OCP 的去碳化

Dimitris Bertsimas, Ryan Cory-Wright, Vassilis Digalakis
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引用次数: 0

摘要

问题定义:我们介绍了与世界上最大的磷酸盐和磷酸盐基产品生产商之一 OCP 集团的合作,以支持一项旨在大幅减少 OCP 碳排放的绿色倡议。我们研究的问题是,通过安装太阳能电池板和电池的混合物,使 OCP 的电力供应去碳化,从而最大限度地降低其时间贴现投资成本,以及通过摩洛哥国家电网满足其剩余需求的成本。OCP 目前正在利用我们从优化模型中获得的见解设计其可再生能源投资战略,并承诺在 2027 年前投资 1300 亿摩洛哥迪拉姆(约合 130 亿美元)用于绿色计划,其中一部分涉及去碳化。方法/结果:我们通过稳健优化和分布稳健优化相结合的方法,使模型免受预测与实际太阳能发电量之间偏差的影响。为了考虑每日太阳能发电量的变化,我们提出了一种数据驱动的稳健优化方法,通过对不确定性集进行平均,防止过度保守。为了防止气候变化引起的季节性天气模式的变化,我们采用了分布稳健优化技术。在 OCP 投资 100 亿马其顿第纳尔(约 10 亿美元)的情况下,所建议的方法可将 OCP 能源需求产生的碳排放量减少 70% 以上,同时在 20 年规划期内产生 50 亿马其顿第纳尔的净现值 (NPV)。此外,200 亿马币的投资可减少 95% 的碳排放量,并产生约 20 亿马币的净现值。管理意义:为了履行巴黎气候协议,以财政可持续的方式快速实现全球经济的去碳化势在必行。因此,本研究开发了一种稳健的优化方法,使 OCP 能够通过购买太阳能电池板和电池来实现去碳化,并从中获利。此外,该方法还可应用于其他工业消费者的去碳化。事实上,我们的方法表明,去碳化的盈利能力取决于太阳能容量系数、能源价格和借贷成本:本论文已作为 2023 年制造业& 服务业运营管理实践研究竞赛的一部分被接受:电子附录可在 https://doi.org/10.1287/msom.2022.0467 上获取。
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Decarbonizing OCP
Problem definition: We present our collaboration with the OCP Group, one of the world’s largest producers of phosphate and phosphate-based products, in support of a green initiative designed to reduce OCP’s carbon emissions significantly. We study the problem of decarbonizing OCP’s electricity supply by installing a mixture of solar panels and batteries to minimize its time-discounted investment cost, plus the cost of satisfying its remaining demand via the Moroccan national grid. OCP is currently designing its renewable investment strategy, using insights gleaned from our optimization model, and has pledged to invest 130 billion Moroccan dirham (MAD) (approximately 13 billion U.S. dollars (USD)) in a green initiative by 2027, a subset of which involves decarbonization. Methodology/results: We immunize our model against deviations between forecast and realized solar generation output via a combination of robust and distributionally robust optimization. To account for variability in daily solar generation, we propose a data-driven robust optimization approach that prevents excessive conservatism by averaging across uncertainty sets. To protect against variability in seasonal weather patterns induced by climate change, we invoke distributionally robust optimization techniques. Under a 10 billion MAD (approximately 1 billion USD) investment by OCP, the proposed methodology reduces the carbon emissions that arise from OCP’s energy needs by more than 70%, while generating a net present value (NPV) of 5 billion MAD over a 20-year planning horizon. Moreover, a 20 billion MAD investment induces a 95% reduction in carbon emissions and generates an NPV of around 2 billion MAD. Managerial implications: To fulfill the Paris climate agreement, rapidly decarbonizing the global economy in a financially sustainable fashion is imperative. Accordingly, this work develops a robust optimization methodology that enables OCP to decarbonize at a profit by purchasing solar panels and batteries. Moreover, the methodology could be applied to decarbonize other industrial consumers. Indeed, our approach suggests that decarbonization’s profitability depends on solar capacity factors, energy prices, and borrowing costs.History: This paper has been accepted as part of the 2023 Manufacturing & Service Operations Management Practice-Based Research Competition.Supplemental Material: The e-companion is available at https://doi.org/10.1287/msom.2022.0467 .
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