Global primary and secondary resources are important for economic growth. Resource management and environment conservation are currently frequently discussed topics worldwide. In this study, a discrete optimization model formulation is presented for an integrated energy, water, and food (EWF) supply chain problem. The optimization model examines the temporal and spatial integration of the EWF supply chain elements to provide optimal infrastructure capacity expansion of essential commodities within the EWF system, and their corresponding periodic optimal supply for a given region. Furthermore, the model considers endogenous demand between the EWF elements that reflect the interdependency of nexus elements. A mixed integer linear programming model is developed to assist in the process of optimal infrastructure capacity expansion and operation of the EWF system. A case study is given to show the application of the proposed mathematical programming model. Several scenarios are assumed for the case study under different commodity prices and climate change conditions. In addition, diversification in the energy and agriculture sectors is examined by shifting from international refined sugar trading to bioethanol production. The results show economic gains of ~10% under the emergence of bioethanol production compared with the business‐as‐usual scenario. Production dynamic exits for the production of refined sugar, bioethanol, and power from sugarcane and bagasse resources over time in the considered sale price range for the refined sugar and bioethanol products.

中文翻译：

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使用数学程序设计方法进行能源-水-食品关系的可持续管理和设计

全球主要和次要资源对经济增长很重要。资源管理和环境保护是当前世界范围内经常讨论的话题。在这项研究中，提出了一种针对能源，水和食物（EWF）集成供应链问题的离散优化模型公式。优化模型检查EWF供应链要素的时间和空间整合，以提供EWF系统内基本商品的最佳基础设施容量扩展，以及给定区域的相应周期性最佳供应。此外，该模型考虑了EWF要素之间的内在需求，这些需求反映了联系要素之间的相互依赖性。开发了一个混合整数线性规划模型，以协助优化基础设施容量扩展和EWF系统的运行。案例研究表明了所提出的数学规划模型的应用。假设在不同商品价格和气候变化条件下进行案例研究有几种方案。此外，通过从国际精制糖贸易转向生物乙醇生产，考察了能源和农业领域的多样化。结果表明，与常规情况相比，生物乙醇生产的出现带来了约10％的经济收益。动态生产出口，用于精制糖，生物乙醇，