Page 45 - ASME DSCC 2015 Program

Technical Program

Modeling and Simulation of Residential Power Demand Including Extremum Seeking Based Control Strategy for A Chilled-Water Plant
Transportation With Parallel Chillers
Invited session paper. DSCC2015-9852 Invited session paper. DSCC2015-9949
Stephanie Stockar, Mario Maiorino, Giorgio Rizzoni, Ohio State University, Baojie Mu, University of Texas at Dallas, Dallas, TX, United States,
Columbus, OH, United States, Marco Sorrentino, University of Salerno, Yaoyu li, University of Texas at Dallas, Richardson, TX, United States,
Fisciano Salerno, Italy Timothy I. Salsbury, John M. House, Johnson Controls, Inc., Milwaukee, WI,
United States
Personal transportation has a significant impact on the residential electric
energy usage due to the interaction of alternative fueled vehicles with the Chilled-water plants with multiple chillers are the backbone of ventilation
electric grid. This phenomenon is projected to grow significantly, as several and air conditioning (VAC) systems for commercial buildings. A multivari-
studies confirm that the market penetration of alternative fueled vehicles ate extremum seeking control (ESC) strategy is proposed in this paper for
will steadily increase in the future. This paper presents a control-oriented maximizing the energy efficiency in real time for a variable primary flow
model that predicts the daily residential power demand considering multiple (VPF) chilled-water plant with parallel chillers. The proposed ESC algorithm
energy carriers and different types of alternative fueled vehicles for personal takes the total power consumption (chiller compressors + cooling tower fan
transportation. The model has been used to perform an energy analysis + condenser water pumps) as feedback, and tower fan air flow, condenser
on a large sample of homes with the objective of evaluating the impact water flows and chilled-water leaving temperature setpoint as plant inputs
of personal transportation on the residential electric power demand. Two (ESC outputs). A band-pass filter array is used in place of the conventional
penetration levels are considered in the study and the results are evaluated high-pass filter at the plant output so as to reduce the cross-channel interfer-
based on several metrics. ence. In order to deal with input saturation under variable load and ambient
conditions, the ESC is enhanced with a multi-variable anti-windup scheme.
Automated Multi-Zone linear Parametric Black Box Modeling Approach
Chiller sequencing is also enabled with input saturation related signals. A
for Building HVAC Systems
Modelica based dynamic simulation model is developed for a chilled-water
Invited session paper. DSCC2015-9933
plant with two parallel chillers, one cooling tower, one air-handling unit and
Rohit Chintala, Bryan Rasmussen, Texas A&M University, College Station, one zone. Simulation results under several testing conditions validate the
TX, United States
effectiveness of the proposed model-free control strategy, as well as the
Optimal control algorithms such as distributed model predictive control significant energy saving.
(DMPC) offer tremendous potential in reducing energy consumption of
ConTRIBuTED SESSIon
building operations. Heating, ventilation and air-conditioning (HVAC) systems
1-28-1 TA5 Assistive Robotics
which form a major part of the building operations contain a large number
Emerson Burkhart A 10:00am–12:00pm
of interconnected subsystems. One of the challenges associated with
implementing DMPC is the development of reliable models of individual
Session Chair: frank Sup, University of Massachusetts Amherst
subsystems for prediction, especially for large scale systems. In this paper
Session Co-Chair: Rifat Sipahi, Northeastern University
an automated method is proposed to develop linear parametric black box
models for individual building HVAC subsystems. The modeling method
Design of a 6-Dof Robotic Gait Training System with Closed-loop foot
proposed identifies the significant inputs, and the upstream and downstream
Initiated Kinematics Control
neighbors of each subsystem before performing regression analysis to
Contributed short paper. DSCC2015-9617
determine the model parameters. Automation of the model development
makes the implementation of the model-based control algorithms much Wei liu, Auburn University, Auburn, AL, United States, John Kovaleski,
University of South Alabama, Mobile, AL, United States, Marcus Hollis,
more feasible. The modeling method is then verified through an EnergyPLus
Blue Bay Research Inc., Navarre, AL, United States
model, and using data of a real office building.
Design of a 6-DOF Robotic Gait Training System with Closed-Chain Foot
Initiated Kinematics Control
optimal Impedance Control of an upper limb Stroke Rehabilitation
Robot
Contributed regular paper. DSCC2015-9689
Borna Ghannadi, John McPhee, University of Waterloo, Waterloo, ON,
Canada
Optimal Impedance Control of an Upper Limb Stroke Rehabilitation Robot

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