Difference between revisions of "Design parameter overview"

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*'''[[Days of autonomy parameter]]:''' Parameter that determines the number of days that the system will be able to meet energy needs without additional charging.
 
*'''[[Days of autonomy parameter]]:''' Parameter that determines the number of days that the system will be able to meet energy needs without additional charging.
 
*'''[[System voltage parameter]]:''' Parameter for the nominal voltage for the direct current (DC) system.
 
*'''[[System voltage parameter]]:''' Parameter for the nominal voltage for the direct current (DC) system.
 +
*'''[[Energy storage efficiency parameter]]:''' Parameter for the round-trip efficiency (energy in:energy out) of the [[Energy storage|energy storage system]].
 
*'''[[Charge controller efficiency parameter]]:''' Parameter for the  estimated efficiency of the type of charge controller that is anticipated to be used with the system.
 
*'''[[Charge controller efficiency parameter]]:''' Parameter for the  estimated efficiency of the type of charge controller that is anticipated to be used with the system.
 
*'''[[Module degradation parameter]]:''' Parameter for the estimated degradation of [[PV module|PV modules]] over time.
 
*'''[[Module degradation parameter]]:''' Parameter for the estimated degradation of [[PV module|PV modules]] over time.

Revision as of 13:25, 12 November 2020

The design process requires the person performing the design to select values for various different design coefficients that will be used through the rest of the design process. Some of desiggn coefficients have values that are recommended based upon industry practices, but there are others that will require the designer to make a determination that strikes the right balance between the available weather and solar resource, load and usage estimates, and budget vary for each off-grid PV project. Different values for critical coefficients like Depth of Discharge, Days of Autonomy, and System voltage should be tested during the design process to find the optimal design for the system.