IDEAS home Printed from https://ideas.repec.org/r/eee/energy/v35y2010i1p65-69.html
   My bibliography  Save this item

Application of artificial neural networks for the prediction of performance and exhaust emissions in SI engine using ethanol- gasoline blends

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Deng, Banglin & Fu, Jianqin & Zhang, Daming & Yang, Jing & Feng, Renhua & Liu, Jingping & Li, Ke & Liu, Xiaoqiang, 2013. "The heat release analysis of bio-butanol/gasoline blends on a high speed SI (spark ignition) engine," Energy, Elsevier, vol. 60(C), pages 230-241.
  2. Rashidi, M.M. & Galanis, N. & Nazari, F. & Basiri Parsa, A. & Shamekhi, L., 2011. "Parametric analysis and optimization of regenerative Clausius and organic Rankine cycles with two feedwater heaters using artificial bees colony and artificial neural network," Energy, Elsevier, vol. 36(9), pages 5728-5740.
  3. Safieddin Ardebili, M. & Ghobadian, B. & Najafi, G. & Chegeni, A., 2011. "Biodiesel production potential from edible oil seeds in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3041-3044, August.
  4. Bendu, Harisankar & Deepak, B.B.V.L. & Murugan, S., 2017. "Multi-objective optimization of ethanol fuelled HCCI engine performance using hybrid GRNN–PSO," Applied Energy, Elsevier, vol. 187(C), pages 601-611.
  5. Yap, Wai Kean & Karri, Vishy, 2011. "ANN virtual sensors for emissions prediction and control," Applied Energy, Elsevier, vol. 88(12), pages 4505-4516.
  6. Han, Dandan & E, Jiaqiang & Deng, Yuanwang & Chen, Jingwei & Leng, Erwei & Liao, Gaoliang & Zhao, Xiaohuan & Feng, Changling & Zhang, Feng, 2021. "A review of studies using hydrocarbon adsorption material for reducing hydrocarbon emissions from cold start of gasoline engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
  7. Liu, Jinlong & Huang, Qiao & Ulishney, Christopher & Dumitrescu, Cosmin E., 2021. "Machine learning assisted prediction of exhaust gas temperature of a heavy-duty natural gas spark ignition engine," Applied Energy, Elsevier, vol. 300(C).
  8. Mousapour, Ashkan & Hajipour, Alireza & Rashidi, Mohammad Mehdi & Freidoonimehr, Navid, 2016. "Performance evaluation of an irreversible Miller cycle comparing FTT (finite-time thermodynamics) analysis and ANN (artificial neural network) prediction," Energy, Elsevier, vol. 94(C), pages 100-109.
  9. Ozsezen, Ahmet Necati & Canakci, Mustafa, 2011. "Performance and combustion characteristics of alcohol–gasoline blends at wide-open throttle," Energy, Elsevier, vol. 36(5), pages 2747-2752.
  10. An, Ning & Zhao, Weigang & Wang, Jianzhou & Shang, Duo & Zhao, Erdong, 2013. "Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting," Energy, Elsevier, vol. 49(C), pages 279-288.
  11. Tavakolpour-Saleh, A.R. & Jokar, H., 2016. "Neural network-based control of an intelligent solar Stirling pump," Energy, Elsevier, vol. 94(C), pages 508-523.
  12. Wei, Zhongbao & Li, Xiaolu & Xu, Lijun & Cheng, Yanting, 2013. "Comparative study of computational intelligence approaches for NOx reduction of coal-fired boiler," Energy, Elsevier, vol. 55(C), pages 683-692.
  13. Song Hu & Stefano d’Ambrosio & Roberto Finesso & Andrea Manelli & Mario Rocco Marzano & Antonio Mittica & Loris Ventura & Hechun Wang & Yinyan Wang, 2019. "Comparison of Physics-Based, Semi-Empirical and Neural Network-Based Models for Model-Based Combustion Control in a 3.0 L Diesel Engine," Energies, MDPI, vol. 12(18), pages 1-41, September.
  14. Taghizadeh-Alisaraei, Ahmad & Motevali, Ali & Ghobadian, Barat, 2019. "Ethanol production from date wastes: Adapted technologies, challenges, and global potential," Renewable Energy, Elsevier, vol. 143(C), pages 1094-1110.
  15. Awad, Omar I. & Mamat, R. & Ibrahim, Thamir K. & Hammid, Ali Thaeer & Yusri, I.M. & Hamidi, Mohd Adnin & Humada, Ali M. & Yusop, A.F., 2018. "Overview of the oxygenated fuels in spark ignition engine: Environmental and performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 394-408.
  16. Adewole, Bamiji Z. & Abidakun, Olatunde A. & Asere, Abraham A., 2013. "Artificial neural network prediction of exhaust emissions and flame temperature in LPG (liquefied petroleum gas) fueled low swirl burner," Energy, Elsevier, vol. 61(C), pages 606-611.
  17. Taghavifar, Hadi & Khalilarya, Shahram & Jafarmadar, Samad, 2014. "Diesel engine spray characteristics prediction with hybridized artificial neural network optimized by genetic algorithm," Energy, Elsevier, vol. 71(C), pages 656-664.
  18. Hosseini, Seyyed Hassan & Taghizadeh-Alisaraei, Ahmad & Ghobadian, Barat & Abbaszadeh-Mayvan, Ahmad, 2020. "Artificial neural network modeling of performance, emission, and vibration of a CI engine using alumina nano-catalyst added to diesel-biodiesel blends," Renewable Energy, Elsevier, vol. 149(C), pages 951-961.
  19. Çay, Yusuf & Korkmaz, Ibrahim & Çiçek, Adem & Kara, Fuat, 2013. "Prediction of engine performance and exhaust emissions for gasoline and methanol using artificial neural network," Energy, Elsevier, vol. 50(C), pages 177-186.
  20. Rashidi, M.M. & Ali, M. & Freidoonimehr, N. & Nazari, F., 2013. "Parametric analysis and optimization of entropy generation in unsteady MHD flow over a stretching rotating disk using artificial neural network and particle swarm optimization algorithm," Energy, Elsevier, vol. 55(C), pages 497-510.
  21. Zhu, Lifeng & Qian, Yong & Wang, Xiaole & Lu, Xingcai, 2015. "Effects of direct injection timing and premixed ratio on combustion and emissions characteristics of RCCI (Reactivity Controlled Compression Ignition) with N-heptane/gasoline-like fuels," Energy, Elsevier, vol. 93(P1), pages 383-392.
  22. Qian, Yong & Wang, Xiaole & Zhu, Lifeng & Lu, Xingcai, 2015. "Experimental studies on combustion and emissions of RCCI (reactivity controlled compression ignition) with gasoline/n-heptane and ethanol/n-heptane as fuels," Energy, Elsevier, vol. 88(C), pages 584-594.
  23. Yap, Wai Kean & Karri, Vishy, 2015. "An off-grid hybrid PV/diesel model as a planning and design tool, incorporating dynamic and ANN modelling techniques," Renewable Energy, Elsevier, vol. 78(C), pages 42-50.
  24. Mohamed Ismail, Harun & Ng, Hoon Kiat & Queck, Cheen Wei & Gan, Suyin, 2012. "Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends," Applied Energy, Elsevier, vol. 92(C), pages 769-777.
  25. Ganesan, P. & Rajakarunakaran, S. & Thirugnanasambandam, M. & Devaraj, D., 2015. "Artificial neural network model to predict the diesel electric generator performance and exhaust emissions," Energy, Elsevier, vol. 83(C), pages 115-124.
  26. Awad, Omar I. & Mamat, R. & Ali, Obed M. & Sidik, N.A.C. & Yusaf, T. & Kadirgama, K. & Kettner, Maurice, 2018. "Alcohol and ether as alternative fuels in spark ignition engine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2586-2605.
  27. Masum, B.M. & Masjuki, H.H. & Kalam, M.A. & Rizwanul Fattah, I.M. & Palash, S.M. & Abedin, M.J., 2013. "Effect of ethanol–gasoline blend on NOx emission in SI engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 209-222.
  28. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Yousefi, Marziye & Movahedi, Mehran, 2013. "Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks," Energy, Elsevier, vol. 52(C), pages 333-338.
  29. Subrata Bhowmik & Rajsekhar Panua & Subrata K Ghosh & Abhishek Paul & Durbadal Debroy, 2018. "Prediction of performance and exhaust emissions of diesel engine fuelled with adulterated diesel: An artificial neural network assisted fuzzy-based topology optimization," Energy & Environment, , vol. 29(8), pages 1413-1437, December.
  30. Thangavelu, Saravana Kannan & Ahmed, Abu Saleh & Ani, Farid Nasir, 2016. "Review on bioethanol as alternative fuel for spark ignition engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 820-835.
  31. Domínguez-Sáez, Aida & Rattá, Giuseppe A. & Barrios, Carmen C., 2018. "Prediction of exhaust emission in transient conditions of a diesel engine fueled with animal fat using Artificial Neural Network and Symbolic Regression," Energy, Elsevier, vol. 149(C), pages 675-683.
  32. Manieniyan, V. & Vinodhini, G. & Senthilkumar, R. & Sivaprakasam, S., 2016. "Wear element analysis using neural networks of a DI diesel engine using biodiesel with exhaust gas recirculation," Energy, Elsevier, vol. 114(C), pages 603-612.
  33. Kshirsagar, Charudatta M. & Anand, Ramanathan, 2017. "Artificial neural network applied forecast on a parametric study of Calophyllum inophyllum methyl ester-diesel engine out responses," Applied Energy, Elsevier, vol. 189(C), pages 555-567.
  34. Thakur, Amit Kumar & Kaviti, Ajay Kumar & Mehra, Roopesh & Mer, K.K.S., 2017. "Progress in performance analysis of ethanol-gasoline blends on SI engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 324-340.
  35. Yusaf, T.F. & Yousif, B.F. & Elawad, M.M., 2011. "Crude palm oil fuel for diesel-engines: Experimental and ANN simulation approaches," Energy, Elsevier, vol. 36(8), pages 4871-4878.
  36. Rossi, Francesco & Velázquez, David, 2015. "A methodology for energy savings verification in industry with application for a CHP (combined heat and power) plant," Energy, Elsevier, vol. 89(C), pages 528-544.
  37. Hosseini, Seyed Ehsan & Andwari, Amin Mahmoudzadeh & Wahid, Mazlan Abdul & Bagheri, Ghobad, 2013. "A review on green energy potentials in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 533-545.
  38. Yan, Xiaodong & Nie, Fuquan & Cui, Huasheng & Feng, Huihua & Jia, Boru & Zuo, Zhengxing & Wang, Yahui, 2024. "Research on the impacts of operating frequency at combustion process for opposed single-cylinder free piston generator under direct injection," Energy, Elsevier, vol. 299(C).
  39. Yuce, Bahadir Erman & Oral, Faruk, 2024. "Multi objective optimization of emission and performance characteristics in a spark ignition engine with a novel hydrogen generator," Energy, Elsevier, vol. 289(C).
  40. Mikulandrić, Robert & Lončar, Dražen & Cvetinović, Dejan & Spiridon, Gabriel, 2013. "Improvement of existing coal fired thermal power plants performance by control systems modifications," Energy, Elsevier, vol. 57(C), pages 55-65.
  41. Bahri, Bahram & Shahbakhti, Mahdi & Kannan, Kaushik & Aziz, Azhar Abdul, 2016. "Identification of ringing operation for low temperature combustion engines," Applied Energy, Elsevier, vol. 171(C), pages 142-152.
  42. Hooshang, M. & Askari Moghadam, R. & Alizadeh Nia, S. & Masouleh, M. Tale, 2015. "Optimization of Stirling engine design parameters using neural networks," Renewable Energy, Elsevier, vol. 74(C), pages 855-866.
  43. Farzad Jaliliantabar & Barat Ghobadian & Gholamhassan Najafi & Talal Yusaf, 2018. "Artificial Neural Network Modeling and Sensitivity Analysis of Performance and Emissions in a Compression Ignition Engine Using Biodiesel Fuel," Energies, MDPI, vol. 11(9), pages 1-24, September.
  44. Cai, Yuan & Wang, Jian-zhou & Tang, Yun & Yang, Yu-chen, 2011. "An efficient approach for electric load forecasting using distributed ART (adaptive resonance theory) & HS-ARTMAP (Hyper-spherical ARTMAP network) neural network," Energy, Elsevier, vol. 36(2), pages 1340-1350.
  45. Dey, Suman & Reang, Narath Moni & Majumder, Arindam & Deb, Madhujit & Das, Pankaj Kumar, 2020. "A hybrid ANN-Fuzzy approach for optimization of engine operating parameters of a CI engine fueled with diesel-palm biodiesel-ethanol blend," Energy, Elsevier, vol. 202(C).
  46. Behdad Shadidi & Hossein Haji Agha Alizade & Gholamhassan Najafi, 2021. "The Influence of Diesel–Ethanol Fuel Blends on Performance Parameters and Exhaust Emissions: Experimental Investigation and Multi-Objective Optimization of a Diesel Engine," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
  47. Mohammed I. Jahirul & Richard J. Brown & Wijitha Senadeera & Ian M. O'Hara & Zoran D. Ristovski, 2013. "The Use of Artificial Neural Networks for Identifying Sustainable Biodiesel Feedstocks," Energies, MDPI, vol. 6(8), pages 1-43, July.
  48. Mehra, Roopesh Kumar & Duan, Hao & Luo, Sijie & Rao, Anas & Ma, Fanhua, 2018. "Experimental and artificial neural network (ANN) study of hydrogen enriched compressed natural gas (HCNG) engine under various ignition timings and excess air ratios," Applied Energy, Elsevier, vol. 228(C), pages 736-754.
  49. Dhahad, Hayder Abed & Hasan, Ahmed Mudheher & Chaichan, Miqdam Tariq & Kazem, Hussein A., 2022. "Prognostic of diesel engine emissions and performance based on an intelligent technique for nanoparticle additives," Energy, Elsevier, vol. 238(PB).
  50. Ahmadi, Mohammad H. & Ahmadi, Mohammad Ali & Sadatsakkak, Seyed Abbas & Feidt, Michel, 2015. "Connectionist intelligent model estimates output power and torque of stirling engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 871-883.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.