| Issue |
BIO Web Conf.
Volume 144, 2024
1st International Graduate Conference on Smart Agriculture and Green Renewable Energy (SAGE-Grace 2024)
|
|
|---|---|---|
| Article Number | 02008 | |
| Number of page(s) | 14 | |
| Section | Renewable Energy and Sustainable Power Systems | |
| DOI | https://doi.org/10.1051/bioconf/202414402008 | |
| Published online | 25 November 2024 | |
Banana-Based Biomass Power Plant Site Suitability Analysis through GIS Mapping in Davao Del Norte
1 Electronics Engineering Department, Polytechnic University of the Philippines – Manila, Philippines
2 Electronics Engineering Department, Polytechnic University of the Philippines – Manila, Philippines
3 Director of Research Institute for Strategic Foresight and Innovation, Polytechnic University of the Philippines – Manila, Philippines
* Corresponding author: odtubola@pup.edu.ph
Given the abundance of biomass resources in the Philippines, particularly in its agricultural sector, it becomes crucial to assess these resources for their potential in bioenergy production. A key aspect of this assessment is site suitability analysis, which considers various factors such as Road accessibility, Slope of land, water bodies, Built-up Areas, constrained areas, and Banana cultivation area. Notably, Davao del Norte boasts the largest banana plantation in the country, offering ample agricultural residues. With an increasing population residing at a considerable distance from these croplands, there is an opportunity for efficient electricity utilization. Therefore, this study employs Geographic Information Systems (GIS) to develop a methodology for identifying suitable locations for biomass power plant development in Davao del Norte, Philippines. Multi-Criteria Decision Analysis (MCDA) is incorporated into the QGIS platform for the analysis. The municipality of Asuncion is the most suitable location for biomass power plant development, according to the results of this analysis.
Key words: Biomass / GIS / Power Plant / Site Suitability Analysis / Banana / Davao del Norte
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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