Multi-objective optimization of an energy hub using artificial intelligence

• Autores: Konstantinos Kampouropoulos
• Directores de la Tesis: José Luis Romeral Martínez (dir. tes.), Antoni Garcia Espinosa (dir. tes.)
• Lectura: En la Universitat Politècnica de Catalunya (UPC) ( España ) en 2018
• Idioma: español
• Tribunal Calificador de la Tesis: Stergios Gkanatsios (presid.), Juan Antonio Ortega Redondo (secret.), Sofia Samoili (voc.)
• Programa de doctorado: Programa de Doctorado en Ingeniería Eléctrica por la Universidad Politécnica de Catalunya
• Materias:
  • Matemáticas
    • Ciencia de los ordenadores
      • Inteligencia artificial
      • Sistemas de control de producción
  • Ciencias económicas
    • Economía sectorial
      • Energía
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• Resumen

  • The present dissertation is focused on the energy optimization of systems which contain multiple energy carriers. The objective of the research is the development of a methodology and the corresponding software tools, which permit to calculate the optimal energy flow of a multi-carrier system in arder to satisfy its energy demands and minimiza a set of established optimization criteria. The topics that are covered in this research include the description of the mathematical formulation of a multi-carrier energy system based on the energy hub concept, the modelling and prediction algorithms that are used to forecast the energetic needs of the plant, as well as the proposed optimization methodology to obtain the system's optimal operating strategy and its complete state, including transmission and conversion of multiple energy carriers within defined security constraints.

    Digital models and software-basad simulations demonstrate the feasibility of the proposed solution. The testing and validation of the proposal was made under real operating conditions of a car manufacturing plant in the framework of the FP7 European research project EuroEnergest. The findings provided valuable output conclusions of the suitability and usefulness of this methodology to calculate the optimal control of a multi-carrier energy system, as well as the potential energetic, environmental and economic benefits that could be resultad from its application.