From bf0ee84a0f262920045b2bdb42cb314368f7c1e5 Mon Sep 17 00:00:00 2001 From: Michael Deceglie Date: Wed, 23 Sep 2020 15:54:22 -0600 Subject: [PATCH 1/3] Update overview --- docs/sphinx/source/index.rst | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/docs/sphinx/source/index.rst b/docs/sphinx/source/index.rst index 704f3453..ad3e01c7 100644 --- a/docs/sphinx/source/index.rst +++ b/docs/sphinx/source/index.rst @@ -17,7 +17,8 @@ time series data from photovoltaic energy systems. The library aims to provide best practice analysis routines along with the building blocks for users to tailor their own analyses. Current applications include the evaluation of PV production over several years to obtain -rates of performance degradation and soiling loss. RdTools can handle +rates of performance degradation and soiling loss. It also includes the capability to +analyze systems for system- and subsystem-level availability. RdTools can handle both high frequency (hourly or better) or low frequency (daily, weekly, etc.) datasets. Best results are obtained with higher frequency data. @@ -27,11 +28,12 @@ Full examples are worked out in the example notebooks in the To report issues, contribute code, or suggest improvements to this documentation, visit the RdTools development repository on `github`_. -Workflow --------- +Degradation and Soiling +----------------------- -RdTools supports a number of workflows, but a typical analysis follows -the following: +Both degradation and soiling analyses are based on normalized yield, similar to performance +index. Usually, this is computed at the daily level although other aggregation periods are +supported. A typical analysis of soiling and degradation contains the following: 0. Import and preliminary calculations 1. Normalize data using a performance metric @@ -48,7 +50,7 @@ drift. :alt: RdTools workflow diagram Degradation Results -------------------- +^^^^^^^^^^^^^^^^^^^ The preferred method for degradation rate estimation is the year-on-year (YOY) approach, available in :py:func:`.degradation.degradation_year_on_year`. @@ -78,7 +80,7 @@ that the clear-sky analysis be used as a check on the sensor-based results, rather than as a stand-alone analysis. Soiling Results ---------------- +^^^^^^^^^^^^^^^ Soiling can be estimated with the stochastic rate and recovery (SRR) method (Deceglie 2018). This method works well when soiling patterns From fb8d794c010a4db836a057dfd3619c3f8fee28bd Mon Sep 17 00:00:00 2001 From: Michael Deceglie Date: Wed, 23 Sep 2020 16:02:22 -0600 Subject: [PATCH 2/3] reword --- docs/sphinx/source/index.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/sphinx/source/index.rst b/docs/sphinx/source/index.rst index ad3e01c7..47907b05 100644 --- a/docs/sphinx/source/index.rst +++ b/docs/sphinx/source/index.rst @@ -17,7 +17,7 @@ time series data from photovoltaic energy systems. The library aims to provide best practice analysis routines along with the building blocks for users to tailor their own analyses. Current applications include the evaluation of PV production over several years to obtain -rates of performance degradation and soiling loss. It also includes the capability to +rates of performance degradation and soiling loss. They also include the capability to analyze systems for system- and subsystem-level availability. RdTools can handle both high frequency (hourly or better) or low frequency (daily, weekly, etc.) datasets. Best results are obtained with higher frequency data. From 24c5acf75553db60ff491b08ccb9673af95f0e0f Mon Sep 17 00:00:00 2001 From: Michael Deceglie Date: Wed, 23 Sep 2020 16:03:49 -0600 Subject: [PATCH 3/3] heading update --- docs/sphinx/source/index.rst | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/sphinx/source/index.rst b/docs/sphinx/source/index.rst index 47907b05..35d745f2 100644 --- a/docs/sphinx/source/index.rst +++ b/docs/sphinx/source/index.rst @@ -49,8 +49,8 @@ drift. .. image:: _images/RdTools_workflows.png :alt: RdTools workflow diagram -Degradation Results -^^^^^^^^^^^^^^^^^^^ +Degradation +^^^^^^^^^^^ The preferred method for degradation rate estimation is the year-on-year (YOY) approach, available in :py:func:`.degradation.degradation_year_on_year`. @@ -79,8 +79,8 @@ analysis when details such as filtering are changed. We generally recommend that the clear-sky analysis be used as a check on the sensor-based results, rather than as a stand-alone analysis. -Soiling Results -^^^^^^^^^^^^^^^ +Soiling +^^^^^^^ Soiling can be estimated with the stochastic rate and recovery (SRR) method (Deceglie 2018). This method works well when soiling patterns @@ -98,8 +98,8 @@ identified soiling rates for the dataset. :width: 320 :height: 216 -Availability Results --------------------- +Availability +------------ Evaluating system availability can be confounded by data loss from interrupted datalogger or system communications. RdTools implements two methods of