Mathematical Model and Software for Multiple Location of Co-Generation Energy Plants: A Case Study in Southern Regions of Chile

Juan A. Gomez, Juan Pablo Concha and Bruno Neumann

International Journal of Sciences, 2013, vol. 2, issue 03, 93-104

Abstract: This paper addresses the issue of locating and determining the area of supply of various cogeneration energy plants, based on forest biomass. Two models are proposed, binary and mixed programming, depending on whether or not to allow the intersection between supply areas. Each model computes the ideal places to install biomass plants and their respective supply areas of raw material, since the latter are handled implicitly by the decision variables. We also propose two solution strategies depending on the size of the problem: Branch and cut algorithm for problems of medium size and heuristics associated with a genetic algorithm for large problems. We also develop software that automates the construction of the appropriate model, based on information provided by the user, delivering the optimal locations together with supply areas for the number and type of plants desired.

Keywords: Cogeneration energy; Biomass forestry; Multiple Location; Mixed and Binary Programming; Genetic Algorithm (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.ijsciences.com/pub/article/161 (text/html)
https://www.ijsciences.com/pub/pdf/V2-201303-24.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:adm:journl:v:2:y:2013:i:3:p:93-104

Ordering information: This journal article can be ordered from
https://www.ijsciences.com/payment_guide.php

Access Statistics for this article

More articles in International Journal of Sciences from Office ijSciences Alkhaer Publications Manchester M8 8XG England.
Bibliographic data for series maintained by Staff ijSciences ().