Global Journal of Engineering and Technology Research (GJETR) · Research article · Open access
Geographic Information System– Analytic Hierarchy Process (GIS- AHP) Framework for Optimal Solar PV Deployment in Northern Samar
Elmera S. Doro, PhD Elvin L. Jarito
13 March 2026 · Vol. 2, Issue 3, pp. 83-91
DOI: 10.65150/EP-gjetr/V2E3/2026-02
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What is this article about?
This study assessed the land suitability for solar photovoltaic (PV) deployment in Northern Samar using a Geographic Information System (GIS)-based approach integrated with the Analytic Hierarchy Process (AHP). 4%), each comprising several parameters.
Article at a glance
- Published
- 13 March 2026
- Volume / issue / pages
- Vol. 2, Issue 3, pp. 83-91
- ISSN
- 3051-3782 (online) · 3051-3774 (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
This study assessed the land suitability for solar photovoltaic (PV) deployment in Northern Samar using a Geographic Information System (GIS)-based approach integrated with the Analytic Hierarchy Process (AHP). Four major criteria were evaluated: Solar Power Potential (41.3%), Climatology (31.2%), Geographical Factors (20.1%), and Disaster Susceptibility (7.4%), each comprising several parameters. At the parameter level, Global Horizontal Irradiance (GHI) carried the highest weight under Solar Power Potential at 60.8%, followed by Sunshine Duration (39.2%). Under Climatology, Temperature held the greatest weight at 44.9%, followed by Cloud Cover (24.4%), Precipitation (20.6%), and Relative Humidity (10.1%). For Geographical Factors, Land Use dominated with 68.6%, followed by Slope (17.5%) and Elevation (13.9%). Disaster Susceptibility consisted of Flood Susceptibility (69.3%) and Ground Shaking Hazard (30.7%). All consistency ratios (CRs) were below 10%, confirming the logical consistency of the AHP model. Spatial analysis revealed that 60.39% (2077.71 km²) of Northern Samar’s total land area is moderately suitable for solar PV deployment. About 3.92% (134.87 km²) is classified as optimal, 2.77% (95.30 km²) as favorable, 7.42% (255.28 km²) as marginally suitable, and 25.5% (877.32 km²) as unsuitable. The findings show varying solar potential across Northern Samar, providing useful guidance for policymakers and stakeholders in crafting localized solar strategies. While offering a broad view, the study also emphasizes the need for detailed site assessments to support informed investments and maximize renewable energy output.
Keywords: land suitability, solar PV, Geographic Information System (GIS), Analytic Hierarchy Process (AHP)
Cite this article
Elmera S. Doro, & PhD Elvin L. Jarito (2026). Geographic Information System– Analytic Hierarchy Process (GIS- AHP) Framework for Optimal Solar PV Deployment in Northern Samar. Global Journal of Engineering and Technology Research, 2(3), 83-91. https://doi.org/10.65150/EP-gjetr/V2E3/2026-02
@article{Elmera2026,
title = {Geographic Information System– Analytic Hierarchy Process (GIS- AHP) Framework for Optimal Solar PV Deployment in Northern Samar},
author = {Elmera S. Doro and PhD Elvin L. Jarito},
journal = {Global Journal of Engineering and Technology Research},
year = {2026},
volume = {2},
number = {3},
pages = {83-91},
doi = {10.65150/EP-gjetr/V2E3/2026-02},
url = {https://doi.org/10.65150/EP-gjetr/V2E3/2026-02}
}Questions about this article
Who wrote this article?
Elmera S. Doro, PhD Elvin L. Jarito.
Where and when was it published?
In Global Journal of Engineering and Technology Research, Volume 2, Issue 3, pages 83-91, published by EP Journals Group on 13 March 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-gjetr/V2E3/2026-02 (https://doi.org/10.65150/EP-gjetr/V2E3/2026-02).
How do I cite this article?
APA: Elmera S. Doro, & PhD Elvin L. Jarito (2026). Geographic Information System– Analytic Hierarchy Process (GIS- AHP) Framework for Optimal Solar PV Deployment in Northern Samar. Global Journal of Engineering and Technology Research, 2(3), 83-91. https://doi.org/10.65150/EP-gjetr/V2E3/2026-02
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