Program
09:00 – 09:40, Geert Deconinck, Electric vehicle charging: matching market objectives and technical constraints
09:40 – 10:20, Peter B. Luh, Exergy-based operation optimization of a distributed energy system through the energy-supply chain
10:20 – 10:40, tea break
10:40 – 11:20, Ning Gui, E-BIM: A Building Information Model based Platform to Energize Green Buildings
11:20 – 12:00, Qing-Shan Jia, On Occupant Oriented Wireless Sensor Network in Cyber Physical Energy Systems

Speaker：Prof.dr.ir. Geert Deconinck

Geert Deconinck received his B.S, M.Sc and Ph.D in Engineering from University of Leuven, Belgium in 1991 and 1996 respectively. Currently, he is full professor at the University of Leuven (KU Leuven, Belgium) and scientific leader for the research domain ‘algorithms, modelling and optimization applied to smart grids’ at EnergyVille. His research domain comprises coordination and control in smart electric distribution networks. In this field, he has (co-)authored more than 400 academic publications, and was principle investigator in projects, worth over 8.7 M?budget over the last 5 years. He has been (co)supervisor for 25 successful PhDs, and is currently supervisor or co-supervisor of 9 PhD students. He is a fellow of the Institute of Engineering and Technology (IET) and a senior member of the IEEE.

Talk：Electric vehicle charging: matching market objectives and technical constraints

The charging of electric vehicles can play a double role for supporting future smart grids. On the one hand, it can keep voltage within its normal range, while on the other hand, it can shift its load pattern in order to balance the grid. In this presentation, we will show that these technical constraints and market objectives are not contradictory, and even can be combined without reverting to overly complex approaches.

Speaker: Prof. Peter B. Luh

Peter B. Luh received his B.S. from National Taiwan University, M.S. from M.I.T., and Ph.D. from Harvard University. He has been with the University of Connecticut since 1980, and currently is the SNET Professor of Communications & Information Technologies. He was the Head of the Department of Electrical and Computer Engineering from 2006 to 2009.  He is also a member of the Chair Professors Group, Center for Intelligent and Networked Systems (CFINS) in the Department of Automation, Tsinghua University, Beijing, China. Professor Luh is a Fellow of IEEE. He was the VP of Publications of RAS (2008-2011), the founding Editor-in-Chief of the IEEE Transactions on Automation Science and Engineering (2003-2007), and the Editor-in-Chief of IEEE Transactions on Robotics and Automation (1999-2003). He received IEEE Robotics and Automation Society 2013 Pioneer Award for his pioneering contributions to the development of near-optimal and efficient planning, scheduling, and coordination methodologies for manufacturing and power systems. His research interests include Smart Power Systems – smart grid, design of auction methods for electricity markets, robust renewable (wind and solar) integration to the grid, and electricity load and price forecasting; Intelligent Manufacturing Systems – planning, scheduling, and coordination of design, manufacturing, and service activities; Smart and Green Buildings and Eco Communities – optimized energy management, HVAC fault detection and diagnosis, emergency crowd guidance, and eco communities. 

Talk：Exergy-based operation optimization of a distributed energy system through the energy-supply chain

Developing sustainable energy systems is crucial in today’s world because of the depletion of fossil energy resources and global warming problems. Application of exergy principles in the context of energy supply systems may achieve a more efficient energy-supply chain and a rational use of energy in buildings. This paper presents the exergy-based operation optimization of a Distributed Energy System (DES) by considering the whole energy-supply chain from energy resources to user demands. The problem is challenging in view of the complicated interactions of devices and the modeling of exergy losses. To capture these complicated interactions, energy networks are established with exergy losses modeled at the conversion step. A multi-objective mixed integer programming problem is formulated. The problem is efficiently solved by the novel integration of the surrogate Lagrangian relaxation and branch-and-cut. The Pareto frontier, including the best possible trade-offs between the economic and exergetic objectives, is obtained by minimizing a weighted sum of the total energy cost and total exergy losses occurring in the energy conversion step. Results demonstrate that the use of high-quality energy resources is reduced by the reduction of exergy losses through the optimized operation of the energy-supply chain, leading to the sustainability of energy supply systems.

Speaker：Dr. Ning Gui

Ning Gui received his Ph.D from University of Antwerp, Belgium in 2010. During 2011 to 2012, he was the post-doc research fellow in University of Leuven. Now he is the leader of the project “PV-building smart integrated design” in the Zhejiang Distributed PV Grid-Connected Technology Research Institute. His research interests include renewable energy, smart grid, and adaptive software system.

Talk：E-BIM: A Building Information Model based Platform to Energize Green Buildings

In order to seamlessly integrate green energies into buildings, green building practices have to take full consideration of different green energies’ perspective requirements. To this end, we proposed E-BIM: an Electricity Design & Management Platform based on the Building Information Model. This platform aims to provide green energy design, deployment and management services across the whole lifecycle of green buildings. A practical case study of the Building integrated Photovoltaic (BIPV) is provided. This case study shows that E-BIM can effectively improve the efficiency of photovoltaic architectural design, maximize energy harvesting and optimizing photovoltaic equipment operation efficiency.

Speaker：Prof. Qing-Shan Jia

Qing-Shan Jia is an associate professor in Center for Intelligent and Networked Systems (CFINS), Department of Automation, Tsinghua University. He received his bachelor and PhD in control science and engineering from Tsinghua University in 2002 and 2006, respectively. He was an assistant professor in CFINS from 2006 to 2010. He was also a visiting scholar at Harvard, Hong Kong University of Science and Technology, and Massachusetts Institute and Technology in 2006, 2010, and 2013, respectively. His main research interest is simulation-based optimization of large scale networked systems, with applications in smart buildings and smart grid. He is a senior member of IEEE, and serves as an Associate Editor of IEEE Transactions on Automatic Control, IEEE Transactions on Automation Science and Engineering, and Discrete Event Dynamic Systems – Theory and Applications.

Talk：On Occupant Oriented Wireless Sensor Network in Energy Cyber Physical Systems

There is an increasing demand on energy efficiency, comfort, and safety in buildings. These different objectives may be achieved by the energy cyber physical systems (ECPS) in buildings in the same time. Occupant-oriented wireless sensor network plays a key role in ECPS, which collects information on the demand (what the occupant wants), the supply (what the building can offer), and how the two parts may coordinate with each other (the elasticity of the demand and the supply). In this talk, we will review the state of art and the state of practice in this field. In particular, we will see what the existing occupant oriented wireless sensor networks are and how these networks work. Then we will discuss how these networks may work better through various simulation-based optimization methods and techniques.