GithubHelp home page GithubHelp logo

sanpen / gneste Goto Github PK

View Code? Open in Web Editor NEW

This project forked from iain-staffell/gneste

1.0 0.0 0.0 683 KB

The Global and National Energy Systems Techno-Economic (GNESTE) Database

Python 100.00%

gneste's Introduction

GNESTE: The Global and National Energy Systems Techno-Economic Database

The goal of GNESTE is to develop a comprehensive database of cost and performance data for key electricity generation and storage technologies:

  • Coal Power
  • Gas Power
  • Hydro Power
  • Nuclear Power
  • Solar Power
  • Wind Power
  • Battery Energy Storage Systems

Data are collected on:

  • Capital Cost
  • Fixed O&M Cost
  • Variable O&M Cost
  • Total O&M Cost
  • Fuel Price
  • Efficiency
  • Construction Time
  • Operating Lifetime
  • Cost of Capital

The GNESTE database is documented in a paper published in the Data in Brief journal. That article details the process for collecting data, defines all variables and categories of data, and gives examples of its usage.

The files presented here are in machine-readable CSV format. The same data are also made available in Excel format, with additional metadata and documentation, from Zenodo.

Citation

Please cite this article when you use the GNESTE database:

L. Hatton, N. Johnson, L. Dixon, B. Mosongo, S. De Kock, A. Marquard, M. Howells, and I. Staffell (2024). The Global and National Energy Systems Techno-Economic (GNESTE) Database: Cost and performance data for electricity generation and storage technologies. Data in Brief. DOI:10.1016/j.dib.2024.110669

License

Creative Commons CC-BY-4.0

Contact

Luke Hatton <[email protected]>

Nathan Johnson <[email protected]>

Iain Staffell <[email protected]>

gneste's People

Contributors

iain-staffell avatar

Stargazers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.