https://github.com/critical-infrastructure-systems-lab/pownet-thailand

PowNet-Thailand: Network-constrained Unit Commitment / Economic Dispatch model for the Thai power system with sample data

https://github.com/critical-infrastructure-systems-lab/pownet-thailand

Science Score: 33.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 12 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.5%) to scientific vocabulary

Keywords

energy power-systems-analysis simulation thailand

Keywords from Contributors

dc-flow dispatchable-units economic-dispatch electricity-supply n-1-criterion power-system-analysis renewable-resources substations unit-commitment water-energy-nexus
Last synced: 11 months ago · JSON representation

Repository

PowNet-Thailand: Network-constrained Unit Commitment / Economic Dispatch model for the Thai power system with sample data

Basic Info
  • Host: GitHub
  • Owner: Critical-Infrastructure-Systems-Lab
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 138 MB
Statistics
  • Stars: 2
  • Watchers: 3
  • Forks: 3
  • Open Issues: 0
  • Releases: 0
Topics
energy power-systems-analysis simulation thailand
Created almost 6 years ago · Last pushed over 2 years ago
Metadata Files
Readme License

README.md

license MIT DOI

Note

This model is based on PowNet v1.3, which is no longer developed. If you are interested in running an instance of PowNet for the Thai power system, please check the latest release of PowNet (v2.0), which includes input data for this case study.

PowNet-Thailand: Network-constrained Unit Commitment / Economic Dispatch model for the Thai power system with sample data

PowNet-Thailand is an implementation of PowNet model on the Thai power system. The model is developed based on the load (domestic and exports) and infrastructure (power plants, substations, and high-voltage transmission lines) of the Thai power system operated in 2016, including a number of Laotian hydro and thermal power plants that supply to Thailand. The power systems’ data are mostly collected from publicly available reports, published by Electricity Generating Authority of Thailand (EGAT), Energy Policy and Planning Office (EPPO) – Thai Ministry of Energy, Electricite Du Laos (EDL), and the Department of Energy Policy and Planning (DEPP) – Laotian Ministry of Energy and Mine. The hydropower budgets are simulated with VIC-Res. Please refer to Chowdhury et al. (2021) for additional details on the power system and model setup.

For 2016, the repository contains input data, output data, and a Python script for a sample analysis. In addition, climate-dependent input data (e.g., hydropower budget) for a 30-year (1976-2005) simulation period, used in Chowdhury et al. (2021), are also provided. Outputs for any of these years can be obtained by running PowNet-Thailand through the following two steps: (1) change simulation year in ‘pownetthaidatasetup.py’, and (2) run ‘pownetthaisolver.py’.

The basic functionalities and input-output structure of PowNet are described in Chowdhury et al. (2020). Step-by-step instructions on how to run and customize PowNet for any power system are provided in this GitHub repository.

Citation

If you use PowNet-Thailand and/or the data for your research, please cite the following papers:

Chowdhury, A.K., Dang, T.D., Nguyen, H.T., Koh, R., and Galelli, S., (2021). The Greater Mekong's climate-water-energy nexus: how ENSO-triggered regional droughts affect power supply and CO2 emissions. Earth’s Future, 9, e2020EF001814, DOI: https://doi.org/10.1029/2020EF001814.

Chowdhury, A.K., Kern, J., Dang, T.D. and Galelli, S., (2020). PowNet: A Network-Constrained Unit Commitment/Economic Dispatch Model for Large-Scale Power Systems Analysis. Journal of Open Research Software, 8(1), p.5. DOI: http://doi.org/10.5334/jors.302.

In addition, each release of PowNet-Thailand is achieved on Zenodo with a DOI, that can be found here.

Contact

For questions and feedback related to PowNet-Thailand, please send an email to afm.chowdhury@uon.edu.au (AFM Kamal Chowdhury) or stefano_galelli@sutd.edu.sg (Stefano Galelli).

License

PowNet-Thailand and the data are released under the MIT license.

Acknowledgment

PowNet-Thailand development is supported by Singapore's Ministry of Education (MoE) through the Tier 2 project “Linking water availability to hydropower supply – an engineering systems approach” (Award No. MOE2017-T2-1-143).

Owner

  • Name: CRITICAL Infrastructure Systems Lab
  • Login: Critical-Infrastructure-Systems-Lab
  • Kind: organization
  • Email: stefano_galelli@sutd.edu.sg
  • Location: Singapore

Connecting climate | water | energy

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 48
  • Total Committers: 3
  • Avg Commits per committer: 16.0
  • Development Distribution Score (DDS): 0.229
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
AFM Kamal Chowdhury a****y@u****u 37
ngjiayi93 n****3@h****m 10
Dae 6****p 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: over 2 years ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels