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Ventilation Optimization in Pulverizing System of Intermediate Storage Bunker Based on GRNN-GA

机译:基于GRNN-GA的中间仓粉碎系统通风优化。

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Giving to the variant working condition and the safe factors, the designed power of eject powder air fan of pulverizing system is always excessive in thermal power plant that brings on house power of thermal power plant on the high side. Searching the best Ventilation is an availability measure to bring down house power. Establishing ventilation mathematical model in pulverizing system of intermediate storage bunker by GRNN and searching optimal working condition by GA, then acquired the optimal adjusting measure of ventilation optimization in pulverizing system. Collecting real time data of a hot 50MW unit scene of power plant and adopting above means acquired the adjusting measure. The adjusting result indicated the method can bring down electricity consumption of ventilation system in effect and improve economic benefit in thermal power plant.
机译:考虑到变工况和安全因素,在火力发电厂中,制粉系统的排粉风机的设计功率总是过大,从而带来了火电厂的自家功率。搜索最佳通风是降低房电的可用性措施。利用GRNN建立了中间储仓制粉系统的通风数学模型,并通过遗传算法寻找最优工况,进而获得了制粉系统​​通风优化的最佳调整措施。收集热电厂50MW机组现场的实时数据,并采用上述手段,获得了调整措施。调整结果表明,该方法可以有效降低通风系统的用电量,提高火电厂的经济效益。

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