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Optimizing operation parameters of a spark-ignition engine fueled with biogas-hydrogen blend integrated into biomass-solar hybrid renewable energy system

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Listed:
  • Bui, Van Ga
  • Tu Bui, Thi Minh
  • Ong, Hwai Chyuan
  • Nižetić, Sandro
  • Bui, Van Hung
  • Xuan Nguyen, Thi Thanh
  • Atabani, A.E.
  • Štěpanec, Libor
  • Phu Pham, Le Hoang
  • Hoang, Anh Tuan

Abstract

The smart control of the biogas-hydrogen engine is needed to improve the overall energy efficiency of the hybrid renewable energy system. The paper presents some simulation results of the optimal control parameters of the engine aiming to achieve the compromise between performance and pollutant emissions of the biogas-hydrogen engine. In neat biogas fueling mode, the optimal equivalence ratio changes from 1.05 to 1.01 as the CH4 composition in biogas increases from 60% to 80%. By adding 20% hydrogen into biogas, the optimal equivalence ratio practically reaches the stoichiometric value, despite the variation of CH4 concentration. At the same operating condition and hydrogen content, an increase of 10% CH4 in biogas leads to a decrease of 2°CA in the optimal advanced ignition angle. However, at a given engine speed and biogas composition, the optimal advanced ignition angle decreased by 3°CA when adding 10% hydrogen into biogas. The optimal ignition angle is independent of the load regime. Under optimal operating conditions, the addition of 20% hydrogen content into biogas is found to improve the indicated engine cycle work by 6%, to reduce CO and HC emissions by 5–10 times; however, it increases NOx emission by 10–15% compared to neat biogas fueling mode.

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  • Bui, Van Ga & Tu Bui, Thi Minh & Ong, Hwai Chyuan & Nižetić, Sandro & Bui, Van Hung & Xuan Nguyen, Thi Thanh & Atabani, A.E. & Štěpanec, Libor & Phu Pham, Le Hoang & Hoang, Anh Tuan, 2022. "Optimizing operation parameters of a spark-ignition engine fueled with biogas-hydrogen blend integrated into biomass-solar hybrid renewable energy system," Energy, Elsevier, vol. 252(C).
  • Handle: RePEc:eee:energy:v:252:y:2022:i:c:s0360544222009550
    DOI: 10.1016/j.energy.2022.124052
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    2. Mingguang Zhang & Shuai Yu & Hongyi Li, 2023. "Inter-Zone Optimal Scheduling of Rural Wind–Biomass-Hydrogen Integrated Energy System," Energies, MDPI, vol. 16(17), pages 1-15, August.
    3. Wang, Huaiyu & Ji, Changwei & Yang, Jinxin & Wang, Shuofeng & Ge, Yunshan, 2022. "Towards a comprehensive optimization of the intake characteristics for side ported Wankel rotary engines by coupling machine learning with genetic algorithm," Energy, Elsevier, vol. 261(PB).
    4. Takele Ferede Agajie & Armand Fopah-Lele & Isaac Amoussou & Ahmed Ali & Baseem Khan & Om Prakash Mahela & Ramakrishna S. S. Nuvvula & Divine Khan Ngwashi & Emmanuel Soriano Flores & Emmanuel Tanyi, 2023. "Techno-Economic Analysis and Optimization of Hybrid Renewable Energy System with Energy Storage under Two Operational Modes," Sustainability, MDPI, vol. 15(15), pages 1-31, July.

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