Enhancing Efficiency and Stability in a Multigenerational Geothermal-Wind Renewable Energy System

This article introduces a novel approach to examining a multigenerational geothermal-wind energy system that integrates geothermal and wind energy sources via the EES simulation platform.The study employs a holistic modeling methodology, which integrates input parameters from multiple sources in order to simulate environmental conditions and subsystems.The energy and exergy efficiencies of every subsystem are accurately calculated, taking into account various energy demands and hourly time-step paradigms.Utilizing the Energy PLAN modeling platform guarantees load stability and satisfies predetermined energy requirements.Primary energy converters include the Kalina cycle and wind turbine, whereas wind power generation and geothermal energy extraction make supplementary contributions to the overall system.The study centers on the improved efficiency of the Kalina cycle and the application of a mixture of ammonia and water for the purpose of harnessing geothermal energy.The findings demonstrate noteworthy network outputs, as well as system sensitivities to fluctuations in wind velocities and thermal and exergy efficiencies.Exergy and energy efficiencies of 72.4 and 51.8 percent, respectively, attest to the multigeneration system's capability of converting input energy into viable labor.The study provides significant contributions to the understanding of how to optimize system parameters and enhance performance across a range of conditions, with a particular focus on the intricate interaction between wind energy and geothermal sources.By integrating real-time performance analysis and considering the impact of wind conditions, the methodology that has been presented lays the groundwork for forthcoming advancements in renewable energy systems.