Pilot Panel: ELSA Use Cases

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Lora Hodges
6 years ago
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1 Pilot Panel: ELSA Use Cases Presenter: Moderator: Panellists: Massimo Bertoncini, Engineering Ludwig Karg, B.A.U.M. Consult GmbH Ella Etienne, Green Soluce Sarah O Connell, UTRCI Massimo Cresta, ASM Terni Thomas Eberl, egrid Anica Berthold, RWTH Aachen Petar Mihaylov, Nissan

2 Use cases: We need to Stack Services Services for Building & District + Services for The Grid Decreasing costs and increasing self-consumption Optimizing local grid operation Maintaining stability of electricity system ELSA midterm conference: pilot panel 2

Use cases for Building and District Level

optimization Provide DR autoconsumption at

subscription cost optimization Provide DR

smoothing Decreasing costs and increasing

purchase time shifting Participation to the

3 Use cases for Building and District Level Provide DR CO2 minimization for district optimization Provide DR autoconsumption at building level Peak shaving for power subscription cost optimization Provide DR cost minimization at building level PV power smoothing Decreasing costs and increasing self-consumption Provide DR auto-consumption for district optimization Provide flexibility for building and district Energy purchase time shifting Participation to the energy trade market ELSA midterm conference: pilot panel 3

Use cases for Local Grid Level Reactive power

Dynamic reactive power control Optimizing local grid

filtering Provide flexibility for building & district

4 Use cases for Local Grid Level Reactive power compensation Peak shaving to reduce peak loads Dynamic reactive power control Optimizing local grid operation Power quality power balance Active harmonic filtering Provide flexibility for building & district PV power smoothing ELSA midterm conference: pilot panel 4

Use cases for Transmission Grid Level Primary reserve provided by a district Maintaining stability of electricity system Provide DR cost minimization for district optimization

5 Use cases for Transmission Grid Level Primary reserve provided by a district Maintaining stability of electricity system Provide DR cost minimization for district optimization Primary reserve provided by a building Balance group optimization (compensating forecast errors) Dynamic reactive power on Local Level ELSA midterm conference: pilot panel 5

6 Pilot Installations Pilots resemble all important use cases for small and medium storage solutions ELSA midterm conference: pilot panel 6

ELSA Services for Europe Provide DR auto-consumption for district optimization Provide DR auto-consumption at building level Energy purchase

Power quality power balance Dynamic reactive power control Reactive power compensation Power quality active harmonic filtering Participation to

building level PV power smoothing Provide flexibility for building and district Peak shaving cons.

7 ELSA Services for Europe Provide DR auto-consumption for district optimization Provide DR auto-consumption at building level Energy purchase time shifting Peak shaving for power subscription cost optimization Provide DR CO 2 minimization for district optimization Primary reserve Power quality power balance Dynamic reactive power control Reactive power compensation Power quality active harmonic filtering Participation to the energy trade market Balance group optimization Provide DR cost minimization for district optimization Provide DR cost minimization at building level PV power smoothing Provide flexibility for building and district Peak shaving cons. to reduce peak loads in peak hour Request and delivery of Peak Shaving service District provides primary reserve DSO manages reactive power compensation ELSA midterm conference: pilot panel 7

8 ELSA Pilot Site Aachen A district represented by the multi-disciplinary research institution of RWTH Aachen University. Three buildings and a Wind Turbine equipped with a Battery to optimize the power consumption. Representative: Anica Berthold, RWTH Aachen ELSA midterm conference: pilot panel 8

9 E.ON Energy Research Center goal setting Optimize power consumption on the campus of the E.ON ERC 3 buildings (main building, test hall, sense building) small wind turbine trial Provide DR auto-consumption for district optimization Provide DR cost minimization for district optimization Provide DR CO 2 minimization for district optimization challenges o Aggregation of the flexibility o Communication infrastructure o Control algorithms ELSA midterm conference: pilot panel 9

district with office buildings and warehouses Representative:

10 ELSA Pilot Site Terni 25% of the city s electricity demand covered by RES 240 kwp PV farm plus battery storage to supply district with office buildings and warehouses Representative: Massimo Cresta, ASM Terni ELSA midterm conference: pilot panel 10

11 ASM Terni goal setting Mitigate and smooth the fluctuating power output generated by a PV farm to follow DSO demands. District with office buildings and warehouses along a low voltage branch owned by ASM Terni Nearby plane field PV 240 kwp connected to low voltage Flexible loads: E-Vehicle charging spots Non flexible loads. buildings lightening and air conditioning Battery. 96 KWh, 18 / 72 kw charge / discharge trial Peak shaving for power subscription cost optimization Providing primary reserve Managing power quality Reactive power control and compensation challenges o Consume energy where it is produced (km0 cost effectiveness) o Reduce disruptions in the low voltage network (quality of service) o Increase the sustainability in the energy management (less impact) ELSA midterm conference: pilot panel 11

direct consumption Representative: Thomas Eberl,

12 ELSA Pilot Site Kempten i. Allgäu Existing residential area with six multi-family houses (81 apartments) solar panels on 3 houses plus district storage system for direct consumption Representative: Thomas Eberl, egrid applications & consulting GmbH ELSA midterm conference: pilot panel 12

13 City of Kempten i. Allgäu goal setting Maximize a district s auto-consumption while mitigating and smoothing the fluctuating power generated by roof top PV 37,1 kwp PV No flexible loads Battery in substation: 66 kwh, 18 / 72 kw max charge / discharge trial Increasing self-consumption Providing primary reserve PV-power smoothing DSO manages the Reactive Power Compensation Balance group optimization Participation to energy trade market challenges o Legal restrictions in cooperation of owners and DSO o Fitting battery system in substation building o Safety level and users anxiety ELSA midterm conference: pilot panel 13

ELSA Pilot Site Gateshead College Skills Academy for

700 m2 training centre photovoltaic roof top system with 50

to the existing building management system Representative:

14 ELSA Pilot Site Gateshead College Skills Academy for Sustainable Manufacturing and Innovation (SASMI), a m2 training centre photovoltaic roof top system with 50 kwp plus battery system energy management system connected to the existing building management system Representative: Sarah O Connell, UTRCI ELSA midterm conference: pilot panel 14

15 Gateshead College Skills Academy for Sustainable Manufacturing and Innovation (SASMI) goal setting Optimise building flexibility to provide services to the grid Develop training to support deployment of distributed storage Sensors, meters & BMS Flexible loads: HVAC, door curtain Non flexible loads: lighting, equipment, plug loads Battery: 48 kwh, 9 / 36 kw max charge / discharge trial Peak shaving Energy purchase (load) time shifting DR: Cost minimisation DR: Auto consumption DR: Flexibility challenges o Optimised co-ordination & scheduling of multiple sources o Smart grid enabled ICT platform integration ELSA midterm conference: pilot panel 15

16 ELSA Pilot Site Paris 10 floor office building in la Défense, an important business area of Paris Sustainable and innovative solutions at the core of the project Representative: Ella Etienne, Green Soluce ELSA midterm conference: pilot panel 16

17 Ampere Building, Paris goal setting Proof potential of batteries for self-consumption and grid services Currently in the final phase of construction by SOGEPROM trial Demand response to maximize auto-consumption at building level Peak shaving for power subscription cost optimization on building and district level Providing flexibility for building and district challenges o Satisfy the stringent safety and security specifications in critical office environment o Optimise user comfort at all times o Highlight benefits for a real estate investor ELSA midterm conference: pilot panel 17

18 ELSA Pilot Site Barcelona m2 manufacturing plant with an annual energy consumption of more than MWh 300 kwp PV parking system plus 1000 kwh battery storage for optimisation of the factory lighting Representative: Petar Mihaylov, Nissan ELSA midterm conference: pilot panel 18

19 Nissan Barcelona Plant goal setting Optimise use of PV power for building lighting Battery: 42 Nissan EV battery packs (1,000 kwh total capacity) trial Energy purchase time shifting (Arbitrage) to minimize the cost of the electricity consumption of part of the factory lighting Peak shaving will be tested to lower the power subscription cost PV power smooting will be tested targeting 0% loss of the Photovoltaic production System will not respond to signals of external actors but apply charge/discharge algorithms in an autonomous way challenges o The regulation in Spain is not very clear regarding the use of battery storage. Possible penalties and fees ELSA midterm conference: pilot panel 19

20 Contact: Ludwig Karg B.A.U.M. Consult GmbH ELSA midterm conference: pilot panel 20

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