SA/SNZ TS 61724.3:2020
Photovoltaic system performance - Part 3: Energy evaluation method
Objective of this Technical Specification is to define a procedure for measuring and analysing the energy production of a specific photovoltaic system relative to expected electrical energy production for the same system from actual weather conditions as defined by the stakeholders of the test. The energy production is characterized specifically for times when the system is operating (available); times when the system is not operating (unavailable) are quantified as part of an availability metric. This Technical Specification is an adoption with national modifications, and has been reproduced from, IEC TS 61724-3:2016 Photovoltaic system performance - Part 3: Energy evaluation method.
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SA/SNZ TS 61724.3:2020 Photovoltaic system performance Energy evaluation method (IEC TS 61724-3:2016, MOD)
CONTENTS
FOREWORD
INTRODUCTION
1 Scope
2 Normative references
3 Terms and definitions
4 Test scope, schedule and duration
5 Equipment and measurements
6 Procedure
6.1 Overview
6.2 Calculation and documentation of predicted energy and the method that will be used to calculate the expected energy
6.2.1 General
6.2.2 Definition of test boundary to align with intended system boundary
6.2.3 Definition of the meteorological inputs used for the prediction
6.2.4 Definition of the PV inputs used for the prediction
6.2.5 Definition of measured data that will be collected during the test
6.2.6 Definition of the model calculations
6.2.7 Predicted energy for the specified system and time period
6.2.8 Uncertainty definition
6.3 Measurement of data
6.4 Identification of data associated with unavailability
6.5 Identification of erroneous data and replacement or adjustment of such data and preparation of model input dataset
6.5.1 General
6.5.2 Data checks for each data stream
6.5.3 Shading of irradiance sensor
6.5.4 Calibration accuracy
6.5.5 Final check
6.5.6 Using data from multiple sensors
6.5.7 Substitution of back-up data for erroneous or missing data
6.5.8 Out-of-range data or data that are known to be incorrect
6.5.9 Missing data
6.5.10 Partially missing data or partial unavailability
6.5.11 Curtailment because of external requirement
6.5.12 Inverter clipping (constrained operation)
6.5.13 Planned outage or force majeure
6.5.14 Grid support events (e.g. deviation from unity power factor)
6.6 Calculation of expected energy
6.6.1 General
6.6.2 Measure inputs
6.6.3 Acceptability of data
6.6.4 Time interval consistency
6.6.5 Time stamp alignment
6.6.6 Calculate expected energy during times of unavailability
6.6.7 Calculate expected energy during times of availability
6.6.8 Calculate total expected energy
6.6.9 Analyse discrepancies
6.7 Calculation of measured energy
6.8 Calculation of metrics from measured data
6.8.1 Calculation of energy performance index and availability
6.8.2 Calculation of capacity factor
6.8.3 Calculation of performance ratio
6.9 Uncertainty analysis
7 Test procedure documentation
8 Test report
Annex A (informative)Example calculation – Calculations for the energy performance indices
Bibliography
Figure 1 – Schematic showing relationship of predicted, expected,and measured energies to reflect how the model is applied consistentlyto historical and measured weather data
Table 1 – Example PV performance input parameters to the model for the initial prediction
Table 2 – Example table documenting the meteorological and other input parametersto the model for the calculation of the expected energy
Table 3 - Example of data filtering criteria, to be adjusted according to local conditions
Table A.1 – Fictitious data to demonstrate calculation
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SA/SNZ TS 61724.3:2020 Photovoltaic system performance Energy evaluation method (IEC TS 61724-3:2016, MOD)
CONTENTS
FOREWORD
INTRODUCTION
1 Scope
2 Normative references
3 Terms and definitions
4 Test scope, schedule and duration
5 Equipment and measurements
6 Procedure
6.1 Overview
6.2 Calculation and documentation of predicted energy and the method that will be used to calculate the expected energy
6.2.1 General
6.2.2 Definition of test boundary to align with intended system boundary
6.2.3 Definition of the meteorological inputs used for the prediction
6.2.4 Definition of the PV inputs used for the prediction
6.2.5 Definition of measured data that will be collected during the test
6.2.6 Definition of the model calculations
6.2.7 Predicted energy for the specified system and time period
6.2.8 Uncertainty definition
6.3 Measurement of data
6.4 Identification of data associated with unavailability
6.5 Identification of erroneous data and replacement or adjustment of such data and preparation of model input dataset
6.5.1 General
6.5.2 Data checks for each data stream
6.5.3 Shading of irradiance sensor
6.5.4 Calibration accuracy
6.5.5 Final check
6.5.6 Using data from multiple sensors
6.5.7 Substitution of back-up data for erroneous or missing data
6.5.8 Out-of-range data or data that are known to be incorrect
6.5.9 Missing data
6.5.10 Partially missing data or partial unavailability
6.5.11 Curtailment because of external requirement
6.5.12 Inverter clipping (constrained operation)
6.5.13 Planned outage or force majeure
6.5.14 Grid support events (e.g. deviation from unity power factor)
6.6 Calculation of expected energy
6.6.1 General
6.6.2 Measure inputs
6.6.3 Acceptability of data
6.6.4 Time interval consistency
6.6.5 Time stamp alignment
6.6.6 Calculate expected energy during times of unavailability
6.6.7 Calculate expected energy during times of availability
6.6.8 Calculate total expected energy
6.6.9 Analyse discrepancies
6.7 Calculation of measured energy
6.8 Calculation of metrics from measured data
6.8.1 Calculation of energy performance index and availability
6.8.2 Calculation of capacity factor
6.8.3 Calculation of performance ratio
6.9 Uncertainty analysis
7 Test procedure documentation
8 Test report
Annex A (informative)Example calculation – Calculations for the energy performance indices
Bibliography
Figure 1 – Schematic showing relationship of predicted, expected,and measured energies to reflect how the model is applied consistentlyto historical and measured weather data
Table 1 – Example PV performance input parameters to the model for the initial prediction
Table 2 – Example table documenting the meteorological and other input parametersto the model for the calculation of the expected energy
Table 3 - Example of data filtering criteria, to be adjusted according to local conditions
Table A.1 – Fictitious data to demonstrate calculation
SA/SNZ TS 61724.3:2020
Online Library subscription information
Online library subscriptions provide a cost-effective solution for organisations of any size to access the latest standards, offering 24/7 access to a personalised catalogue. The service ensures subscribers have have the most up-to-date version of selected standards, incluing automatic updates for any amendments or versions. Pricing is dependent on the chosen standards and the number of concurrent users, with discounts applied from the standards PDF price. For customised subscriptions or further inquiries, contact the Online Library team.