An optimal control model for load shifting – With application in the energy management of a colliery

This paper presents an optimal control model for the load shifting problem in energy management and its application in a South African colliery. It is illustrated in the colliery scenario that how the optimal control model can be applied to optimize load shifting and improve energy efficiency throug...

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Bibliographic Details
Published in:Applied energy Vol. 86; no. 7; pp. 1266 - 1273
Main Authors: Middelberg, Arno, Zhang, Jiangfeng, Xia, Xiaohua
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01.08.2009
Elsevier
Series:Applied Energy
Subjects:
Applied sciences
Belt conveyors
Belts
Binary integer programming
Coal mines
Demand Side Management
Dense Media Separation
Economic data
Electric energy
Electric potential
Electricity
Energy
Energy economics
Energy management
Exact sciences and technology
General, economic and professional studies
Load shifting
Load shifting Optimal control Energy management Demand Side Management Time-of-use Dense Media Separation Binary integer programming
Mathematical models
Optimal control
Time-of-use
South Africa
Africa
Optimal control
Load shifting
Time-of-use
Dense Media Separation
Energy management
Binary integer programming
Demand Side Management
Cost minimization
Tariff
Secondary sector
Modeling
Implementation
Case study
Electricity
Coal mine
Energy demand
Coal mining
ISSN:0306-2619, 1872-9118
Online Access:Get full text
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Description
Summary:This paper presents an optimal control model for the load shifting problem in energy management and its application in a South African colliery. It is illustrated in the colliery scenario that how the optimal control model can be applied to optimize load shifting and improve energy efficiency through the control of conveyor belts. The time-of-use electricity tariff is used as an input to the objective function in order to obtain a solution that minimizes electricity costs and thus maximizes load shifting. The case study yields promising results that show the potential of applying this optimal control model to other industrial Demand Side Management initiatives.
Bibliography:ObjectType-Article-1
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ISSN:0306-2619
1872-9118
DOI:10.1016/j.apenergy.2008.09.011