Prof. Jirí Jaromír Klemeš, Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, HU

Jiri_KlemesProcess Integration: Pinch Analysis and Mathematical Programming – Directions for Future Development
Jiří Jaromír Klemeš & Petar Varbanov

Numerous studies have been performed process systems engineering field for improving the efficiency of supplying and using energy, water and other resources and consequently for reducing the emissions of greenhouse gases, volatile organic compounds and other pollutants, accumulating a significant body of methods, applications and results.It has become apparent that the resource inputs and effluents of industrial processes and the other units including the business centres, civic objects and even agricultural plants can and are often connected with each other. Most industrial plants and the other units throughout the world still use more energy and water than necessary, they are proven cases in the range 20 – 30 %, emitting too large volumes of Greenhouse Gases and other pollutants.

Water-saving measures and the reuse of water may reduce groundwater consumption by as much as 25 – 30 %. Usually reducing resource consumption is achieved by increasing internal recycling and the reuse of energy and material streams. Projects for improving process resource efficiencies can be very beneficial and also potentially improve the […]

Prof. Ana Paula Barbosa-Póvoa, Center for Management Studies, Instituto Superior Técnico, PT

Ana_Brbosa-PovoaChallenges and Opportunities in Sustainable Supply Chains
Ana Paula Barbosa-Póvoa

Supply Chains (SC) have appeared for the first time in the literature more than thirty years ago. Since then the Supply Chains Management area has grown considerably at both research and industrial levels and SC are nowadays underpinning systems of any organization. In its classical form supply chains are viewed as a combination of processes to fulfil customers’ requests that include all possible network entities such as suppliers, manufacturers, transporters, warehouses, retailers, and customers themselves (forward/direct supply chains). The main purpose of such systems has been customer´s satisfaction at a minimum cost. However, such purpose has been recently expanded and SCs have been focusing their activities towards the goal of integrating not only economic but also environmental and social aspects. The concept of Sustainable Supply Chains (SSC) has emerged, which is nowadays recognised as a challenging topic by both academics and industrialists. The management of supply chains in a sustainable way is however a complex task and many questions are still to be answered. The need for further research in the area is vital. First a clear understanding of the meaning […]

Prof. Nick Sahinidis, Department of Chemical Engineering, Carnegie Mellon University, USA

Nick_SahinidisThe ALAMO approach to machine learning
Nick Sahinidis

A central problem in modern computational science is that of learning an algebraic model from data obtained from simulations or experiments. We present a methodology that is designed to use a small number of data points to learn models that are as accurate and as simple as possible. The approach relies on integer programming techniques to build low-complexity models. The models are then improved systematically through the use of derivative-free optimization solvers to adaptively sample new simulation or experimental points. Physical constraints and insights are enforced to the model through the solution of semi-infinite optimization and global optimization subproblems. The proposed methodology has been implemented in the ALAMO software for automated learning of algebraic models. We present extensive computational results with ALAMO and comparisons between ALAMO and a variety of machine learning techniques, including Latin hypercube sampling, simple least-squares regression, and the lasso.

Prof. Adisa Azapagic, School of Chemical Engineering and Analytical Science, The University of Manchester, UK

Adisa_AzapagicESCAPE-ing into a sustainable future: Can we optimise our way to sustainable development?
Adisa Azapagic

The idea of sustainable development is now a widely accepted societal goal in many countries. However, despite numerous internationally agreed goals and objectives to support sustainable management of the environment and improve human wellbeing, the implementation of the idea has been much slower and the world continues to speed down an unsustainable path. Thus, one of the questions often posed is: how could these unsustainable trends be reversed to turn the concept of sustainable development from an aspiration into a genuine progress towards a sustainable future? Over the years, many methods, tools and approaches have been proposed in an attempt to help achieve this. Among these, systems modelling and optimisation have been suggested as powerful means for bringing sustainable development about. This talk will explore if and how they could play a role in contributing towards sustainability, examining the interplay between technology, economy, the environment and society. In particular, the following question will be posed: can we optimise our way to a sustainable future, or should we be doing something completely different?

Dr. Hermann J. Feise, BASF SE, DE

Hermann_FeiseWhat engineers needs to know – An industrial view of chemical engineering education
Hermann J. Feise, Jürgen Dahlhaus, Martin Strohrmann

The Chemical Industry as one of the major industries in Europe requires well educated engineers in its work force. The – not so – recent changes in the European academic education system, which are generally subsumed under the term “Bologna Process”, have brought many changes which tend to be discussed controversially within academia, between academia and industry and within the industry.

The Bologna process has brought three cycles (bachelor, master, PhD) to engineering education. The relatively short bachelor program has found its place in the graduate landscape. In Germany Bachelor graduates tend to occupy jobs at the interface between vocational and academic training. This is well documented by the rapidly growing “dual-study-programs” at our universities. Consecutive Master degrees have replaced the “old” German engineering degrees relatively smoothly, leading to an overall extension of the engineering education by one to two semesters. The position of structured PhD – study programs is not yet clear, as these programs do not offer many of the learning opportunities provided by the research […]

Prof. Jean-Marc Le Lann, INP-ENSIACET, University of Toulouse, FR

Jean-Marc_Le_LannManagement of “Systematic Innovation”: A kind of quest for the Holy Grail!
Jean-Marc Le Lann, Stéphane Negny & Celine Bryon-Portet

In this paper, authors proposed a joined contribution based on different views and focuses on the management of Innovation coming from Human Social Sciences (HSS) and Scientific Technological aspects. After revisiting some philosophical and historical aspects including the history of Innovation in the context of the evolution of Sciences, the concepts between creativity, innovation and inventive solving problem are well defined. It shows the necessity to get a strong methodology for innovation (more precisely technical one) in order to build an efficient framework for Design and Operation in Process Systems Engineering. These HSS concepts will revisited theories for Innovation (theory of ordinary innovation, process for destruction-creation, technological jump, notion of paradigms,…), including similarities with the concepts of the so-called technological Innovation. After dealing with the importance of Process Innovation and Problem solving investigation, as integrated parts in the business Process management including Process Systems Engineering tools such as Modelling, Simulation, optimization, the proposed approach mainly based on Process solving theory is presented. Originally based on an extension of TRIZ theory, it has been […]

Prof. Rafiqul Gani, Department of Chemical and Biochemical Engineering, Technical University of Denmark, DK

Rafiqul_GaniModels and Modelling Tools for Chemical Product and Process Design
Rafiqul Gani

The design, development and reliability of a chemical product and the process to manufacture it, need to be consistent with the end-use characteristics of the desired product. One of the common ways to match the desired product-process characteristics is through trial and error based experiments, which can be expensive and time consuming. An alternative approach is the use of a systematic model-based framework according to an established work-flow in product-process design, replacing some of the time consuming and/or repetitive experimental steps. The advantages of the use of a model-based framework is that in the design, development and/or manufacturing of a chemical product-process, the knowledge of the applied phenomena together with the product-process design details can be provided with diverse degrees of abstractions and details. This would allow the experimental resources to be employed for validation and fine-tuning of the solutions from the model-based framework, thereby, removing the need for trial and error experimental steps. Also, questions related to economic feasibility, operability and sustainability, among others, can be considered in the early stages of design. However, are the needed models […]