G4iE / DANISH ENGINEERING & INNOVATION
We connect energy-system engineering, physics-based digital twins and AI-assisted optimisation to assess industrial flexibility and support practical decisions.
01 / ABOUT G4iE
G4iE — Group for Innovative Engineering — is a Danish engineering and innovation company working across the interfaces of power, heat, storage and hydrogen.
We bring technical design, electrical and thermal modelling, and economic analysis into one conversation. That helps research teams and industrial partners see trade-offs early and choose a credible path forward.
G4iE combines core energy-engineering expertise with project-specific specialist resources and technical collaborations, enabling multidisciplinary delivery across modelling, optimisation, AI and software development.
See our approachG4iE is a beneficiary of IN4GRID, a €4 million Horizon Europe Research and Innovation Action advancing AI-enabled flexibility, grid integration, and coordinated distributed energy resources and storage.
For future collaborative R&D, G4iE can contribute industrial energy-system modelling, digital twin development, flexibility assessment and optimisation, AI-model engineering validation, techno-economic evaluation and industrial demonstration support.
These are potential contributions to new collaborations. Confirmed IN4GRID responsibilities follow the agreed project work plan.
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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them.
02 / CAPABILITIES
Engineering-led, physics-based work from system concepts and evidence to pilot design and implementation support.
We model hybrid energy systems that combine renewables, battery energy storage systems (BESS), thermal storage and grid interaction, assessing flexibility and continuity of service for industrial and critical loads.
We develop physics-based digital twins that combine electrical, thermal and industrial models with data-driven methods. AI-assisted demand and renewable-generation forecasting supports energy management, optimal dispatch and model predictive control.
Flexibility studies cover BESS, thermal storage, heating, ventilation and air conditioning (HVAC), and industrial loads. AI algorithms are validated and benchmarked in simulation.
We assess hydrogen integration, Power-to-X (PtX) pathways, biogas and renewable fuels, considering their electrical, thermal and process interfaces within the wider energy system.
We evaluate technical feasibility, capital and operating expenditure (CAPEX/OPEX), levelised costs of energy and hydrogen (LCOE/LCOH), lifecycle impacts and carbon intensity to support scenario comparison and investment decisions.
We support concept and basic engineering, process flow diagrams (PFDs), piping and instrumentation diagrams (P&IDs), equipment integration and technical specifications for thermal, process and carbon-management systems.
Computational fluid dynamics (CFD) supports assessment of heat transfer, fluid flow, pressure distribution and thermal performance. Pilot and demonstration support is scoped to project needs.
AI models for energy systems need more than a good prediction score. We use physics-based simulation and engineering benchmarks to assess their behaviour under declared operating conditions.
Depending on the project scope, deliverables can include validated simulation environments, benchmark datasets, scenario analysis, technical KPIs and model-performance assessments. Validation scope, assumptions and acceptance criteria are agreed for each project; site performance and operational safety require appropriate project-specific evidence.
Developing a Horizon Europe proposal or industrial energy demonstration? Discuss modelling, flexibility, digital twins and engineering validation with G4iE.
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Illustrative imageryPOWER / HEAT / STORAGE / HYDROGEN
Generation, conversion, storage and demand influence one another. We study those interfaces together, so a promising component becomes a workable system.
03 / HOW WE WORK
Every assignment begins with the operating reality: constraints, data quality, interfaces and the decision the work must support.
Work with usDefine system boundaries, operating needs, assumptions and success criteria.
Connect engineering models with cost and operating scenarios to reveal trade-offs.
Present the evidence, uncertainties and design choices in a form teams can use.
04 / APPLICATIONS & FOCUS AREAS
G4iE supports research and industrial teams with system integration, decarbonisation and demonstration planning.
Illustrative imageryWe help define engineering interfaces, model operating scenarios and compare designs for pilots and demonstrations. Technical, techno-economic and lifecycle evidence grounds the next implementation step.
Discuss a collaborationOptimising renewable generation, storage and industrial electricity consumption under real operating constraints.
Supporting AI-enabled energy management for interconnected electricity, heat and storage systems.
Developing simulation environments and engineering benchmarks for testing emerging AI solutions before industrial deployment.
TECHNOLOGY FOCUS
05 / NETWORK & REFERENCES
Formal memberships and network participation are shown separately from references.
MEMBERSHIPS & NETWORKS
MEMBER
NETWORK PARTNER
Current funded R&D
G4iE’s IN4GRID beneficiary participation is presented in the European R&D section.
06 / LET'S CONNECT
Tell us about your energy system, R&D proposal or industrial demonstration. We can discuss modelling, flexibility, digital twins and engineering validation.
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