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Title: Integrated controls design optimization

Abstract

A control system (207) for optimizing a chemical looping process of a power plant includes an optimizer (420), an income algorithm (230) and a cost algorithm (225) and a chemical looping process models. The process models are used to predict the process outputs from process input variables. Some of the process in puts and output variables are related to the income of the plant; and some others are related to the cost of the plant operations. The income algorithm (230) provides an income input to the optimizer (420) based on a plurality of input parameters (215) of the power plant. The cost algorithm (225) provides a cost input to the optimizer (420) based on a plurality of output parameters (220) of the power plant. The optimizer (420) determines an optimized operating parameter solution based on at least one of the income input and the cost input, and supplies the optimized operating parameter solution to the power plant.

Inventors:
;
Publication Date:
Research Org.:
ALSTOM Technology Ltd, Baden, CH (Switzerland)
Sponsoring Org.:
USDOE
OSTI Identifier:
1213448
Patent Number(s):
9,122,260
Application Number:
12/394,654
Assignee:
ALSTOM Technology Ltd (Baden, CH) NETL
DOE Contract Number:  
FC26-07NT43095
Resource Type:
Patent
Resource Relation:
Patent File Date: 2009 Feb 27
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Lou, Xinsheng, and Neuschaefer, Carl H. Integrated controls design optimization. United States: N. p., 2015. Web.
Lou, Xinsheng, & Neuschaefer, Carl H. Integrated controls design optimization. United States.
Lou, Xinsheng, and Neuschaefer, Carl H. Tue . "Integrated controls design optimization". United States. https://www.osti.gov/servlets/purl/1213448.
@article{osti_1213448,
title = {Integrated controls design optimization},
author = {Lou, Xinsheng and Neuschaefer, Carl H.},
abstractNote = {A control system (207) for optimizing a chemical looping process of a power plant includes an optimizer (420), an income algorithm (230) and a cost algorithm (225) and a chemical looping process models. The process models are used to predict the process outputs from process input variables. Some of the process in puts and output variables are related to the income of the plant; and some others are related to the cost of the plant operations. The income algorithm (230) provides an income input to the optimizer (420) based on a plurality of input parameters (215) of the power plant. The cost algorithm (225) provides a cost input to the optimizer (420) based on a plurality of output parameters (220) of the power plant. The optimizer (420) determines an optimized operating parameter solution based on at least one of the income input and the cost input, and supplies the optimized operating parameter solution to the power plant.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {9}
}

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Works referenced in this record:

Fuzzy temperature control of industrial refineries furnaces through combined feedforward/feedback multivariable cascade systems
journal, January 2002

  • Abilov, A. G.; Zeybek, Z.; Tuzunalp, O.
  • Chemical Engineering and Processing: Process Intensification, Vol. 41, Issue 1, p. 87-98
  • DOI: 10.1016/S0255-2701(01)00119-2