the TSSP base case, including network structure and technology options. TSSP_BaseCase: Results of the two-stage stochastic programming (TSSP) model for the assumptions of the base case, incorporating uncertainty in renewable electricity availability. TSSP_Contract Import Share of 10%: TSSP results under contracted imports limited to 10% of total demand, reflecting low reliance on long-term import agreements. TSSP_Contract Import Share of 50%: TSSP results under contracted imports cover up to 50% of total demand, representing strong dependence on stable import agreements. TSSP_Spot Import Ratio of 5: TSSP results under a pricing structure where the cost of spot imports is 5 times higher than contracted imports. TSSP_Spot Import Ratio of 10: TSSP results under a pricing structure where the cost of spot imports is 10 times higher than contracted imports. TSSP_Double_Contract_Price: TSSP results under a case where the price of contracted imports is doubled, capturing the impact of increased long-term import costs on supply chain design. EV_Base (Expected Value Solution): Results of the deterministic model where uncertain parameters are replaced by their expected values. EEV_Base (Expected Result of Expected Value Solution): Performance of the EV solution when evaluated across all stochastic scenarios. WS_Base (Wait-and-See Solution): Results of the perfect information benchmark, where decisions are optimized with full knowledge of future uncertainty.