The Berkeley Lab's Energy Markets & Policy department conducts technical, economic, and policy analysis of energy topics centered on the U.S. electricity sector. Our current research seeks to inform public and private decision-making on public-interest issues related to energy efficiency and demand response, renewable energy, electricity resource and transmission planning, and electricity reliability.
ERCOT has too many grid-following inverters powering off their solar panels. They need to migrate to grid-forming inverters GFM to improve reliability when faults occur. As solar panels continue to improve on efficiency and lower prices with the addition of battery storage to handle peaking ERCOT will add more PPA and eventually stabilize pricing over the next ten years. Keep in mind some grids outside of ERCOT are seeing 163% overproduction on sunny days which they store on batteries for providing peaking power from 4-8pm. Without batteries, ERCOT cannot sell access power to other grids because they are on their own grid.
@@Carl_in_AZGoogle "eia power monthly" look at the maps. The details are in Chapter 6, 6.5 and 6.6. Texas is adding a lot of grid batteries. And of course, grid inverters need to move from we're a rounding error perspective, to we are the 500lb gorilla perspective.
Thank you for the informative webinar. While watching the video, I had a question. I'm curious if it's possible to install PRESTO model. It seems that only simulation websites are publicly available, so I'm wondering if it's not possible to download the tool separately. Thanks :)
Advanced Customer Segmentation How people make energy decision? Economists. Everyone uses energy in different ways. 4:00 How the average customer consumes electricity. 5:00 Variety is load usage. Variety of end use, doesn't mean consistency of end use. AC ownership segmentation when they use it in different ways. 6:25 Customer energy consumption groups. Daily profiles. We see 4 groups of heavy energy consumption (single large power spike during the day) at 4 different times during the day. 2 don't have much of a peak use, just early and late. And two have dual pears, early and late. 7:30 Characteristic is load shapes. Number of peaks and the time of day that they occur. 8:00 9 characteristics. 1. Base load minimum daily useage. Not controllable. Fridge, sure EE. 2. Discretionary usage - choices. Toaster, Ovens, 3. Peak usage - 4. Pre peak 5. Post Peak 6. Variability in load across days. 10:45 flexible. 7. I am curious is this during a week or a summer month, or is this somehow using daily data over a whole year.
I'm really sorry to report that a wind database means nothing. Wind is a great resource if you live in a state north of Texas up to Montana. There are also a few offshore places where it makes lots of sense. But is doesn't make sense anywhere else. Yes, there are countries in Europe where wind makes a major contribution, but the US is never going to be one of them because the long distances from the places where the resource can be generated and the places where the electricity demand can be satisfied using wind are way, way too far apart to make it genuinely useful. So sorry, but stop wasting our hard won capital on something that won't work!!
Hello from K.W. Bledsoe LLC and partners.In an effort to accelerate the Global energy transition to pv solar renewables. K.W.Bledsoe LLC has launched a Global Utility scale solar Financial support initiative for Global solar projects. Please join me on linked inn and let us Finance your project. It all begins with this Project Intake Form. Project Name Project State Offtaker Type & Credit Size (kW) Year 1 Production (kWh) Specific Production (kWh/kW) Target PPA Rate ($/kWh) PPA Term (yr) PPA Escalator (%) PPA Execution Status (please choose) EPC ($/W) Development Costs ($/W) Interconnection Costs ($/W) All-in Project Costs $/W Interconnection Status (please describe) Ground, roof, or carport? Status of permitting/geotech? Annual Property Taxes ($) Annual Lease Payment ($) Site Control Status (please describe) Applicable Incentives Notice to Proceed Date Estimated System Online Date Interconnecting Utility Current Utility Rate ($/kWh)
Excellent presentation. This is a very relevant and up-to-date subject of investigation. Congratulations, I'll definitely follow the research to learn more about the potential of PV systems to reduce demand charges. This year in Mexico, the Federal utility (CFE) changed the demand structures for medium voltage users, employing the ratchet structure for part of the peak demand (there's another portion of the demand that's not fixed by the year's highest peak), now I see more clearly the reason behind that.
Hi, what is the assumption on how the battery is charged? Is the priority to use the PV energy to charge or always using cheap rates at offpeak hours? Very interesting analysis!
Both but primary off-peak is what I do. I have a residential solar+storage solution. My peak times right now are 5-9am and 5-9pm. So what I do is charge the battery around 1am when we are sleeping. The battery will kick in around 5am and some solar will also be available shortly around 6:30ish. The battery will discharge down to maybe 80% capacity from 5-9am and then it will be charged back up off the solar and grid off peak 10am-5pm. Around 5pm the battery kicks on and teams with the solar until sundown and takes over until 9pm. I was able to get my peak demand charge down to .6 kW. My last bill said that I had 100% on peak reduction and roughly 50% off peak as well.
