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Résultats exploitables
"Integrated Approach to the Design of Energy Efficient Systems" - The phrase chosen as the title of this project reflects its integrated nature of approach to the problem of designing energy efficient and clean process systems. This approach has led to a co-ordinated activity encompassing four main areas:
- A framework for process synthesis representation, site-wide considerations, life-cycle assessment and operational aspects in order to identify new processing routes leading to more energy efficient and clean processes.
-. A methodology, for solving the resulting mathematical models based on multi-objective optimisation and mixed integer programming techniques.
- Development of computer-aided prototype tools that provide the platform for the effective implementation of the above representation framework, the methodology and the established techniques.
-. Industrial Applications, for testing and validating the developed tools, ensuring the technology transfer and improve current design and operational practice.
In the context of the research carried out in this project, a novel process synthesis representation has been developed and tested, based on fundamental physico-chemical phenomena (heat & mass transfer, chemical and phase equilibrium), which have enabled the conceptual identification of novel, hybrid processing routes and schemes requiring less energy and generate smaller amounts of waste. Energy requirements and waste generation have been assessed on a site-wide basis, i.e. by including the analysis of the energy generation plant and the processes providing the raw materials together with the conventional process system. The basis allows comparisons to be performed in a consistent and balanced way. Operational aspects, such as sequencing and scheduling, operability and safety, have also been explicitly incorporated into the analysis. The overall process synthesis/design model is represented by a novel multi-objective optimisation formulation, which has allowed the establishment of trade-offs amongst the design objectives of energy use, process economics and environmental impact. Decomposition algorithms employing mixed integer non-linear programming and global optimisation principles have been developed to efficiently solve the resulting large scale models. Parametric studies have also been performed to analyze the effect of variations in key parameters and process data on the design decisions. Two prototype computer-aided tools have been developed to support the entire design activity, encompassing all the process modelling techniques and representation methodologies as well as the corresponding numerical algorithms developed in the context of this project. The two tools have been tested and applied with success in the industrial case studies, achieving excellent potential for further development and exploitation.
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