Simulation of process chains and recycling strategies for carbon based materials using a conventional process simulator

Radgen, Peter; Pedernera, Esteban; Patel, Martin Kumar; Reimert, R.

doi:10.1016/s0098-1354(98)00047-7

Cited by 5 publications

(2 citation statements)

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“…Steady‐state and dynamic PS methods can be used, and PS software helps to model processes and elemental flows in more detail, providing more reliable data for life cycle inventories (LCIs) and MFA. These applications have been recognized since the 1990s (Ayres, 1995; Radgen et al., 1998; Reuter, 1998), but are not widely implemented within current MFA studies. A linkage between MFA and PS software such as ASPEN, CHEMCAD, or HC SIM (e.g., integration of the MFA–LCA software; see Umberto and CHEMCAD [Viere et al., 2014]) could therefore make the physical base of MFA more robust (e.g., including the physical limitations of recycling [Reuter, 2011]).…”

Section: Integrated Mfa In Different Decision‐making Contextsmentioning

confidence: 99%

Quo vadisMFA? Integrated material flow analysis to support material efficiency

Baars

Rajaeifar

Heidrich

2022

J of Industrial Ecology

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Material efficiency (ME) strategies are pursued by governments and companies to reduce environmental emissions, improve supply chain resilience, and enhance cost competitiveness. Material flow analysis (MFA) methods are useful to quantify raw material stocks and flows and assess the potential impacts of ME strategies. Although the popularity of MFA methods is increasing, there are methodological limitations that hinder its use as a decision support tool for prospective assessments. To overcome some of these, MFA is increasingly integrated with other methods from different research fields. This paper categorizes integrated MFA methods by identifying and explaining the methods and their applications. A semi-structured literature review screened a wide range of methods integrated with MFA prospective analysis and evaluated their applications from 158 studies. This showed that integrated MFA can be used to: (1) include economic, social, and environmental layers; (2) improve the technical foundation of MFA by including entropy and exergy analyses and process engineering methods; (3) include economic mechanisms and link the economic system to the material system; and (4) improve the representation of materials in existing methods and models. Our research demonstrates that integrated MFA should be a central method in planning and designing ME strategies for companies and governments. This paper provides an important knowledge base of integrated MFA methods and creates a discussion point on MFA, where the research field is currently at or indeed where it could be heading in the future, that is, "Quo Vadis" MFA.

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Section: Integrated Mfa In Different Decision‐making Contextsmentioning

confidence: 99%

Quo vadisMFA? Integrated material flow analysis to support material efficiency

Baars

Rajaeifar

Heidrich

2022

J of Industrial Ecology

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“…A number of approaches have been reported in the literature that deal with the development of a cluster of industrial processes. A conventional systems engineering approach to modeling clusters, using mass and energy balances for the chain and its subsystems, was introduced by Radgen et al 11 The authors used existing process simulators, with mass and energy balance calculations, to build and analyze chains. It was reported to be a valuable way of modeling and analyzing production networks and chains.…”

Section: Design Spacementioning

confidence: 99%

Methanol-Based Industrial Cluster Design: A Study of Design Options and the Design Process

Herder

Stikkelman

2004

Ind. Eng. Chem. Res.

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We have conducted a study in collaboration with the Port of Rotterdam in which we explored possibilities for developing a methanol-based industrial cluster in that area. The study had two main goals. The first goal was to develop a realistic design of a methanol-based industrial cluster, supported by technical and economic data. For our cluster, we have considered plants and processes from the entire production chain, i.e., various feedstocks for syngas and methanol production through the end use of methanol as chemical building blocks in formaldehyde, for example, or a methanol-based fuel cell industry. The second goal of the study was to bring together various actors in the field of our proposed methanol cluster because the development of a large-scale cluster would only materialize if the actors were involved from the very beginning, allowing them to pose objectives and constraints to the technical design as well as to the organizational and institutional design of the cluster. To that extent, we organized a workshop with many of the actors, as a vehicle to initiate discussions concerning technical and economic issues and to provide input for our quantitative model, which comprised the technical design options of the cluster. The model shows that a methanol-based industrial cluster is attainable. We have involved and activated many of the necessary actors that are needed to realize the cluster in the future.

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