Thermodynamical Material Networks for Modeling, Planning, and Control of Circular Material Flows
Not on the map. Why?
Abstract (arXiv)
Waste production, carbon dioxide atmospheric accumulation, and dependence on finite natural resources are expressions of the unsustainability of the current industrial networks that supply fuels, energy, and manufacturing products. In particular, circular manufacturing supply chains and carbon control networks are urgently needed. To model and design these and, in general, any material networks, we propose to generalize the approach used for traditional networks such as water and thermal power systems by using compartmental dynamical thermodynamics and graph theory. The key idea is that the thermodynamic compartments and their connections can be added, removed or modified as needed to achieve a circular material flow. The design methodology is explained and its application is illustrated through examples. In addition, we provide a physics-based definition of circularity and, by implementing a nonlinear compartmental control, we strengthen the connection between "Industry 4.0" and "Sustainability". The paper source code is publicly available.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Nov 2021.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 1; 2024: 1; 2025: 2.
4 papers.
- 2024Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Materials in Circular Healthcarecited by 1
- 2025Circular Microalgae-Based Carbon Control for Net Zerocited by 1
- 2023Visual Material Characteristics Learning for Circular Healthcarecited by 0
- 2025CiRL: Open-Source Environments for Reinforcement Learning in Circular Economy and Net Zerocited by 0
- 2025CiRL: Open-Source Environments for Reinforcement Learning in Circular Economy and Net Zero24 May 2025
- 2025Circular Microalgae-Based Carbon Control for Net Zero4 Feb 2025
- 2024Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Materials in Circular Healthcare10 May 2024
- 2023Visual Material Characteristics Learning for Circular Healthcare9 Sep 2023