Keeping up with the curtailment: 3.7TWh of semi-scheduled economic and network curtailment estimated in 2023
A chart of the the month-by-month semi-scheduled economic and network curtailment totals, along with the top 3 worst hit units over 2023.
Cataloguing various pieces of analysis with respect to VRE (variable renewable energy).
A chart of the the month-by-month semi-scheduled economic and network curtailment totals, along with the top 3 worst hit units over 2023.
With Challicum Hills Wind Farm recently celebrating its 20th anniversary, Dan Lee takes a look into the long-term trend of technical and commercial performance of the oldest wind farms in the NEM.
The second part of an ongoing case study examining two successive days of low VRE generation in early July 2023. This part examines IRPM, earlier forecasts of available generation and maps the availability by...
With Q2 drawing to a close, we're gearing up to produce GenInsights Quarterly Update for this quarter. Timely to look back at Q1 at what was reported about curtailment of wind and solar in...
Inspired by the recent article by Tristan Edis (who referenced the GSD2022 in analysis of curtailment of some wind and solar farms), Allan O'Neil follows on with more analysis of the two main types...
Tristan Edis from Green Energy Markets takes a deep dive into generator performance across the NEM. He provides his take on which wind and solar farms have outperformed and underperformed, through the recent renewable...
Today, more than 14 months after the publication of GenInsights21 we're sharing Key Observation 15 of 22, relating to self-forecasting for Semi-Scheduled units.
On Thursday 17th March, Jonathon Dyson presented at the CEC Wind Industry Forum in Melbourne about the increasing role of auto-bidding and self-forecasting in the modern-day NEM. In this article, he shares some of...
Curtailment seems like a simple concept, until you look closely at the details. In this article, Marcelle looks at how to estimate curtailment at wind and solar farms and explores some of the traps.
In terms of diversity of intermittent supplies, we need to understand that we're not just comparing data series on a scale that runs from "highly correlated" to "random"...