Hugh Saddler from the Australian National University, has used NEM-Review to help explain the state of the electricity market on the ABC’s 7.30 report which was broadcast on the the 13th of February 2017. In the report, several industry experts provide insights on the multi-state energy crisis over the summer that had been developing for several months.
Energy, science and technology blogger Ketan Joshi published an article on Monday which posed the question ‘Is Sydney’s heat decoupling from demand spikes?’. Within the post, he uses historical data from NEM-Review to compare New South Wales’ average demand between 2000-2015 against the daily average demand so far in 2016:
“Curiously, demand isn’t much higher or lower than the past five years. Keep in mind this comparison is slightly different – averages from 2000 to 2015, rather than temperature averages from 1859 to 2015 (like-for-like also shows average 2016 temps above the 2010-2015 average, though).”
“Regardless, there’s a novel disconnect, here. Sydney’s unusually high temps aren’t driving unusually high demand.”
A week of unusual occurrences in the South Australian energy space fascinated many onlookers, particularly large energy users.
After fielding a number of calls from large energy users in South Australia who were wanting to know what was going on, our CEO, Paul McArdle wrote this article on WattClarity to explain why they were concerned, to note observations about what happened and to state the possible implications for the future.
One of our government department clients has recently left us a comment after using NEM-Watch and NEM-Review for an extended period of time:
“Thank you very much for your excellent service. We, at the Department, highly value both of your products (NEM-Watch and NEM-Review), which we use on a regular basis and find them extremely useful in the provision of any NEM related data analysis”
Dr T S Prasad – Manager Analysis & Modelling, Department of Water & Energy
7th of April 2008
It’s fantastic to see that government departments are continuing to get value out of our products, particularly when generating context-sensitive insights into data.