Computational tools and operational research for optimal design of co-generation systems
Fabiano Fernandes Bargos,
Wendell de Queiróz Lamas and
Gabriel Adam Bilato
Renewable and Sustainable Energy Reviews, 2018, vol. 93, issue C, 507-516
Abstract:
Operational research (OR) methods have been successfully applied in many industrial process. The objective of this work is to discuss the application of computational tools and OR to the study and optimisation of industrial co-generation systems. After reviewing the literature a collection of technical data on co-generation systems is made and a complete OR model (objective function and constraints) for the co-generation problems is done. In order to find the optimal solutions for the co-generation systems a computer code that solves the resulting linear programming problem was developed. The first problem presented consists in a work production system, here considered as electrical power, and heat through multi-stage turbines and condenser, respectively. The second one is a simplified system of co-generation, which will be generated electrical power from a turbine in multi-stage and heat by two heat exchangers. Finally, it was possible to note that the computational tools combined with operational research have proven to be effective in solving industrial co-generation problems.
Keywords: Decision-making process; Integer programming; Linear programming; Mixed integer linear programming; Renewable energy (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032118303587
Full text for ScienceDirect subscribers only
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:eee:rensus:v:93:y:2018:i:c:p:507-516
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic
DOI: 10.1016/j.rser.2018.05.022
Access Statistics for this article
Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski
More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().