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Prediction of energy mass loss rate for biodiesel fire via machine learning and its physical modeling of flame radiation evolution

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  • Deng, Lei
  • Shi, Congling
  • Li, Haoran
  • Wan, Mei
  • Ren, Fei
  • Hou, Yanan
  • Tang, Fei

Abstract

Biodiesel is an emblematic energy of green power and developing vigorously, which is conducive to an important strategic significance covering the sustainable development of the global economy, the promotion of energy substitution, the reduction of environmental pressure, and the control of atmospheric contamination. In order to study the biodiesel energy burning characteristics, a series of experiments were carried out in an ISO9705 full-scale room, and the effects of pool size on the burning rate, flame height, flame oscillation frequency, and flame radiation fraction of biodiesel energy fire were systematically analyzed. This study uses genetic algorithm-back propagation neural network (GA-BPNN) algorithms for real-time prediction of transient fire mass loss rates. Three parameters (pool size, liquid depth, and burning time) are paired with the fuel mass loss rate and trained using a GA-BPNN algorithms model. The results show that the GA-BPNN algorithms predictions have a good correlation with the validated experimental values and the relative is less than 15%. Furthermore, the ratio of intermittent flame height and continuous flame height to their mean value is calculated respectively at about 1.72 and 0.58. The flame oscillation frequency decreases following the increase in oil pool size, the correlation can be calculated by f=0.3(D/g′)1/2. Finally, a new correlation χrad=0.2Q˙*−2/3 is proposed to predict the flame radiation fraction by increasing the flame viewing factor coefficient. The proposed correlation can be used to describe its evolution under different oil pool sizes, which can be essential to estimate the flame radiation impact on surroundings for such biodiesel energy fires.

Suggested Citation

  • Deng, Lei & Shi, Congling & Li, Haoran & Wan, Mei & Ren, Fei & Hou, Yanan & Tang, Fei, 2023. "Prediction of energy mass loss rate for biodiesel fire via machine learning and its physical modeling of flame radiation evolution," Energy, Elsevier, vol. 275(C).
    • Handle: RePEc:eee:energy:v:275:y:2023:i:c:s036054422300782x
    DOI: 10.1016/j.energy.2023.127388
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    1. Jung, Sungyup & Jung, Jong-Min & Tsang, Yiu Fai & Bhatnagar, Amit & Chen, Wei-Hsin & Lin, Kun-Yi Andrew & Kwon, Eilhann E., 2022. "Biodiesel production from black soldier fly larvae derived from food waste by non-catalytic transesterification," Energy, Elsevier, vol. 238(PA).
    2. Li, Cong & Xu, Zixuan & Wang, Yuqing & Xu, Wenbo & Yang, Rui & Zhang, Hui, 2023. "Investigation of heat and mass transfer characteristics during the flame propagation of biomass straw from an initial linear fire source," Energy, Elsevier, vol. 265(C).
    3. Khanali, Majid & Ghasemi-Mobtaker, Hassan & Varmazyar, Hossein & Mohammadkashi, Naghmeh & Chau, Kwok-wing & Nabavi-Pelesaraei, Ashkan, 2022. "Applying novel eco-exergoenvironmental toxicity index to select the best irrigation system of sunflower production," Energy, Elsevier, vol. 250(C).
    4. Balli, Ozgur & Caliskan, Nesrin & Caliskan, Hakan, 2023. "Aviation, energy, exergy, sustainability, exergoenvironmental and thermoeconomic analyses of a turbojet engine fueled with jet fuel and biofuel used on a pilot trainer aircraft," Energy, Elsevier, vol. 263(PD).
    5. Ng, Wei Zhe & Obon, Aaron Anthony & Lee, Chin Loong & Ong, Yi Hui & Gourich, Wail & Maran, Kireshwen & Tang, Dennis Boon Yong & Song, Cher Pin & Chan, Eng-Seng, 2022. "Techno-economic analysis of enzymatic biodiesel co-produced in palm oil mills from sludge palm oil for improving renewable energy access in rural areas," Energy, Elsevier, vol. 243(C).
    6. Yatish, K.V. & Omkaresh, B.R. & Kattimani, Veeranna R. & Lalithamba, H.S. & Sakar, M. & Balakrishna, R. Geetha, 2023. "Solar energy-assisted reactor for the sustainable biodiesel production from Butea monosperma oil: Optimization, kinetic, thermodynamic and assessment studies," Energy, Elsevier, vol. 263(PB).
    7. Ding, Long & Gong, Changzhi & Ge, Fanliang & Ji, Jie, 2021. "Experimental study on flame radiation characteristic from line pool fires of n-heptane fuel in open space," Energy, Elsevier, vol. 218(C).
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    1. Ge, Shaokun & Zhou, Fubao & Ni, Ya & Guo, Fengqi & Shen, Wangzhaonan & Li, Jia & Shi, Bobo, 2024. "Experimental study and new-proposed characterization of burning rate and flame geometry of gasoline pool fires with different aspect ratios," Energy, Elsevier, vol. 298(C).

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