Ukoba, M O, Diemuodeke, E O, Briggs, T A, Imran, M, Ojapah, M M, Owebor, K, Nwachukwu, C, Aminu, M D, Okedu, K E, Kalam, A and Colak, I (2023). Optimal sites for agricultural and forest residues energy conversion plant using geographic information system. Heliyon, 9 (9), e19660.
Abstract
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.]
Publication DOI: | https://doi.org/10.1016/j.heliyon.2023.e19660 |
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Divisions: | College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design College of Engineering & Physical Sciences > Energy and Bioproducts Research Institute (EBRI) College of Engineering & Physical Sciences |
Additional Information: | © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
Uncontrolled Keywords: | Forest waste,GIS,Net-zero,Agrowaste,Bioenergy,Optimal sites |
Publication ISSN: | 2405-8440 |
Last Modified: | 07 Oct 2024 07:52 |
Date Deposited: | 23 Oct 2023 11:10 |
Full Text Link: | |
Related URLs: |
https://www.sci ... 405844023068688
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2023-09-14 |
Accepted Date: | 2023-08-29 |
Submitted Date: | 2023-04-28 |
Authors: |
Ukoba, M O
Diemuodeke, E O Briggs, T A Imran, M ( 0000-0002-3057-1301) Ojapah, M M Owebor, K Nwachukwu, C Aminu, M D Okedu, K E Kalam, A Colak, I |
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