Process heat electrification offers the prospect of deep decarbonization of the chemical and allied industries. Replacing fossil fuel‐fired boilers with electric units can reduce carbon emissions if the power mix has a large share of renewables. For multinational firms with plants in multiple locations, the electrification decisions should be scheduled based on grid carbon intensity projections and should also be coordinated among these subsidiaries. In addition, carbon credits can be traded among the multiple sites to allow lagging plants to reduce their carbon footprints. A novel mathematical model has been developed to optimize process heat electrification plans in multinational corporations. The model determines the optimal timing of electrification at each location, and also the necessary level of carbon trading among subsidiaries. An illustrative case study demonstrates how the model can be used to generate electrification plans that are superior to those based on simple heuristics.

中文翻译：

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锅炉电气化的最佳调度以实现工艺脱碳


工艺热电气化为化工和相关行业提供了深度脱碳的前景。如果电力结构中可再生能源占很大份额，那么用发电机组取代化石燃料锅炉可以减少碳排放。对于在多个地点设有工厂的跨国公司，电气化决策应根据电网碳强度预测进行安排，并且还应在这些子公司之间进行协调。此外，碳信用额度可以在多个地点之间进行交易，以使落后的工厂能够减少碳足迹。已经开发了一种新的数学模型来优化跨国公司的工艺热电气化计划。该模型确定了每个地点电气化的最佳时间，以及子公司之间碳交易的必要水平。一个说明性案例研究演示了如何使用该模型来生成优于基于简单启发式的电气化计划。