4.4 Article

Biomass Selection Method to Produce Biogas with a Multicriteria Approach

Journal

WASTE AND BIOMASS VALORIZATION
Volume 12, Issue 6, Pages 3169-3177

Publisher

SPRINGER
DOI: 10.1007/s12649-020-01231-x

Keywords

Biomass selection; Biogas; Renewable energy; Multicriteria analysis; Bioenergy

Funding

  1. CAPES (Coordination of Superior Level Staff Improvement)

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This study aims to propose a mathematical method to assist handlers in selecting suitable biomass for biogas fermentation, by listing the main criteria for selection and establishing a ranking. The research used cattle, pigs, sheep, chicken and horses as alternatives, considering criteria such as logistics cost, waste production potential, biogas volume, and energy capacity for each biomass.
The first step in the biogas production process consists of analyzing how biomass alternatives are available in the locality and in the surroundings of the region where the biodigester is installed to make a selection that serves as an input for the system or food. Each biomass has different sources of nutrients, energy potential, chemical composition, processing, and ways of management that require decision making, which will be the option selected. This is often a problem for handlers, to safely decide which will be the best option for their reality. As a way to contribute to the solution of this problem, this study aimed to propose a mathematical method able to list the main criteria for selecting biomass, establishing a ranking ranging from the most preferable to the least preferable one. For the application of the multicriteria mathematical model (AHP-TOPSIS), the biomass of cattle (bovine), pigs (swine), sheep (ovine), chicken and horses (equine) were used as alternatives, taking into account the following criteria: (1) logistics cost, (2) potential for waste production from each herd, (3) the volume of biogas, and (4) energy capacity of each biomass. It was found a ranking for the alternatives and the consistency of the method was tested through sensitivity analysis.

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