This paper deals with the optimization of energy resources management of industrial districts, with the aim of minimizing the customer energy bill. Taking into account real time information on energy needs and production and on energy market prices, a cost function is built that should be minimized. Here we focus on the solution of the arising nonlinear constrained optimization problem. We describe the two solvers that have been employed for its solution: a Sequential Linear Programming and a Particle Swarm Optimization

Numerical methods for optimization problems arising in energetic districts / Bellavia Stefania; Riccietti Elisa; Sello Stefano. - STAMPA. - 26:(2017), pp. 0-0. (Intervento presentato al convegno 19th European Conference on Mathematics for Industry, ECMI2016).

Numerical methods for optimization problems arising in energetic districts

BELLAVIA, STEFANIA;RICCIETTI, ELISA;
2017

Abstract

This paper deals with the optimization of energy resources management of industrial districts, with the aim of minimizing the customer energy bill. Taking into account real time information on energy needs and production and on energy market prices, a cost function is built that should be minimized. Here we focus on the solution of the arising nonlinear constrained optimization problem. We describe the two solvers that have been employed for its solution: a Sequential Linear Programming and a Particle Swarm Optimization
2017
Progress in Industrial Mathematics at ECMI 2016
19th European Conference on Mathematics for Industry, ECMI2016
Bellavia Stefania; Riccietti Elisa; Sello Stefano
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1070894
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact