Home⇛LPU-Laguna Journal of Engineering and Computer Studies⇛vol. 5 no. 3 (2023)

A Proposed Optimum Renewable using Homer Pro Software Simulation and Power System Analysis using Etap at Brgy. Batino, Calapan, Oriental Mindoro

Bernice M. Dimayuga | Aldrin D. Java | Grant Matthew S. Orteza

Discipline: electrical and electronic engineering

 

Abstract:

Limited electrification and rising energy demand remain critical challenges in remote areas of the Philippines, particularly in Oriental Mindoro. This study aims to design and evaluate a wind- solar hybrid renewable energy system for Brgy. Batino, Calapan City, using HOMER Pro software. A simulation-based methodology was employed to assess system feasibility, optimize component configurations, and analyze techno- economic performance under both off-grid and grid-connected scenarios. Input parameters included local meteorological data, load profiles, and component cost assumptions. Results show that thousands of system configurations were generated and evaluated, identifying optimal solutions based on net present cost (NPC), levelized cost of energy (LCOE), and renewable energy fraction. For the on-grid scenario, a photovoltaic (PV)-dominant system emerged as the most cost-effective configuration, achieving a renewable fraction of approximately 64.7% with no unmet load. In contrast, the off-grid configuration favored a hybrid system incorporating PV, wind turbines, battery storage, and a generator, achieving up to 86.3% renewable penetration while maintaining system reliability. Sensitivity analyses further demonstrated that variations in fuel price and wind speed significantly influence system feasibility and cost performance. The findings confirm that hybrid renewable energy systems are technically viable and environmentally sustainable solutions for rural electrification. However, purely PV-based systems may offer greater economic advantages under certain conditions. This study highlights the effectiveness of HOMER Pro as a decision- support tool and provides a scalable framework for renewable energy planning in off-grid and underserved communities.



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