================================================================================System dynamics model of refuse-derived fuel adoption inIndonesia's cement industry: model file and simulation dataset================================================================================ ASSOCIATED ARTICLE------------------Ummatin KK, Hidayatno A, Setiawan AD, Abubakar MAS.Readiness-Contingent Policy Design for Refuse-Derived Fuel Adoption inIndonesia's Cement Industry: A Scenario-Based System Dynamics Analysis.Submitted to Clean Technologies and Environmental Policy (Springer).[Article DOI to be added on publication] Corresponding author: Akhmad HidayatnoSystems Engineering, Modeling and Simulation Laboratory,Department of Industrial Engineering, Faculty of Engineering,Universitas Indonesia, Depok, IndonesiaE-mail: akhmad.hidayatno@ui.ac.id CONTENTS--------RDF_adoption_model.mdl Vensim model file, plain-text format. Six modules: population, MSW generation, RDF adoption, RDF production, RDF demand, and avoided CO2 emissions. Readable in any text editor. RDF_adoption_model.2mdl Same model, Vensim binary format. run_baseline.vdfx Simulation run output (Vensim binary dataset format). annual_simulation_outputs.xlsx Annual simulation outputs, 2026-2045, for every condition and instrument combination reported in the article. Sheets: README - run settings and units Baseline_by_condition - no-policy baseline, three conditions Low Readiness - four instruments Circular Transition - four instruments Enabling Ecosystem - four instruments Validation - behaviour-reproduction test data Cumulative_summary - cumulative RDF and avoided CO2 Supplementary_Information_FIX.docx Supplementary Information accompanying the article. Contains the stock-and-flow structure of each of the six modules (Figs. S1-S6) and the complete model formulation (Tables S1-S6): every variable, its dimension, unit, and defining equation, including the values of all model constants. NOTE ON PARAMETERS------------------All parameter values used in the simulations are given in two places:Tables S1-S6 of the Supplementary Information, and the model fileitself, which is plain text and lists every constant and lookupfunction. No separate parameter spreadsheet is required to reproducethe results. MODEL SETTINGS--------------Software Vensim (PLE or higher; the .mdl file opens in any version)Initial time 2020Final time 2045Time step 0.25 yearIntegration EulerSpatial scope East Java province, Indonesia HOW TO REPRODUCE----------------1. Open RDF_adoption_model.mdl in Vensim.2. Set the readiness condition by applying the per-capita waste generation, RDF yield, and coal price ranges given in Table 2 of the article.3. Apply an instrument: tipping fee Rp100,000/t or Rp200,000/t, or the TSR target trajectory rising from 10% to 50% over 2025-2045.4. Run to 2045. Outputs should match annual_simulation_outputs.xlsx. Figures 5 to 8 of the article are generated directly fromannual_simulation_outputs.xlsx. NOTES AND LIMITATIONS---------------------- Avoided-emission factors are held constant in the model (1.96 t CO2/t RDF landfill methane; 2.0 t CO2/t RDF coal displacement). Emission results are therefore structural model outputs, not empirically calibrated values, and await independent life-cycle validation.- RDF yield is an exogenous scenario condition, not an endogenous variable.- The model represents East Java and is not calibrated to other Indonesian provinces. COPYRIGHT AND LICENCE---------------------(c) 2026 The Authors (K.K. Ummatin, A. Hidayatno, A.D. Setiawan,M.A.S. Abubakar). Made available under CC BY 4.0. Data and documentation: CC BY 4.0Model file: CC BY 4.0 You are free to share and adapt this material for any purpose, providedappropriate credit is given to the authors and to the associated article. CITATION--------Ummatin KK, Hidayatno A, Setiawan AD, Abubakar MAS (2026)System dynamics model of refuse-derived fuel adoption in Indonesia'scement industry: model file and simulation dataset [Data set].Zenodo. https://doi.org/10.5281/zenodo.21866680