Challenges of implementing economic model predictive control strategy for buildings interacting with smart energy systems
Applied Thermal EngineeringPublished 21 November 2016
Yi Zong, Georg Martin Böning, Rui Santos, Shi You, Junjie Hu, Xue Han
Citations79
SJR quartileQ1
SJR score1.58
SNIP1.99
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
When there is a high penetration of renewables in the energy system, it requires proactive control of large numbers of distributed demand response resources to maintain the system’s reliability and improve its operational economics. This paper presents the Economic Model Predictive Control (EMPC) strategy for energy management in smart buildings, which can act as active users interacting with smart energy systems. The challenges encountered during the implementation of EMPC for active demand side management are investigated in detail in this paper. A pilot testing study shows energy savings and load shifting can be achieved by applying EMPC with weather forecast and dynamic power price signals
Keywords
Engineering
AutomaticaConstrained model predictive control: Stability and optimality
8,395 Citations2000D.Q. Mayne, James B. Rawlings +2 more
This review focuses on model predictive control of constrained systems, both linear and nonlinear, and distill from an extensive literature essential principles that ensure stability to present a concise characterization of most of the model predictive controllers that have been proposed in the literature.
Journal of Process ControlArchitectures for distributed and hierarchical Model Predictive Control – A review
1,256 Citations2009Riccardo Scattolini
A classification of a number of decentralized, distributed and hierarchical control architectures for large scale systems is proposed and attention is focused on the design approaches based on Model Predictive Control.
Applied EnergyExperimental analysis of model predictive control for an energy efficient building heating system
733 Citations2011Ján Široký, Frauke Oldewurtel +2 more
Energy and BuildingsIdentifying suitable models for the heat dynamics of buildings
647 Citations2011Peder Bacher, Henrik Madsen
A procedure for identification of suitable models for the heat dynamics of a building is suggested, essential for better usage of readings from smart meters, which is expected to be installed in almost all buildings in the coming years.
AIChE JournalDisturbance models for offset‐free model‐predictive control
602 Citations2003Gabriele Pannocchia, James B. Rawlings
IEEE Transactions on Automatic ControlA Lyapunov Function for Economic Optimizing Model Predictive Control
504 Citations2010Moritz Diehl, Rishi Amrit +1 more
For a class of nonlinear systems and economic stage costs, this technical note constructs a suitable Lyapunov function, and the optimal steady-state solution of the economic stage cost is an asymptotically stable Solution of the closed-loop system under economic MPC.
Chemical Engineering ScienceDemand reduction in building energy systems based on economic model predictive control
370 Citations2011Jingran Ma, S. Joe Qin +2 more
Fundamentals of economic model predictive control
318 Citations2012James B. Rawlings, David Angeli +1 more
This tutorial explains how to design model predictive control systems and what kinds of closed-loop properties one can achieve with them, and covers the following issues: asymptotic average performance; closed- loop stability and convergence, strong duality and dissipativity, and terminal periodic constraints.
Economic Model Predictive Control for building climate control in a Smart Grid
289 Citations2012Rasmus Halvgaard, Niels Kjølstad Poulsen +2 more
A model for a house with a ground source based heat pump used for supplying thermal energy to a water based floor heating system is presented and the optimized operating strategy saves 25-35% of the electricity cost.
Lecture notes in control and information sciencesOptimizing Process Economic Performance Using Model Predictive Control
240 Citations2009James B. Rawlings, Rishi Amrit
The current paradigm in essentially all industrial advanced process control systems is to decompose a plant’s economic optimization into two levels; the first level performs a steady-state optimization and the second performs a dynamic optimization.
Applied EnergyUse of model predictive control for experimental microgrid optimization
221 Citations2013Alessandra Parisio, Evangelos Rikos +2 more
International Journal of ClimatologyWind climate estimation using WRF model output: method and model sensitivities over the sea
211 Citations2014Andrea N. Hahmann, Claire Vincent +3 more
Energy and BuildingsModelling the heat dynamics of a building using stochastic differential equations
166 Citations2000Klaus Kaae Andersen, Henrik Madsen +1 more
IEEE Transactions on Smart GridApplication of Model Predictive Control for Active Load Management in a Distributed Power System With High Wind Penetration
131 Citations2012Yi Zong, Daniel Kullmann +3 more
An experimental platform for the research on advanced control and power system communication in distributed power systems and one of its components-an intelligent office building (PowerFlexHouse) is introduced, which is used to investigate the technical potential for active load management.
A FPGA implementation of model predictive control
127 Citations2006Keck Voon Ling, S.P. Yue +1 more
A rapid prototyping environment suitable for exploring the various implementation issues to bring MPC onto a chip is described and it is shown that a modest FPGA chip could be used to implement a reasonably sized constrained MPC controller.
Economic model predictive control for building energy systems
116 Citations2011Jingran Ma, S. Joe Qin +2 more
Building and EnvironmentQuantifying the relevance of adaptive thermal comfort models in moderate thermal climate zones
105 Citations2005Joost van Hoof, Jlm Jan Hensen
Journal of Process ControlA distributed MPC strategy based on Benders’ decomposition applied to multi-source multi-zone temperature regulation
74 Citations2011Petru-Daniel Moroşan, Romain Bourdais +2 more
ISA TransactionsMulti-objective optimization for model predictive control
63 Citations2007Willy Wojsznis, Ashish Mehta +3 more
To achieve this complex operation, handle process outputs predicted to go out of limits, and have a guaranteed solution for any condition, the technique makes use of the priority structure, penalties on slack variables, and redefinition of the constraint and control model.
Control Engineering PracticeModel predictive controller design and implementation on FPGA with application to motor servo system
60 Citations2012Nan Yang, Dewei Li +2 more
An integrated hardware and software design method is developed to implement an MPC algorithm on an FPGA chip, making it possible to achieve the long-desired goal of extending MPC algorithms to field control so as to deal with constraints effectively.
Modern Predictive Control
47 Citations2009Baocang Ding
Systems, modeling and model predictive control Systems Modeling State space model and input/output model Discretization of continuous-time systems Model predictive control (MPC) and its basic properties Three typical optimal control problems of MPC Finite-horizon control, dual-mode suboptimal control and closed-loop optimization.
Energy and BuildingsEstimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules
43 Citations2007M.J. Jiménez, Henrik Madsen +2 more
Quarterly Journal of the Royal Meteorological SocietyCorrelation and coherence of mesoscale wind speeds over the sea
38 Citations2016Anna Rieke Mehrens, Andrea N. Hahmann +2 more
Modern Predictive Control
35 Citations2018Baocang Ding
Proceedings of the ... ISARCEconomic Model Predictive Control - A Review
33 Citations2014Tri Tran, Keck Voon Ling +1 more
Stability of model predictive control with soft constraints
31 Citations2002A. Zhang, Manfred Morari
It is shown that with state feedback MPC is globally asymptotically stabilizing if and only if all the eigenvalues of the open loop system are in the closed unit disk.
IET Generation Transmission & DistributionExplicit model predictive control applications in power systems: an AGC study for an isolated industrial system
29 Citations2016Hao Jiang, Jin Lin +3 more
Model predictive control implementation on a programmable logic controller for DC motor speed control
28 Citations2011Arief Syaichu-Rohman, Raphael Sirius
The results of MPC implementation in the PLC have shown that MPC with a simple QP algorithm may be implemented in a PLC with a comparable performance with PI-AW.
Implementation and experimental validation of classic MPC on Programmable Logic Controllers
21 Citations2012Bart Huyck, L. Callebaut +6 more
This paper investigates the use of an online quadratic programming solver to exploit MPC on a PLC with the classic Hildreth QP algorithm and qpOASES, a recently developed online active set strategy.
IFAC Proceedings VolumesInfeasibility handling in linear MPC subject to prioritized constraints
19 Citations1999Jostein Vada, Olav Slupphaug +1 more
An algorithm designed for linear state-space MPC is proposed which optimally relaxes an infeasible prioritized MPC optimization problem into a feasible one by solving only one LP on-line in addition to the standard MPC optimized problem.
Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)A non-linear stochastic model for an office building with air infiltration
17 Citations2015Anders Thavlov, Henrik Madsen
A hybrid model predictive control scheme for energy and cost savings in commercial buildings: Simulation and experiment
17 Citations2015Hao Huang, Lei Chen +1 more
The result shows that the proposed control scheme can achieve a considerable amount of savings without violating occupants' thermal comfort.
Experimental study of economic model predictive control in building energy systems
15 Citations2013Jingran Ma, S. Joe Qin +1 more
This paper presents results from testing an economic model predictive control strategy in an office building located in Milwaukee, Wisconsin, USA, that was successful at reducing energy costs compared to the baseline case for the considered building.