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Research and development

New technology powering
the energy transition

Discover:

Thermal storage

Decarbonizing industrial heat is the biggest obstacle on the way to net zero. Thermal storage addresses this challenge, and profitable optimization incentivizes further investments.

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Behind-the-meter

The future grid design will more heavily rely on decentralized assets and residential flexibility, establishing new use cases for commercial optimization in the power markets.

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EV and V2G

Electric cars will eventually phase out diesel- and gasoline-fuelled vehicles, requiring smart, bi-directional charging solutions for future grid resilience. 

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AI

The modern trading world is shaped by automation and, in the next phase, augmentation. We are pioneering this development by integrating machine and reinforcement learning.

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Innovation at enspired

We make new energy tech profitable to help customers optimize their business case and drive forward the energy transition.

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Interested in heat storage and industrial decarbonization?
Learn more in our case study with Kyoto

Thermal storage

What is it and why does it matter?

Thermal storage is a key technology for decarbonizing industrial heat. Relying largely on fossil fuels, the heat sector currently accounts for half of the global energy consumption and 40% of emissions. Thermal storage systems, such as heat batteries, are charged from the grid or renewable sources to supply emission-free heat and significantly reduce the industrial carbon footprint. 

Market status

The International Energy Agency (IEA) projects industrial energy demand in the EU to reach around 3,200 TWh annually by 2030 due to rising electrification rates of up to 70% across all industrial sectors. Industrial processes between 200°C-1,000°C are considered the most promising applications for thermal storage, equating to an EU market potential of approximately 1,000 TWh per year by 2030.

Development at enspired

We’ve been supporting a thermal storage partner for over two years, and the research shows that the competitive commercial optimization of asset charging is vital for making a heat storage business case bankable. We’re currently seeking additional partnerships with thermal storage companies to contribute more capacities and move the heat transition forward.

Behind-the-meter

What is it and why does it matter?

Behind-the-meter (BTM) assets are storage systems connected to the distribution grid on the consumer side of the energy meter, usually installed alongside a renewable generation unit. BTM use cases typically include peak-shaving, load shifting, and demand response. Additional value can be generated through aggregation in virtual power plants (VPPs), which enable small-scale assets, such as household batteries, to participate in the European power markets.

Market status

The market size of BTM setups has expanded significantly in recent years, with 22 GW currently online in Europe, according to LCP Delta. With regulatory incentives such as those on grid fee structures, further growth is expected in the BTM sector, both for C&I and residential applications.

Development at enspired

We optimize BTM storage across multiple markets to unlock new revenue streams through AI-based trading and VPP integration. Our service supports pilot and commercial-scale BTM projects in various sectors, from transportation to energy-intensive industries. In collaboration with aggregators, suppliers, and asset developers, we’re building a VPP ecosystem that creates new value capture opportunities for small-scale assets and enables their business case. Profitability is key to ensuring continued investments in renewable energy in all sectors and at all levels.

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Want to learn more about the potential of BTM assets?
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Are you planning a V2G project?
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Interested in heat storage and industrial decarbonization?
Learn more in our case study with Energie Steiermark

EV and V2G

What is it and why does it matter?

Vehicle-to-grid, or V2G, is a smart charging solution that allows bi-directional charging of electric vehicle (EV) batteries. This means it can extract energy from the grid and supply it back to the grid. Optimizing charging profiles within this bidirectional structure reduces costs and carbon emissions. 

Market status

The European Commission projects EV electricity consumption to account for 11% (up from 1%) of the total demand by 2040. Unmanaged, this will create serious problems for the power system and increase pressure on the grid. Some EU member states have established targets to address these challenges. Germany, for instance, will require a minimum of 30% of EVs to be bidirectional by 2030.  

Development at enspired

We trade EV portfolios in accordance with technical limitations, including discharging restrictions such as cycles and round-trip efficiency (RTE). By adapting EV charging schedules in real time on intraday markets, we save up to 40% of energy costs. In collaboration with an industry partner, we are implementing the optimization of their e-bus fleets for deployment in 2025, with the bi-directional application following the year after.

AI

What is it and why does it matter?

In trading and optimization, AI refers to software or algorithms that improve the commercial performance of a power asset through data and automation. Through AI integration, we eliminate the need for physical trading desks and manual processes, avoiding exposure to human error. 

Market status

According to EPEX SPOT, API already made up 72% of all trading volumes in Central Western Europe in 2024. This number is expected to grow due to several reasons:

  • Forecast mismatches in renewable energy generation and power consumption affect intraday pricing. AI enables more accurate forecasting, which reduces risk.
  • Rule-based strategies struggle to adapt to ever-changing market conditions. An intelligent, data-driven approach uses automation to stay ahead of market dynamics.
  • Rule-based strategies covering all market factors are challenging to design. AI models can identify patterns in input data at a scale and speed that’s impossible for humans to process. 

Development at enspired

Our AI-based forecasts are essential to client strategies, as they give us crucial market insights and enhance commercial asset performance. Beyond AI, we integrate machine learning (ML) and reinforcement learning (RL) into our optimization models to derive sequential, data-driven, and outcome-based trading decisions. This approach enables scaling across different products and markets.

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