Comparative Study of Conventional Smart Tools for Modelling and Simulating Pump Storage Hydroelectric Power for Sustainable Energy Supply: A Focus on HOMER Software
DOI:
https://doi.org/10.31181/sa202543Keywords:
Pumped storage hydroelectric power, Hybrid optimization of multiple energy resources software, Energy storage modelling, Hybrid energy systems optimizationAbstract
Effective modelling and simulation tools for pumped storage hydroelectric power (PSHP) systems are becoming more and more necessary as the demand for sustainable energy solutions rises. In order to assess the effectiveness of traditional smart tools for PSHP system optimization, this study evaluates this optimization tools, focusing on HOMER software. The study evaluates the technical, financial, and operational modeling capabilities of several important software programs, such as HOMER, MATLAB, Simulink, Dynamic Simulation (DSim), ANSYS Fluent, and OpenFOAM. HOMER offers a practical option for PSHP projects due to its streamlined interface, integrated optimization methods, and its capacity to simulate hybrid energy systems. Although they demand sophisticated programming abilities, MATLAB and Simulink provide reliable dynamic modeling. While it lacks features for economic optimization, DSim is excellent in transient analysis. Although they are computationally demanding and less accessible for economic feasibility assessments, ANSYS Fluent and OpenFOAM offer comprehensive fluid dynamics simulations. The study shows that HOMER's life-cycle cost analysis, extensive component library, and adaptability in incorporating sources of renewable energy are its greatest strengths. These features support the goals of improving grid stability and guaranteeing affordable energy options. The results highlight HOMER's excellence in striking a balance between economic considerations and technical performance, making it a robust tool for practitioners and researchers in renewable energy optimization and modelling.
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Effective modelling and simulation tools for Pumped Storage Hydroelectric Power (PSHP) systems are becoming more and more necessary as the demand for sustainable energy solutions rises. In order to assess the effectiveness of traditional smart tools for PSHP system optimization, this study evaluates this optimization tools, focusing on Hybrid Optimization of Multiple Energy Resources (HOMER) software. The study evaluates the technical, financial, and operational modeling capabilities of several important software programs, such as HOMER, MATLAB, Simulink, Dynamic Simulation (DSim), ANSYS Fluent, and OpenFOAM. HOMER offers a practical option for PSHP projects due to its streamlined interface, integrated optimization methods, and its capacity to simulate hybrid energy systems. Although they demand sophisticated programming abilities, MATLAB and Simulink provide reliable dynamic modeling. While it lacks features for economic optimization, DSim is excellent in transient analysis. Although they are computationally demanding and less accessible for economic feasibility assessments, ANSYS Fluent and OpenFOAM offer comprehensive fluid dynamics simulations. The study shows that HOMER's life-cycle cost analysis, extensive component library, and adaptability in incorporating sources of renewable energy are its greatest strengths. These features support the goals of improving grid stability and guaranteeing affordable energy options. The results highlight HOMER's excellence in striking a balance between economic considerations and technical performance, making it a robust tool for practitioners and researchers in renewable energy optimization and modelling.
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