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Electrostatic precipitation for NOx emission control in small-scale combustion: A predictive approach and experimental validation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27650%2F25%3A10257542" target="_blank" >RIV/61989100:27650/25:10257542 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1383586625016582#bi005" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1383586625016582#bi005</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.seppur.2025.133061" target="_blank" >10.1016/j.seppur.2025.133061</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Electrostatic precipitation for NOx emission control in small-scale combustion: A predictive approach and experimental validation

  • Original language description

    Electrostatic precipitators (ESPs) applied to small-scale combustion systems are effective in reducing Particulate Matter (PM) emissions but also can reduce NOx. However, the absence of a practical predictive model has hindered the widespread adoption of ESPs for this purpose. This study addresses that gap by developing and experimentally validating a simplified mathematical model to predict NOx removal efficiency in ESPs operating with both positive and negative corona discharges. The model captures the unique plasma chemistry of DC corona—specifically the spatially non-uniform generation of active species and the key chemical kinetics that drive NOx conversion. To validate the model, an ESP was integrated with a 5-kW pellet stove and tested under varying operational regimes. Under standard conditions (0 °C and 101.3 kPa), NOx concentrations were reduced from 200 mg/m3 to 44 mg/m3 using positive polarity and to 46 mg/m3 using negative polarity, achieving an overall removal efficiency of 78 % in both cases. However, the specific input energy for positive corona (35.7 J/L) was lower than that for negative corona (48.4 J/L). With prediction accuracies within 10 % of the experimental measurements, the model demonstrates robust reliability for practical engineering. This research advances efficient, cost-effective NOx control techniques in ESPs, and has the potential to promote the reduction of global pollution.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20700 - Environmental engineering

Result continuities

  • Project

    <a href="/en/project/SS02030031" target="_blank" >SS02030031: Air quality Research, Assessment and Monitoring Integrated System</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Separation and Purification Technology

  • ISSN

    1383-5866

  • e-ISSN

    1873-3794

  • Volume of the periodical

    368

  • Issue of the periodical within the volume

    17 September 2025

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    13

  • Pages from-to

    1-13

  • UT code for WoS article

    001475783200001

  • EID of the result in the Scopus database