Techno economic analysis of PV pumping system for rural village in East Java

• Published in: e-Prime 2024-12, Vol.10, p.100779, Article 100779
• Main Authors: Aripriharta, Putri, Dila Amelia, Wibawa, Aji Prasetya, Sujito, Bagaskoro, Muhammad Cahyo, Omar, Saodah
• Format: Article
• Language: English
• Subjects: Hybrid photovoltaic system; QHBM; Rural village irrigation; Techno-economic analysis; Water pumping system
• ISSN: 2772-6711; 2772-6711
• DOI: 10.1016/j.prime.2024.100779

•Hybrid solar power plant is a combination of 2 or more different energy sources to produce electrical energy, for example with conventional energy and wind energy.•Solar irrigation pump is a pump used to irrigate rice fields with energy sources from PV and can be combined with battery and grid energy sources.•Techno-economics is a method to assess the feasibility of investments, technologies, and processes by integrating technical and economic factors.•The assessment of technical factors includes design, energy capacity that will be available, and the ratio of renewable energy that can be consumed.•The assessment of economic factors includes COE ($), payback period PP (years), return on investment ROI (%), break even point BEP (years), net present value NPV ($). Renewable energy systems offer a sustainable alternative for addressing energy needs, especially in rural settings. This study investigates the optimization of a hybrid photovoltaic (PV) pumping system by minimizing the Cost of Energy (COE), maximizing the Renewable Fraction (RF), and reducing Carbon Dioxide Emissions (ECO₂). The optimization process was carried out using Python to implement the Queen Honeybee Migration (QHBM) algorithm, which evaluated three distinct scenarios to determine the most efficient system configuration. The optimal setup comprised 48 units of 600 Wp PV panels, 17 units of 250 Ah batteries, and 3 units of 8,000 W inverters. This configuration achieved a COE of $0.041 per kWh, an RF of 43.96 %, and an ECO₂ reduction of 118.49 kgCO₂e, with a cumulative objective value of -146.76. A comparative analysis with the Particle Swarm Optimization (PSO) algorithm indicated that QHBM excels in optimizing RF and ECO₂, whereas PSO demonstrates marginally superior performance in reducing COE. The economic evaluation reveals a Net Present Value (NPV) of $40,206.11 over a 35-year period, a Return on Investment (ROI) of 398 %, a Break-Even Point (BEP) of 6.45 years, and a Payback Period (PP) of 13.25 years. The system is projected to yield daily and annual cost savings of $6.33 and $2,310.90, respectively. These results underscore the efficacy of QHBM in achieving superior techno-economic and environmental performance in hybrid PV pumping systems.