Supplementary data for: Simplified Hourly Dispatch Modelling of SMR Integration in Greece's Energy Transition

This dataset accompanies the manuscript "Simplified Hourly Dispatch Modelling of SMR Integration in Greece's Energy Transition: A Scenario Comparison for 2030–2050 Based on Open-Source Data" submitted to Energy Policy. The workbook contains the complete supplementary material for a simplified 8,760-hour merit-order dispatch model that compares a High-RES expansion pathway against an SMR-integrated pathway for the Greek electricity system in 2030, 2040, and 2050. The model uses normalized 2023 hourly load and generation profiles from the ENTSO-E Transparency Platform, scaled to official Greek policy targets. Contents (11 sheets): README — Guide to the workbook structure. Data_Dictionary — Variable names, units, and descriptions for all sheets. assumptions — Model parameters (battery efficiency, unit costs, emissions coefficient). official_targets — Scenario inputs: demand, capacities, storage, gas/import caps, SMR deployment. annual_summary — Annual outputs for all 5 scenarios: generation mix, curtailment, CO2, cost proxy, LOLP, EENS. sensitivity — Sensitivity results for SMR pathways (FOAK cost, gas price, storage, import cap variations). 2030_BAU, 2040_HighRES, 2040_HighRES_SMR, 2050_HighRES, 2050_HighRES_SMR — Full 8,760-hour dispatch profiles with hourly load, VRE, hydro, SMR, battery charge/discharge, gas, imports, curtailment, unserved energy, and battery state of charge. All data are provided to support transparency and reproducibility. The dispatch logic and scenario architecture are described in Section 2 of the accompanying manuscript.本数据集配套投稿至《Energy Policy》的研究论文《希腊能源转型中小型模块化反应堆（Small Modular Reactor, SMR）集成的小时级调度简化建模：基于开源数据的2030–2050年情景对比》的补充材料。 该工作簿包含完整的补充材料，用于构建简化的8760小时 merit-order调度模型，对比希腊电力系统在2030、2040及2050年的高可再生能源扩容路径（High-RES）与集成SMR路径。本模型采用欧洲输电系统运营商联盟（European Network of Transmission System Operators for Electricity, ENTSO-E）透明度平台提供的2023年标准化小时级负荷与发电曲线，并根据希腊官方政策目标进行缩放调整。 数据集共包含11个工作表： 1. README：工作簿结构使用指南 2. Data_Dictionary：所有工作表的变量名称、单位及说明 3. assumptions：模型参数（含电池效率、机组单位成本、排放系数） 4. official_targets：情景输入参数：电力需求、装机容量、储能配置、天然气/电力进口上限、SMR部署规划 5. annual_summary：全部5种情景的年度输出结果：发电结构、弃电量、二氧化碳排放量、成本代理指标、负荷损失概率（Loss of Load Probability, LOLP）、期望停电电量（Expected Energy Not Supplied, EENS） 6. sensitivity：SMR情景的敏感性分析结果（含首次商业化机组（First-of-a-Kind, FOAK）成本、天然气价格、储能配置、进口上限的参数变动） 7. 2030_BAU、2040_HighRES、2040_HighRES_SMR、2050_HighRES、2050_HighRES_SMR：包含完整8760小时调度曲线的工作表，涵盖小时级负荷、可变可再生能源（Variable Renewable Energy, VRE）、水电、SMR、电池充放电、天然气发电、电力进口、弃电、未供应电量及电池荷电状态（State of Charge, SOC）数据。 所有数据均公开提供，以保障研究的透明度与可复现性。该调度逻辑与情景架构详见配套论文的第2章节。