Response Surface Methodology to predict the performance and emission characteristics of gas-diesel engine working on producer gases of non-uniform calorific values
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DOI: 10.1016/j.energy.2021.121225
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- Yang, Zhaoming & Liu, Zhe & Zhou, Jing & Song, Chaofan & Xiang, Qi & He, Qian & Hu, Jingjing & Faber, Michael H. & Zio, Enrico & Li, Zhenlin & Su, Huai & Zhang, Jinjun, 2023. "A graph neural network (GNN) method for assigning gas calorific values to natural gas pipeline networks," Energy, Elsevier, vol. 278(C).
- Percy, A. Jemila & Edwin, M., 2023. "Studies on the performance and emission characteristics of a dual fuel VCR engine using producer gas as secondary fuel: An optimization approach using response surface methodology," Energy, Elsevier, vol. 263(PA).
- Alruqi, Mansoor & Sharma, Prabhakar & Ağbulut, Ümit, 2023. "Investigations on biomass gasification derived producer gas and algal biodiesel to power a dual-fuel engines: Application of neural networks optimized with Bayesian approach and K-cross fold," Energy, Elsevier, vol. 282(C).
- Raj, Reetu & Tirkey, Jeewan Vachan & Jena, Priyaranjan & Prajapati, Lawalesh Kumar, 2024. "Comparative analysis of Gasifier-CI engine performance and emissions characteristics using diesel with producer gas derived from coal– briquette-coconut shell-mahua feedstock and its blends," Energy, Elsevier, vol. 293(C).
- Sharma, Prabhakar & Bora, Bhaskor J., 2023. "Modeling and optimization of a CI engine running on producer gas fortified with oxyhydrogen," Energy, Elsevier, vol. 270(C).
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Keywords
Producer gas; Dual-fuel; Engine performance; Response surface methodology; Emission;All these keywords.
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