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Regional Characterization

Regional Characterization. Howard Herzog Weifeng Li Xiongjiu Liao Aleks Kalinowski. hjherzog@mit.edu liw@mit.edu xliao@mit.edu aakal@mit.edu. MIT Laboratory for Energy and the Environment. Overview of activities. Update of CO 2 Sources Source-Sink matching One-to-one matching

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Regional Characterization

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  1. Regional Characterization Howard Herzog Weifeng Li Xiongjiu Liao Aleks Kalinowski hjherzog@mit.edu liw@mit.edu xliao@mit.edu aakal@mit.edu MIT Laboratory for Energy and the Environment

  2. Overview of activities • Update of CO2 Sources • Source-Sink matching • One-to-one matching • Transport cost package • Injection cost package • Many-to-many optimisation (Los Alamos National Laboratory collaboration) Aleks Kalinowski MIT Laboratory for Energy and the Environment

  3. Updating the CO2 sources database Aleks Kalinowski MIT Laboratory for Energy and the Environment

  4. Calculating CO2 Transportation Cost Three parts: • Module to calculate pipeline diameter (D) • Module to identify the least-cost path connecting a CO2 source to a given sink (L) • Using national transportation obstacle layers • Economic module to calculate the total and annualized CO2 pipeline transportation cost Aleks Kalinowski MIT Laboratory for Energy and the Environment

  5. Determining the least-cost path • Pipeline construction costs vary considerably • Terrain • Crossings (waterways, railways, highways) • Protected areas • Populated areas • Obstacle grid layers (1x1km) are used to determine the least-cost pipeline route. • Current version: • identify the least-cost path • calculate its length • One-to-one matching Aleks Kalinowski MIT Laboratory for Energy and the Environment

  6. Example of obstacle layers Aleks Kalinowski MIT Laboratory for Energy and the Environment

  7. Obstacle conditions & relative cost factors Aleks Kalinowski MIT Laboratory for Energy and the Environment

  8. Aggregate cost factor map Aleks Kalinowski MIT Laboratory for Energy and the Environment

  9. Least-cost Path Example Matching CO2 Sources to Oil Fields with EOR Potential in Eastern Texas Aleks Kalinowski MIT Laboratory for Energy and the Environment

  10. Land Construction Cost (LCC) 1. MIT correlation LCC = a × D × L Where: a = $33,853 (per inch per mile) D: pipeline diameter (inches) L: pipeline path length (miles) Aleks Kalinowski MIT Laboratory for Energy and the Environment

  11. Land Construction Cost (LCC) 2. CMU correlation LCC = a × Dx × Ly × z Where: z = region weight a = $42,404 x = 1.035 y = 0.853 Aleks Kalinowski MIT Laboratory for Energy and the Environment

  12. MIT-CMU correlations • MIT Correlation: $33,853/in/mile • CMU Correlation: ($/in/mile) For SECARB region: Aleks Kalinowski MIT Laboratory for Energy and the Environment

  13. Pipeline: Calculating Annualized Cost General Equation: Annualized Cost = LCC × Capital Charge Factor + O&M Cost Where: • LCC = land construction cost • Capital Charge Factor: Use 0.15 by default • O&M Cost = $5,000 × Length (miles) (per year) Aleks Kalinowski MIT Laboratory for Energy and the Environment

  14. Tutorial: Transportation Package V1.0 Aleks Kalinowski MIT Laboratory for Energy and the Environment

  15. Current work • Refining transport package • Update obstacle layers • Completing & implementing injection costs package • Many-to-many sources-sinks matching Aleks Kalinowski MIT Laboratory for Energy and the Environment

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