nemglo 0.1.2

Green-energy Load Optimisation tool for the NEM

NEMGLO

NEMGLO is a Green-energy Load Optimisation tool for the Australian National Electricity Market (NEM). This python tool allows users to counterfactually assess flexible load operating strategies in the NEM using historical market data. Specifically, the tool enables users to test various scenarios with differing PPA contracting structures and green-certificate schemes, a primary case study being the ability to 'validate' the integrity of "green"-hydrogen produced via grid-connected electrolysis with bundled PPA contracting. Although the tool was developed contextually for electrolyser loads, the functionalities can inherently be abstracted to commercial/industrial flexible loads seeking to consume green-energy.

Customisable Tool Features:

• Load Operating Characteristics (Min stable load, ramp rates, etc.)
• Multiple Power Purchase Agreements (contract volume, strike, floor, etc.)

Features Coming Soon:

• Renewable Energy Certificate procurement + surrender (with/without temporal matching)
• Shadow Pricing of Grid Emissions Intensity (average & marginal emissions)
• Constrain to Green Energy Certification Standards for H2 (max tCO2 content per tH2)

Read more about the project here

Installation

pip install nemglo

Future Development

Thanks for checking out this beta version! Future work will expand the functions and capabilities of modelling with more customability/settings for electrolyser operation, PPAs and certificate-trading/emissions considerations. A graphical user interface is also being developed. Check back for future information and releases.

Usage

For guidance on NEMGLO usage, see the Examples section of the documentation.

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

NEMGLO was created by Declan Heim as a Master's Project at UNSW. It is licensed under the terms of the BSD 3-Clause license.

Credits

This project is affilitated with the UNSW Collaboration on Energy and Environmental Markets and was further supported by the UNSW Digital Grid Futures Institute.

NEMGLO incorporates functionality from a suite of UNSW-CEEM tools, namely, NEMOSIS to extract historical market data and NEMED to compute emissions data from AEMO's MMS databases respectively. The structure of the optimiser codebase is further adopted from sister tool nempy under nempy licence.

Acknowlgements

Many thanks to:

• Jay Anand, co-developer of the NEMGLO interactive web tool.
• Nick Gorman and Abhijith Prakash for pointers on NEMGLO code development.
• Iain MacGill, Anna Bruce, Rahman Daiyan, and Jack Sheppard as project advisors.

Contact

Questions and feedback are very much welcomed. Please reach out by email to [e-mail]