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It is evident that the combustion efficiency obtained by the space–time fusion method is increased in comparison with the mean value method.
In addition, the flue gas heat loss obtained by the space–time fusion method is also reduced in comparison with the mean value method.
The difference in combustion efficiency between the space–time fusion method and the mean value method is plotted in Fig. 16.
Fig. 16 shows that the hourly average combustion efficiency obtained using the space–time fusion method is improved by 0.0887% compared with that from the mean value method, i.e.,the average heat loss obtained using the space–time fusion method is also reduced by 0.0887%.
If the calorific value of standard coal is set to be 29 307 kJ/kg with the cost of796 per ton, the annual savings of standard coal
would be about 398 580 tons per generation unit, which is equivalent to 301 330 according to the cost saving model given in [28].
V. CONCLUSION
The cloud modeling fusion method has been adopted in the fusing calculation to obtain the data from multiple oxygen
analyzers without any prior knowledge about the oxygen content.
The oxygen space fusion and space–time models based on cloud modeling have been established to achieve more accurate measurement of the oxygen content. The method has been used to determine the combustion efficiency of the boiler and the heat loss of the flue gas.
On-plant demonstration results have shown that the hourly combustion efficiency has been improved by 0.0887% using the space–time fusion technique compared with that obtained by the mean value method, which could result in the annual savings of standard coal of ～398 580tons.
The improved measurement of the oxygen content in the flue gas has led to the increased combustion efficiency and reduced heat loss.

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1樓 2014-05-17 21:16:02

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reko34

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【答案】應(yīng)助回帖

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RXMCDM: 金幣+1 2014-05-19 13:50:08
wanghaiju: 金幣+36, 翻譯EPI+1 2014-05-26 11:51:22

空間-時(shí)間融合法得到的燃燒效率明顯高于平均值法。
此外，空間-時(shí)間融合法得到的廢氣熱損失也小于平均值法。
空間-時(shí)間融合法和平均值法的燃燒效率差別見圖16。
圖16顯示，空間-時(shí)間融合法得到的小時(shí)平均燃燒效率與平均值法相比改進(jìn)了0.0887%，即空間-時(shí)間融合法的平均熱損失減少了0.0887%。
如果標(biāo)準(zhǔn)煤的生熱率設(shè)定為29 307kJ/kg，價(jià)格為每噸796，每年節(jié)省標(biāo)準(zhǔn)煤約每個(gè)生成單元398 580噸，與[28]給出的成本節(jié)省模型的301 330一致。
V.結(jié)論
云建模融合法應(yīng)用于在對氧含量沒有任何預(yù)先知識(shí)的前提下對多個(gè)氧分析裝置取得的數(shù)據(jù)進(jìn)行的融合計(jì)算。
基于云建模的氧空間融合與空間-時(shí)間模型取得更準(zhǔn)確的氧含量測量結(jié)果。該方法被用于確定鍋爐的燃燒效率和廢氣熱損失。
工廠示范結(jié)果顯示，使用空間-時(shí)間融合技術(shù)的小時(shí)燃燒效率與平均值法相比改進(jìn)了0.0887%，實(shí)現(xiàn)年節(jié)省標(biāo)準(zhǔn)煤～398 580噸。
改進(jìn)的廢氣氧含量測量提升了燃燒效率，減少了熱損失。

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2樓2014-05-19 13:30:45

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