Seminar: Optimal partitioning of multi-thermal zone buildings for decentralized control by Ercan Atam

Department of Industrial Engineering
Optimal partitioning of multi-thermal zone buildings for decentralized control    
Ercan Atam     

Department of Electrical and Electronics Engineering, Control and Power Division, Imperial College, London

Among building thermal comfort control strategies, model predictive control (MPC) and its variants are the most popular ones, which can provide energy savings of up to 40% compared to an on-off or rule-based controller. In energy-efficient thermal control of buildings, both centralized MPC (C-MPC) and decentralized MPC (D-MPC) can be used. Given a multi-zone building consisting of a large number of thermal zones (such as a university building or an airport), it is crucial to have a kind of optimal balance between centralization and decentralization, which in turn means that one needs to find an optimal partitioning of thermal zones into a set of clusters and control of each cluster using a separate C-MPC. In this seminar, we present an optimization-based systematic approach for the challenging, less studied, and important problem of optimal partitioning of multi-thermal zone buildings for decentralized control. The proposed method consists of (i) construction of a graph-based network to quantitatively characterize the thermal interaction level between neighbour zones, and (ii) the application of two different approaches for optimal clustering of the resulting network graph: stochastic optimization and robust optimization.  
Short Bio: 
Ercan Atam received his B.Sc., M.Sc., and Ph.D. degrees in Mechanical Engineering from Boğaziçi University, Istanbul, Turkey, in 2002, 2005, and 2010, respectively, with a major in control theory and a minor in optimization during the PhD program.  He was a postdoctoral researcher with LIMSI-CNRS from 2010 to 2012 working on fluid flow control and a postdoctoral researcher with KU Leuven from 2012 to 2015 working on control and optimization of energy-efficient buildings.  Between 2016 and 2019, he was an independent researcher supported by TUBITAK through different research programs (BIDEB 2232 and BIGG 1512) working on decentralized control and optimization with application to energy-efficient buildings and development of optimal control systems for frost prevention in horticulture applications. Since August 2019, he is an honorary research fellow in Electrical and Electronic Engineering Department, Imperial College London, working on development of optimal partitioning and decentralized control schemes for large-scale systems. His research interests include decentralized control, integer programming, convex optimization and machine learning with applications to renewable energy-integrated smart systems.
Date: Tuesday, June 30, 2020
Time: 15:00-16:00
Online Seminar Link:
Topic: IE Seminar: Ercan Atam 
Time: Jun 30, 2020 03:00 PM Istanbul
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Meeting ID: 944 0616 8695