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Dynamic Electricity Pricing – Modeling Manufacturer Response and an Application to Cement Processing

机译:动态电价–建模厂商响应及其在水泥加工中的应用

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Dynamic pricing, also known as real-time pricing, provides electricity users with an economic incentive to adjust electricity use based on changing market conditions. This paper studies the economic implications of real-time pricing mechanisms in a cement manufacturing plant. Production for a representative cement manufacturing plant is modeled using stochastic mathematical programming. The results show that a cement plant can a) reduce electricity costs by shifting electricity load of certain processes to times when electricity prices are lower, and b) profitably reduce electricity use during peak prices through more efficient scheduling of production under real-time pricing compared to fixed pricing. The results suggest that building scheduling flexibility into certain industrial manufacturing processes to reschedule electricity consumption when the electricity prices at their peak may be economical. The results also suggest that shifts in the production schedule of a cement manufacturer that result from real-time pricing may also influence environmental impacts. The modelling framework modeled real-time pricing as a source of risk in this study, which is also applicable to other energy intensive industries. As such, dynamic pricing strategies that include the non-market impacts of electricity generation should be further explored.
机译:动态定价(也称为实时定价)为电力用户提供了经济诱因,使其可以根据不断变化的市场状况调整用电量。本文研究了水泥生产厂中实时定价机制的经济意义。具有代表性的水泥制造厂的生产使用随机数学编程进行建模。结果表明,水泥厂可以a)通过将某些过程的用电负荷转移到电价较低的时间来降低电费,并且b)通过在实时价格下更有效地安排生产,可以在峰值电价期间以有利的方式减少用电固定价格。结果表明,在某些工业制造过程中增加调度灵活性,可以在电价达到峰值时重新安排用电。结果还表明,由实时定价导致的水泥制造商生产计划的变化也可能影响环境。在本研究中,建模框架将实时定价建模为风险来源,这也适用于其他能源密集型行业。因此,应进一步探索包括发电的非市场影响在内的动态定价策略。

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