As global demand for food, energy, and water resources continues to increase, decision-makers in these sectors must find sustainable ways to produce and provide for the growing population. While many models have been created to aid in decision-making in these systems, there is a lack of robust integrated models that enable an understanding of the interconnections of these systems. This study develops a modeling framework that explores the connections of the corn and ethanol systems, two major food and energy resources. A crop modeling tool (DSSAT) and a biofuel life cycle assessment tool (GREET) are connected using a service-oriented architecture programming approach. A Python program is developed to connect these two models and run scenario analyses to assess environmental impacts of the integrated system. This paper explores the impact of decisions such as fertilizer use and plant population on environmental effects of greenhouse gases, energy use, and water in the integrated system.

随着全球对粮食，能源和水资源的需求不断增加，这些部门的决策者必须找到可持续的方式来生产和提供不断增长的人口。尽管已经创建了许多模型来辅助这些系统中的决策，但是仍然缺乏能够理解这些系统的互连性的强大的集成模型。这项研究开发了一个建模框架，该框架探索了玉米和乙醇系统（两种主要的食品和能源）之间的联系。使用面向服务的体系结构编程方法将作物建模工具（DSSAT）和生物燃料生命周期评估工具（GREET）连接起来。开发了一个Python程序来连接这两个模型，并运行方案分析以评估集成系统对环境的影响。