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Practice Summaries: An Optimization Mathematical Model for Concentrated Solar Power Financing Decisions at Lockheed Martin

机译:实践总结:洛克希德·马丁公司集中太阳能融资决策的优化数学模型

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Concentrated solar power plants are an alternative to natural gas turbine plants in the portfolios of utilities and independent power producers (IPPs). To obtain financing for a new plant, an IPP must rigorously establish plant production guarantees. We developed an optimization model that maximizes annual profits by generating an optimal hour-by-hour production schedule. We use a fast greedy heuristic to solve this mathematical model. This work has enabled Lockheed Martin and its developer partners to be successful in project negotiations with major utility companies, resulting in 725 megawatts of power plants in development and over $5 billion in predicted sales.
机译:在公用事业和独立发电商(IPP)的产品组合中,集中式太阳能发电厂可替代天然气涡轮发电厂。为了获得新工厂的融资,IPP必须严格建立工厂生产担保。我们开发了一个优化模型,该模型通过生成最佳的每小时生产计划来最大化年度利润。我们使用快速贪婪启发法来求解此数学模型。这项工作使洛克希德·马丁公司及其开发合作伙伴能够成功与大型公用事业公司进行项目谈判,从而开发出了725兆瓦的发电厂,预计销售额超过50亿美元。

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