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).

Methodology for estimating biomass energy potential and its application to Colombia / Miguel Angel, Gonzalez Salazar; Morini, Mirko; Michele, Pinelli; Pier Ruggero, Spina; Mauro, Venturini; Matthias, Finkenrath; Witold Roger, Poganietz. - In: APPLIED ENERGY. - ISSN 0306-2619. - 136:(2014), pp. 781-796. [10.1016/j.apenergy.2014.07.004]

Methodology for estimating biomass energy potential and its application to Colombia

MORINI, Mirko;
2014-01-01

Abstract

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).
Methodology for estimating biomass energy potential and its application to Colombia / Miguel Angel, Gonzalez Salazar; Morini, Mirko; Michele, Pinelli; Pier Ruggero, Spina; Mauro, Venturini; Matthias, Finkenrath; Witold Roger, Poganietz. - In: APPLIED ENERGY. - ISSN 0306-2619. - 136:(2014), pp. 781-796. [10.1016/j.apenergy.2014.07.004]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2784215
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