Moises Graells, is Associate Professor of Chemical Engineering at Universitat Politècnica de Catalunya (UPC). He holds a degree in Chemical Science from Universitat Autònoma de Barcelona (UAB, 1989). After a brief experience in high school and industry, he was granted by FI/DGU (Generalitat de Catalunya) and obtained his Ph.D. in 1996 at UPC. His thesis on Process Systems Engineering was supervised by Prof. Luis Puigjaner. Since 1991 he has been a researcher at the group led by Prof. Puigjaner and he has participated in several R+D national and international projects funded by public (EU programs JOULE, ESPRIT, BRITE, GROWTH, IMS, etc., national programs CICYT, CIRIT, CEDETI, etc.) and private institutions (Hyprotech, Bayer, The CO-LaN). He has also participated in technology transfer and cooperation projects, and TEMPUS projects for restructuring engineering courses at diverse eastern and former USSR countries (Russia, Ukraine, Bulgaria, etc.). He has co-authored more than 40 research papers in international journals; he has co-supervised four Ph.D. thesis, published three book chapters in specialized monographs and presented more than 100 communications in national and international meetings. Since 1998 he has been lecturing Chemical Engineering at different UPC schools: Escola Universitària Politècnica de Vilanova i la Geltrú (EUPVG), Escola Tècnica Superior d’Enginyeria de Industrial de Barcelona (ETSEIB) and Escola Universitària d’Enginyeria Tècnica de Industrial de Barcelona (EUETIB). His teaching experience includes innovative projects presented to Engineering Education conferences and awarded with the Vicens Vives distinction (Generalitat de Catalunya). Eleonora Riva Sanseverino Received the M.S. degree in electrical engineering, and the Ph.D. degree in electrical engineering from the University of Palermo, Italy, in 1995 and 2000, respectively. She is an Associate Professor with the Department of Electrical and Electronic Engineering and Mathematics, DEIM at UNIPA, where she currently teaches courses on power distribution, building automation and intelligent systems. During her phD she took part to the DIADIC research group on Genetic Algorithms at the School of Electrical Engineering and Computer Science at the Washington State University, WA, USA, under the guidance of Prof. Hillol Kargupta. She is responsible of different research projects and scientific cooperation agreements: with the national Italian research agency ENEA; with the Institute of Energy Science, Hanoi (VN); with the university EPU, Hanoi, VN. Her research interests are oriented to different power distribution systems aspects, mostly to energy management systems, to the application of soft computing techniques to different engineering problems, starting from problems formulation and variables coding. Fee 6000 DKK for PhD students outside of Denmark and 1500 DKK for PhD students in Denmark, who is not from AAU. 8000 DKK for the Industry. Industrial/Ph.D. Course in EMS and Optimization in Microgrids - In Theory and Practice Oct 20 – Oct 22 2 014 Department of Energy Technology Aalborg, Denmark Background of the course Energy is a resource that needs to be managed and decisions need to be made on production, storage, distribution and consumption of energy. Determining how much to produce, where and when, and assigning resources to needs in the most efficient way is a problem that has been addressed in several fields. There are available tools that can be used to formulate and solve this kind of problems. Using them in energy management problems requires starting with the basics of math programming techniques, addressing some standard production planning problems, and adapting the solutions to new particular situations of interest. A first issue is revisiting the modelling concept. The model is a simplified and limited representation of our reality. Complex multi-level problems may need different models and models valid at the operational level (control) may not be useful at the tactical or strategic levels (scheduling and planning). Thus, when addressing energy planning problems, detailed physical models based on differential equations will be replaced by algebraic equations expressing the basic relations between lumped parameters. Students attending the course will learn how to recognise and formulate production planning problems, and how to solve them using existing software. Since there are many powerful solvers now available, solving the problem may reduce to properly modelling it. The software GAMS will be introduced and students will use it to solve diverse planning cases during supervised hands-on sessions. The Excel Solver will be also used for illustrative and comparative purposes, and other solvers and modelling systems that are also available will be commented. The examples range from the classical transport problem to recent MILP models proposed for the optimization of energy supply chains, and they will allow discussing the choice of objective function, the representation of discrete decisions, using formulation tricks and checking the results. The course is intended for those students that, having a general knowledge in mathematics, simulation and optimization, have a very limited experience in math programming and production management, and need to be introduced to these tools for energy systems planning and optimization. Some insights into heuristic optimization for optimal design and operation of microgrids will also be given, offering and explaining some problems formulations and creating the pre-requisites for the the choice of the most convenient tool for their solution. LabV Interfacing Excel and GAMS LabVI Planning of batch processes using Excel/ GAMS LabVII Writing a code for optimization Day 3, 08.30-16.30 No less than 60% of the course time will be spent in the lab L7 Heuristic population based optimization L8 Population based heuristics L9 Multi-objective optimization L10 Microgrids operation and design-Special focus on EMS L11 Production Planning in a MicroGrid Lab VIII - Arduino based real-world optimization application Keep yourselves updated at www.et.aau.dk Course Location Prerequisites In order to be able to perform the exercises, the course participants should bring their notebooks with Matlab pre-installed (in case that it is not possible, some computers will be available). Registration Please fill out the registration form available at: http://phdcourse.aau.dk/index.php?list=29586 Course Program Day 1, 08.30-16.30 L1 L2 Presentation: PSE & Energy Systems Introduction to process modeling and optimization L3 Production Planning of continuous systems LabI Planning of continuous processes using Excel LabII Planning of transport processes using Excel LabIIIPlaning of semi-continuous processes using GAMS Day 2, 08.30-16.30 L4 Transport planning and semi-continuous systems L5 Planning of batch and discrete systems L6 Production Planning in a MicroGrid LabIV Multi-period planning using Excel/GAMS Aalborg University, Department of Energy Technology Pontoppidanstraede 101, Room 23 DK-9220 Aalborg East, Denmark Further information Corina Gregersen Senior Clerk - Department of Energy Technology Phone +45 99403320 Email: [email protected] Accommodation and Transport For hotel, transport information and booking check: www.et.aau.dk/phd/phdcourses Credits 2.0 ECTS Registrations close on Sept. 29, 2014