electric vehicles

the key resource of flexible demand

as previously untapped demand-side flexibility potential continues to unfold, e-mobility is poised to experience yet another economic upswing. flexibility from electric vehicles is set to outperform the growth of all other forms of flexibility in the near future.

even though most EVs are charged correspondent to their technical constraints, they can be easily configured to consume electricity when it’s beneficial for the grid, saving money and emissions in the process. it all comes down to optimally designing a price-conscious charging profile with the volatility of intraday market conditions in mind. once a smart charging infrastructure is in place, it can be enhanced with bidirectional chargers, applying the same flexibility information to vehicle-to-grid (V2G) technologies.

"e-mobility is here to stay and will soon revolutionize the flexibility market. mobilize an additional revenue stream by merging your EV fleet with our intuitive smart charging services and join us at the forefront of vehicle-to-grid (V2G) innovation."

Wesley Vinken

lead generation expert

your competitive advantage powered by enspired

when optimizing your or your customer's EV portfolio, you can reduce costs and carbon footprints by charging at times with low emissions. as with any other type of flexibility, optimizing across all available market phases results in the highest cost efficiency.

localizing flexibility information as precisely as possible is a core challenge as inaccuracies or missing information can quickly lead to a reduction of useable flexibility. with some basic data like SoC at start of the charging process, maximum charging speed and expected SoC at a defined point in time, the required specifications for the flexibility are fixed.

when we trade your EV portfolio, we consider all technical restrictions including thermal parameters and the ability to initiate remote charging. as soon as you convert your smart charging portfolio into a V2G battery, all relevant discharging restrictions such as roundtrip efficiency and cycles are taken into account. we save up to 40% of energy costs by updating the charging schedule in real-time on intraday markets.

"thanks to the collaboration with enspired, we can now offer our customers tailored tariffs and smarter charging setups. we are very grateful to be part of such a revolutionary team effort, which has shown that an ecosystem of electric fleets is economically feasible."
Christian Purrer
executive spokesman of Energie Steiermark

Q&A
electric vehicles

what is the difference between load management and smart charging?

while load management prevents technical limitations such as grid access capacity from being violated, smart charging leverages short-term power markets to procure at favourable prices. based on the available flexibility and the current price situation, single or aggregated charging profiles can be continuously optimized until shortly before physical delivery.

how can you save so many costs compared to other smart charging solutions?

the wholesale market consists of different market phases – auctions and continuous. while auctions allow for an initial optimization the day before physical delivery, continuous markets can be used to reoptimize every millisecond. for example, if there is more wind in the afternoon than expected, prices will most likely drop, and it may be cheaper to charge during this period. as weather is hard to predict, the situation can change quite often during the day. to save costs, execution on power exchanges is necessary.

what are the prerequisites for using your smart charging service?

from a commercial perspective, you need a flexible tariff that reflects short-term power prices. in case you have a fixed tariff, changing the charging profile will not result in relevant saving as the kWh will cost the same at any point in time. from a technical perspective, a description of the available flexibility consisting of timeframe, required energy and maximum charging speed is key to achieve optimal results.

how do you know how much flexibility you can use?

ideally, starting SoC, maximum charging speed and expected SoC at the end of the session are available. if parts of the information are missing, we must work with approximations, will might reduce available flexibility.

what is missing to make V2G work?

from the commercial optimization perspective, V2G works like a virtual battery, which our service already supports. nevertheless, a bidirectional charging infrastructure is very expensive, and the discharging capacity of EVs is lower than you would expect. that is why the market has not yet finalized roles and responsibilities.