Sequential linear programming and particle swarm optimization for the optimization of energy districts. Issue 1 (2nd January 2019)

• Record Type: Journal Article
• Authors: Riccietti, Elisa; Bellavia, Stefania; Sello, Stefano
• Is Part Of: Engineering optimization. Volume 51:Issue 1(2019)
• Page Start: 84
• Page End: 100
• Publication Date: 2019-01-02
• Subjects: Nonlinear optimization problems -- sequential linear programming -- particle swarm optimization -- energy districts -- penalty functions; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2018.1440291
• Languages: English
• ISSNs: 0305-215X

Abstract

Abstract: This article deals with the optimization of energy resource management of industrial districts, with the aim of minimizing customer energy expenses. A model of the district is employed, whose optimization gives rise to a nonlinear constrained optimization problem. Here the focus is on its numerical solution. Two different methods are considered: a sequential linear programming method and a particle swarm optimization method. Efficient implementations of both approaches are devised and the results of the tests performed on several energetic districts are reported, including a real case study.