ENERGY STORAGE Integrating Renewables thanks to Consumers Flexibility 1
Introduction to Energy Pool The leading European Demand Response Operator YOUNG, FAST DEVELOPING COMPANY 2009 2010 2013 Company set up in France Strategic partnership with First operations in Belgium & UK 2014 First operations in Cameroon, Japan & Norway 2015 70 employees Deployment in 4 countries 1 st DRMS sales RECOGNISED FIELDS OF EXPERTISE Regulatory & DR Product design DR Operations Customer Enrollment IT OPERATING CENTERS 1,500 MW managed 24/7 Chambéry Tokyo Douala London R&D programs Renewable integration through DR Electric vehicle and DR Electrical storage and DR Microgrid & complex sites 2
What is Demand Response? Aggregate flexibilities... to deliver a reliable service to the electricity grid Individual flexible capabilities MW time System needs Simple needs Energy Extract capacity & aggregate Operate & optimise value DR operator Complex needs Identify and value flexibilities Limit operational and financial risks Handle DR products complexity Enhance reliability through pooling effect Increase DR participation in the markets 3
What is Demand Response? What is Commmercial & Industrial Demand Response? Energy Pool core business Industry Commercial / Buildings Residential Individual curtailment capacities Speed of implementation Large Small Very small Fast Slow Very slow MW acquisition cost Low Medium High Annual availability 8000 h/ year 1000-8000 h/year Less than 1000 h/ year End-user priority Production schedule, orders Customer service Comfort, health Curtailable process complexity High Low Low 4
Energy Capacity Interruptible load avoid blackout Frequency control manage continuous variations Different DR products to address different system needs DR offers a wide range of services covering all system needs Short term safety Capacity (long term safety): choosing between DR or new investment in production? Safety reserve react to loss of power plant, line Flexible Capacity To secure energy supply anytime 24/7 Peak capacity secure long term energy supply (winter/summer peak) Reduce or cancel energy shortages Response time Unplanned Scheduled 5 15 30 H-2 J 00h00 + - Load curtailment Peak or flexibility Load shifting use the unavoidable energy Peak day load reduction (EJP) Real time balancing Asset optimization Price signal for BRP 5
Introduction Today s French Generation Mix Current generation share in France: 125 GW 483 TWh Installed Capacity in 2015: 125 GW with 14 GW of RE* (11%) Estimated Energy Generation in 2015: 483 TWh with 26 TWh of RE* (5%) 14 GW 11% Capacity 26 TWh 5% Energy CO 2 Emission: France produces 11 times less CO 2 than Germany *RE = Solar + Wind (ex. hydro) 6
Introduction Evolution of French Generation Mix 2030 Obj: RE accounts for 30% of total energy generation (including 15% of hydro) => In 15 years, RE will generate 3 times more energy than today 7
Introduction Macro View: RE Generation vs Consumption => RE Generation not in phase with Consumption! 8
Introduction So what? A Typical Issue 2.2% of the total wind energy were curtailed in Ireland in 2011 The curtailment occured during the night because of low consumption and high wind power penetration 100 90 80 70 Curtailment Why do we curtail wind farms? Main reasons: Low electricity consumption during high power generation System Stability (wind is unpredictable and contributes to make the grid weaker) Operating Reserve (wind cannot generate reserve: «take energy or leave it») In Ireland, the share of wind power is 15% What will happen if the share is 20%? More curtailment (~25%) 60 50 40 30 0 5 10 15 20 25 30 Hours => RE energy will be curtailed more than 25% of the time if we do nothing! 9
Solutions What could be the solution? Store electricity in a battery at low demand and high RE generation Restore electricity from the battery for high demand & low RE generation 10
Solutions What could be the solution? but several other solutions may co-exist Such as «Demand Response» or «Demand Flexibility Management» What is the best solution for introducing large amounts of renewable energy in the European networks? Results of a survey among North American utilities and suppliers of Smart Grid technologies: DR ranked as the 2 nd solution 11
Demand Flexibility as Storage Facility The «Storage» Solution by Energy Pool A Storage Facility can be: A electrochemical battery (Li-Ion or so on) at minimum 350$/kWh (Tesla) «A existing consumer able to store energy with a low cost instrumentation» What kind of consumers could store energy? More than 5GW of consumers able to store energy is already existing in France!! Thermal Energy Stored Potential Energy Stored 12
Demand Flexibility as Storage Facility Comparison Battery/ Consumers P(kW) Battery Water Supply Distribution System Battery charging P(kW) Water charging P(kW) Battery dischar ging t ToU Strategy Consumption Consumers have the same behaviors as a Storage Facility P(kW) Water charging Water dischar ging t Battery charging Power shift t Market based Strategy Consumption Solar generation 13
Some Economics Comparison Battery/ Consumers Battery Water Supply Distribution System Battery Cost: 3500$/10kWh (Tesla annoucement) Cost for a 1MW/1MWh Battery: 350k$ Instrumentation cost for a 1MW Flexibility at the consumer side: 35k$ Store Energy in existing consumers is 10 times cheaper than the cheapest battery!! 14
Conclusion Demand Flexibility as the Low Cost Solution to RE High Penetration of Renewables will require Demand Flexibility or integration of new assets like battery Existing consumers could behave like batteries from a grid point of view Flexible consumers able to store energy could be an alternative to expensive electrochemical battery Subsidies should be shared between flexible consumers willing to instrument their process and participate to RE balancing, and battery industry Demand Flexility RE Generation 15
ANNEXE 16
What is Demand Response? Industrial DR is the most cost-effective option to meet peak demand Annualized /MWh Example of a cost structure of a traditional peaking plant vs. electric load curtailment 250 h 500 h Operating hours 17
Aggregation benefits Portfolio effect increases DR potential and reliability [1/2] Data set #1 1 cement plant DR assets curtailable load profile over 6 months Data set #2 4 other cement plants Data set #3 1 phosphate producer DR assets corresponding curtailable load duration curve DR assets reliable @ 95% 2MW 2MW 0,5MW 18
Aggregation benefits Portfolio effect increases DR potential and reliability [2/2] Pool effect Statistical benefits: DR assets with low availability at a certain point of time are compensated with DR assets with higher availability at the same time + + 2MW 2MW 0,5MW x3 15MW 19
Comparison Battery/Consumers Type of Services provided Electric supply Anciliary service Grid system End-user/utility Renewable integratoion Service Electric energy time-shift Electric supply capacity Load following Area regulation Electric supply reserve capacity Voltage support Transmission support Transmission congestion relief Transmission & distribution (T&D) upgrade deferral Distribution support Time-of-use energy cost management Demand charge management Electric service reliability Electric service power quality Renewables energy time-shift Renewables capacity firming Wind generation grid integration Battery Consumers 20
Introduction Macro View: Wind Generation vs Consumption DEC NOV JAN ind generation orecast for 2018 OCT FEB SEPT MARCH Consumption forecast for 2018 AUG APRIL JUL MAY JUN => Wind generation partially in phase with consumption 21
Introduction Macro View: Solar Generation vs Consumption DEC NOV JAN olar generation orecast for 2018 OCT FEB SEPT MARCH Consumption forecast for 2018 AUG APRIL JUL MAY JUN => High solar generation when low consumption 22