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Methodology for estimating biomass energy potential and its application to Colombia

  • This paper presents a methodology to estimate the biomass energy potential and its associated uncertainty at a country level when quality and availability of data are limited. The current biomass energy potential in Colombia is assessed following the proposed methodology and results are compared to existing assessment studies. The proposed methodology is a bottom-up resource-focused approach with statistical analysis that uses a Monte Carlo algorithm to stochastically estimate the theoretical and the technical biomass energy potential. The paper also includes a proposed approach to quantify uncertainty combining a probabilistic propagation of uncertainty, a sensitivity analysis and a set of disaggregated sub-models to estimate reliability of predictions and reduce the associated uncertainty. Results predict a theoretical energy potential of 0.744 EJ and a technical potential of 0.059 EJ in 2010, which might account for 1.2% of the annual primary energy production (4.93 EJ).

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Metadaten
Author:Miguel Angel Gonzalez-Salazar, Mirko Morini, Michelle Pinelli, Pier Ruggero Spina, Mauro Venturini, Matthias FinkenrathORCiDGND, Witold-Roger Poganietz
DOI:https://doi.org/10.1016/j.apenergy.2014.07.004
Identifier:0306-2619 OPAC HS OPAC extern
Parent Title (English):Applied Energy
Publisher:Elsevier
Document Type:Article
Language:English
Year of first Publication:2014
Tag:Biomass
GND Keyword:Biomass
Volume:136
First Page:781
Last Page:796
Institutes:Fakultät Maschinenbau
IEAT - Institut für Energie- und Antriebstechnik
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften
Research focus:FSP1: Energie
Publication Lists:Finkenrath, Matthias
Publication reviewed:begutachtet
Release Date:2021/06/17
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