Elucidating ammonia's impact on non-gray radiation and thermometry during biomass co-firing via spectral guidance
Ammonia co-firing with biomass is a vital strategy for decarbonizing power generation, yet optimizing its efficiency and emissions necessitates accurate flame temperature monitoring. Reliable diagnosis, however, is impeded by strong, phase-dependent non-gray radiation from biomass (volatile vs. char...
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Elsevier
2025-11-01
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| Series: | Fuel Processing Technology |
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| author | Liu Huixin Wang Chunbo Sun Cen Yu Xuewu Zhang Xiaotian |
| author_facet | Liu Huixin Wang Chunbo Sun Cen Yu Xuewu Zhang Xiaotian |
| author_sort | Liu Huixin |
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| description | Ammonia co-firing with biomass is a vital strategy for decarbonizing power generation, yet optimizing its efficiency and emissions necessitates accurate flame temperature monitoring. Reliable diagnosis, however, is impeded by strong, phase-dependent non-gray radiation from biomass (volatile vs. char) and the critically unquantified impact of NH3 on essential spectral radiative properties. This work systematically investigates the influence of NH3 concentration on the spectral emissivity ε(λ) of burning rice husk particles within the visible spectrum (400–700 nm) during distinct volatile and char combustion phases, utilizing simultaneous spectroscopy and RGB pyrometry. The investigation revealed that NH3 significantly lowers ε(λ) for both volatile combustion, where ελ decreases with wavelength (ε(λ) < 0.16), and char combustion, where ελ increases with wavelength (ε(λ) ≈ 0.35–0.75). Consequently, the key emissivity ratio εg/εr (at 530/600 nm) required for RGB pyrometry exhibited opposite behaviors: for volatile combustion, εg/εr > 1 and increased with NH3 concentration, whereas for char combustion, εg/εr < 1 and decreased with NH3 concentration. Building upon these quantitative findings, the developed and validated spectrally-guided RGB pyrometry methodology successfully corrects the substantial temperature overestimation inherent in the gray-body assumption, an error particularly pronounced at higher NH3 concentrations. This work yields both fundamental quantitative data on ammonia's impact on biomass non-gray radiation and a robust spectrally-guided diagnostic method, providing essential data and techniques for enabling accurate modeling, optimization, and control of biomass-ammonia co-firing processes. |
| format | Article |
| id | doaj-art-1cc71b277aee4bb6b4d987e4c824e01d |
| institution | Matheson Library |
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| language | English |
| publishDate | 2025-11-01 |
| publisher | Elsevier |
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| series | Fuel Processing Technology |
| spelling | doaj-art-1cc71b277aee4bb6b4d987e4c824e01d2025-08-01T04:44:19ZengElsevierFuel Processing Technology0378-38202025-11-01277108300Elucidating ammonia's impact on non-gray radiation and thermometry during biomass co-firing via spectral guidanceLiu Huixin0Wang Chunbo1Sun Cen2Yu Xuewu3Zhang Xiaotian4Yanzhao Electric Power Laboratory of North China Electric Power University, North China Electric Power University, Baoding 071003, China; Department of Power Engineering, North China Electric Power University, Baoding 071003, ChinaYanzhao Electric Power Laboratory of North China Electric Power University, North China Electric Power University, Baoding 071003, China; Department of Power Engineering, North China Electric Power University, Baoding 071003, ChinaYanzhao Electric Power Laboratory of North China Electric Power University, North China Electric Power University, Baoding 071003, China; Department of Power Engineering, North China Electric Power University, Baoding 071003, China; Corresponding author at: Department of Power Engineering, North China Electric Power University, Baoding 071003, China.Yanzhao Electric Power Laboratory of North China Electric Power University, North China Electric Power University, Baoding 071003, China; Department of Power Engineering, North China Electric Power University, Baoding 071003, ChinaYanzhao Electric Power Laboratory of North China Electric Power University, North China Electric Power University, Baoding 071003, China; Department of Power Engineering, North China Electric Power University, Baoding 071003, ChinaAmmonia co-firing with biomass is a vital strategy for decarbonizing power generation, yet optimizing its efficiency and emissions necessitates accurate flame temperature monitoring. Reliable diagnosis, however, is impeded by strong, phase-dependent non-gray radiation from biomass (volatile vs. char) and the critically unquantified impact of NH3 on essential spectral radiative properties. This work systematically investigates the influence of NH3 concentration on the spectral emissivity ε(λ) of burning rice husk particles within the visible spectrum (400–700 nm) during distinct volatile and char combustion phases, utilizing simultaneous spectroscopy and RGB pyrometry. The investigation revealed that NH3 significantly lowers ε(λ) for both volatile combustion, where ελ decreases with wavelength (ε(λ) < 0.16), and char combustion, where ελ increases with wavelength (ε(λ) ≈ 0.35–0.75). Consequently, the key emissivity ratio εg/εr (at 530/600 nm) required for RGB pyrometry exhibited opposite behaviors: for volatile combustion, εg/εr > 1 and increased with NH3 concentration, whereas for char combustion, εg/εr < 1 and decreased with NH3 concentration. Building upon these quantitative findings, the developed and validated spectrally-guided RGB pyrometry methodology successfully corrects the substantial temperature overestimation inherent in the gray-body assumption, an error particularly pronounced at higher NH3 concentrations. This work yields both fundamental quantitative data on ammonia's impact on biomass non-gray radiation and a robust spectrally-guided diagnostic method, providing essential data and techniques for enabling accurate modeling, optimization, and control of biomass-ammonia co-firing processes.http://www.sciencedirect.com/science/article/pii/S0378382025001249Ammonia co-firingBiomass combustionEnergy conversionFlame thermometryRGB pyrometrySpectral emissivity |
| spellingShingle | Liu Huixin Wang Chunbo Sun Cen Yu Xuewu Zhang Xiaotian Elucidating ammonia's impact on non-gray radiation and thermometry during biomass co-firing via spectral guidance Fuel Processing Technology Ammonia co-firing Biomass combustion Energy conversion Flame thermometry RGB pyrometry Spectral emissivity |
| title | Elucidating ammonia's impact on non-gray radiation and thermometry during biomass co-firing via spectral guidance |
| title_full | Elucidating ammonia's impact on non-gray radiation and thermometry during biomass co-firing via spectral guidance |
| title_fullStr | Elucidating ammonia's impact on non-gray radiation and thermometry during biomass co-firing via spectral guidance |
| title_full_unstemmed | Elucidating ammonia's impact on non-gray radiation and thermometry during biomass co-firing via spectral guidance |
| title_short | Elucidating ammonia's impact on non-gray radiation and thermometry during biomass co-firing via spectral guidance |
| title_sort | elucidating ammonia s impact on non gray radiation and thermometry during biomass co firing via spectral guidance |
| topic | Ammonia co-firing Biomass combustion Energy conversion Flame thermometry RGB pyrometry Spectral emissivity |
| url | http://www.sciencedirect.com/science/article/pii/S0378382025001249 |
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