ELEC-E Smart Grid Demand Response in HVAC loads

Slides:



Advertisements
Similar presentations
Low Energy Building Design Group B Romain Jauffres, Karen Kennedy, Pedro Ros Zuazua, Ulrich Sanson Embedded Generation.
Advertisements

Institute of Energy & Sustainable Development De Montfort University
University of Liège Faculty of Applied Sciences Thermodynamics Laboratory Workshop “Commissioning and Auditing of Buildings and HVAC Systems” Use of a.
Improved energy efficiency with surface heating and cooling Lars Nielsen Ilari Aho Uponor Group REHVA Supporters’ Seminar Amsterdam, May 14, 2009.
Demand response algorithms for Home Area Networks (HAN) Fabiano Pallonetto Supervised by Dr. Donal Finn and Dr. Simeon Oxizidis 17 May 2013.
Energy storage Prof Phil Banfill Urban Energy Research Group OCTES workshop, 31 st October 2012.
1 Smart control of multiple energy commodities on district scale Frans Koene Sustainable places, Nice, 1-3 Oct 2014.
Domestic Electric Heating Chris Davis Marketing Manager, Glen Dimplex UK Electrex – 17 th May 2006.
Energy use in buildings Dr. Atila Novoselac Associate Professor Department of Civil, Architectural and Environmental Engineering, ECJ
Andreas Oberhofer Research Associate, Global Energy Network Institute (GENI) Energy Storage Technologies & Their Role in Renewable.
© 2008 REGEN Energy Inc. What is Demand Response? Management of electrical consumption Active alleviation of grid stress Load Shedding during peak demand.
High Performance Buildings Research & Implementation Center (HiPer BRIC) December 21, 2007 On-Site Power and Microgrids for Commercial Building Combined.
Demand Response – A New Option for Wind Integration ?
IEA HPP Annex 28 Calculation of compact units Workshop IEA HPP Annex 28 8 th International Heat Pump Conference, Las Vegas, 30 May 2005 Thomas Afjei, Institute.
THERMAL INERTIA FOR SMALL SCALE RESIDENTIAL BUILDING STIJN VERBEKE UNIVERSITY OF ANTWERP UNIVERSITY COLLEGE BAUSIM 2010 CONFERENCE.
Energy efficiency in buildings Monga Mehlwana Tuesday, 05 October 2010.
Earth’s Changing Environment Lecture 15 Energy Conservation.
District heating year District heating and cooling 2014 Heat sales (incl. taxes)2350 mill. € Sold heat energy31,3 TWh Average price.
Efficient gas uses in the residential sector Marc Florette – Member of the Executive Committee June 24 th 2011.
Copyrighted © 2000 PG&E All Rights Reserved TDV Project Residential TDV HVAC Progress Bruce Wilcox Berkeley Solar Group for Pacific Gas & Electric Co.
Energy conservation strategies Buildings energy consumption depends on building envelop, efficiency of HVAC and lighting systems, amount of required fresh.
Task XI Time of Use Pricing and Energy Use for Demand Management Delivery Task Status Report April 2006 Richard Formby.
Energy Design of Buildings using Thermal Mass Cement Association of Canada July 2006.
Energy Consumption Calculations Group 4a. Contents 1.Introduction 2.Methods 3.Tools 4.Country specific variations a.Finland b.Other Nordic countries c.Italy.
The Power of Data October 2013 Abhay Gupta 1.
SAHPA ® South African Heat Pipe Association Energy Postgraduate Conference EPC2013, Aug 2013 iThemba LABS Theoretical modeling and experimental verification.
Frankfurt (Germany), 6-9 June 2011 Thermo-electrical load modelling of buildings for assessment of Demand Response (DR) based on Heating Ventilation and.
Lecture Objectives: Analyze several modeling problems –Examples from the final project list Economizer Solar collectors Phase change thermal storage materials.
SPACE AND WATER HEATING SYSTEM SMART RENEWABLE ENERGY STORAGE NEIL STEWART MANAGING DIRECTOR DIMPLEX RENEWABLES.
PowerPoint Presentation Prepared by Yiding Cao, Professor Department of Mechanical and Materials Engineering, FIU Textbook: McQuiston, F.C., Parker, J.D.,
Background Data Centre (DC) energy consumption doubled between 2000 and 2005 and grew by 50% from 2005 to 2010, consuming 1.5% of global primary energy.
Chapter 1: Roles and Opportunities for Information Technology in Meeting Sustainability Challenges Helynranta Viola Parkkila Vilma
Announcement: The Course Test is Net week ! On Wednesday, October 12 It starts at 1 pm sharp.
OPTIMUS SCEAF & Tracker
Technology Development
Improving Building Hygrothermal Performance through Advanced Application of Building Materials: a Holistic Approach towards Mould Growth Prevention.
Building Environmental Systems
Energy year 2015 District Heat.
Dr. Alem Tesfai Renewable Energy Consultant, CIBSE
Specifics of multi-apartment building deep complex retrofitting
Comparison of THREE ELECTRICAL SPACE HEATING SYSTEMS IN LOW ENERGY BUILDINGS FOR SMART LOAD MANAGEMENT V. Lemort, S. Gendebien, F. Ransy and E. Georges.
Overview of current thoughts
Transition towards Low Carbon Energy Monday 12th June 2017
Features of the GAHP technology
Smart Air-Conditioning for Smart Grid
Why Choose a Smart Building?
RealValue H2020 Overview RealValue project funded under H2020 LCE 8 – 2014: Local / small-scale storage Commenced 1st June 2015 (duration 36 months) EU.
Self-Sustaining and Energy Efficient Buildings in Residential Areas
MS Thesis Synopsis By Raheela Saleem Department Of Computer Science Gift University Dr Fahad Javeed.
Energy Saving Concepts and Opportunities in Foundry (A case Study)
Why Local Energy Systems are Essential for a Low Carbon Future
Module 40 Planning Our Energy Future
Unlocking Demand Contribution to Distribution Network Management
2500 R Midtown Sacramento Municipal Utility District
Flexible space heating demand for district heating systems
WESTERN REGIONAL WORKSHOP
SCORES project presentation
Edwin Kowalczyk Oscar Lindblom
Arslan Ahmad Bashir Student No
ELEC-E Smart Grid 17. Demand response of commercial loads
ELEC-E Smart Grid Demand response in power system energy balance management Teemu Manner
Juha Myllylä Tuomas Soinio
Ventilation heat recovery
How much would you be willing to pay to not have your morning coffee?
Juha Piipponen Joonas Saarela
ELEC-E Smart Grid Demand Response of EV Loads
Objective of todays leacutre
ELEC-E Smart Grid Smart Meters and Security Issues
ELEC-E Smart Grid Demand response of commercial loads
Konsta Ruokosuo Aitor Ossa
Presentation transcript:

ELEC-E8423 - Smart Grid Demand Response in HVAC loads Tuomas Kallio Sauli Sipilä 16.04.2019

Introduction Demand Response (DR) is one way to integrate intermittent renewable production to power system DR is generally defined as timely shifting of loads from high power price hours to more affordable hours, or momentary changing of load to maintain balance between production and consumption Heating, ventilation and air conditioning (HVAC) loads are considered most suitable for DR 16.04.2019

HVAC load potential Small fluctuation in indoor temperature is undetectable, and moderate fluctuation is acceptable Depending on the source, usually ±1-2 C Heating (or cooling) power set point does not instantly reflect to indoor temperature Part of the heat is stored to building mass 16.04.2019

HVAC load potential In Finland, over 10 % of electricity is used to space heating and domestic hot water (DHW) Progress in HVAC DR impacts to the entire power system Also DH networks provide a way to balancing the electrical grid Power-to-heat More efficient CHP production 16.04.2019

Downward and Upward potential of HVAC 1/2 16.04.2019

Downward and Upward potential of HVAC 2/2 Load reduction potential of simulated residential HVAC load (Spring) Potential of HVAC load to function as a power sink (Spring) 16.04.2019

Implementation Smart metering, advanced control system and two-way communication are required for implementation Several business models have been developed for DR, but no unanimous opinion which is the best model to proceed with 16.04.2019

Conclusions HVAC loads are most suitable for DR given the thermal inertia and acceptable temperature fluctuation As a DR application HVAC loads have both upward and downward potential DR can be a useful tool when dealing with VRES, but if considerable amounts of VRES are introduced to the power system, other means of load management are also needed 16.04.2019

Source material used M. Ali, A. Safdarian, and M. Lehtonen. Demand response potential of residential HVAC loads considering users preferences. 2014. ISBN: 978-1-4799-7720-8. Energiateollisuus. Energiavuosi 2018. 2019. Available: https://energia.fi/ajankohtaista_ja_materiaalipankki/materiaalipankki/energiavuosi_2018_-_sahko.html. Accessed 15.4.2019. Suomen virallinen tilasto. Asumisen energiankulutus. ISSN: 2323-3273. Tilastokeskus. Available: http://www.stat.fi/til/asen/index.html. Accessed 15.4.2019. Mubbashir Ali. Domestic Space Heating Load Management in Smart Grid: Potential Benefits and Realization. 2016. ISSN: 1799-4942. N. Kampelisa, A. Ferranteb, D. Kolokotsaa, K. Gobakisa, L. Standardib, C.Cristalli. Thermal comfort evaluation in HVAC Demand Response control. 2017. DOI: 10.1016/j.egypro.2017.09.587. 16.04.2019