Where thermal-centred flexibility creates value
EnerVectum is designed for customer sites where electricity, heat, storage, PV, EV charging, grid constraints and intelligent control can work together as one flexibility system.
Relevant sites are not defined by one technology
EnerVectum is most relevant where several energy challenges overlap: heating demand, PV surplus, peak tariffs, grid limitations, EV charging plans, electrification pressure or the need for more resilient local energy operation.
Commercial buildings
Offices, mixed-use buildings, schools, hotels, healthcare buildings and public properties with heating demand, electricity-cost exposure and increasing flexibility needs.
- Peak reduction
- PV self-use improvement
- Heating and hot-water flexibility
- EV charging support
Light industry
Industrial and workshop environments with process heat, space heating, recovered heat potential, power constraints or future electrification needs.
- Heat-side flexibility
- Waste-heat utilisation
- Load shifting
- Resilience and energy optimisation
Real-estate portfolios
Property owners with multiple sites can use repeated flexibility concepts across buildings instead of solving each energy problem separately.
- Portfolio-level replication
- Standardised pilot model
- Energy-cost learning across sites
- Future financeable deployment
PV-rich sites
Sites with exported or underutilised solar production can use thermal storage and intelligent control to increase the local value of renewable electricity.
- PV surplus absorption
- Lower export dependency
- Useful heat creation
- Better local energy balance
EV charging and grid-constrained sites
Locations preparing for EV charging may need flexibility to reduce grid stress, manage peaks and coordinate charging with building energy demand.
- Peak management
- Charging coordination
- BESS and TES coordination
- Grid-capacity support
Local energy hubs
Sites or clusters where several energy assets can be coordinated locally to create resilience, optimisation and future flexibility-service opportunities.
- Multi-asset orchestration
- Local energy resilience
- Hybrid storage strategy
- Future flexibility markets
Common customer challenges
Many buildings and industrial sites already have several energy assets, but these assets are often operated separately. PV production, heat demand, EV charging, batteries, heat pumps and grid electricity can create more value when managed as one system.
EnerVectum focuses on these overlap zones, where the right combination of thermal storage, electrical flexibility and intelligent control can improve the overall energy strategy.
Typical triggers
- High or increasing electricity costs
- Peak-power tariffs or grid-capacity limits
- Solar PV export with low local use
- Heating demand that could be shifted
- EV charging expansion plans
- Need for improved resilience and energy autonomy
- Interest in future flexibility or energy-service models
Value is created by coordinating the system
The platform is not limited to one asset. The value comes from combining the right assets, at the right site, with the right operating logic.
Good first pilot sites usually have
- Hourly electricity consumption data
- PV production and export data, if available
- Heating and hot-water demand information
- Electricity tariff and peak-power cost information
- Space for modular equipment or test installation
- Operational openness to measured validation
- A motivated property owner, site manager or energy decision-maker
How we qualify applications
Not every site is the right first EnerVectum site. We prioritise applications where the technical logic, commercial value and replication potential are visible from the beginning.
A good application is not only a place to install technology. It is a platform for proof: technical validation, customer value, partner learning and future scale.
From application fit to pilot pathway
EnerVectum works with customer sites and partners to move from initial opportunity screening to a structured pilot concept, with clear data needs, responsibilities, validation logic and commercial learning.