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Howard Herzog and David Cheng / MIT Laboratory for Energy and the Environment Geographic Information Systems (GIS) An extension to database technologiesAn extension to database technologies Tools to model, analyze and visualize spatial relationshipsTools to model, analyze and visualize spatial relationships Layer different types of information togetherLayer different types of information together Computations and analyses more efficientComputations and analyses more efficient Image Source: ESRI
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Carbon Capture and SequestrationCarbon Capture and SequestrationAnalysis of OptionsAnalysis of Options
West Coast Regional Carbon Sequestration PartnershipWest Coast Regional Carbon Sequestration PartnershipKickoff MeetingKickoff MeetingOctober 1, 2003October 1, 2003
Howard Herzog, David ChengHoward Herzog, David ChengMITMIT
Howard Herzog and David Cheng / MIT Laboratory for Energy and the Environment
MIT’s Carbon Capture and MIT’s Carbon Capture and Sequestration Technologies ProgramSequestration Technologies Program• Annual ForumAnnual Forum• Research Research
Technology Assessments and DevelopmentTechnology Assessments and Development Economic ModelingEconomic Modeling Geographic Information System (GIS) ModelingGeographic Information System (GIS) Modeling Environmental/Social/Political AssessmentsEnvironmental/Social/Political Assessments
• OutreachOutreach PublicationsPublications Committees and WorkshopsCommittees and Workshops PressPress
Howard Herzog and David Cheng / MIT Laboratory for Energy and the Environment
Geographic Information Systems Geographic Information Systems (GIS)(GIS)
• An extension to An extension to database technologiesdatabase technologies
• Tools to model, analyze Tools to model, analyze and visualize spatial and visualize spatial relationshipsrelationships
• Layer different types of Layer different types of information togetherinformation together
• Computations and Computations and analyses more efficientanalyses more efficient
Image Source: ESRI
Howard Herzog and David Cheng / MIT Laboratory for Energy and the Environment
Carbon Management GISCarbon Management GIS
• Distributed Information Management Distributed Information Management System (DIMS)System (DIMS) Integrate information from diverse sourcesIntegrate information from diverse sources Data in various formats Data in various formats Data providers at disparate locationsData providers at disparate locations
• Inform and support policy decisionsInform and support policy decisions• Bridges assessment gap between data Bridges assessment gap between data
collection and policy planningcollection and policy planning
Howard Herzog and David Cheng / MIT Laboratory for Energy and the Environment
Develop Core DataDevelop Core Data
• Investigation of data relating to carbon Investigation of data relating to carbon dioxide capture and sequestrationdioxide capture and sequestration Evaluate and enhance the quality of GIS dataEvaluate and enhance the quality of GIS data Describe data gapsDescribe data gaps Standardize data requirementsStandardize data requirements Integration of dataIntegration of data
Howard Herzog and David Cheng / MIT Laboratory for Energy and the Environment
Data TypesData Types
• Data requirements for selecting Data requirements for selecting sequestration options include:sequestration options include: Technical dataTechnical data
» COCO2 2 infrastructure (sources, sinks, transport)infrastructure (sources, sinks, transport)» Topography (elevation, rivers, land type)Topography (elevation, rivers, land type)
Political data (demographics, sensitive areas)Political data (demographics, sensitive areas) Economic data (cost algorithms)Economic data (cost algorithms) Regulatory data (permitting)Regulatory data (permitting)
Howard Herzog and David Cheng / MIT Laboratory for Energy and the Environment
Howard Herzog and David Cheng / MIT Laboratory for Energy and the Environment
DataData
• Databases are still evolvingDatabases are still evolving Data not always sufficient for robust analysesData not always sufficient for robust analyses Recognition of data issues is important for Recognition of data issues is important for
interpreting resultsinterpreting results
Howard Herzog and David Cheng / MIT Laboratory for Energy and the Environment
Analysis ToolsAnalysis Tools
• Development of programs to automate basic Development of programs to automate basic carbon management analysiscarbon management analysis Cost of transportationCost of transportation Cost of injectionCost of injection Viable source/sink pairingsViable source/sink pairings Project screeningProject screening
Howard Herzog and David Cheng / MIT Laboratory for Energy and the Environment
Our Role in WCRCSPOur Role in WCRCSP
• Help integrate dataHelp integrate data Store data on consistent basisStore data on consistent basis Easily display data in various combinationsEasily display data in various combinations Perform queries and simple manipulationsPerform queries and simple manipulations
• Perform analysesPerform analyses e.g., Cost estimation, source/sink matchinge.g., Cost estimation, source/sink matching Initial screening to help identify potential Initial screening to help identify potential
projectsprojects
Howard Herzog and David Cheng / MIT Laboratory for Energy and the Environment
Contact InformationContact Information
• Web Site - sequestration.mit.eduWeb Site - sequestration.mit.edu• ContactContact
Howard HerzogHoward Herzog Laboratory for Energy and the Environment Laboratory for Energy and the Environment
(LFEE)(LFEE) Room E40-447Room E40-447 617-253-0688617-253-0688 [email protected]@mit.edu