A MODELING AND OPTIMIZATION APPROACH BASED ON GENETIC ALGORITHMS FOR A HYBRID TRIGENERATION SYSTEM WITH STIRLING ENGINE

Autor/autori: Assis. Eng. Eugen HOPULELE

Rezumat: Aceasta lucrare prezinta abordarea optimizarii unui hub energetic de trigenerare bazata pe algoritmi genentici. O centrala de trigenerare cu motor Stirling este o solutie de perspectiva fiind capabila sa inlocuiasca simultan in case energia electrica din sistem, incalzirea centrala si generarea de apa calda si aer conditionat sau instalatii de refrigerare. Autorii propun un model matematic bazat pe o functie obiectiv compusa din doua componente: functia de energie primara si un termen de eroare (functie de penalizare) egala cu diferenta dintre energia primara calculata prin doua metode independente. Minimizarea functiei obiectiv este realizata apoi pe baza unei scheme care foloseste algoritmi genetici (AG).

Cuvinte cheie: hub de energie, trigenerare, algoritm genetic


Abstract: This paper presents a trigeneration energy hub optimization approach based on genetic algorithms (GAs). A trigeneration plant with Stirling engine is a perpective solution, able to simultaneously replace in houses the electric power supplied from the system, centralized heating and hot water generation and air conditioning or refrigeration air instalations. The authors propose a mathematical model based on a compound objective function with two components: the primary energy function and an error term (a penalty function) equal to the difference between the primary energy computed on two independent ways. The minimization of the objective function is then accomplished based on a GA scheme

Keywords: energy hub, trigeneration, genetic algorithm

 

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