Model based NOx emission monitoring in natural gas fired hot water boilers

Timo Korpela, Pekka Kumpulainen, Yrjö Majanne, Anna Häyrinen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    16 Citations (Scopus)

    Abstract

    Due to new emission regulations, coverage of monitoring requirements extends to new boiler classes. In Europe, Industrial Emission Directive brings new 15-50 MW boilers under the directive in special cases, so inexpensive NOx emission monitoring tools are appreciated. This paper presents models to estimate NOx emission in two similar natural gas fired municipal hot water boilers. The models utilize online process measurements also available in relatively simple set-ups. In the context, the performance of linear regression model and nonlinear neural network model are introduced. Despite the similarity, the results state that the examined boilers behave differently in terms of linearity and emission levels. Therefore, every boiler should be identified separately to exploit the simplest models in practical installations.
    Original languageEnglish
    Title of host publication9th IFAC Symposium on Control of Power and Energy Systems CPES 2015 — New Delhi, India, 9—11 December 2015
    Pages385-390
    DOIs
    Publication statusPublished - 11 Dec 2015
    Publication typeA4 Article in conference proceedings
    EventIFAC Symposium on Control of Power and Energy Systems - , United Kingdom
    Duration: 1 Jan 2000 → …

    Publication series

    NameIFAC-PapersOnLine
    PublisherElsevier
    Number30
    Volume48
    ISSN (Print)2405-8963

    Conference

    ConferenceIFAC Symposium on Control of Power and Energy Systems
    Country/TerritoryUnited Kingdom
    Period1/01/00 → …

    Publication forum classification

    • Publication forum level 1

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