Welcome to SHAREBOX Training tool!!
With the interactive material available in this section you will be able to get:
- A solid understanding of the concept of Industrial Symbiosis, including economic benefits and cross-sectoral opportunities.
- Knowledge about SHAREBOX and its functionalities that support identification and evaluation of synergy opportunities and the process of creating synergies.
- Tips to handle the SHAREBOX software in an effective way.
Agent Based Modelling
Agent-based modeling (ABM) is a methodology allowing to study complex systems consisting of autonomous decision-making entities. Each entity is modeled as an independent agent, which is provided with a set of goals it has to accomplish through the interaction with other agents and a set of rules of interaction.
The ABM approach is used to represent the individual stakeholders, their roles and interests in the IS design, and to simulate the business interactions among them, aimed at generating a generally acceptable (set of) solution(s) on how to implement the IS practice (e.g., which IS relationships to implement, how to share economic benefits arising from the cooperation, with which specific partners to cooperate), incorporated in a decision-support tool.
The Energy Tool allows users of SHAREBOX to establish and rank options for the recovery and use of energy bearing waste such as hot flu gases. It provides a list of compatible conversion or reuse technologies with likely performance and costs and indicates the appropriate scale of installations thereby facilitating collaboration between users with similar waste streams and hence the potential to trade.
The Energy Tool also allows users to analyse and establish optimum solutions for a region, that could take the form of an industrial park, based on the range of waste energy streams available within it. As such it will identify and quantify viable options for investment in energy conversion technologies for advanced SHAREBOX users such as Park Managers or Energy Service Companies
This paradigm of Artificial Intelligence aims to solve complex problems by reusing the accumulated experience in a concrete domain. This approach solves new problems in a domain reusing the previous solution given in the past to similar problems in the same domain (analogical reasoning). Thus, the solved problems constitute the “knowledge” about the domain. As more experienced is the system better performance achieves, because the experiences (cases or solved problems) are stored in the Case Base. This way the system is continuously learning to solve new problems.
This approach is known as Case-Based Reasoning (CBR). It is based on the theory of dynamic memory of Roger Schank, which states that the human memory is dynamic and change with its experiences along their lives. The main reasoning cycle in Case-Based Reasoning is depicted in the figure. There are four main tasks: retrieve similar cases to the new one to be solved; adapt the solution of the most similar case/s to fit the exact description of the new case; evaluate the performance of the solution proposed by the system; and finally, learn a new case from the new solved problem to enhance the experiential knowledge of the system.
Current passive waste exchanges are often ‘e-bay style’ tools listing available resources, but lacking user support to identify reuse opportunities, or overcome information barriers to the reuse of complex industrial wastes. SHAREBOX builds on an existing commercial web-based resource reuse database SYNERGie®, currently hosting data from over 30,000 companies in 22 countries around the world, delivering business benefits by enabling identification and advancement of resource reuse opportunities.
SYNERGie® offers database, project management, and reporting functionality. SHAREBOX adds to this capability with decision support tools and modules enabling application of energy and filtration technologies.
Industrial Symbiosis and its Benefits
Whereas many companies are aware of the concept of circular economy and go to great lengths to reduce energy and material consumption in their internal processes, much less effort is spent on the creation of synergies beyond the organizational limits of an industrial production site.
Industrial parks in the chemical and process industry often only valorise a limited number of the most important downstream products by passing them on to other companies in a connected system.
Less attention is being paid to resources that only appear in smaller amounts or that could be valorised in synergies between partners across sectoral borders. In the companies, there is little to no knowledge about the potential value of such synergies.
The presentation provides a definition of industrial symbiosis, explains the rationale of this concept and its importance for sustainable industrial development and competitiveness. It explains different approaches of industrial symbiosis and gives various examples in the form of case studies. It discusses barriers and success factors for implementation, and it introduces into the contents of the CEN Workshop Agreement on industrial symbiosis, which can be seen as the first step towards standardisation of IS-related procedures. Finally, the presentation informs future industrial applicants about which challenges they may have to expect and how to cope with them.
Basic functionalities of SHAREBOX
SHAREBOX has developed into a very powerful but also complex instrument. The platform uses aspecific syntax that may not be known from other computer applications. This applies for instance to the classification of industries and resources.
Traditional classification systems like NACE or EWC do not cover the whole range of possible cases that are applicable for SHAREBOX. The process of negotiating a synergy also requires a specific syntax that defines the objects and the steps of negotiation.
The presentation introduces into the motivation for creating the SHAREBOX web-based platform and how the objectives were met by the design of the platform. It explains the concept and the basic elements of the platform, using several screenshots. It further introduces into the platform’s decision support tools.
The presentation introduces into the motivation for creating the SHAREBOX web-based platform and how the objectives were met by the design of the platform.
It explains the concept and the basic elements of the platform, using several screenshots.
It further introduces into the platform’s decision support tools.
Evaluating IS and Cost Allocation
Several sophisticated decision support tools like the COSTIS and EVALIS recommender systems developed by University of Twente are integrated in SHAREBOX platform and require specific knowledge on their methodology and function.
The software already has an extensive help function, which presents the theoretical objective of the recommender systems and gives SHAREBOX user tips on how to use the tool to achieve better results.
The presentation introduces into the evaluation tools EVALIS and COSTIS.
It explains the difference between single and shared mode of these tools, and it provides instructions how to use them.