Ultimate Online tools
Ultimate Ontology
What is this Tool?
An ontology is a formal representation of concepts, relationships, and knowledge specific to a particular domain, in this case “water management and industrial symbiosis”. It defines and structures the key elements related to optimize water use, sustainability and collaboration in industrial processes. This ontology facilitates the establishment of informational links between industries and processes, allowing for a common vocabulary to understand and share information about the potential reusability of resources such as water and materials.
Why do we need it?
We need an ontology for several purposes:
- Information Integration: It enables the integration of information from various sources and industries, allowing for a better understanding of resource-sharing possibilities and their impacts.
- Common Vocabulary: It establishes a common vocabulary for discussing and sharing information, promoting consistency and clarity across industries.
- Process Interlinking: It represents process interconnections in terms of different resources, enhancing the understanding of how resources can be shared.
- Alignment with KPIs: It aligns with key performance indicators (KPIs) related to the nexus of water, energy, food, climate, and environment, facilitating data understanding at different levels.
How do we support?
The ontology has been constructed following an agile semantic development methodology called SAMOD. This methodology facilitates ontology construction, documentation, and publication. The ontology has been made available for reuse and extension via the following link:
Guidance Document
All the information about the semantic development methodologies, challenges, requirements and use-cases relevant for the WSIS ontology creation are depicted in the following document:
Guidance Document
Download
Ultimate Hybrid Modelling & Simulation
What is this Tool?
techniques to comprehensively analyze complex systems of Industrial Symbiosis (InSym). Traditional OR methods alone often fall short in capturing the intricate dynamics of InSym, characterised by diverse stakeholder interactions and non-linear behaviors. The Hybrid Modelling and Simulation tool leverages the strengths of individual approaches namely Agent-Based Simulation (ABS), Discrete Event Simulation (DES), System Dynamics (SD), and Multi-criteria Decision Analysis (MCDA), to provide a more accurate representation of the system. For instance, ABS captures the bottom-up dynamics by simulating the actions and interactions of autonomous decision-making entities, which is crucial for understanding emergent order in InSym. DES, rooted in queuing theory, models discrete sequences of events, making it suitable for process analysis in manufacturing, logistics, and service-based systems, all relevant to InSym operations. SD offers a top-down approach, focusing on feedback mechanisms and causal loops to provide a holistic view of the system dynamics. By combining these approaches, the Hybrid Modelling and Simulation tool can effectively model the water cycle in an InSym context, providing valuable insights for decision-makers.
Decision Co-Creation Platform
The decision co-creation platform is an interactive online tool developed to provide a sandbox for stakeholders so that they can experiment with different parameters related with their industries and explore under what circumstances paradigms and technologies relevant to Circular Economy and industrial symbiosis become favorable.
Youtube videos describing the platform are available below.
Introduction video: https://youtu.be/WwN9vp6fdsU
Dutch case study video: https://youtu.be/ody_En-c46Y
Israeli case study video: https://youtu.be/3_R5-278MYk
Greek case study video: https://youtu.be/6SZLlerxkDk
Why do we need this tool?
Hybrid Modelling and Simulation tools are imperative for addressing the unique complexities inherent in decision-making within Industrial Symbiosis (InSym). Traditional business models often lack the capacity to encompass the dynamic and multi-dimensional nature of InSym. InSym decision problems are characterized by prolonged timelines, diverse stakeholder priorities, and the intricate interplay of resource exchanges among participating firms. Additionally, the system’s performance is perceived differently by stakeholders, and operational efficiency is paramount to all involved businesses. The complexity further arises from the dynamic, non-linear, and variable relationships among impact factors within InSym. To effectively navigate these challenges, a hybrid modelling framework integrating Agent-Based Simulation (ABS), System Dynamics (SD), Discrete Event Simulation (DES), and Multi-Criteria Decision Analysis (MCDA) techniques is proposed. While previous studies have explored hybrid simulation architectures, they have primarily focused on specific aspects like material flow and lifecycle engineering. Therefore, the development of a comprehensive hybrid approach tailored to address the diverse demands of InSym decision-making is crucial.
The ULTIMATE online co-creation decision platform presented in this work aims at engaging stakeholders from relevant industries to explore how to combine industrial symbiosis and Circular Economy in the domain of water and discover resulting benefits. The platform presents enhanced adaptive visualisation capabilities and flexible and performant modular modelling capacities that showcase three different interactive systems based respectively on CS#2 (greenhouse in the Netherlands), CS#4 (Israeli olive oil industry), and CS#6 (food processing industry in Greece). By observing different industrial activities in different areas and finding viable and cost-effective examples of technologies allowing the recovery of water and nutrients, we have started to uncover what might be the basis for a metabolic network of industries. These industries that can be interconnected by the physical exchange of materials, energy, water, and other by-products might one day start forming pathways not unlike the biochemical reactions shown within living cells.
How can it be used?
The developed Hybrid Modelling and Simulation tool has been firstly developed into a modelling framework for the symbiotic Water Cycle (F-SWC), and then effectively applied to three diverse case studies, demonstrating its adaptability and utility across various contexts of industrial symbiosis (InSym). In the first case study (CS2), focusing on the Dutch greenhouse industry, the framework F-SWC was employed to model water reuse and valorisation strategies in response to impending regulatory changes and water scarcity exacerbated by climate change. By combining Agent-Based Simulation (ABS), Discrete Event Simulation (DES), System Dynamics (SD), and Multiple Criteria Decision Analysis (MCDA), the hybrid model facilitated experimentation with real-world scenarios, enabling decision-makers to assess operational, tactical, and strategic options for enhancing water management within the industry. The success of the F-SWC framework in the Dutch case study sets a precedent for its applicability to other industrial symbiosis contexts.
In the second case study (CS4), focused on food processing industries in Greece, the F-SWC framework was again utilised to explore opportunities for turning wastewater into a valuable resource while mitigating illegal discharge and addressing seasonal demand fluctuations. By integrating ABS, DES, SD, and MCDA techniques, the hybrid model provided decision support for a novel wastewater treatment solution involving mobile treatment units (MTUs). The model enabled analysis of investment strategies, operational complexities, and dynamic changes in customer participation, thereby guiding the development of an industrial symbiosis approach tailored to the unique challenges of the Greek food processing industry.
Finally, in the third case study (CS6) concerning agro-industrial wastewater management in Israel, the F-SWC framework was employed to optimise a proposed treatment solution involving high-rate anaerobic systems and membrane filtration. By leveraging hybrid modelling techniques, including ABS, DES, SD, and MCDA, the tool facilitated decision-making towards whether the proposed technologies and service approach should be applied with centralised or decentralised WWTP, by balancing operational and strategic considerations, such as transport costs, facility investments, and compliance incentives for individual businesses. The hybrid model provided insights into the dynamic interplay between technical, economic, and social factors, guiding the development of a holistic approach to wastewater management that aligns with circular economy principles.
Overall, the application of the Hybrid Modelling and Simulation tool across these case studies underscores its versatility and effectiveness in addressing the complex challenges of industrial symbiosis. By integrating diverse modelling techniques within the F-SWC framework, decision-makers can navigate the intricacies of InSym decision-making, optimise resource utilisation, and foster collaborative solutions that benefit both businesses and the environment, leading to a successful and sustainable industrial symbiosis system.
The online co-creation decision platform can help to guide and inform stakeholders in CS#2 (greenhouse in the Netherlands), CS#4 (Israeli olive oil industry), and CS#6 (food processing industry in Greece). In the Dutch greenhouse case study, substantial benefits in terms of water & energy savings can be shown while using the decision platform due to the use of electrodialysis for water and nutrient recovery. The pioneering “Greener Than Green” technology used for Value Added Compound recovery also seem to show great promises in term of potential benefits in the Greek juice factory case study when extracting polyphenols from orange wastewater. It is likely that all sorts of other Value Added Compounds will be extracted in the near future from other produces. Olive oil wastewater in the Israeli olive oil industry case study might certainly be a potential contender, on top of the fact that this case study shows room for cost and water quality improvement when optimising the placement of a decentralised Advanced Anaerobic Treatment plant. Beyond helping stakeholders to find greater value in symbiosis and Circular Economy, this work has the potential to show stakeholders what the next step in Circular Economy might look like: a nascent metabolic network of pharmaceutical and food industries based on water reuse and nutrients & VAC recovery.
Current Status of this tool?
The deliverable (Deliverable 2.3) pertains to Task 2.3, which delves into Water Smart Industrial Symbiosis (WSIS) scenarios and subsequent simulations aimed at identifying opportunities for process redesign. The deliverable centres on establishing Best Practice Guidelines for employing Hybrid Modelling and Simulation (HMS) to explore WSIS scenarios within the broader technological, socio-economic, and environmental landscape. This objective is accomplished through the development of the Framework for Symbiotic Water Cycle (F-SWC) alongside its associated guidelines. The framework and guidelines serve as invaluable tools for constructing hybrid computer models utilising various modelling and simulation methodologies. These three models applying for CS2, CS4, and CS6 respectively, support stakeholders in making informed decisions regarding strategies for industrial symbiosis and the circular economy of water. The application of the F-SWC framework and best practices guidelines has guided the implementation of hybrid models across three ULTIMATE case studies. Deliverable 2.3 has been submitted, which encapsulates the efforts undertaken as part of T2.3 throughout the duration of the ULTIMATE project, spanning from M12 to M36.
The deliverable related to the co-creation decision platform (D2.4) relates to the execution of Subtask 2.3.3 that is about the development of a decision co-creation platform. This decision co-creation platform uses System Dynamic Models initially drafted within the Framework for Symbiotic Water Cycle (F-SWC) as part of Subtasks 2.3.1 and 2.3.2 and then iteratively refined during the execution of task 2.3.3 while testing the platform. The deliverable was submitted, and the corresponding work spanned from M12 to M40 for the ULTIMATE project.
Further information & contact
Mehdi Khoury , University of Exeter ( m.khoury@exeter.ac.uk )
Otto Chen , University of Exeter ( c.chen2@exeter.ac.uk )
Guidance Document
Deliverable 2.3 report. Deliverable 2.4 report .
ULTIMATE KPI tool for WSIS performance assessment
What is this tool?
The KPI tool is designed to support static and live calculation and display of certain metrics identified as relevant to the evaluation of sustainability in industries. A user can visit the webpage of the tool and create an account to gain access to the functionalities. Then either by manually inputting the relevant values or by connecting their local system’s database to the tool (through its API function) the KPIs are calculated and displayed to the user helping them assess their industrial plant’s sustainability performance
Why do we need this tool?
While sustainability is perceived as important in the new industrial practices there are not many tools and methods available to help in measuring and thus implementing and assessing it. Therefore, this digital tool was created to cover this need. It provides a user-friendly interface with a very intuitive operation that can immediately yield metrics that demonstrate the sustainability performance. The automated data retrieval function (through the integrated API functionality) allow the user to create a dashboard that demonstrates “live” (based on the available data recovery rate) the KPIs directly upon connection to the system
How do we support?
The tool is designed to be user friendly therefore its operation is rather straightforward. A new user must first create an account to get access credentials and then they can either input manually the relevant numerical data to get a direct assessment (real data for an as-is evaluation and hypothetical data for scenario comparison) or go through the process of connecting their database to the tool through the API functionality and then create a dashboard in order to show automatically time-series graphs of the selected KPIs.
Further Information & Contact
Regarding access to the tool, development status or guidance please reach to Alexandros Kritikos at alexkritikos@mail.ntua.gr
Guidance Document
Regarding the more complex process of API connection, the relevant documentation of the tool’s API is available upon request.