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AWB-REF: All Woody Biomass - Chipping and Pelleting (MW)

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Citation (What is it about and who created it or owns it)
Title AWB-REF: All Woody Biomass - Chipping and Pelleting (MW)
Publication Date2017
PublisherSouth African Environmental Observation Network
Creator (Author/ Responsible Party) Wim Hugo (ORCID, 0000-0002-0255-5101: ORCID ) , Affiliation: South African Environmental Observation Network, PO Box 2600, Pretoria, 0001, South Africa
Contributor DataCurator : South African Environmental Observation Network , Affiliation: SAEON - National Office, PO Box 2600, Pretoria, 0001, South Africa
Permanent Identifier 10.15493/SARVA.ENERGY.10000020 (DOI)
Online Resources
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Information AWB-REF: All Woody Biomass - Chipping an ...
Usage, Restrictions, Caveat
Licencing and Usage Rights Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) ( https://creativecommons.org/licenses/by-sa/4.0/legalcode )
Methodology
Biomass feasibility assesment dataset extracted from the BioEnergy Atlas for South Africa. * Assessments are made of impacts of economy of scale, logistics, and placement on techno-economic feasibility of feedstock and processing combinations, leading to identification of a portfolio of feasible project options. These options are illustrative of areas where bioenergy is likely to be a competitive, sustainable alternative. * Original dataset: https://dx.doi.org/10.15493/BEA.DATA.10000030 * BioEnergy Atlas Synopsis Report: https://dx.doi.org/10.15493/SAEON.BEA.DOCS.10000001
Data Dictionary/ Schema
Dictionary URL or Schemahttp://datacite.org/schema/kernel-3
Coverage (Main Dimensions of the Data)
Start Date2015
Date ( Accepted )
Date ( Issued )
Subjects chipping
Subjects feasibility
Subjects model outputs
Subjects pelleting
Subjects petroleum depots
Subjects refineries
Subjects woody biomass
Subjects Agriculture
Subjects Commercial bioenergy system
Subjects Energy
Subjects Bioenergy
Metadata Elements
Metadata Standarddatacite
Repository SARVA.ENERGY
Technical Data Set Parameters
Languageeng
Data Representationon
Spatial Coverage
Data Set Versions and Relationships

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