Chicago, United States — photo by @alexlivi

The Water-Electricity Nexus & AI

Changing Climate Predictions With Machine Learning Correlating Water and Energy

A recent journal article from Purdue University argues that most modelling assumes water and electricity is used separately, in silos. While they do the modelling and estimation of the impact with these two factors in relation to each other.

What they arrive at specifically with the regional-scale model is leveraged to make city-level projections is the indication that there will be a 10–20% (2–5%) increase in electricity (water) use across the analysed cities due to a warming climate.

Apparently water has become so costly in Chicago that some citizens cannot afford it.

Imagine thinking about turning on the tap, but realising you cannot afford it.

What do you do when you have no water?

In February 2019 NPR wrote an article detailing how water was cut off from marginalised citizens who could not afford to pay.

In certain areas in the US the cost of water has been increasing.

If there is already an issue with water being expensive and usage is expected to increase.

What the authors of the journal mentioned previously says is:

  1. The inclusion of additional climate variables beyond the baseline provides a significant improvement in predictive accuracy
  2. The climate-sensitive portions of summer electricity and water use are expected to increase in the region by 19% and 7%, respectively.

In an interview in Science Daily on the 5th of March one of the authors say:

“Such scenarios are fundamental for understanding the joint response of electricity and water uses to future changes in climatic conditions as to understand to what degree our current management and technological strategies need to adapt to the future changes.”

If we have more accurate models perhaps we can operate this infrastructure better at least to some degree when understanding maintenance, demand and how to deliver good services.

AI Policy and Ethics at Student at University of Copenhagen MSc in Social Data Science. All views are my own.

AI Policy and Ethics at Student at University of Copenhagen MSc in Social Data Science. All views are my own.