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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU143304" target="_blank" >RIV/00216305:26210/21:PU143304 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s11356-021-17503-5" target="_blank" >https://link.springer.com/article/10.1007/s11356-021-17503-5</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11356-021-17503-5" target="_blank" >10.1007/s11356-021-17503-5</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20704 - Energy and fuels

Result continuities

  • Project

    <a href="/en/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Sustainable Process Integration Laboratory (SPIL)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

  • ISSN

    0944-1344

  • e-ISSN

    1614-7499

  • Volume of the periodical

    16

  • Issue of the periodical within the volume

    29

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    12

  • Pages from-to

    23117-23128

  • UT code for WoS article

    000720706400010

  • EID of the result in the Scopus database

    2-s2.0-85120552510