I saw an opportunity for presenting Ontario electricity data in trying out the free public version of the Tab|eau business intelligence tool.
I’m not sure I have the patience, or the smarts, to learn how to do all I’ve learned with Microsoft’s Power BI, but maybe I should. I’m astonished with the power of this map in filtering the data table!
(afraid the attempt at embedding on wordpress was a failure – but the link works!)
I was alerted that the MNR’s GIS tool also has an “Out” option, and that reveals a fire identified as Parry Sound 7, started May 17, 2018. As I post this, that fire remains identified as having a “HUMAN” cause.
Parry Sound 7 is listed as only 0.2 hectares in size (Parry Sound 33 is nearing 9000 ha), but it was reported and that begs the questions about the Ministry’s, and the wind farm developer’s, investigation and response. This is particularly true as fire intensity codes for industrial operations exist.
Were fire intensity codes applicable to Pattern’s wind project, and were the “several small fires” the CBC was told, by “a number of workers”, preceded Parry Sound 33 reported to the appropriate authority – presumably the MNR?
1 last question: will the MNR scrub the “HUMAN” from the Cause field of Parry Sound 7 too?Read More »
TORONTO — Ontario ratepayers will benefit from $790 million in savings thanks to the Government of Ontario’s decision to cancel and wind down 758 renewable energy contracts, Minister of Energy, Northern Development and Mines Greg Rickford announced today…
All of the cancelled projects have not reached project development milestones. Terminating the projects at this early stage will maximize benefits for ratepayers.
Rickford also confirmed that the government intends to introduce a legislative amendment that, if passed, will protect hydro consumers from any costs incurred from the cancellation. Even after all costs are accounted for, ratepayers can expect to benefit from $790 million in savings from this one decision.
I thought a short post is in order as the incoming mainstream media reports are not informative or in any way helpful.
I’ve been writing little but learning more recently. I’ve written multiple times on the inability of Ontario to fully utilize its water rights on the Niagara river, so that’s some data that I looked to learn some new data connections and summary techniques. Having advanced to where I can easily update to the latest available data I thought I’d share this view summarizing it – and offer some brief comments explaining the significance.
Ontario’s Industrial Conservation Initiative program, which rewards large “Class A” consumers for lower consumption during periods of high demand from the system operator’s supplier, cost others $1.27 billion in past 12 months. I won’t review the history of the program today as I did 3 years ago in “Stakeholders” destroying the viability of Ontario’s electricity market, but I will note that since last March a Variance Account under the [un]Fair Hydro Plan – which shifts costs from ratepayers today to rubes sometime in the future – a debt of $1.2 billion accumulated with April’s total still to be posted.
Today the system operator (IESO) posted the top 5 peak hours for the adjustment period that ended April 30th, 2018 (it started May 1, 2017) – and Monday the IESO posted the final Global Adjustment figures for April. This post will contain:
a quick demonstration of cost shift calculations,
review of the ICI value proposition, and
another jab at the province’s time-of-use (TOU) billing experiment performed on residential consumers.
For the 12 months of the ICI adjustment period the cost shift can be calculated as the difference between what Class A (larger consumers and ICI participants) did pay and what they would have paid were there not a separate class:
The total global adjustment charge for the period was $11.821 billion dollars, and total consumption (both classes) 138.194 terawatt-hours (million MWh), so the average global adjustment rate was $85.54/MWh.
Class A consumers were allocated a $1.8529 billion of the global adjustment total on 36.503 TWh of consumption which works out to an average global adjustment rate of $50.76/MWh
The $35.78/MWh difference in that rate, on 36.503 million MWh, means $1.27 billion was avoided
Electricity prices, and costs are aspects of a project I’m trudging through working with electricity data from the United States. I’ve developed a Power BI report which probably deserves a lot slicker interface, but time is limited. This post offers directions on controlling the reporting, and adds some Ontario context to the graphics.
My primary intent was to create imagery of average monthly electricity cost, by state, for residential consumers. Rates get a lot of discussion, even more so in recent weeks, but I’m not convinced an isolated rate analysis is useful.
A recent Scientific American article featured a smart BI report by Abhilash Kantamneni ( @akantamn on Twitter ).
Due to an exchange on Twitter I’d had with Abhilash a couple of weeks ago, I wanted to build a view that showed both rates, and average monthly consumer costs – because it turns out these are much different things.
Ontario Power Generation Inc. (OPG or Company) today reported net income attributable to the Shareholder of $860 million for 2017, compared to $436 million in 2016.
That must be considered a great number in the context of the income history at OPG as it’s the highest they’ve ever accomplished. The apparently excellent results may leave some wondering what critics commenting on the sector have been braying on about. I, a critic, have reviewed the results and found some things to bray about.