Our CEO, Paul McArdle recently penned an article on WattClarity pondering whether the remarkable price results from Q2 were a short lived excursion or whether they are the begging of a more systematic change in pricing patterns. Paul’s article caught the attention of several journalists including Ben Potter from the Australian Financial Review, who referenced the analysis in his piece ‘COAG out of action as electricity prices soar‘, and sought comments from Paul on the topic:
Average wholesale electricity prices across the National Electricity Market shot up to $65-$80 a megawatt hour in the mainland NEM states in the June quarter, and to $120 in Tasmania, Paul McArdle, director of GlobalRoam, said.
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.”
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.