Abstract
This paper addresses the application of the Agent-Based Model (ABM) to simulate the evolution of Multiple Input Multiple Output (MIMO) eco-industrial parks to gain insight into their behavior. ABM technique has proven to be an effective tool that can be used to express the evolution of eco-industrial parks. The ABM represents autonomous entities, each with dynamic behavior. The agents within the eco-industrial park are factories, market buyers, and market sellers. The results showed that the Réseau agent-based model allowed the investigation of the behaviors exhibited by different agents in exchange for materials in the industrial park.
Highlights
In the last two decades, attention for Eco-Industrial Park (EIP) development projects has grown enormously among national and regional governments and industries [1]
As the sensitivity analysis carried out in this work showed, agent-based modeling technique is an effective tool that can be used to express the evolution of eco-industrial systems
With this modeling technique we can predict or simulate the price variation or forecast the demand and supply time series, which are difficult to be determined with supply and demand deterministic calculations
Summary
In the last two decades, attention for Eco-Industrial Park (EIP) development projects has grown enormously among national and regional governments and industries [1]. National Industrial Symbiosis Program (NISP) in the UK is an example of numerous industrial ecosystems [2, 4]. The aim of the present work is to apply an agent-based model to simulate the evolution of a Multiple Input Multiple Output (MIMO) EIP. Agents are described in detailed standard protocol [8] for describing individual-based and agent-based models. Due to the short fall in the initially developed model, which only accommodates Single Input Single Output (SISO) agents the model is modified to allow many MIMO agents (in the range of thousands). The simulation of an MIMO EIP system using ABM is the novelty of this work
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