Locating a bioenergy facility using a hybrid optimization method

Rentizelas, Athanasios A. and Tatsiopoulos, Ilias P. (2010) Locating a bioenergy facility using a hybrid optimization method. International Journal of Production Economics, 123 (1). pp. 196-209. ISSN 0925-5273

[img]
Preview
 PDF
PROECO_facility_publisher_version_pdf.pdf
Final Published Version
Download (572kB)| Preview

    Abstract

    In this paper, the optimum location of a bioenergy generation facility for district energy applications is sought. A bioenergy facility usually belongs to a wider system, therefore a holistic approach is adopted to define the location that optimizes the system-wide operational and investment costs. A hybrid optimization method is employed to overcome the limitations posed by the complexity of the optimization problem. The efficiency of the hybrid method is compared to a stochastic (genetic algorithms) and an exact optimization method (Sequential Quadratic Programming). The results confirm that the hybrid optimization method proposed is the most efficient for the specific problem. (C) 2009 Elsevier B.V. All rights reserved.

    Creators(s): Rentizelas, Athanasios A. ORCID logoORCID: https://orcid.org/0000-0002-5110-2467 and Tatsiopoulos, Ilias P.;
    Item type:Article
    ID code:44927
    Keywords:hybrid optimization, genetic algorithms, bioenergy facility, supply chain, optimization methods, facility location, biomass logistics, heuristic methods, Engineering design, Management Science and Operations Research, Renewable Energy, Sustainability and the Environment
    Subjects:Technology > Engineering (General). Civil engineering (General) > Engineering design
    Department:Faculty of Engineering > Design, Manufacture and Engineering Management
    Depositing user: Pure Administrator
    Date deposited:19 Sep 2013 11:22
    Last modified:12 Feb 2021 04:35
    URI:https://strathprints.strath.ac.uk/id/eprint/44927
    Export data:
    CORE (COnnecting REpositories)