Optimal sites for agricultural and forest residues energy conversion plant using geographic information system

M O Ukoba, E O Diemuodeke, T A Briggs, M Imran, M M Ojapah, K Owebor, C Nwachukwu, M D Aminu, K E Okedu, A Kalam, I Colak

Research output: Contribution to journalArticlepeer-review


The Federal Government of Nigeria (FGN) has committed to net-zero emission development pathways to respond to the Paris Agreement adopted in 2015. However, the country is in dire need of energy to support its developmental ambitions. Therefore, it is necessary to consider green energy technologies to support both socioeconomic development and to meet the FGN's emission reduction target. In view of this, the current work presents the optimal sites for bioenergy plants in a state in Nigeria using Geographic Information System (GIS). Key findings suggest that 62.03 PJ/yr and 4.12 PJ/yr of energy could be derived from crop residues and forest residues, respectively, to support the state's bioenergy development. The crop residues considered include plantain (stem), oil palm (shell and fibre), maize (stalks) and cassava (peel and stalks). Six criteria were used in selecting the optimal sites, and include biomass residue distribution, settlement, road accessibility, nearness to waterline, slope and aspect. These criteria were incorporated into the ArcGIS platform through the weighted overlay tool. Strategically, the analysis presents seven sites for biomass plants to sustainably meet part of the energy needs. The efforts of the current work which supports not less than three SDGs-SDG 7 (Clean and Affordable Energy), SDG 12 (Responsible Consumption and Production) and SDG 13 (Climate Action), will assist policymakers in Nigeria to make appropriate policies within the climate change space. [Abstract copyright: © 2023 The Authors.]
Original languageEnglish
Article numbere19660
Pages (from-to)e19660
Issue number9
Publication statusPublished - 14 Sept 2023

Bibliographical note

© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license


  • Forest waste
  • GIS
  • Net-zero
  • Agrowaste
  • Bioenergy
  • Optimal sites


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