Approaching Industrial Symbiosis Through Agent-Based Modeling and System Dynamics

Demartini, Melissa; Tonelli, Flavio; Bertani, Filippo

doi:10.1007/978-3-319-73751-5_13

Cited by 11 publications

(9 citation statements)

References 10 publications

(6 reference statements)

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“…Furthermore, a hybrid system of ABM and SD has been proposed in order to address the unique characteristics of the IS problem [9,13]. As the ABM method is more recent, the SD method is more mature.…”

Section: Paradigms To Industrial Symbiosis Modeling and Simulatingmentioning

confidence: 99%

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An Evaluation of the Industrial Symbiosis Systems Modeling

Guedes

Souza

Borsato

2019

Advances in Transdisciplinary Engineering

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Industrial symbiosis, a concept derived from industrial ecology, emphasizes the collaborative and synergic production among industries. The particular focus is on cyclical flows of resources (material, energy, water, and/or by-products), in order to minimize impacts on the environment. In this way, an industry could reuse the discarded resources of another industry as an input to production. Essentially, the characteristics of the interaction between components of the system define industrial symbiosis as complex and dynamic. Uncertainty, unpredictability, emergency, and adaptability are determining features of this interaction. The development of such an innovative system requires great effort. An important step is to create a representative model of this new reality to support system change. Hence, the present article develops an evaluation of the industrial symbiosis systems modeling. For this purpose, the research adopted a bibliometric and systemic analysis. The results presented in this paper are: (i) an analysis of scientific knowledge about the theme, (ii) the main points discussed and opportunities extracted in the literature, and (iii) the paradigms of industrial symbiosis modeling and simulating. In addition, this work will cooperate as a research base for the development of a new model, which intends to support decision-making processes, during the creation of symbiosis links.

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Section: Paradigms To Industrial Symbiosis Modeling and Simulatingmentioning

confidence: 99%

“…The symbiotic relationship between two or more industries aims to improve the physical exchanges of materials, energy, water, and by-products [7]. The key is to close the materials cycles, using waste from one facility as an alternative input to another facility [8,9].…”

Section: Introductionmentioning

confidence: 99%

An Evaluation of the Industrial Symbiosis Systems Modeling

Guedes

Souza

Borsato

2019

Advances in Transdisciplinary Engineering

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“…It is a deductive or top-down approach for studying the information-feedback characteristics of industrial activity (Sterman 2001). The SD model is applicable in analysing the holistic performance of an EIP and has a low request for data quantity and accuracy (Demartini et al 2018). Nevertheless, it could not reflect the heterogeneity of entities and are unable to assess the evolution of IS between individuals (Romero and Ruiz 2014).…”

Section: Introductionmentioning

confidence: 99%

Agent-based model for simulation of the sustainability revolution in eco-industrial parks

Han

Sun

Jia

et al. 2021

Environ Sci Pollut Res

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Eco-industrial parks (EIPs) are of increasing importance for implementing industrial ecology strategies and are facing increasing challenges in terms of environmental pollution and resource scarcity. As a complex adaptive system, an EIP involves multiple sectors and faces various disturbances that influence its evolutionary trajectories. This study adopts an agent-based model to simulate the material flows and industrial symbiosis process in the EIP, considering the initiative of each company and the ever-changing environment. The proposed EIP model emphasises the heterogeneity of companies and attempts to reflect multiple and dynamic factors that have received less attention in previous studies. This model contains two types of agents, companies and the external environment. A company agent makes decisions and interacts with other agents following its own behaviour rules, while the external environment agent functions to coordinate the material flows and exert influence on the companies. The model has been verified and validated by simulating a 20-year-period development of an empirical EIP in China. The simulation results are assessed by three indicators: eco-connectance, eco-efficiency, and industrial symbiosis indicator. Results showed that during the growing phase, the eco-connectance increased from 0.02 to 0.1 for the non-disturbance situation. The eco-efficiency and industrial symbiosis indicator also realised 78.5% and 74.8% of their total increments. The outcome of this research provides insights for the design of the strategies to improve the industrial symbiosis performance and is of high potential to facilitate EIPs in promoting eco-transformation and sustainable development.

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“…This is particularly useful to carry out analysis ex-ante, even before a given system has been created, aimed at supporting the design phase. Since ISNs have been recognized as complex adaptive systems (Côté and Hall, 1995;Liwarska-Bizukojc et al, 2009), the ABM approach is considered appropriate to analyze the dynamics of symbiotic cooperation among different companies (e.g., Batten, 2009;Cao et al, 2009;Demartini et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Quantifying the direct network effect for online platforms supporting industrial symbiosis: an agent-based simulation study

Fraccascia

2020

Ecological Economics

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This paper explores the direct network effect for online platforms supporting industrial symbiosis (IS), which is a recommended strategy to support the transition towards the circular economy. Through IS, companies can use wastes produced by other companies as inputs to production processes. Online platforms supporting companies in operating IS relationships can play a critical role in developing the IS practice. In this paper, an agent-based model is designed to simulate the emergence of IS relationships among companies located in a given geographical area. Companies can establish relationships traditionally (relying on face-to-face contacts) or by using a platform. Several scenarios, defined by different platform usage rates, are simulated. Results show that there is a minimum platform usage rate allowing companies to benefit from using the platform. If the platform usage rate is lower than this threshold, the platform does not contribute to generate further benefits for companies. When the platform usage rate is higher than the threshold, the individual benefits for users are higher the greater the number of other companies using the platform. Based on these results, implications on how to ensure a win-win approach for companies and platform owners can be provided, as well as implications for policymakers.

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Approaching Industrial Symbiosis Through Agent-Based Modeling and System Dynamics

Cited by 11 publications

References 10 publications

An Evaluation of the Industrial Symbiosis Systems Modeling

An Evaluation of the Industrial Symbiosis Systems Modeling

Agent-based model for simulation of the sustainability revolution in eco-industrial parks

Quantifying the direct network effect for online platforms supporting industrial symbiosis: an agent-based simulation study

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