Process Engineering Models to Physical Input-Output Tables (PIOTs): A Novel Approach to Reproducible, Transparent and Fast Regional PIOT Development Via Collaborative PIOTHub

物理输入输出表 (PIOT) 的过程工程模型：通过协作 PIOTHub 实现可重复、透明和快速的区域 PIOT 开发的新方法

• 批准号: 1805741
• 负责人: Shweta Singh
• 金额: $ 29.24万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1805741&HistoricalAwards=false
• 关键词: Process; Engineering; Models; Physical; Input

Only 30% of waste generated in the US was recycled in 2013 and globally only 14% of plastics are recycled today. Realization of the environmental consequences of waste disposal and the economic cost of lost resources has mobilized global efforts to close material loops by recycling and recovery. This system is termed the "Circular Economy". However, to build a robust and resilient circular economy, it is necessary to identify hidden vulnerabilities that can occur due to increased mutual interdependence of sectors in the economy with increasing use of waste as feedstock. To achieve this goal, a full physical map of current industrial interactions must be known, which can be captured by Physical Input-Output Tables (PIOTs) that account for inter-industry interactions in physical units. But, PIOTs are rarely developed, with only very few PIOTs developed across the world since 1990s. This is attributed both to lack of data and a standardized approach for building PIOTs. Thus, the physical structure of existing economy cannot be mapped. The aim of this research is to address this critical missing piece of transitioning to a robust circular economy. The overall goal is to develop and establish a "Process to PIOT (P2P)" approach that integrates process engineering based models with an Input-Output framework for generating PIOTs for a regional economy. Specific tasks of this project are: 1) Establish a new P2P approach for developing PIOTs; 2) Compare PIOTs developed against exisiting Monetary Input-Output Tables (MIOT) for validation; 3) Develop an Open source database of Process Models that can be adapted for developing PIOTs along with an open platform for collaborative PIOT development. This project is targeted to enable transition to a robust circular economy by developing and standardizing a Process to PIOT (P2P) approach that utilizes the strength of process modeling to develop regional PIOTs. Establishing the P2P approach will provide a standardized approach for fast, reproducible and transparent PIOT development in any region of choice. A key feature of the approach is to utilize the strength of process engineering models in a modular approach to build PIOTs, and combining with an interregional trade model for improved accuracy in capturing inter-sectoral flows in a region. This research will provide an open-source collaborative platform for developing PIOTs on a regional scale (PIOTHub) using Purdue's HubZero platform. The collaborative platform will allow multiple researchers to develop PIOTs for many regions and enhance collaboration to solve sustainable resource and consumption challenges. Further, the process engineering approach will allow interested industries to use the platform for making strategic decisions in forming alliances that will be economically and environmentally beneficial without the concern of disclosing proprietary information. This is critical for industry engagement into spurring regional environmental sustainability. Undergraduate and graduate education modules developed as case studies in this project will be disseminated for teaching the concepts of the circular economy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

2013年，在美国产生的废物中只有30％被回收，而全球只有14％的塑料被回收。意识到废物处置的环境后果和资源损失的经济成本动员了通过回收和恢复来关闭材料循环的努力。该系统被称为“循环经济”。但是，为了建立强大而有弹性的循环经济，有必要确定由于越来越多地使用废物作为原料，因此可能发生的隐藏脆弱性可能导致经济中的相互依存关系增加。为了实现这一目标，必须知道当前工业互动的完整物理图，可以通过物理输入表（PIOT）来捕获，这些表（PIOTS）可以说明物理单位中的工业间相互作用。但是，很少开发保健，自1990年代以来，全球只有很少的杂物。这既归因于缺乏数据，又是用于建造杂货的标准化方法。因此，无法映射现有经济的物理结构。这项研究的目的是解决这一关键的丢失过渡到强大的循环经济。总体目标是开发和建立“用于PIOT（P2P）的过程”方法，该方法将基于过程工程的模型与输入输出框架整合在一起，以为区域经济生成PIOTS。该项目的具体任务是：1）建立一种新的P2P开发PIOT的方法； 2）比较开发的PIOT与为验证货币投入输出表（MIOT）的供应； 3）开发一个工艺模型的开源数据库，可以适应开发PIOTS以及开放的PIOT开发平台。该项目的目标是通过开发和标准化PIOT（P2P）方法来过渡到强大的循环经济，该方法利用过程建模的强度来开发区域性的piots。建立P2P方法将为任何选择的地区的快速，可重复和透明的Piot开发提供标准化方法。该方法的一个关键特征是在模块化方法中利用工艺工程模型的强度来构建杂货，并与区域间贸易模型结合使用，以提高准确性，以捕获该地区的部门间流量。这项研究将提供一个开源协作平台，用于使用Purdue的Hubzero平台在区域范围内开发PIOT（PIOTHUB）。该协作平台将允许多个研究人员为许多地区开发保健，并增强协作以解决可持续的资源和消费挑战。此外，工程工程方法将使感兴趣的行业能够使用该平台来制定战略决策，以在经济和环境上有利于经济和环境有益的联盟，而不必担心披露专有信息。这对于行业参与刺激区域环境可持续性至关重要。作为该项目的案例研究而开发的本科和研究生教育模块将被传播，以教授循环经济的概念。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估评估标准的评估值得支持的。

项目成果

A hybrid mechanistic machine learning approach to model industrial network dynamics for sustainable design of emerging carbon capture and utilization technologies

一种混合机械机器学习方法，用于模拟工业网络动态，以实现新兴碳捕获和利用技术的可持续设计

• DOI: 10.1039/d3se01032e
• 发表时间: 2023
• 期刊: Sustainable Energy & Fuels
• 影响因子: 5.6
• 作者: Shekhar, Abhimanyu Raj;Moar, Raghav R.;Singh, Shweta
• 通讯作者: Singh, Shweta

Reduced order dynamical models for complex dynamics in manufacturing and natural systems using machine learning

使用机器学习的制造和自然系统中复杂动力学的降阶动力学模型

• DOI: 10.1007/s11071-022-07695-x
• 发表时间: 2022
• 期刊: Nonlinear Dynamics
• 影响因子: 5.6
• 作者: Farlessyost, William;Singh, Shweta
• 通讯作者: Singh, Shweta

Integrated Mechanistic Engineering Models and Macroeconomic Input-Output approach to Model Physical Economy for Evaluating the Impact of transition to Circular Economy

综合机械工程模型和宏观经济投入产出方法来模拟实体经济，以评估向循环经济转型的影响

• DOI: 10.1039/d1ee00544h
• 发表时间: 2021
• 期刊: Energy & Environmental Science
• 影响因子: 32.5
• 作者: Vunnava, Venkata Sai;Singh, Shweta
• 通讯作者: Singh, Shweta

A study on end of life photovoltaics as a model for developing industrial synergistic networks

• DOI: 10.1007/s13243-022-00111-y
• 发表时间: 2022-04
• 期刊: Journal of Remanufacturing
• 作者: N. Mathur;J. Sutherland;S. Singh

Thematic exploration of sectoral and cross-cutting challenges to circular economy implementation

• DOI: 10.1007/s10098-020-02016-5
• 发表时间: 2021-01-26
• 期刊: CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
• 影响因子: 4.3
• 作者: Singh, Shweta;Babbitt, Callie;Seager, Thomas
• 通讯作者: Seager, Thomas