A short-term scheduling for the optimal operation of biorefineries

A short-term scheduling for the optimal operation of biorefineries

This work presents an analysis of the inherent potentialities and characteristics of the sugarcane industries that produce sugar, bioethanol, biogas and bioelectricity and that are being described as “Biorefineries”. These Biorefineries are capable of producing bio-energy under diverse forms, intend...

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Bibliographic Details
Published in:Energy conversion and management Vol. 52; no. 1; pp. 447 - 456
Main Authors: Grisi, E.F., Yusta, J.M., Khodr, H.M.
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 2011
Elsevier
Subjects:
Applied sciences
bioelectricity
bioethanol
biogas
Biorefineries
biorefining
case studies
Economic data
Economics
Energy
energy conversion
Energy economics
Energy management
Exact sciences and technology
General, economic and professional studies
Industrial engineering
linear programming
Manufacturing engineering
Marketing
Mathematical models
Methodology. Modelling
Natural energy
Optimization
prices
Production costs
Refining
sales
Scheduling
simulation models
sugar industry
sugarcane bagasse
Sugarcane industry
sugarcane trash
sugars
Biorefineries
Sugarcane industry
Scheduling
Energy management
Optimization
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Summary:This work presents an analysis of the inherent potentialities and characteristics of the sugarcane industries that produce sugar, bioethanol, biogas and bioelectricity and that are being described as “Biorefineries”. These Biorefineries are capable of producing bio-energy under diverse forms, intended for their own internal consumption and for external sales and marketing. A complex model and simulation are carried out of the processes of a sugarcane industry, with the data characteristic as well as the production costs, prices of products and considerations on the energy demand by basic processes. A Mixed-Integer Linear Programming (MILP) optimization problem formulation and an analysis of optimal solutions in short-term operation are described, taking into account the production cost functions of each commodity and the incomes obtained from selling electricity and other products. The objective is to maximize the hourly plant economic profit in the different scenarios considered in a real case study.
Bibliography:http://dx.doi.org/10.1016/j.enconman.2010.07.020
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2010.07.020