This is a very interesting video prepared by AWS TRUEPOWER concerning mainly :
- Solar station design
- Impact on uncertainties
- Impact on P90
- Impact on bankability
Hoping it will be interesting for you.
In the last time (years) I’ve gone from been a solar researcher to consultant and then to Project Manager of solar projects. I have had very little time to write on this blog and to advance in my project to develop a program for the analysis of radiation data files.
Many times the work and personal life does not leave time for much more, and hobbies should be postponed.
As Project Manager I was responsible in juwi for the development of Tambo Real project, which has a capacity of 1.2 MWp and is located in the Vicuña, Chile.
It was a great experience to be in charge of the construction of the second largest photovoltaic park in the country so far, of which I remain many lessons learned.
I would like to share with you some pictures of the construction process.
This video is quite old, is the result of a time lapse of a day working with a friend in the solar laboratory of UTFSM trying to build a shader on the tracker for a pyranometer. The shader consisted in an arm as a inverted L with a disk that blocks the direct rays of the Sun, this arm was lifted by the arm of the tracker that supports the pyrheliometer.
Here you can see where is located. (Google Maps)
Fortran 2003 is a major extension to Fortran 90/95 including many useful features, one significant feature is access to command arguments; this allows a program to take data from the execution command line and use this arguments as input information.
program cmdline implicit none character(len=*), parameter :: version = '1.0' character(len=32) :: arg integer :: i do i = 1, command_argument_count() call get_command_argument(i, arg) select case (arg) case ('-v', '--version') print '(2a)', 'cmdline version ', version stop case ('-h', '--help') call print_help() stop case default print '(a,a,/)', 'Unrecognized command-line option: ', arg call print_help() stop end select end do contains subroutine print_help() print '(a)', 'usage: cmdline [OPTIONS]' print '(a)', 'cmdline options:' print '(a)', ' -v, --version print version information and exit' print '(a)', ' -h, --help print usage information and exit' end subroutine print_help end program cmdline
The ability to generate high quality scientific graphics for data analysis, showing resumed contents, manipulated data and calculations is an art. For this is critical to have powerful and easy to use tools, my favorite is Plot for Mac. It costs a little to learn how to use it at first but quickly the results can be amazing.
It is free and very recommended.
In my last year of college I started working in solar energy research, processing large amounts of data of global, diffuse and direct solar radiation. The processing of this information was very difficult, considering that a year of measurements means more than 500,000 data measured every minute. For each data had to calculate the position of the sun and do quality control of measurements, it was impossible to do it in Excel due to long processing times and freezes. It was then that I began to process information with Fortran, everything was much faster, did not fall and was able to process lots of information quickly. The problem was that was not possible to generate graphics and that was critical for me.
This is how I reach DISLIN, a library to generate incredible graphics from Fortran, very easy to use and export to all formats. With the time I even use Dislin to generate Graphics Users Interface (GUI) for Fortran software.
Below are images with more than 200,000 points that was realized in a couple of seconds with Fortran and DISLIN.
The National Renewable Energy Laboratory of United States (NREL) has done an amazing job developing the Solar Prospector, a tool to navigate through data derived from satellite imagery with a resolution of 10×10 km. This mapping tool is designed to help developers site large-scale solar plants by providing easy access to solar resource datasets and other data relevant to utility-scale solar power projects.
Unfortunately the information is only for United States.