Geothermal Power Potential assessment
Project description
TOPIC
A Python stochastic library for assessing geothermal power potential by using the volumetric method in a liquid-dominated reservoir
ABSTRACT
Gppeval is a Python stochastic library for assessing geothermal power potential by using the volumetric method in a liquid dominated reservoir is presented in this application. More specifically, the purposes of this study are the use of the volumetric method “heat in place” to estimate ability to produce electrical energy from geothermal liquid-dominated reservoir, and to code a valuable Python stochastic library that has the helpful methods for running the simulation. Even though there are some kinds of licensed software for carrying out this simulation, for this task was selected Open-Source Programming Language, i.e., Python.
The Geothermal Power Potential Evaluation stochastic library, Gppeval, is structured as three essential objects such as the geothermal power plant module, the Monte Carlo simulation module, and the module of tools.
For testing the application, a Jupyter Notebook example has been included in the example folder.
HINT: For the moment, this application is available only for Python 2.7
INSTALLATION
Required Packages
The following packages should be installed automatically (if using ‘pip’ or ‘easy_install’), otherwise they will need to be installed manually:
NumPy : Numeric Python
SciPy : Scientific Python
Matplotlib : Python plotting library
Mcerp : Monte Carlo Error Propagation
Beautifultable : Utility package to print visually appealing ASCII tables to terminal
How to install
You have several easy, convenient options to install the ‘gppeval’ package (administrative privileges may be required). Keep in mind to use Python 2.7
Simply copy the unzipped ‘gppeval folder’ directory to any other location that python can find it and rename it ‘gppeval’.
From the command-line, do one of the following:
Manually download the package files below, unzip to any directory, and run:
$ [sudo] python setup.py install
If ‘pip’ is installed, run the follow command (stable version and internet connection is required)
$ [sudo] pip install [–upgrade] gppeval
CONTACT
Please send feature requests, bug reports, or feedback to: Carlos O. POCASANGRE JIMENEZ
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Hashes for gppeval-2018.4.6.0.1.dev1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a8a2f7473e8a0a967600860b7104c5925460213d492a7afae7131b6db673af9c |
|
MD5 | 1802708ae48b01b14f9f537161634755 |
|
BLAKE2b-256 | fa5ee4fb424a1cb0cec861d438dbb9aa4f12ba4f6358a81c1aa9e9d485f20c47 |