Optimization Algorithms for Urban Energy Balance: The Application of Thermodynamic Methods in Low-Carbon Ecological City Design.

As the severity of global climate change and the energy crisis intensifies, constructing sustainable urban energy systems has become a focal point of global attention. The optimization of urban energy balance is a crucial step in achieving low-carbon ecological city design. Its objectives are to reduce energy consumption and carbon emissions while ensuring the stability and economy of urban energy supply. This paper focuses on the application of thermodynamic methods in the design of low-carbon ecological cities, aiming to enhance the efficiency and sustainability of urban energy systems through optimization algorithms. Current research is concentrated on exploring efficient management of urban energy flows, yet faces challenges in computational efficiency and model adaptability concerning thermodynamic system modeling and energy allocation strategy optimization. This study first establishes an urban energy system model based on comprehensive thermodynamic principles, considering the diversity and complexity of urban energy consumption. Subsequently, it proposes an optimization algorithm based on multi-energy flow balance to improve urban energy allocation strategies. This algorithm optimizes for system dynamics and non-linearity issues, and enhances computational efficiency for processing large-scale data. The findings of this paper not only provide new theoretical perspectives and computational tools for optimizing urban energy balance but also offer scientific decision-making support for practical low-carbon ecological city planning and management, demonstrating significant theoretical innovation and practical application value. [ABSTRACT FROM AUTHOR]