Day-ahead economic optimization of energy use in an olive mill

被引：11

作者：

Baez-Gonzalez, Pablo ^{[1
]}

del Real, Alejandro J. ^{[1
,2
]}

Ridao Carlini, Miguel A. ^{[1
]}

Bordons, Carlos ^{[1
]}

机构：

[1] Univ Seville, Escuela Tecn Super Ingenieros, Dept Ingn Sistemas & Automat, Camino Descubrimientos S-N, Seville 41092, Spain

[2] Idener, Earle Ovington 8, Seville 41300, Spain

来源：

CONTROL ENGINEERING PRACTICE | 2016年 / 54卷

关键词：

EMPC; Smart manufacturing; Optimal power dispatch; Load shaping; Biogas; VOOEP; MODEL-PREDICTIVE CONTROL; STRATEGIES; DISPATCH; MPC;

D O I：

10.1016/j.conengprac.2016.05.019

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article presents an economic case study on biomass and power dispatch focused on the olive oil extraction industry. A method is proposed to minimize the energy cost associated to olive oil production. This is realized through load shaping and optimal selection of the destination of subproducts and wastes. The mill and the loads linked to the extraction process are modeled using the energy hub concept, and an Economic Model Predictive Control (EMPC) based power and biomass dispatcher is introduced. The control strategy has been simulated over different scenarios to validate the optimization scheme. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：91 / 103

页数：13

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