PIOT‐Hub ‐ A collaborative cloud tool for generation of physical input–output tables using mechanistic engineering models
PIOT‐Hub ‐ A collaborative cloud tool for generation of physical input–output tables using mechanistic engineering models
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PIOT – Hub – 一种协作云工具，用于使用机械工程模型生成物理输入输出表
DOI：
10.1111/jiec.13204
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发表时间：
2022
影响因子：
5.9
通讯作者：
Singh, Shweta
中科院分区：
文献类型：
--
作者：
Vunnava, Venkata Sai;Shin, Jaewoo;Zhao, Lan;Singh, Shweta
绘制经济中的物质流动图对于确定资源管理策略以降低社会的浪费和环境影响至关重要，这是工业生态学研究的一个关键目标。然而，构建在部门层面的物质流动映射模型，例如在高度分解的层面上的物理投入产出表（PIOTs），是繁琐的，并且依赖于大量的经验数据。为了克服这一挑战，本研究开发了一种新型的协作云平台PIOT - Hub。该平台利用基于Python的仿真系统从机械模型中提取物料流数据，从而实现piot的半自动化生成。仿真系统采用自下而上的方法，利用缩放工程模型生成物理供应表（pst）和物理使用表（put），并将其转换为piot（见Vunnava & Singh， 2021）。用户可以在PIOT‐Hub上上传部门的机制模型，为任何地区开发PIOT。模型和生成的PST/PUT/ piot都可以利用协作平台与其他用户共享。PIOT - Hub提供的自动化和共享功能将有助于显著减少开发PIOT所需的时间，并提高PIOT生成的可重复性/连续性，从而允许研究区域经济中物质流动的变化性质。在本文中，我们通过在伊利诺伊州农业部门创建PIOT的演示示例描述了模拟系统MFDES和PIOT - Hub架构/功能。未来的工作包括扩大大规模PIOT生成的云基础设施，并增强不同经济部门的工具兼容性。
Mapping material flows in an economy is crucial to identifying strategies for resource management toward lowering the waste and environmental impacts of society, a key objective of research in industrial ecology. However, constructing models for mapping material flows at a sectoral level, such as in physical input–output tables (PIOTs) at highly disaggregated levels, is tedious and relies on a large amount of empirical data. To overcome this challenge, a novel collaborative cloud platform PIOT‐Hub is developed in this work. This platform utilizes a Python‐based simulation system for extracting material flow data from mechanistic models, thus semi‐automating the generation of PIOTs. The simulation system implements a bottom‐up approach of utilizing scaled engineering models to generate physical supply tables (PSTs) and physical use tables (PUTs) which are converted to PIOTs (described in (Vunnava & Singh, 2021)). Mechanistic models can be uploaded by users for sectors on PIOT‐Hub to develop PIOTs for any region. Both models and resulting PST/PUT/PIOTs can be shared with other users utilizing the collaborative platform. The automation and sharing features provided by PIOT‐Hub will help to significantly reduce the time required to develop PIOT and improve the reproducibility/continuity of PIOT generation, thus allowing the study of the changing nature of material flows in regional economy. In this paper, we describe the simulation system MFDES and PIOT‐Hub architecture/functionality through a demo example for creating PIOT in agro‐based sectors for Illinois. Future work includes scaling up the cloud infrastructure for large scale PIOT generation and enhancing the tool compatibility for different sectors in economy.
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影响因子：
5.9
作者：
Donati, Franco;Niccolson, Sidney;Tukker, Arnold
通讯作者：
Tukker, Arnold
使用虚拟实验室进行灾害分析——以台湾为例
影响因子：
2.5
作者：
Futu Faturay;Ya;E. Dietzenbacher;A. Malik;Arne Geschke;M. Lenzen
通讯作者：
M. Lenzen
平衡供应和使用表的算法
DOI：
10.5089/9781484363966.002.a001
发表时间：
2018
期刊：
Technical Notes and Manuals
影响因子：
--
作者：
Michael Stanger
通讯作者：
Michael Stanger
影响因子：
11.4
作者：
Bruckner, Martin;Wood, Richard;Boerner, Jan
通讯作者：
Boerner, Jan
影响因子：
2.5
作者：
M. Serpell
通讯作者：
M. Serpell