The chapter presents software and information complex (SIC) designed for modeling integrated multi-node and autonomous electric and heat Supply systems. Utilizing the versatility of Microsoft Excel paired with the SolverStudio add-in, the SIC enables comprehensive assessment of energy systems’ efficiency, capabilities, and modernization limits. The system comprises service, control, information, and analytical blocks, each facilitating user interaction, data processing, optimization, and intelligent analysis. The user-friendly interface supports the editing, visualization, and execution of optimization models, ensuring optimal selection and operation of energy units according to consumption schedules. Key parameters such as dates and scaling coefficients are easily modifiable, and specific forms allow control parameter adjustments for various energy units. The SIC’s ability to store, process, and visualize data effectively makes it a robust tool for the detailed analysis and comparison of energy system models, with implications for both short-term and long-term energy planning. This work underscores the SIC’s relevance for researchers and professionals examining economic, technological, and climatic impacts on energy systems, with a specific focus on the energy strategy of Ukraine and Pan-European electricity market dynamics.

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Software and Information Complex for Modeling Integrated Multi-node and Autonomous Electric and Heat Supply Systems

  • Artur Zaporozhets,
  • Mykhailo Kulyk,
  • Vitalii Babak,
  • Viktor Denysov

摘要

The chapter presents software and information complex (SIC) designed for modeling integrated multi-node and autonomous electric and heat Supply systems. Utilizing the versatility of Microsoft Excel paired with the SolverStudio add-in, the SIC enables comprehensive assessment of energy systems’ efficiency, capabilities, and modernization limits. The system comprises service, control, information, and analytical blocks, each facilitating user interaction, data processing, optimization, and intelligent analysis. The user-friendly interface supports the editing, visualization, and execution of optimization models, ensuring optimal selection and operation of energy units according to consumption schedules. Key parameters such as dates and scaling coefficients are easily modifiable, and specific forms allow control parameter adjustments for various energy units. The SIC’s ability to store, process, and visualize data effectively makes it a robust tool for the detailed analysis and comparison of energy system models, with implications for both short-term and long-term energy planning. This work underscores the SIC’s relevance for researchers and professionals examining economic, technological, and climatic impacts on energy systems, with a specific focus on the energy strategy of Ukraine and Pan-European electricity market dynamics.