8 days ago I posted on the Henvey Inlet fire that continues to burn with an unchanged status of “Not Under Control”, as indicated on the Ministry of Natural Resources and Forestry’s GIS application (shown below)- but following my post the “Cause” status was changed, from “HUMAN” to nothing at all.
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 »
The official news release includes:
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.
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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
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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.
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Yesterday Ontario Power Generation released their 2017 Financial Results:
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.
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A short post to debunk some belligerently dishonest claims regarding Ontario’s most inane electricity/social science project, Henvey Inlet Wind.
Background: Clement/Thibeault $billion negligence: Henvey Inlet Wind
The contract, according to the IESO’s contract list, was signed in June 2011 under the feed-in-tariff (FIT) program that paid $135/MWh, plus up to another $15/MWh as an “Aboriginal Price Adder.” While those contracts were expected to be operational 3-years after the project data, apparently this one is exceptional in ways other than costing $150/MWh (roughly 5 times what new 2019 wind in Alberta will cost).
Here are the claims I’ll rebuke (emphasis added):
Development of wind energy will help Ontario in meeting its goal of phasing out coal-fired power generation.
The windfarm is expected to displace 851,000t of carbon dioxide emissions a year, which is equivalent to the amount of carbon dioxide released by 200,000 cars. It will also offset 4,100t of sulphur dioxide, 1,200t of nitrogen oxide, and 13.4kg of Mercury emissions per year.
Unlike coal-fired power plants, the project will not use water leading to the conservation, which normally uses approximately two billion litres of water a year.
The project, of course, missed the coal era in Ontario’s electricity sector. The “goal of phasing out coal-fired power generation” is long since met.Read More »
My friend Parker Gallant has written on my updated estimates of annual curtailment in Wind waste should worry Ontario ratepayers. Producing the estimates doesn’t take me nearly the effort Parker puts into writing on them, so I felt compelled to add a new view of the data just to make our contributions a little more equitable.
The French language Radio-Canada has posted AU PAYS DE L’EAU NOIRE
Des résidents en Ontario vivent un cauchemar depuis l’installation d’éoliennes proches de leur domicile. I assume it’s best read in French, but the Google translation to English sufficed for me. As the journalism at Radio-Canada is more focused on the impacts to people of turbine construction of the North Kent wind farm, I decided today’s show of data will be on the performance of individual industrial wind turbine facilities.
Capacity Factor is the output of a generator divided by the theoretical maximum (full output in all hours). To estimate costs I need to estimate curtailment, but just viewing the history of capacity factors has the benefit of allowing the cynical reader (ie. the good ones) to verify my claims just by adding up columns from the IESO’s wind file. I won’t make it easy to do though, because for fairness I limit results to years where a facility was in commercial operation throughout, and to compare 2017 results I’ve made all years’ data the total as of the end of November.
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