BioEnergy Assessment Wim Hugo SAEON ICSU WDS July 2015 Interoperability Considerations Syntactic Service end point definitions for data metadata and processed Schematic Structure and expected content standards for data and metadata ID: 787839
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Slide1
Multi-Disciplinary Framework for BioEnergy Assessment
Wim HugoSAEON/ ICSU WDSJuly 2015
Slide2Interoperability Considerations
SyntacticService end point definitions for data, meta-data, and processedSchematicStructure and expected content standards for data and meta-dataSemanticMeaning of the content, vocabularies, information on protocols and methodology, scales, caveats, …
Slide3Compromises
Common analysis surface‘Mesozones’ – defined originally in 2005 for demographic and socio-economic data sets (’GeoSpatial Analysis Platform’).Homogenous in respect of administrative boundaries, settlement typology, conservation areas, and major topographical features.
Why not rasters?Data sets contain many attributes, sometimes in different time slicesDifficult to aggregate to meaningful spatial representations
Slide4Scope of Data Sets
Basic Factors of Productivity
Infrastructure
Yield Potentials
Agro-Forestry Status Quo
Biomass Estimates
Analysis Zone
Biomass Potentials
Demography, Demand, and Economy
Processing Options and Locations
Feasibility Assessments
Impacts
Social
Environmentql
Economic
Assumptions
Slide5Methodology
Base Layers, Climate, Soil, Protected Areas, Slope, …
Net Primary Productivity
Current Cultivation or Extent
ORDemography
Statistics and Published Assessments
Yield
:
Biomass Increment per Annum
Potentials
: Biomass per Annum per Planning Zone
Applicable Exclusions: Conservation Areas, Slope, …
Availability
: Biomass per Planning Zone per Annum
Current Uses
Available Land, if Applicable
Feasibility
: Optimal Size
Product Cost Location
Filters
:
Acceptable Cost, Logistics, Infrastructure, Size
Technology Options
Planning Scenarios and Demand
Theoretical
Crop Yields
Slide6Data
Reports
Applications
Other Media
Web-Based
Typical Outputs and Resources
Spatial Data
Sets
Fact Sheets
Theme Reports
Dealing with specific aspects of the research
Meta-Data
Sheets
Synthesis
Reports
aimed at general audience
Case Studies
specific questions and topics
Interactive Web-Based Atlas
Interactive
Decision Support
Print Edition
DVD Edition
BAPEPSA
Advisory services/ data to Eskom
NACI
Recommendations
Website
Search
Facility
Slide7Theoretical Yields
Data for Maize, Sugar Cane, Sorghum, Soy Beans, Groundnuts, Sunflower, Sweet Sorghum, Eucalyptus, Black Wattle, Pine Varieties.
Slide8Examples of Potential and Availability
Based on Cultivation on Subsistence and Degraded Cropland
Slide9Infrastructure
Slide10Infrastructure: is it adequately
distributed?
Accessibility to Infrastructure
Poorly served population
Economic Activity
Biomass Availability
Slide11Processing Technologies
20-year
levelised
cost was used to select technology representing the lowest cost option(s) out of 52 candidates – grouped by biomass feedstock and showing applicable size range.
Slide12Feasibility Assessment
Quantity is a Function of Product Price
Cumulative Availability of Power (MW)
Slide13Typical Feasibility Assessment
Slide14Economy of Scale, Location, and Feedstock Costs
Slide15District and Local Level Decision Support
Slide16Online Decision Support
Slide17Questions and Answers
What are the most feasible options and their impacts?How do we assist the rural poor?Can we supplement electricity generation?
What is the best option for combined ligno-cellulosic biomass?Can synthetic fuel production be supplemented?What are the knowledge gaps?
Can we develop a biomass utilisation strategy?
Slide18Benefits of the Framework Remaining
QuestionsProcess interoperability
simplifiedCross-disciplinary analysis
and filtering of optionsAccess to data sets produced by third parties
Common vocabulary required for automationGlobal framework
not
practical
or
achievable
Slide19Resources, Sustainability, and Capacity
Data Systems and WebsiteSustainable future availability within SAEON Data Platform
Community
WorkshopsNewsletterIRENA and GEO
Human Capacity1 Analyst
1 Scientist
2 Interns
1 Liaison Officer
1 Data Centre Manager
Content and Growth
Research Programme
NRF Grants
GCGC
SAEON Data Centre: Physically in Pretoria and Cape Town, linked via SANREN, with 72 TB online storage and backup and a portfolio of virtual servers