Today’s guest author, Ben Willacy, examines current trends in commisioning activity and new grid connections for new supplies in the NEM.Read More
42 months after I posted some initial thoughts about “the opacity of rooftop PV” it seems that – when viewed in certain ways, discussed here – the problem is actually getting worse, not better.
Readers at WattClarity might recall that we have asked the question above a couple of times in recent weeks – and a big thanks to those who responded already! We’re…
RepuTex Energy builds on the Generator Report Card 2018 to provide insights into how different weather patterns impact wind production and the implications for system diversity and portfolio risk.
Better late than never (perhaps?) today I post a few thoughts about the AEMC’s proposed draft rule change for the incorporation of NegaWatts into centralized dispatch.
Our guest author Maria Cahill, offers insights and details lessons learnt over the past two years since moving to Melbourne from the UK to set up K2 Management’s Australian office.
Some operations at Stanwell Power Station unit 1 in the past couple weeks caught our attention, and are presented as a useful illustration of some concepts related to flexibility of power generators (in this case, coal-fired power).
Last minute complications mean that I cannot speak at today’s “Queensland Smart Energy Summit” (with Jonathon Dyson being an even better substitute). Here are some of the observations I would have liked to discuss with the audience there…
Rapidly growing solar PV output has been widely tagged as the cause of low and even negative prices in Queensland. But in any market it’s the behaviour of ALL participants that determines price outcomes. Guest author Allan O’Neil takes a closer look at recent NEM bidding.
Two pages taken from our Generator Report Card following several different requests from people who attended different events recently where the Report Card was discussed.
A few additional thoughts about proposed changes to the MT PASA process, informed by our conclusions in Theme 14 within Part 2 of our Generator Report Card.
Some brief data gathering and analysis, primarily because I could not resist the exploration, of what might have happened with the load shedding in the electricity grid across England, Wales and Scotland on Friday last week.
Last week’s notable under-frequency load shedding in Great Britain following what appears to be the loss of two generation units in quick succession prompts me to publish some of the analysis of aggregate levels of inertia supplied by synchronous generators in South Australia as part of the Generator Report Card.
Coincidentally this week it seems to me that we’re facing storm warnings on two different fronts – one literal (and much easier to prepare for), whilst the other one is metaphorical and operates at several different levels (and is much, much more difficult to manage).
Worth sharing the level of detail we’re going to, in Part 3 of the Generator Report Card (5 parts in total), where we have assembled millions of data points into a single page summarizing the last 10 years of performance of a particular generation unit. There’s a page for each operational unit (327 in total).
We’re taking a much, much deeper dive into generator performance at high temperatures (for all DUIDs operational across the NEM) to see how each one of them, individually, is affected by high temperatures. Guess which one this “mystery DUID” is and we’d look forward to providing some form of prize…
Sharing a trend of daily capacity factor across all Large Solar plant (post commissioning) in the NEM (preliminary analysis for our Generator Report Card).
With another upsurge in interest in the effect of Hazelwood closure on price outcomes in the NEM, we’ve invested some time to provide these thoughts.
Guest author, Drew Donnelly, compares case studies of Argentine and Australia to highlight risks in under and over-investment in network infrastructure
A note of caution, that Demand Response is not a magic wand – it *can* achieve a lot, but if can’t be assumed to automatically appear to bridge any gap between supply and demand in a market model, for instance.