arao53 / watertap

The WaterTAP development repository

WaterTAP

This is the WaterTAP development repository.

WaterTAP is developed as part of the National Alliance for Water Innovation project.

Build Status

Getting started

To quickly install and start using WaterTAP, head over to the Getting Started section of the documentation.

If you wish to use the WaterTAP UI, you can download and install it from this page: https://watertap-org.github.io.

To run the WaterTAP tutorials online (no installation required), refer to this guide.

Documentation

The WaterTAP documentation is available online at https://watertap.readthedocs.io.

Developer Installation

If you want to clone the repository and work directly with the code, please refer to the Getting Started for Developers section of the documentation.

Cite this work

To cite this work, use the "Cite this repository" feature available on the right side of this repository page or use the reference text given below.

WaterTAP contributors. WaterTAP: An open-source water treatment model library. Version 0.6. Sponsored by California Energy Commission, National Alliance for Water Innovation, and USDOE. Available at https://github.com/watertap-org/watertap.

Funding Acknowledgements

This work is being conducted as part of the National Alliance for Water Innovation (NAWI) with support through the U.S. Department of Energy’s Advanced Manufacturing Office.

watertap's Issues

Capex on Multiperiod Models

Issue:
Capex is currently indexed by hour depending on the flow/pressure conditions.

Suggested fix:
After initialization, fix all the capex parameters or constrain capex to be calculated based on the max flow and pressure conditions.

Full characteristic pump curves

Issue:
Current WaterTAP pump model only considers constant efficiency or a flow-based correlation.

Suggested Fix:
A simple case would be to implement correlations or pump equations to recreate a characteristic curve. A more sophisticated approach would be to develop a workflow that takes in real pump data, creates a surrogate equation, and converts the equation into a constraint to use in the model.

Run parallelization

Issue:
MultiPeriod models take a long time to run and there isn't a guarantee for converging to global minima.

Suggested Fix:
Use MPI parallelization and the WaterTAP parameter sweep tool to leverage HPC to run many different initial conditions.

Save model state

Issue:
MultiPeriod models take a long time to initialize, but parameters are initialized to the same values.

Suggested fix:
Initialize the first time step and copy the state of the block onto all other time instances. This can be done using WaterTAP PR#691 or idaes.core.util.to_json and idaes.core.util.from_json.