Optimization of homogeneous charge compression ignition combustion in a light-duty diesel engine operated using ethyl acetate-gasoline blends

被引:5
|
作者
Kale, Aneesh Vijay [1 ]
Krishnasamy, Anand [1 ,2 ]
机构
[1] Indian Inst Technol Madras, Chennai, Tamil Nadu, India
[2] Indian Inst Technol Madras, IC Engines Lab 201, Chennai 600036, Tamil Nadu, India
关键词
HCCI; ethyl acetate; 2-ethylhexyl nitrate; artificial neural network; genetic algorithm; HYBRID ELECTRIC VEHICLES; HCCI ENGINES; EXHAUST EMISSIONS; NEURAL-NETWORKS; PERFORMANCE; ETHANOL; REACTIVITY; IMPROVERS; ACID;
D O I
10.1177/14680874221138126
中图分类号
O414.1 [热力学];
学科分类号
摘要
The low temperature combustion mode of homogeneous charge compression ignition eliminates particulate matter and oxides of nitrogen (NO x ) emissions trade-off that prevails in high-temperature, diffusion-controlled conventional diesel combustion (CDC). In the present research, the significant challenge of narrow operating load range that hinders the commercial implementation of light-duty HCCI engines was overcome by employing ethyl acetate-gasoline blends. The gasoline concentration in test fuels was reduced in 10% decrements, from 84% to 24%, to replace it with ethyl acetate. The use of ethyl acetate, a renewable fuel, can help solve the energy crisis due to the rapid depletion of fossil fuels. An ignition improver was blended in the test fuels in a predetermined amount of 6% so that combustion stability was not hampered at lower loads. Parametric investigations were conducted to study the effect of progressively increasing ethyl acetate in test fuels on HCCI combustion, performance, and emissions. The machine learning tool of artificial neural network was implemented to learn the behavior of the test engine, considering load and fuel composition as input variables. The feedforward artificial neural network models were developed to predict the start of combustion, combustion phasing, indicated thermal efficiency, and emissions of carbon monoxide, soot, NO x , and unburned hydrocarbon (HC). A multi-objective optimization was performed to arrive at the best operating condition by integrating artificial neural network models with the genetic algorithm. All the developed artificial neural network models could predict responses with acceptable accuracy. The genetic algorithm indicated that the optimum point of the operation was at 80% load and 65% ethyl acetate in the test fuels. Experiments were conducted to validate the optimal HCCI conditions that resulted in 27% higher indicated thermal efficiency, 54% lower HC+NOx, and 99% lower soot emissions than CDC. Overall, the present study demonstrated the benefits of considering ethyl acetate as a fuel to improve HCCI engine metrics of off-road diesel engines.
引用
收藏
页码:3000 / 3016
页数:17
相关论文
共 50 条
  • [31] Improving the Thermal Efficiency of the Homogeneous Charge Compression Ignition Engine by Using Various Combustion Patterns
    Wu, Yuh-Yih
    Wang, James H.
    Mir, Faizan Mushtaq
    ENERGIES, 2018, 11 (11)
  • [32] Support vector machine based emissions modeling using particle swarm optimization for homogeneous charge compression ignition engine
    Gordon, David
    Norouzi, Armin
    Blomeyer, Gero
    Bedei, Julian
    Aliramezani, Masoud
    Andert, Jakob
    Koch, Charles R.
    INTERNATIONAL JOURNAL OF ENGINE RESEARCH, 2023, 24 (02) : 536 - 551
  • [33] Optimization of Compression Ignition Diesel Engine Combustion, Emission, and Performance Characteristics at Higher Blends of Biodiesel Using RSM
    Babji, Alapati
    Rambabu, Govada
    Dhanavath, Balaji Naik
    Cheworei, Levi Ptangunny
    Rao, D. Santha
    PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY, 2024, 8 (02) : 395 - 411
  • [34] Simulating the impact of premixed charge compression ignition on light-duty diesel fuel economy and emissions of particulates and NOx
    Gao, Zhiming
    Daw, C. Stuart
    Wagner, Robert M.
    Edwards, K. Dean
    Smith, David E.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2013, 227 (01) : 31 - 51
  • [35] Optimization of a heavy-duty compression-ignition engine fueled with diesel and gasoline-like fuels
    Shi, Yu
    Reitz, Rolf D.
    FUEL, 2010, 89 (11) : 3416 - 3430
  • [36] Novel strategies to extend the operating load range of a premixed charge compression ignited light-duty diesel engine
    Pradeep, V.
    Anand, K.
    FUEL, 2022, 317
  • [37] Exergy analysis of diesel/biodiesel combustion in a homogenous charge compression ignition (HCCI) engine using three-dimensional model
    Jafarmadar, Samad
    Nemati, Peyman
    RENEWABLE ENERGY, 2016, 99 : 514 - 523
  • [38] Auto-ignition of polyoxymethylene dimethyl ether 3 (PODE3) blended with diesel and gasoline via combustion under homogeneous charge compression ignition
    Lin, Qinjie
    Tay, Kun Lin
    Yang, Wenming
    ENERGY CONVERSION AND MANAGEMENT-X, 2021, 11
  • [39] Improving the combustion process of a homogeneous charge compression ignition engine running with triple fuel blend using response surface methodology
    Ardebili, Seyed Mohammad Safieddin
    Calam, Alper
    Solmaz, Hamit
    Bogrek, Ahmet
    Hasimoglu, Can
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2024, 46 (08)
  • [40] Simulation of biodiesel combustion in a light-duty diesel engine using integrated compact biodiesel-diesel reaction mechanism
    Ng, Hoon Kiat
    Gan, Suyin
    Ng, Jo-Han
    Pang, Kar Mun
    APPLIED ENERGY, 2013, 102 : 1275 - 1287