Case Studies on Field Deployment of PV Battery Storage Systems

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Presentation transcript:

Case Studies on Field Deployment of PV Battery Storage Systems Dr. Matthias Vetter Fraunhofer Institute for Solar Energy Systems ISE Seminar: Solar and Storage – Production and Markets in North America Solar Power International Anaheim, 26th of September 2018

Agenda Introduction to Fraunhofer ISE battery system activities and services Quality assurance for storage projects Key factors affecting bankability and insurability Concept and range of services Project examples Conclusions Photo: INES © Pohlen Solar GmbH

Battery systems and applications R&D and services of Fraunhofer ISE Battery system technology From cells to systems Storage applications System design, integration and quality assurance Testing Electrical, thermal, mechanical Photo: CSIRO. Off-grid power supply for SKA1 low radio telescope Cell characterization Module and system design Battery management Thermal management Algorithms for state estimation and life time prediction Optimized charging and operating control strategies Consultancy during planning phase System design and analysis Simulation based storage sizing Elaboration of specifications Energy management systems Site inspections and testing Monitoring Safety: Components, systems including functional safety Aging: Calendric, cyclic Performance: Efficiency and effectiveness Reliability: Consideration of operating conditions and system performance with aged components

Total cost of ownership Quality assurance for storage projects Key factors affecting bankability and insurability Components and systems Functional safety System effectiveness System efficiency Safety Performance Bankability Insurability Cost Reliability Investment cost Total cost of ownership Operating conditions Aged components 4 4

Quality assurance for storage projects Power plants, commercial applications and mini-grids Concept and range of services 5 5

Project examples – System simulation and analyses Commercial PV battery system Levelized cost of consumed electricity Main parameters: PV system: 840 €/kWp Battery system: 600 €/kWh Battery inverter: 215 €/kW Interest rate: 3 %/a 6 6

Project examples – System simulation and analyses Layout and sizing for “Smart Green Tower” in Freiburg 7 7

Cost function / EUR/kWh Project examples – System simulation and analyses Grid connected PV battery power plant Optimal control problem: Maximization of the revenues Optimal dispatch plan for the storage power Revenue / EUR Power / kW Cost function / EUR/kWh SOC / 1 8 8

Project examples – System simulation and analyses PV battery integration into light-rail system at new SC Freiburg soccer stadium Smart sector coupling Efficient DC integration of a PV battery system into the light-rail system of VAG Peak load: Up to 950 kW Energy consumption: ~ 1 MWh / day PV battery system: 750 kWp and 55 kWh can cover in average 60 % of required power Via direct marketing to VAG economics of the PV battery system can be improved 9

Project examples – System simulation and analyses Layout and sizing of PV mini-grid for SKA1 low radio telescope Design proposal Central power plant powering 80 % of total telescope load (2.4 MW in average) PV system: 17 MWp Lithium-ion battery storage: 40 MWh / 5.5 MW Diesel genset: 3.2 MW 20 % outermost antenna clusters Powered locally 15 RPFs (distance from CPF > 10 km) LCOE: ~ 0.307 €/kWh 10 10

Project examples – System testing: Efficiencies PV self-sufficiency systems Programmable AC load Test system (Labview) with data acquisition (Gantner / Janitza) PCS Battery Grid Smart-meter PV -> GRID PV -> BAT BAT -> GRID PV Simulator: 16 kW 1000V DC 11

Project examples – System testing: Effectiveness PV self-sufficiency systems Avg. Settling time BAT A: 8.37s ; BAT B: 45.14s BAT C: 20.61s ; BAT D: 6.48s Settling time of battery system (PV varying, load constant) Settling time of battery system (PV constant, load varying) Avg. Settling time BAT A: 8.11s ; BAT B: 38.33s BAT C: 23.37s ; BAT D: 6.03s 12

Battery storage 120 kW / 150 kWh Project examples – Monitoring and system evaluation District storage system – “Weinsberg” DSO Boarder of property Optimization criteria: Minimization of grid dependency – Physically not only accumulated LSO PV system 142 kWp Current sensor Loads CHP unit 6 -12 kWel Heat pump 25, 35 and 45 kWel Source: derena Battery storage 120 kW / 150 kWh 13 13

Project examples – Monitoring and system evaluation District storage system – “Weinsberg” Battery storage Normalized charge per day [% of CN] Normalized discharge per day [% of CN] Daily average energy efficiency [%] Annual average values: Charging with 67 % of nominal capacity Discharging with 54 % of nominal capacity Energy efficiency: 81 % Calendar week 2015 / 2016 14

Conclusions Large-scale integration of fluctuating renewable energies in power supply systems require storage Isolated mini-grids Grid-connected applications Integration of battery storage requires several steps of quality assurance enabling bankable projects: From detailed analyses of load pattern to system simulation and application specific system design From characterization of components and systems in the laboratory to system testing in the field as well as quality monitoring “Real world” projects with battery storage: No long-term experience with “new” cell technologies Field results still show huge optimization potential Component and system level 15

Thanks for your attention !!! Fraunhofer Institute for Solar Energy Systems ISE Dr. Matthias Vetter www.ise.fraunhofer.de matthias.vetter@ise.fraunhofer.de