$3,950.00 exGST
Description
The Generator Statistical Digest (GSD) is a comprehensive statistical report covering all currently operating generation and storage units in the National Electricity Market (NEM). It is designed to support analysts, investors, asset owners and other stakeholders in understanding unit performance and operational behaviour by combining 10-year historical profiles with detailed 12-month performance metrics.
This edition has been updated for the 2021 calendar year and includes statistical insights into spot and FCAS revenue capture, high-level bidding behaviour, FCAS costs, output profiles, price-setting involvement, rebidding frequency and much more.
The GSD2021 is broken into two parts:
- Section #1: Unit Profiles. The core of the report. For every operating unit in the NEM, an A and B page is provided. The A page summarises ten years (2012 to 2021) of monthly spot and FCAS revenues, capacity and availability factors, and bid volumes across fourteen price bands, together with tabulated information on unit starts, price setting involvement and other relevant operational and market data. The B page focuses on the 2021 calendar year only and covers spot and FCAS revenues, FCAS costs, average prices, rebid frequency, rebid reasons, top 5 constraints, unit price capture, temperature performance, and much more.
- Section #2: FCAS Causer Pays Portfolio. As the FCAS Causer Pays scheme was assessed at a portfolio level at the time, this section reports these relevant costs for each portfolio, with a breakdown of each unit’s contribution to the portfolio’s total.
This bundled product also includes the GSD2021 data extract, which contains the underlying calculated data used in the report’s charts and tables. The data extract is provided in both .xlsx and .tsv formats.
Note: Purchasing this product provides access to the 2021 edition only, and does not include a subscription to past or future editions of this report.
Additional information
| Release Date | 2022-03-28 |
|---|---|
| Latest Version | v2022-05-03 |
| No. of Pages | 786 |
| File Size (PDF) | 67 MB |
| File Size (Data Extract) | 10.6 MB (Compressed) |






