Technical Information Average Efficiency of the SMA Flexible Storage System

Similar documents
Energy storage kits for residential and commercial customers. Ken Hobbs Technical Director, CCL Components Dean Kalek Technical Trainer, SMA Solar UK

Planning Guidelines SMA SMART HOME

SMA FLEXIBLE STORAGE SYSTEMS. SMA Solar Technology AG

Planning Guidelines SMA SMART HOME The System Solution for Greater Independence

Planning Guidelines SMA SMART HOME The System Solution for more Independence

Technical Information Control of the Active Power Feed-In at the Grid-Connection Point with the SMA CLUSTER CONTROLLER

SMA FLEXIBLE STORAGE SYSTEM

SOLON SOLiberty Energy Storage Solution. Greater Independence Through On-site Consumption.

Total number of PV modules: 42 Energy usability factor: 99.9 % Number of PV inverters: 1

Design of Off-Grid Systems with Sunny Island 4.4M / 6.0H / 8.0H Devices

Technical Information Temperature Derating for Sunny Boy and Sunny Tripower

TIME OF USE CORRECTLY SETTING BATTERY CONTROL PARAMETERS

SUNNY BACKUP System. Solar Power Even in the Event of Grid Failure

SMA INTEGRATED STORAGE SYSTEM

Technical Information SUNNY BOY / SUNNY TRIPOWER Temperature Derating

Technical information SUNNY BOY SMART ENERGY / SUNNY BOY STORAGE / SUNNY ISLAND

Produce your. current. by yourself. There is no easier way!

Planning Guidelines SMA FLEXIBLE STORAGE SYSTEM WITH BATTERY-BACKUP FUNCTION

HOPPECKE sun powerpack premium

PV*SOL 5.0 standalone Simulation of a Stand-Alone AC System

Solar inverter AX-series

Hub-4 / grid parallel - manual

This report contains an analysis of the savings which have been achieved as a result of the installation.

GS-100+ Preconfigured Kits

Residential Solar + Storage Backup Power Solutions. T.J. Merrill We power what s next

Renewable Energy Catalogue

100W Basic Kit (GS-100-Basic)

Catch Eco Range : Technical Specification Sheet

Store your own energy

Clarifications Note 2 ITB GP

System Advisor Model (SAM) SimpliPhi Power Battery Modeling Instructions

:34 1/15 Hub-4 / grid parallel - manual

Customers with solar PV units in NSW producing and consuming electricity

Irrigation energy efficiency How to analyse your energy costs. Nick Bullock The Energy Guys

Hilton Hunkin Senior Application Engineer SMA Solar Technology South Africa

Energy Meters for Solar-Log Product Information

Customers with solar PV units in NSW producing and consuming electricity

Vehicle Scrappage and Gasoline Policy. Online Appendix. Alternative First Stage and Reduced Form Specifications

Increased Self-Consumption with SUNNY ISLAND and SUNNY HOME MANAGER SMA FLEXIBLE STORAGE SYSTEM

Custom Power Solar Radian Battery Energy Storage System

500 / 630 / 720 / 760 / 800 / 850 / 900

ELECTRIC ENERGY STORAGE

Functions and analyzes of the SMA Solar System EnDev-Project Liberia

GOODBYEGRID. Battery Storage Systems. We cut the cost of power. Currently available for purchase in Australia (March 2016) 1.

Role of solar PV prosumers in enabling the energy transition towards a fully renewables based power system for India

Optimum Combination of Photovoltaics and Batteries to Substitute Diesel Generators

Technical Series, Edition 16

OVERSIZING WHITEPAPER

Rate Impact of Net Metering. Jason Keyes & Joseph Wiedman Interstate Renewable Energy Council April 6, 2010

Residential profile is the public profile provided by DTE on their website for residential customers.

Chapter 1: Battery management: State of charge

Oncor Electric Delivery Distributed Storage and Microgrid Demonstration Projects

TiBox HIGH-END ENERGY. The intelligent energy storage system utilising lithium-titanate

New energy for the future

LARGE SCALE PV DIESEL STORAGE HYBRID SYSTEM DIESEL OFF-MODE, GRID FORMING SCS, ST. EUSTATIUS

Microgrid Storage Integration Battery modeling and advanced control

August 30, 2018, Sasa Bukvic & Michael Ebel SMA Solar Technology AG

Current State of the Renewable Energy in Kyushu Electric Power and Our Future Plan. Kyushu Electric Power Co. Inc. June 8, 2017

Technical and Economic Assessment of Solar Photovoltaic and Energy Storage Options for Zero Energy Residential Buildings

GS-100D+ Preconfigured Kits Manual

Robust High Penetration Micro Grid Solution A Presentation for the PPDIUC

Battery Energy Storage System Fort Carson, Colorado. Air and Waste Management Association West Coast Section 2016 Annual Conference

Solar Technology & Applications Overview. Alexander Wolf Frankensolar Americas Mike Jeffrey Guillevin Greentech

SCC Greenhouse Gas Assessment

[RENEX] [İstanbul, Ekim 2011]

Ampd Silo. Energy Storage System. Maintenance-free Li-ion energy storage for mission critical backup. Power to Empower

Customer engagement for integrating PV in the LV Grid

Annex 1. Field Report: Solar Electric Light Fund Energy Harvest Control Study

How To Set Up SimpliPhi Batteries Using OutBack Chargers

LG Energy Freedom Solution

TiBox HIGH-END ENERGY. The intelligent energy storage system utilising Lithium-Titanate

DANGER. The Conext products below can utilize Load Shedding and Load Shifting:

Energy storage application for self-consumption

ENERGY STORAGE SYSTEM

Large Scale Off-Grid PV-Power Supply with Renewables

Technical Note. Management of Sealed Lead Acid Batteries in Reliable Small DC Standby Power Supply Systems

White Paper. P13008 Net-metering concept for Small Scale Embedded Generation in South Africa. prepared for

Forecast Life-Cycle Cost of solar PV Electrity (LCOE) (RM/ KWhr) VS Future Cost of Electricity from Fossil Fuel (RM/ KWhr)

Minimizing Environmental Impact in Off-Grid Systems

NORDAC 2014 Topic and no NORDAC

Renewable Energy. Presented by Sean Flanagan

Safe, reliable, long lasting Lithium Iron Phosphate battery. Next generation capture and release technology. Increased efficiency for greater savings

Application of claw-back

Sunny Island Generator - White Paper

GRIDCON ACF ESS GREAT COMBINATION ACTIVE FILTER AND ENERGY STORAGE.

Charging of HOPPECKE OPzV solar.power battery in Solar Applications

Impact Evaluation of 2004 Compressed Air Prescriptive Rebates

ELECTRICAL BATTERIES FOR RENEWABLE ENERGY

2016 UC Solar Research Symposium

ANCILLARY SERVICES WITH VRE (VARIABLE RENEWABLE ENERGY): FOCUS PV

Grid Interconnection and Grid Integration Features of PV Inverters

Quick Installation Manual Alpha ESS Battery with SMA Flexible Storage System V1.0

PV Master OPERATION MANUAL

Robust Battery Scheduling in a Micro-Grid with PV Generation Xing Wang, Ph.D. GE Grid Software 2016 March 30, 2016

Guidelines for the Design of Residential and Community Level Storage Systems Combined with Photovoltaics (PV)

The Tools to Engage The Consumer in the Future Utility

Dr. Bernd Engel. Frank Greizer Joachim Laschinski Dr. Mike Meinhardt Dr. Matthias Victor. 20 th European PV Conference Barcelona 2005

DEGERtracker 3000HD / 3000NT / 5000NT Long-term power supplier. DEGERtracker - Dual-axis tracking system

E-Hub : Solar Powered Electric Vehicle Charging Station

Motor Systems Tool (MST)

Transcription:

Technical Information Average Efficiency of the SMA Flexible Storage System The average efficiency of a system for intermediate storage of energy, e.g. of the SMA Flexible Storage System, indicates how efficient this system performs intermediate storage of energy. Currently, however, there are no standardized requirements as to which measured values under which conditions must be used for calculation of the average efficiency. As this document shows with examples, many influencing factors can affect the result of an efficiency calculation. Without standardized requirements, any calculations for the average efficiency of different systems for intermediate storage of energy can only be compared to a limited extent. For this reason, this document provides an insight into the calculation of efficiency and identifies factors that influence the average efficiency of an SMA Flexible Storage System. 1 Calculating the Average Efficiency The average efficiency η of the SMA Flexible Storage System is influenced by the following factors: Efficiency of the Sunny Island when charging Efficiency of the battery Efficiency of the Sunny Island when discharging Energy losses, e.g. in conductors, fuses and control devices Times of no-load operation* All these factors are automatically taken into account if the energy amount taken by the SMA Flexible Storage System from the household grid, E charge, and the energy amount released into the household grid, E discharge, are combined in a ratio. = E ---------------------- discharge E charge Both energy amounts can be read very easily in Sunny Portal on the page Energy Balance, per day, per month and per year. The energy amount E charge is displayed as Battery charging and the energy amount E discharge as Battery discharging. There may be days when the battery is charged but, due to low electrical consumption, it is not discharged. At the end of the day, the total amount of charged energy would still be stored intermediately in the battery. If you use the formula above to determine the average efficiency on such a day, the value would approach zero. On the other hand, there are also days on which the battery is discharged but not charged. If the average efficiency was determined on such a day, the value would approach infinity. Therefore, in order to calculate the efficiency, the energy stored intermediately in the battery must be considered in addition to the charging and discharging energy. * The Sunny Island automatically switches to no-load operation if the battery has been discharged to the lower discharge threshold. This reduces the no-load consumption of the Sunny Island from 27 W to 7 W. Efficiency-FSS-TI-en-10 Version 1.0 ENGLISH

2 State of Charge of the Battery at the Beginning and End of the Measurement SMA Solar Technology AG 2 State of Charge of the Battery at the Beginning and End of the Measurement With the SMA Flexible Storage System, it is difficult to obtain measured values in such a way that the states of charge of the battery are the same at both the beginning and end of the measurement. In order to calculate the efficiency of the SMA Flexible Storage System as independently of the beginning and end states of charge of the battery as possible, the measured values for battery charging and discharging should be much greater than the battery capacity. This is the case, for example, if you use aggregate values over the course of a month or, even better, a year. In contrast, the values averaged over the course of a single day, without taking into account the state of charge of the battery, lead to average efficiencies that are almost meaningless. The state of charge of the battery is thus comparable with the filling level of a fuel tank. If you calculate the fuel consumption of your car by way of the amount of fuel needed to fill the tank, the filling level of the tank must be the same before and after the mileage measurement. The difference in the states of charge between the start and end time of the calculated efficiency enables you to take the energy that is still stored intermediately into account in the calculation. This is explained in more detail below. Figure 1: Energy balance of a real SMA Flexible Storage System from March 4, 2014 (example) 2.1 Calculating the Efficiency Without Taking States of Charge into Account E discharge E charge = ---------------------- On March 4, 2014, the following values were measured related to this day and displayed in Sunny Portal: Battery discharging = E discharge = 3.10 kwh Battery charging = E charge = 5.00 kwh According to the calculation, this results in an average efficiency of η = 62%. 2 Efficiency-FSS-TI-en-10 Technical Information

SMA Solar Technology AG 3 Inaccuracies During Recording of Measured Values 2.2 Calculating the Efficiency Taking the States of Charge into Account Example: With reference to the considered SMA Flexible Storage System, the following values were recorded for the state of charge of the battery: Total battery capacity: Q = 5.50 kwh State of charge of the battery on March 4, 2014 at 0:00 a.m.: SOC start = 38% State of charge of the battery on March 4, 2014 at 0:00 p.m.: SOC end = 53% The state of charge of the battery has risen by 15 percentage points. 15% of the battery capacity of this SMA Flexible Storage System with 5.50 kwh corresponds to energy E delta of 0.83 kwh. If the efficiency is calculated without taking the states of charge into account, the energy E delta is included in the calculation as energy losses. However, the energy E delta is not lost but stored intermediately. The energy E delta can be discharged the next day with the efficiency of the Sunny Island. If the energy amount E discharge is combined with the energy amount E delta, the formula above results in an efficiency of η = 78%. In the example considered here, taking the start and end states of charge of the battery into account means that the result of the calculation is 16 percentage points higher than when the states of charge are not considered. Instead of an efficiency of η = 62%, the result is an efficiency of η = 78%. 3 Inaccuracies During Recording of Measured Values The results of the calculation of the average efficiency are only as accurate as the measured values on which the calculation is based. The measured values for Battery charging and Battery discharging are measured on the AC side of the Sunny Island. The sensors have been optimized for operation of the Sunny Island and not for precise recording of energy amounts. In a car, the average efficiency calculated from the measured values for Battery charging and Battery discharging corresponds to the fuel consumption indication. The fuel consumption indication in the car is based on the measured values of sensors that have not been optimized for the precise measurement of fuel consumption. As a result, there are deviations from the real values, similar to the deviations of the calculated average efficiency from the real average efficiency of the SMA Flexible Storage System. The input current range of the Sunny Island 6.0H / 8.0H is ±120 A. With a measurement accuracy of ±1%, this results in a measurement error of up to 270 W at 230 V AC. Device-internal measures reduce this measurement error to 10 W to 20 W in the long-term average. Within a year, however, the measurement errors can total 90 kwh to 180 kwh. Example: Within a year, the following values are displayed in Sunny Portal for an SMA Flexible Storage System: Battery discharging = E discharge = 1,190 kwh Battery charging = E charge = 1,700 kwh This results in an average efficiency of η = 70%. The measurement error of battery discharging is 90 kwh and the battery discharging is actually E discharge = 1,280 kwh. With 1,280 kwh, this results in an efficiency of η = 75%. In the example, the actual efficiency value is five percentage points higher than the efficiency calculated from the measured values of Sunny Portal. For this reason, when interpreting the average efficiency, the relatively high deviation from the actual efficiency must be taken into account. We can typically assume an error of ±5% here, which in special cases, can amount to ±10%. Technical Information Efficiency-FSS-TI-en-10 3

4 Key Factors Influencing the Real Efficiency SMA Solar Technology AG 4 Key Factors Influencing the Real Efficiency The real efficiency of a system for intermediate storage of energy depends on the design of the system and how it is operated. With the SMA Flexible Storage System, the following factors in particular affect the efficiency of energy transformations and, therefore, the average efficiency: Annual energy requirement Distribution of power drawn from the utility grid throughout the day and the year Installed PV power Position and alignment of the PV system Type and storage capacity of the connected battery The SMA Flexible Storage System is very well suited for an annual energy requirement of 3,000 kwh to 7,000 kwh and for PV systems in Germany with 3 kwp to 10 kwp of installed PV power and batteries of 3 kwh to 10 kwh. The SMA Flexible Storage System operates optimally with an annual energy requirement of 5,000 kwh, a PV generation of 5,000 kwh and a usable battery capacity of 5 kwh or higher. The principle correlations are illustrated by the following three examples. These apply in each case only for the framework conditions defined below the diagram. Example 1: Average efficiency dependent on annual energy requirement Figure 2: Average efficiency of an SMA Flexible Storage System with a Sunny Island 6.0H, a lead-acid battery with a usable battery capacity of 5 kwh and a PV generation of 5,000 kwh per year The annual energy requirement affects especially the behavior of the SMA Flexible Storage System when discharging. The figure shows that the efficiency is significantly reduced with a very low annual energy requirement of under 3,000 kwh per year and is also lower with a very high annual energy requirement. This is partly due to the Sunny Island, which has an optimum efficiency at approximately 30% of nominal power and an optimum operating range between 10% and 50% of nominal power. If the Sunny Island is operated very frequently outside this operating range with a very low energy requirement, the average efficiency drops significantly. The same applies with a very high energy requirement. However, in this case, another effect occurs. The battery efficiency is also very much dependent on the charging and discharging power. The pure battery losses increase quadratically with the charging and discharging current. If the battery is always discharged with relatively high currents, the average battery efficiency decreases. Example 1 shows how the average efficiency decreases in case of a very high annual energy requirement. 4 Efficiency-FSS-TI-en-10 Technical Information

SMA Solar Technology AG 4 Key Factors Influencing the Real Efficiency Example 2: Average efficiency dependent on PV generation Figure 3: Average efficiency of an SMA Flexible Storage System with a Sunny Island 6.0H, a lead-acid battery with a usable battery capacity of 5 kwh and an annual energy requirement of 5,000 kwh The pattern of the average efficiency over the PV generation is very similar to that of the average efficiency over the annual energy requirement. The same principles apply here, with the difference being that the PV generation determines the charging behavior of the SMA Flexible Storage System. Where PV generation is very low, the standby power losses are proportionally very high and result in the average efficiency of the SMA Flexible Storage System being low. Where PV generation is very high, the charging current is very high. In this case, the Sunny Island no longer operates with optimum average efficiency, and the average efficiency of the battery is also lower. Example 3: Average efficiency dependent on usable battery capacity (lead-acid battery) Figure 4: Average efficiency of an SMA Flexible Storage System with a Sunny Island 6.0H, an annual energy requirement of 5,000 kwh and a PV generation of 5,000 kwh per year The usable battery capacity has the clearest influence on the average efficiency of the SMA Flexible Storage System. The internal resistance of a battery decreases on a linear basis with increasing battery capacity. In contrast, the losses increase quadratically with the power upon charging and discharging. In concrete terms, this means that with a battery capacity of 2.5 kwh instead of 5 kwh, the losses in the battery increase fourfold. With lithium-ion batteries, this effect is less significant since these batteries naturally have a significantly lower internal resistance. Technical Information Efficiency-FSS-TI-en-10 5

5 Summary SMA Solar Technology AG The examples show that the real average efficiency of the SMA Flexible Storage System with lead-acid batteries is between 65% and 77%. If two or three of the effects illustrated above occur together, e.g. an annual energy requirement of less than 2,000 kwh, PV generation of less than 2,000 kwh and/or a battery capacity of less than 2 kwh, average efficiencies of 60% are also possible. This correlation can be observed in winter in almost all systems for the intermediate storage of energy. Due to the very low PV yield from November to January, the efficiency in these months is frequently between 50% and 60% and, with increasing use, this increases during the spring and summer months. This is due to the fact that the system for intermediate storage of energy always requires a certain amount of energy for its own operation, whether this is currently being used or not. Frequent use of the intermediate storage of energy with a correspondingly high nominal energy throughput generally improves the efficiency of the entire SMA Flexible Storage System. Similar to a car engine idling, the SMA Flexible Storage System consumes electrical energy independently of whether or how this energy is used. If the battery is frequently charged and discharged, the standby power losses of the Sunny Island and the self discharge of the battery are relatively minor compared to the total nominal energy throughput. The less energy that is stored intermediately in the battery, the more the efficiency of the SMA Flexible Storage System decreases. The standby power losses and the self discharge of the battery have an ever greater effect. In order to minimize the losses on days with very low usage of the battery, the Sunny Island switches to energy-saving mode. This is comparable to the automatic start-stop function in cars. This way, for example, the Sunny Island 6.0H reduces its consumption in no-load operation from 27 W to 7 W. The Sunny Island cannot influence the losses that occur through the self discharge of the battery. In the case of lead-acid batteries, these are only in the range of 3% to 5% per month and therefore hardly relevant. With lithium-ion batteries, the battery management integrated in the battery draws additional energy from the battery. The typical consumption of 5 W and 15 W is relevant here and causes losses of 40 kwh to 130 kwh over the year. The details on self discharge and the efficiency of lithium-ion batteries do not normally take these losses into account. These losses of up to 130 kwh per year can lead to a situation where the efficiency of lithium-ion batteries, which is actually 8% to 10% better, is required in its entirety for the battery management. In extreme cases, the average system efficiency with a lithium-ion battery can even be lower than that with a lead-acid battery. When selecting a lithium-ion battery, care should be taken to ensure that the battery management has a low power consumption (see the documentation of the battery manufacturer). 5 Summary The average efficiency of an SMA Flexible Storage System depends clearly on the design and operation of the system. For this reason, the average efficiency of the battery can deviate from the typical efficiency of 75% in the case of lead-acid batteries and 84% in the case of lithium-ion batteries, e.g. if very little energy can be stored intermediately in the storage system. This case occurs mostly during the winter months but can also be caused by the system design. With a very low annual energy consumption, a very low PV generation or a very low battery capacity, the system too rarely attains the optimum operating point. In such cases, the average efficiency of lead-acid batteries can range from 60% to 65%. For lithium-ion batteries, the average efficiency also depends on the energy consumption of battery management. With electrical consumption of more than 10 W and low nominal energy throughput through the battery, the lithium-ion battery is less efficient than a lead-acid battery with the same usable battery capacity. Calculation of the average system efficiency using the energy values displayed in Sunny Portal for Battery charging and Battery discharging is very easy. However, with values calculated in this way, the energy stored intermediately in the battery must always be taken into account or a large enough time period must be selected so that the error caused by the energy stored intermediately in the battery is not too large. Also, the measurement inaccuracies must also be taken into account when assessing these values. Errors of ±5% are typical here and, in extreme cases, can reach 10%. 6 Efficiency-FSS-TI-en-10 Technical Information