No, I don't work in frequency regulation. If you want to hire me into it however, I might be interested.
I don't know what sort of concepts you mean, and as I said earlier, the main issue is how you get the grid as a whole to do large-distance load-balancing/load-shifting. These decisions can't be made local for lack of insight into how loaded long-distance transmission lines are and how throttled different regions are, and therefore which regions you want the power to come from. There are certain industrial loads that can be time-shifted, and some that are only worthwhile to operate at lower prices, where reduced utilization (and thus increased capex) has to be hedged against higher energy prices (and thus increased opex).
If you get fine-grained surge pricing for consumers combined with some forecasting and automatic decision making to e.g. shut devices off during surges or incentivize people to use the electric shower/kettle at a different point in time, you should get by without any fossil fuels at all.
Think like adjusting clock speeds/power targets of servers depending on momentary prices, to best balance capex and opex (batch jobs only), or adjust the energy you expend on video encoding for live streams to balance perceived quality and costs.
Obviously adjust EV charging. With e.g. minimal range targets for different points in time, or user-friendly ways of expressing the trade-off between higher range for the next day (and thus more freedom) and higher costs (kWh required during the EV's stay at the charger).
It could even go to distribute charging stops based on forecasts for energy prices/availability, so you use the flexibility in when exactly to stop on a long trip for load-shaping the power grid.
No, I don't work in frequency regulation. If you want to hire me into it however, I might be interested.
I don't know what sort of concepts you mean, and as I said earlier, the main issue is how you get the grid as a whole to do large-distance load-balancing/load-shifting. These decisions can't be made local for lack of insight into how loaded long-distance transmission lines are and how throttled different regions are, and therefore which regions you want the power to come from. There are certain industrial loads that can be time-shifted, and some that are only worthwhile to operate at lower prices, where reduced utilization (and thus increased capex) has to be hedged against higher energy prices (and thus increased opex). If you get fine-grained surge pricing for consumers combined with some forecasting and automatic decision making to e.g. shut devices off during surges or incentivize people to use the electric shower/kettle at a different point in time, you should get by without any fossil fuels at all. Think like adjusting clock speeds/power targets of servers depending on momentary prices, to best balance capex and opex (batch jobs only), or adjust the energy you expend on video encoding for live streams to balance perceived quality and costs.
Obviously adjust EV charging. With e.g. minimal range targets for different points in time, or user-friendly ways of expressing the trade-off between higher range for the next day (and thus more freedom) and higher costs (kWh required during the EV's stay at the charger). It could even go to distribute charging stops based on forecasts for energy prices/availability, so you use the flexibility in when exactly to stop on a long trip for load-shaping the power grid.