Showing papers in "Journal of Chemical Engineering of Japan in 2020"
TL;DR: In this paper, an adaptive nonlinear model-predictive control approach is presented to reduce NOx emissions of power plant boilers, based on data-driven prediction modeling, a nonlinear optimization model with load and capacity constraints, is proposed for NOx emission minimization.
Abstract: Nitrogen oxide (NOx) emissions are major pollutants of coalred boilers. An adaptive nonlinear model-predictive control approach is presented to reduce NOx emissions of power plant boilers. Firstly, the boiler load and the NOx emissions are dynamically predicted by a di erential evolution-based least-square support vector machine. Subsequently, based on data-driven prediction modeling, a nonlinear optimization model, with load and capacity constraints, is proposed for NOx emission minimization. Finally, a di erential evolution algorithm is used to solve this optimization problem and obtain the optimal control variable settings. Experimental results based on practical data indicate that the proposed approach exhibits a promising performance in the prediction of the boiler load and NOx emissions. Compared with that obtained using the normal control strategy, the proposed approach can reduce NOx emissions by 3.2% and 4.3% under increasing and decreasing loads, respectively.
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TL;DR: In this paper, the co-pyrolysis characteristics and the interaction with a kind of low-rank coal from SunJiaCha mining area (SJC) and coking coal from HuangLing were investigated using thermogravimetric Fourier transform infrared (TG-FTIR) analysis and gas chromatography-mass spectrometry (GC-MS).
Abstract: The co-pyrolysis characteristics and the interaction with a kind of low-rank coal from SunJiaCha mining area (SJC) and coking coal (Chinese pinyin for coking coal is Jiaomei, JM) from HuangLing were investigated using thermogravimetric Fourier transform infrared (TG-FTIR) analysis and gas chromatography-mass spectrometry (GC-MS). The results revealed a signi cant synergistic e ect of the SJC+JM co-pyrolysis process The addition of JM increased the number of colloids and provided the conditions for the interaction reaction among the pyrolysis products. SJC and JM were used as hydrogen donors, the [H] and free radical fragments from pyrolysis facilitated the hydrogenation reaction. In addition, the composition and structure of the gas were changed due to the synergistic e ect, which also substantially decreased the light component in tar substantially.
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TL;DR: Nakai et al. as mentioned in this paper proposed a method to improve the efficiency of nuclear power development by using a nuclear power plant in the first place of the nuclear power station in Japan.
Abstract: Satoshi Nakai1, Nur Indradewi Oktavitri2, Nobuhiro Itamura1, Tetsuji Okuda3, Wataru Nishijima3 and Mitsufumi Matsumoto4 1 Graduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima-shi, Hiroshima 739-8527, Japan 2 Faculty of Science and Technology, Universitas Airlangga, Jl. Mulyorejo, Kampus C Unair, Surabaya, Indonesia 3 Environmental Research Management Center, Hiroshima University, 1-5-3 Kagamiyama, Higashi-Hiroshima-shi, Hiroshima 739-8513, Japan 4 Research & Development Department, Electric Power Development Co., Ltd., Yanagasakimachi 1, Wakamatsu-ku, Kitakyushu-shi, Fukuoka 808-0111, Japan