The ‘A’ Page in the GSD2020

As noted here, for every DUID that operated at some point through CAL2020, we include two pages of statistical data on the technical and commercial operations of the plant.  We’re referring to the page on the left as the ‘A’ Page (described below), and the page on the right as the ‘B’ Page (described here).

(A)  Genesis of the ‘A’ Page

Those who have their own copies of the preceding Generator Report Card 2018 will note the strong similarities between:

1)   the ‘A’ Page in the GSD2019, and hence the ‘A’ Page of this GSD2020; and

2)  what was provided in Part 3 of the GRC2018.

That’s deliberate!

Feedback we received from clients through 2019 and 2020 reinforced the value of this statistical summary for each unit – matching our own experiences (we found many occasions in past 19 months after the release of the GRC2018 where reaching for the bound copy, or scanning the PDF, was the quickest way to get to the summary data we were looking for – or to explain to others).

(B)  Structure of the ‘A’ Page

Taking one of the pages for the 330 DUIDs (i.e. units) covered in the Generator Statistical Digest 2020, we’ve annotated to provide some context to what we have included:

On this page we utilise 10 years of data (1st January 2011 to 31st December 2020) to compile technical and commercial performance statistics for the unit that’s the focus of that page.  In the example here we focus on the “MORTLK12” DUID for no reason other than to highlight some of what’s included.

In the table below, we provide more context to the data represented on each ‘A’ Page in the GSD2020:

Data Sets Included Brief Description
Meta Data,
and Registration Status,
for the Unit
Referenced specifically ‘as at 31st December 2020’ at the top of the page we include information covering:

(a)  Some technical/physical characteristics of the unit (type of project, location, size, approximate emissions intensity); and

(b)  Some commercial characteristics (Portfolio, Registration status, and whether it’s been registered for provision of Ancillary Services)

Trended monthly revenue Across all nine commodities (Energy and FCAS) for each month over the 10-year period we trend a stacked calculation of revenue for the DUID.

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Examples of use…

Monthly Utilisation (for Energy) Focusing specifically on the provision of Energy we look at the monthly aggregate availability and capacity factor, referenced to the unit’s Maximum Capacity (as registered with AEMO).

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Examples of use…

Monthly Bids in Bid Ranges (for Energy) Using three basic colours (and shades within) we aggregate up the energy-constrained ‘True Volume’ of bids made by each DUID at the point of dispatch to deliver a clear picture of how the relevant Participant has positioned that asset for each month over the past 10 years.

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Examples of use…

Number of Unit Starts Number of Starts (and hence number of full cycles) is a key performance metric for any unit.  For instance, generators with large rotating mass will find number of starts a good initial representation of the likelihood of the unit suffering remnant life degradation due to fatigue.

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Back in March 2019 we wrote about ‘The death of baseload and rise of cycling’ to focus attention on how the aggregate statistics for number of unit starts was increasing significantly.

Operating Hours Operating hours is a key performance metric for any unit.  For instance, thermal generators will find operating hours a good initial representation of the likelihood of the unit suffering remnant life degradation due to creep.

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Examples of use…

Constrained Hours In the ‘A’ Page, a 10-year history is provided of the total number of hours in the year in which the DUID was affected by (one or more) bound constraint equations.

Note, in particular, that the “Top 5 Constraints” for the 2020 year are further explored for the most recent year in the adjoining ‘B’ Page of the GSD2020.

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In ‘How good is Solar Farming?’ on 28th January 2019, Allan flags (referencing the prior GSD2019) how the impact of congestion through CAL 2019 manifest themselves as Headwind no 3.

On 1st February 2021, Paul McArdle published the article ‘Which units were most impacted by constraints in 2020?’ exploring some of the insights accessible from the GSD2020 with respect to constraints.

Prime Involvement in Price Setting The process by which prices are set (and dispatch happens) in the NEM is significantly more complex than the majority of people realise – which has been leading to unwanted surprises amongst a number of new entrant generators to the NEM.  Over time we have invested in linking together a multi-level explanation about these concepts assembled in the Glossary.

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Examples of use…

Marginal Loss Factor (MLF) Through WattClarity there are numerous articles that have been written over time, with some being tagged here.

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In particular, Allan’s article ‘How good is Solar Farming?’ on 28th January 2020 highlights how the (prior) GSD2019  makes it easy to spot check, across a broad number of units, how declines in MLF are presenting themselves as Headwind no 1.

The advantage of this format is that it enables data to be reported, on the same basis, for all 330 DUIDs!