As noted here, for every DUID that operated at some point through CAL2019, 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 (which is 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 the ‘A’ Page in the GSD2019 and what was provided in Part 3 of the GRC2018. That’s deliberate!
Feedback we received from clients through 2019 reinforced the value of this statistical summary for each unit – matching our own experiences (we found many occasions in the 6 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 304 DUIDs (i.e. units) covered in the Generator Statistical Digest 2019, we’ve annotated to provide some context to what we have included:
On this page we utilise 10 years of data (1st January 2010 to 31st December 2019) 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 “MURRAY” 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 GSD2019:
| Data Sets Included | Brief Description |
| Meta Data, and Registration Status, for the Unit |
Referenced specifically ‘as at 31st December 2019’ 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.
—————- 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).
—————- 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.
—————- 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.
—————- 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.
—————- Examples of use… |
| Constrained Hours | Explain here.
Note, in particular, that the “Top 5 Constraints” are further explored for the most recent year in the adjoining ‘B’ Page of the GSD2019. —————- In ‘How good is Solar Farming?’ on 28th January 2019, Allan flags how the impact of congestion through CAL 2019 manifest themselves as Headwind no 3. |
| 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.
—————- Examples of use… |
| Marginal Loss Factor (MLF) | Through WattClarity there are numerous articles that have been written over time, with some being tagged here.
—————- In particular, Allan’s article ‘How good is Solar Farming?’ on 28th January 2020 highlights how the 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 304 DUIDs!