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Performance and emission analysis of a dual fuel variable compression ratio (VCR) CI engine utilizing producer gas derived from walnut shells

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  • Sharma, Mohit
  • Kaushal, Rajneesh

Abstract

In the present scenario, due to atrocious rise in energy demand interest has been grown in extracting energy from renewable sources such as waste biomass. In this study, preparation of producer gas from walnut shell gasification has been done for the purpose of partially substituting diesel with producer gas for VCR dual fuel (DF) diesel engine working in dual mode. Experiments have been conducted at different brake power and compression ratio for predicting the engine performance and emission characteristics. A comparative result analysis has been done for both diesel and dual mode. The results revealed that maximum fuel saving of 58.18% was achieved in dual mode operation. Brake thermal efficiency (ηbth) attained a maximum value of 25.63 and 21.61% in diesel and dual mode respectively. At brake power of 3.44 kW for diesel mode, NOX emission was 16.09–45.23% more as compared with dual mode. With dual mode CO and hydrocarbon emission were increased in the range of 62.21–72.53% and 83.25–87.60% correspondingly as compared to diesel mode. Further, diesel mode maximum CO2 fraction was 2.13% and 3.41% for dual mode.

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  • Sharma, Mohit & Kaushal, Rajneesh, 2020. "Performance and emission analysis of a dual fuel variable compression ratio (VCR) CI engine utilizing producer gas derived from walnut shells," Energy, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:energy:v:192:y:2020:i:c:s036054421932420x
    DOI: 10.1016/j.energy.2019.116725
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    2. 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).
    3. Alexander N. Kozlov & Nikita V. Tomin & Denis N. Sidorov & Electo E. S. Lora & Victor G. Kurbatsky, 2020. "Optimal Operation Control of PV-Biomass Gasifier-Diesel-Hybrid Systems Using Reinforcement Learning Techniques," Energies, MDPI, vol. 13(10), pages 1-20, May.
    4. 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).
    5. 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).
    6. Prasad, G. Arun & Murugan, P.C. & Wincy, W. Beno & Sekhar, S. Joseph, 2021. "Response Surface Methodology to predict the performance and emission characteristics of gas-diesel engine working on producer gases of non-uniform calorific values," Energy, Elsevier, vol. 234(C).

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