Fethi Belkhir

Soft-sensor design and dynamic model development for a biomass combustion power plant


Front	Back

ISBN:

978-3-8440-5832-1

Series:

Automatisierungstechnik

Keywords:

biomass; modeling; combustion

Type of publication:

Thesis

Language:

English

Pages:

160 pages

Figures:

61 figures

Weight:

237 g

Format:

21 x 14,8 cm

Bindung:

Paperback

Price:

48,80 € / 61,10 SFr

Published:

March 2018

Buy:

DOI:

10.2370/9783844058321 (Online document)

Download:

Available PDF-Files for this title:

You need the Adobe Reader, to open the files. Here you get help and information, for the download.

These files are not printable.


	Document		Document
	Type		PDF
	Costs		36,60 EUR
	Action		Purchase in obligation and display of file - 4,5 MB (4719541 Byte)
	Action		Purchase in obligation and download of file - 4,5 MB (4719541 Byte)


	Document		Table of contents
	Type		PDF
	Costs		free
	Action		Display of file - 116 kB (118368 Byte)
	Action		Download of file - 116 kB (118368 Byte)

User settings for registered users

You can change your address here or download your paid documents again.

User:	Not logged in.
Actions:	Login / Register Forgotten your password?

Recommendation:

You want to recommend this title?

Review copy:

Here you can order a review copy.

Link:

You want to link this page? Click here.

Export citations:

Text
BibTex
RIS

Abstract:

From a system theory perspective, a biomass power plant is a nonlinear,coupled multivariate system with multiple inputs (fuel feed, air supply, grate speed) and multiple outputs (gas temperature, oxygen concentration, steam generated), where the different process input-output relationships are difficult to understand due to the large disturbances acting on the combustion process, which emanate mainly from the varying calorific value of fuel delivered to the furnace. Hence, any attempt to maintain stable operating conditions and to design or improve the control strategy being employed will lead to suboptimal solutions, which may jeopardize the commercial character of the combustion site. One possible way to handle such a situation is by improving the combustion performance using advanced model-based control strategies for this aim to further ameliorate the economical aspect of the power plant, while adhering to stringent emission standards. These control techniques explicitly incorporate the available process knowledge, which is represented in terms of an available mathematical model, used by the controller to compute the best control actions to fulfill the multiple conflicting goals in the plant. Therefore, mathematical modeling will be carried out to derive a suitable dynamic model of the power plant. The model is extended by designing a soft-sensor which estimates the energy content of fuel mix.