Modeling, optimization, and analysis of a combined heat and power plant with biomass gasification using aspen plus

Abstract

The utilization of renewable energy sources is paramount in the global pursuit of sustainable energy solutions. Biomass, as a renewable and carbon-neutral resource, presents a promising avenue for energy generation. This thesis focuses on the modelling of a Combined Heat and Power (CHP) plant employing biomass gasification as its primary energy conversion process, with a particular focus on optimization with the aid of Aspen Plus® simulation software. The study begins with a comprehensive review of biomass gasification technology, emphasizing its significance in converting biomass into a gaseous fuel known as syngas. This syngas serves as a versatile precursor for power generation and heat production, enabling the integration of CHP systems for enhanced energy efficiency. Subsequently, the modelling framework using Aspen Plus is delineated, explaining the thermodynamic principles and processes involved in the overall plant. The simulation platform facilitates the representation of complex processes within the CHP plant, allowing for detailed analysis and optimization. Through systematic simulation experiments, various parameters influencing plant performance are investigated, including feedstock composition, gasifier operating conditions, and integration schemes for heat and power generation. The impacts of these factors on key performance indicators such as heat and power generation, syngas composition, and efficiencies are rigorously assessed. Furthermore, optimization techniques are applied to maximize the overall efficiency and energy output of the CHP plant. Multi-objective optimization algorithms are employed to achieve a trade-off between conflicting objectives such as minimizing utility consumption and inefficiencies while maximizing heat and power output. The findings from this study contribute to the advancement of biomass-based CHP systems by providing insights into process optimization and performance enhancement. The optimized plant configuration and operating parameters identified through Aspen Plus simulations offer practical guidance for the design and operation of real-world biomass gasification plants. In conclusion, this thesis demonstrates the efficacy of Aspen Plus as a powerful tool for modelling and optimizing biomass-based CHP plants. The integration of biomass gasification with CHP systems holds immense potential for sustainable energy generation, offering a pathway towards mitigating climate change and reducing dependence on fossil fuels. Future research directions may involve experimental validation of the proposed models and further exploration of advanced control strategies for enhanced plant operation.