PULPO:一个框架,以有效地整合生命周期库存模型到生命周期产品优化
Fabian Lechtenberg1, Robert Istrate2,3, Victor Tulus3
1Department of Chemical Engineering Universitat Politècnica de Catalunya Barcelona Spain.
Journal of industrial ecology
|December 26, 2024
概括
本研究介绍了PULPO,这是一个用于生命周期产品优化的Python框架. 它整合了详细的生命周期库存数据,以建模整个经济的反循环,使复杂系统能够更好地做出决策.
科学领域:
- 工艺系统工程 工艺系统工程
- 生命周期评估 (LCA) 是一种生命周期评估.
- 可持续的产品设计
背景情况:
- 传统的生命周期优化 (LCO) 通常使用聚合的库存数据,忽略了关键的全经济反循环.
- 现有的框架很难将全面的生命周期库存 (LCI) 数据库和用户定义的库存纳入优化中.
- 评估影响社会经济系统的大规模决策需要考虑技术领域的动态变化.
研究的目的:
- 介绍PULPO (基于Python的用户定义生命周期产品优化) 框架,用于高效地将LCI集成到LCO.
- 为了使在优化中能够考虑前景和后景系统之间的全经济反循环.
- 为了促进复杂系统的评估,包括部门合和潜在的背景数据库.
主要方法:
- 开发了开源的PULPO框架,结合了Brightway2用于LCI数据处理和pyomo用于优化制定.
- 整合了整个LCI数据库和用户库存,作为优化问题的支柱.
- 通过对最佳绿色甲醇生产系统的案例研究来证明这种方法.
主要成果:
- 普尔波成功地集成了详细的LCI数据,使得能够捕获整个经济的反循环.
- 该框架有助于评估与多功能流程和潜在背景数据库的部门合.
- 案例研究显示了设计最佳未来全球绿色甲醇生产系统的潜力.
结论:
- 普尔波为产品生命周期优化提供了一个强大的工具,克服了传统汇总库存方法的局限性.
- 该框架对于评估具有重大社会经济和技术领域影响的大规模决策特别有价值.
- 普尔波 (PULPO) 增强了在LCA和LCO上下文中分析复杂,合系统的实用性.
相关概念视频
01:26Pharmacokinetic Models: Comparison and Selection Criterion
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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
19
00:59Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
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Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
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01:14Model Approaches for Pharmacokinetic Data: Compartment Models
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Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
Two primary types of compartment models are recognized: mammillary and catenary. The more...
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01:14Multicompartment Models: Overview
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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
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01:06Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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02:52Predicting Products: Substitution vs. Elimination
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When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
The following factors can influence the mechanisms competing against each other:
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