STREAM:工业部门的技术规划和产能扩展模型

IF 2.4 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING
David Thierry , Sarang Supekar , Jeffrey A. Bennett , Joe Cresko
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引用次数: 0

摘要

战略技术路线图和能源、环境和经济分析模型流是一种基于优化的建模工具和分析框架,有助于工业部门的战略规划和技术投资。这个开源框架是用Julia编写的,使用JuMP包,它使用户能够对现有和未来的生产技术、成本、燃料和能源载体、能源和非能源环境影响的未来“路径”进行建模,因为它们在追求强大和有竞争力的制造业的过程中进行了转型。该模型从工厂一级的工业生产技术和资产的初始库存开始,然后根据需求、市场份额、环境流量和其他外部指定的操作考虑因素(如产能利用率或区域能源成本)的一系列可能约束,确定成本最小化的途径。该框架的主要特性包括灵活地在不同粒度级别上对各种行业和工业技术/过程进行建模,执行参数敏感性分析的能力,以及使用可视化对象对模型结果进行可视化的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
STREAM: A technology planning and capacity expansion model for the industrial sector
The Strategic Technology Roadmapping and Energy, Environmental, and Economic Analysis Model—STREAM—is an optimization-based modeling tool and analysis framework to assist with strategic planning and technology investments of the industrial sector. This open-source framework is written in Julia using the JuMP package, which enables users to model future “pathways” for incumbent and future production technologies, costs, fuels and energy carriers, and energy and non-energy environmental impacts from industries as they transform in pursuit of a robust and competitive manufacturing sector. The model starts with an initial stock of industrial production technologies and assets at a facility level and then determines pathways that minimize cost, subject to an array of possible constraints on demand, market shares, environmental flows, and other exogenously specified operational considerations such as capacity utilization rates or regional energy costs. Key features of the framework include flexibility to model a wide range of industries and industrial technologies/processes at varying levels of granularity, ability to perform parametric sensitivity analyses, and ability to visualize model results using visualization objects.
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来源期刊
SoftwareX
SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.50
自引率
2.90%
发文量
184
审稿时长
9 weeks
期刊介绍: SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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