aremi-tmy

A tool to work out Typical Meteorological Year (TMY) from ground weather station observations together with satellite solar irradiance data.

License

This code is licensed under the open source Apache License Version 2.0. For full details please see the LICENSE file in the root of this repository.

Everything in here is © CSIRO Data61 2017.

Instructions

There are two programs, one written in Haskell and the other in Java - full instructions for building and running below. Both of these software produces merged (and data-filled) solar and weather data, but each with different inputs, which is to be used for calculating the TMY.

Haskell Software

Building

Building this software requires Haskell Stack. This software relies on minute solar and weather data provided by the Bureau of Meteorology.

For initial setup, install all of the necessary dependencies for this software:

stack setup

To build and compile the files:

stack build

Running

Run the Haskell software to obtain the averaged data of each station

stack exec aremi-tmy-oneMinSolar <data>

NOTE: click here to see how to pass the data files

Java Software

Building

Building this software requires Java (Maven). This software relies on half-hourly weather data provided by the Bureau of Meteorology, and hourly solar satellite data.

Building and compiling the files can be done using the IDE or command line:

mvn package

Running

Run the Java software to obtain the averaged data of each station

Running the Main class can be done using the IDE or command line:

java solar_data/target/classes/Main

NOTE: this program will rely on these here to produce the output.

Once the TMY has been obtained, to modify the output to have the same uniform year throughout the TMY file, run the ChangeYear program

java solar_data/target/classes/ChangeYear path/to/file/<station_number>_averaged_tmy.csv

TMY Python Script

Once the solar and weather data has been processed for each station, run the Python software to calculate the TMY for each station

Requires Python 2 (does not work with Python 3) and Anaconda 2*.

• To calculate TMY for a specific station:

python sandia/tmy.py -c <config_file> -b <station number>_averaged.csv

• To calculate TMY for all stations:

python sandia/tmy.py -c <config_file> -a

The config file will depend on which program has been used to process the solar and weather data:

Haskell: tmy-config.json

Java: tmy-config-0.2.0.0.json

Typical Meteorological Year (TMY)

TODO

Data

For the Haskell program

The data obtained from different stations should be saved in a directory within the root in this way:

.
├── data
│   ├── 015590
│   ├── 016001
│   ├── ...
│   ├── IDCJAD00114_site_details_file.txt
│   ├── ...

Run the software automatically for all stations by passing the site details file:

data/IDCJAD00114_site_details_file.txt

For the Java program

The program would work if the data is laid out within the root directory in the following way:

.
├── BoM_observations
│   ├── Half-hourly-data
│   │   ├── NSW_half_hourly
│   │   │   ├── HM01X_Data_046012_999999998661926.txt
│   │   │   ├── ... (the other station files)
│   │   │   ├── HM01X_StnDet_999999998661926.txt
│   │   │   ├── ...
│   │   ├── ... (the other states)
│   ├── Hourly-solar-data
│   │   ├── NSW
│   │   │   ├── 046012_dni_ghi.csv
│   │   │   ├── ... (the other station files)
│   │   ├── ... (the other states)

NOTE: the solar data CSVs within the Hourly-solar-data directory is assumed to have three columns: UTC time, DNI value and GHI value.

AREMI

TODO

© CSIRO Data61 2017.