An integrated modeling framework for crop and biofuel systems using the DSSAT and GREET models
An integrated modeling framework for crop and biofuel systems using the DSSAT and GREET models
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DOI：
10.1016/j.envsoft.2018.07.004
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发表时间：
2018-10-01
影响因子：
4.9
通讯作者：
Subbiah, Jeyamkondan
中科院分区：
文献类型：
--
作者：
Anderson, Ryan;Keshwani, Deepak;Subbiah, Jeyamkondan
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供应不断增长的人口。虽然已经创建了许多模型来帮助这些系统中的决策，但缺乏能够理解这些系统之间相互联系的健壮的集成模型。本研究开发了一个模型框架，探索玉米和乙醇系统之间的联系，这是两种主要的粮食和能源资源。作物建模工具（DSSAT）和生物燃料生命周期评估工具（GREET）使用面向服务的体系结构编程方法进行连接。开发了一个Python程序来连接这两个模型，并运行场景分析来评估集成系统的环境影响。本文探讨了综合系统中肥料使用和植物种群等决策对温室气体、能源使用和水的环境效应的影响。
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.