Modeling and Control of Heat Networks with Storage:

Slides:



Advertisements
Similar presentations
JOHN DORSETT OUR SUBSTITUTE FOR WATER HEATING AND STEAM GENERATION DEVICES WORLDWIDE PATENT PENDING.
Advertisements

Management and Control of Domestic Smart Grid Technology IEEE Transactions on Smart Grid, Sep Albert Molderink, Vincent Bakker Yong Zhou
Leak Localization in open water Channels Nadia Bedjaoui Workshop on irrigation channels and related problems N.Bedjaoui, E.Weyer and G. Bastin.
Part B4: Storage. B4.1Storage B4.1Storage Types Sensible heat –Water –Pebble bed –Ground Latent heat of phase change Chemical reaction.
Unit 3 Review.
Objectives Control Terminology Types of controllers –Differences Controls in the real world –Problems –Response time vs. stability.
CHAPTER V CONTROL SYSTEMS
Nordic Show Room on Energy Quality Management, th August 2014, O. GUDMUNDSSON, DANFOSS A/S | 1| 1 Utilization of return water in district.
Exponential Tracking Control of Hydraulic Proportional Directional Valve and Cylinder via Integrator Backstepping J. Chen†, W. E. Dixon‡, J. R. Wagner†,
Department of Information Engineering286 Transistor 3-layers device –npn (more common) –pnp (less common) N P N e b c P N P e b c.
Design and Stability of Load-side Frequency Control
Heat Exchangers (in ChemCAD)
1 Smart control of multiple energy commodities on district scale Frans Koene Sustainable places, Nice, 1-3 Oct 2014.
1 Pipe2000 Campus Facilities Modeling by Dr. Don J Wood Pipe2000 Modules.
1 Operation of heat pump cycles Jørgen Bauck Jensen & Sigurd Skogestad Department of Chemical Engineering Norwegian University of Science and Technology.
Andreas Oberhofer Research Associate, Global Energy Network Institute (GENI) Energy Storage Technologies & Their Role in Renewable.
Lecture 3: Bridge Circuits
Introduction to Industrial Control Systems
Lecture Objectives: Learn about automatic control Use life-cycle cost analysis integrated in eQUEST.
Specialization project Project title “Practical modeling and PI-control of level processes” Student Ingrid Didriksen Supervisor Krister Forsman.
Network Analysis - Introduction Transmission Planning Code Workshop 2 1 st May 2008.
Offset Free Tracking with MPC under Uncertainty: Experimental Verification Audun Faanes * and Sigurd Skogestad † Department of Chemical Engineering Norwegian.
Univ logo Control Strategies for a solar system assisted by heat pump Muhammad Waseem Ahmad Dr Mahroo Eftekhari & Dr Steffen Thomas Loughborough University.
A Hybrid Fuel Cell – Battery Power Supply Connections 2006, ECE Graduate Symposium Presented by Edward Chan, M.A.Sc. Candidate Supervisor: Professor Francis.
PSE and PROCESS CONTROL
1 Department of Chemical Engineering Faculty of Engineering, Chulalongkorn University Bangkok 10330, Thailand Plantwide control structure design for an.
 The study of and its transformation into  Looking at the macroscopic level of how heat affects our lives  KEY FOUNDATIONAL POINTS.
The Road to Quantum Computing: Boson Sampling Nate Kinsey ECE 695 Quantum Photonics Spring 2014.
Temperature Controller A model predictive controller (MPC) based on the controller proposed by Muske and Rawlings (1993) is used. For the predictions we.
Objectives Discuss final project deliverables Control Terminology
A Closer Look at Energy Demands: Quantification and Characterisation.
Session 5 Geothermal Power Plant. What is Geothermal Energy? Geo (Greek) – earth Thermal - relating to, using, producing, or caused by heat.
Lecture 3: Bridge Circuits
Objectives Finish DOAS Control Terminology Types of controllers
1 Optimal operation of energy storage in buildings: The use of hot water system Emma Johansson Supervisors: Sigurd Skogestad and Vinicius de Oliveira.
Advanced Energy Engineering Technology Modeling Building Energy Systems Session 10: Modeling for ventilation and other energy-consuming equipment.
Thermal Energy Storage Thermal energy storage (TES) systems heat or cool a storage medium and then use that hot or cold medium for heat transfer at a later.
President UniversityErwin SitompulSMI 1/1 Dr.-Ing. Erwin Sitompul President University Lecture 1 System Modeling and Identification
1 Lu LIU and Jie HUANG Department of Mechanics & Automation Engineering The Chinese University of Hong Kong 9 December, Systems Workshop on Autonomous.
DISTRICT HEATING District heating is an infrastructure which allows heat generated in a centralized location to be distributed to residential homes and.
IEEE International Conference on Fuzzy Systems p.p , June 2011, Taipei, Taiwan Short-Term Load Forecasting Via Fuzzy Neural Network With Varied.
Energy. 4 Main Types Kinetic Energy (KE) 1.Energy of motion Potential Energy (PE) 1.Stored energy Chemical Energy 1.Energy associated with a chemical.
Systems Dynamics Dr. Mohammad Kilani Class 1 Introduction.
MISS. RAHIMAH BINTI OTHMAN
的 中国科学院工程热物理研究所 Institute of Engineering Thermophysics, Chinese Academy of Sciences 储能研发中心 Energy Storage R&D Center 9 th June 2016 Experimental study.
Green Technologies & Energy Efficiency April 26, 2017
T.W.Scholten, C. de Persis, P. Tesi
CE 3372 Water Systems design
Smruti R. Sarangi IIT Delhi
Date of download: 10/6/2017 Copyright © ASME. All rights reserved.
Controllers and Positioners
T.W. Scholten, C. de Persis, P. Tesi
Mathematical Models for Simulation, Control and Testing
Chemical Engineering Explained
Thermal Energy Storage
ES 211: Thermodynamics Tutorial 5 & 6
Fredrik Bengtsson, Torsten Wik & Elin Svensson
Energy storage in Renewable Energy
Chapter 8 EXERGY: A MEASURE OF WORK POTENTIAL
LOAD MANAGEMENT OF HEAT PUMPS USING PHASE CHANGE HEAT STORAGE
Mechanical Energy Storage
An Engineering Approach
Oddgeir Gudmundsson, Jan Eric Thorsen and Marek Brand
WP 3.1 Flexibility management and control
Linking Geothermal Electricity Generation with Multiple Desalination Processes and Aquifer Storage and Recovery: A method to reduce fossil fuels use and.
Flexible space heating demand for district heating systems
Brent Lowry & Jef Caers Stanford University, USA
Lecture slides adopted by William G. Tanner, Jr., PhD
Chapter 8 EXERGY: A MEASURE OF WORK POTENTIAL
Presentation transcript:

Modeling and Control of Heat Networks with Storage: the Single-Producer Multiple-Consumer Case T. W. Scholten, C. De Persis, P. Tesi 01/2015 Introduction Controller In heat networks, energy storage is a viable approach to balance demand and supply. In such networks, a heat carrier is used in the form of water, where heat is injected and extracted through heat exchangers. The network can transport heated water and store it in a storage tank to shift loads in time. Heat injection Flow rates Output regulation theory Flow producer Exo-system Plant Controller Output Asymptotic convergence District heating Causes plant to be time varying Fixed flow consumers Heat injection through heat exchanger Volume deviation Storage with stratified water tank Existence is proven Simulations Thermocline with steep temperature gradient Time varying Demand Heat extraction through heat exchangers Increased demand Store to 900 𝑚 3 Drain to 100 𝑚 3 Control problem Control goal Let volume 𝑉 𝑠 ℎ and temperature 𝑇 𝑠 ℎ converge to specified setpoints 𝑉 𝑠 ℎ ∗ and 𝑇 𝑠 ℎ ∗ Keep hot layer at 90 degrees Control input Flow rates 𝑞 & Heat injection 𝑃 𝑝 Low heat injection due to drainage Demand Unknown, Time varying, Generated by an exo-system Conclusions A model for a district heating system is derived and a controller regulating the flows and temperature is designed. It is proven that the volume converges exponentially fast to the desired volume and the temperature error converges asymptotically to zero. The proposed controller is therefore able to regulate the energy level to the desired energy level despite time varying demand. Furthermore the existence of such a controller is also proven. In a future investigation we would like to extend this setup to multiple producers, multiple storage devices with different operating temperatures. References Skogestad, S. (2009). Chemical and energy process engineering. CRC press Boca Raton. Isidori, A. et al. (2003). Robust autonomous guidance: an internal model approach. Springer. De Persis, C. et al. (2014). Output Regulation of Large-Scale Hydraulic Networks. Control Systems Technology, IEEE Transactions on. Hangos, K. et al. (2004). Analysis and control of nonlinear process systems. Springer.