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Energy, Industry, and Economy Models, Submodules, and Linkages

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Energy, Industry, and Economy Models, Submodules, and Linkages

  1. 1. Max(well) Brown IEA-ETSAP Workshop, Columbia University December 1st, 2022 Energy, industry, and economy models, submodules, and linkages
  2. 2. NREL | 2 • General: Daniel Steinberg • FINITO: Caroline Hughes, Colin McMillan, Ookie Ma, Merve Olmez-Turan • SLiDE: Jon Becker, Jared Carbone, Caroline Hughes • Hydrogen: Patrick Brown, Paige Jadun, Mark Ruth • CCTUS: Stuart Cohen, NREL, NETL, EMTEC (formerly EMRE) • ReEDS Spatial and Temporal Flexibility: Patrick Brown, Wesley Cole, Matt Irish, Brian Sergi Credit
  3. 3. CO2 ReEDS SLiDE FINITO WINDC Model Map Long-term forecasting models: • FINITO - The Fuels and Industry Integrated Optimization Model (fuels/industry) • ReEDS – Regional Energy Deployment System (electricity) • SLiDE – Scalable Linked Dynamic Equilibrium model (economy) Economic models/data: • JEDI – jobs and economic development index model • WINDC – Wisconsin National Data Consortium (state-level) • GTAP – Global Trade Analysis Project (international) Power System Models: • beetle - translator from ReEDS to SIIP and PLEXOS • SIIP – scalable integrated infrastructure planning model • PLEXOS – power system model (commercial) Data inputs to dsGrid: • ResStock - Residential buildings stock model • ComStock - Commercial buildings stock model • IGATE-E - Industrial Geospatial Analysis Tool for Energy Evaluation (ORNL) • TEMPO - Transportation Energy & Mobility Pathway Options Model Miscellaneous: • dsgrid – demand-side grid (8,760 load data by sector) • dGen – distributed generation model (distributed PV) • PRAS – probabilistic resource adequacy suite (reliability) GTAP dsgrid dGen H2 beetle SIIP PRAS [Power, fuel supply, and industrial sector evolution] [Economic, Distributional Impacts] [Detailed power operations] PLEXOS Transport Electricity and Fuel Demand • Steinberg et al. – under review JEDI • Lord, 2014 – NETL updating by year end ResStock ComStock IGATE-E TEMPO Publicly Available
  4. 4. SLiDE FINITO Today… CO2 H2 • Steinberg et al. – under review Focusing on: • ReEDS: Electricity capacity expansion (briefly) • FINITO: Fuel supply and industrial expansion • SLiDE: Economic and distributional impacts • CO2 and H2 modules ReEDS [Power, fuel supply, and industrial sector evolution] [Economic, Distributional Impacts] • Lord, 2014 – NETL updating by year end
  5. 5. Regional Energy Deployment System (ReEDS) • LP: Minimize power sector’s costs of operation and investment • Detailed characterization of renewable capacity • High spatial*, technological, and temporal* resolution • Used in > 100 publications Publicly available: https://www.nrel.gov/analysis/reeds/
  6. 6. FINITO - Overview The Fuels and Industry Integrated Optimization Model
  7. 7. NREL | 7 Draft – Internal Only – Do not cite SLiDE • Scalable – Geographical: Counties* -> Nations – Sectoral: Broad -> Specific • Linked – With sector-specific planning and operations models • Dynamic – Consideration of future market conditions – Myopic -> Intertemporal representations • Equilibrium – Linked version in GAMS – Open-source model written in SLiDE Repo: https://github.com/NREL/SLiDE Relies on Wisconsin National Data Consortium: https://windc.wisc.edu/ Preliminary and Exemplary Results – do not cite/quote SLiDE Preliminary Results – Do not cite/quote
  8. 8. CO2 • Recent work with NETL and EMTEC H2 • SERA, h2a, h2a-lite • SMR, SMR-CCS, Electrolyzers Constraints on.. - Injection rate - Total, net injection Costs of.. - Pipe and spur line investment - Injection costs (levelized or investment) - New and upgraded plant capacity Pipelines and Reservoirs
  9. 9. Relevant Projects, Next Steps ReEDS • Spatial and temporal flexibility* FINITO • Spatial flexibility • LP/MILP & NLP/MINLP • Shipping routes/distances/costs SLiDE • Demographics • Calibration via/vs linkage
  10. 10. Objectives • Inflation Reduction Act analysis (all three models) • Pathways to decarbonize industry and fuel supply • Interaction of industry and power for CO2 and H2 networks • National Bureau of Economic Research (NBER) paper
  11. 11. www.nrel.gov Photo from iStock-627281636 Q&A Maxwell.Brown@NREL.gov
  12. 12. Idea • ReEDS standalone* – H2 and CO2* • …/modules/ – ..SLiDE/WINDC/GTAP* – ..FINITO* – ..dsgrid – ..beetle/[SIIP and PLEXOS]
  13. 13. Appendix • Minimum return on investment constraint (require price as variable or markup?) • Integer decisions on… – Plant investment – Product pipeline, storage, and injection (?) investment (primarily CO2, H2) • Notes on regional scaling: – Downscaling state-level demands – County-level for corn/stover/woody – Downscaled from state on FOG/MSW – Mappings to CENDIV/state/…
  14. 14. NREL | 14
  15. 15. NREL | 15 Source Data for Existing Capacity in Focus Sectors • All capacities for the focus sectors are represented at the facility level in physical units Sector Source Hydrogen • Scenario Evaluation and Regionalization Analysis (SERA) Model Ammonia • United States Geological Survey (USGS) Cement • Spatial Finance Initiative • Title V Operating Permits • Company websites Iron and Steel • EPA • Spatial Finance Initiative • Title V Operating Permits • Company websites
  16. 16. NREL | 16 Process/Technology Representations in the Focus Sectors Product Pathway/Technology Hydrogen • Steam Methane Reforming (SMR) • SMR with CCS • Electrolysis Ammonia • Merchant Haber-Bosch (purchased H2) • Integrated SMR (w/ and w/o CCS) + Haber-Bosch • Electrolysis + Haber-Bosch • Electrochemical Cement All Portland Cement • Conventional • Tail-end 50% capture CCS • Calcium looping CCS Iron and Steel • Blast Furnace/Basic Oxygen Furnace w/ and w/o CCS • Direct reduced iron (DRI): natural gas, natural gas w/ CCS, H2/NG blend, flash • Electric Arc Furnace (EAF)
  17. 17. FINITO - TEMP • Discuss – Objective function – Supply/demand curves – Linkage ... Model ReEDS /all/ ; Solve ReEDS using LP minimizing Z_ReEDS ; ... same for FINITO ... equation eq_reeds_finito_objective ; variable Z_FINITO ; eq_reeds_finito_objective.. Z =e= Z_ReEDS + Z_FINITO ; Model ReEDS_FINITO /all/ ; Solve ReEDS_FINITO using LP minimizing Z ; ...
  18. 18. FINITO – Preliminary Results Preliminary Results – Do not cite/quote 80% linear reduction in CO2 emissions by 2050 relative to 2022
  19. 19. NREL | 19 Draft – Internal Only – Do not cite Fuel quantities Labor and capital quantities Electricity quantity and price SLiDE Fuel prices Labor and capital price indices Demand curve specification Similar effort to USREP-ReEDS (Caron et al. 2018, Yuan et al. 2022) Method from Böhringer and Rutherford, 2008 GTAP FINITO ReEDS-SLiDE

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