No shared view
Heat, electricity, costs, and planning are often assessed separately.
Energy insights for decision-making
One operational model for the energy transition
Reduta Energy enables municipalities, consultants, distribution system operators, and heat utilities to model, compare, and explain energy scenarios. See in every stage which decisions can save millions, where grid capacity is constrained, where the most benefits are and why, and which projects should be prioritised.
Calculations are fully explainable and traceable. People and AI use the same recorded basis.
Immediate value
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Build a local heating and cooling plan end to end with all available data.
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Avoid costly wrong turns by simulating cost, grid impact, and risk in every stage of planning, implementation, and operations.
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Compare heat, electrification, and decarbonisation scenarios in one place.
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Let municipalities, consultants, grid operators, and heat utilities work together on the same data.
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End users using our dynamic models can put their energy questions in plain language and get instant relevant and traceable answers.
The challenge
Fragmented information slows energy decisions
Data, studies, and assumptions often sit across separate systems and organisations. This makes scenarios difficult to compare and decisions hard to explain.
Difficult comparisons
Reports, assumptions, and model outputs lack one shared context.
Hard to justify
Executives, residents, and partners need clear and traceable explanations.
The solution
One operational model for better energy choices
Reduta Energy integrates documents, data sources, GIS‑layers, grid information, heat‑needs assessment outputs, consultancy reports, and assumptions (as is) into one coherent working model. Reduta provides a platform where real‑time data is combined with simulation and AI so processes and decisions become more predictable, auditable, and open to innovation. The platform runs in a private or public cloud and can connect to and form part of digital twins. The platform does not replace existing systems and reports. It connects them so AI, simulation, monitoring, and decision-making work within one operational layer.
Analyse a region or municipality, then zoom in to neighbourhoods, networks, projects, and individual homes. Compare scenarios at every level.
Studies · PDF studies · Excel models · GIS layers · Grid data · Heat-needs assessments · Consultancy reports · Assumptions · Open datasets
Buildings · Residents · Sources · Low-voltage grid · Heat networks · Cost · Assumptions · Stakeholders · Constraints
2026 · 2030 · 2035 · 2040 · Insulation · Heat pumps · Heat networks · Batteries · Grid reinforcement · Phasing · Macro effects · Energy prices
Cost · Grid loading · Constraints · Deliverability · Resident impact · Social effects
Scenario comparison · Local heating plan · Grid impact note · Executive justification · Resident briefing
Relevant for
Reduta Energy is built for multiple stakeholders that have to justify energy-related options and decisions
Municipalities, consultants, grid operators, and heat utilities all work on the same energy transition, often with different data and priorities. Reduta brings that information together in one Digital Twin so choices can be justified faster and more thoroughly and aligned better.
From legal obligation to a substantiated energy provisioning, transition and concrete plan
Make proposals and decisions on heat, electrification, and infrastructure that can be explained to executives, councils, residents, local entrepreneurs, and regulators.
- Move faster from scattered information to strategic and operational decisions.
- Clear comparison between scenarios.
- Traceable justification for energy provisioning and transition, including local heating plans.
- Less risk of divestments or hard-to-explain choices.
Make studies usable, visual, and directly actionable in decisions
Reduta places reports, models, and assumptions in the wider energy system. Studies are not only delivered, but immediately usable in scenarios, maps, visualizations (e.g. grid load, heat networks), and executive trade-offs.
- Higher value per study.
- Less time spent on explanation, revisions, and one-off visuals.
- Scenarios directly comparable based on costs, social and technical impact.
- Results clearer for municipalities and all, also non-technical stakeholders.
Plan infrastructure from shared scenarios
See how choices by municipalities, residents, and energy partners affect grid loading, capacity, investment, and phasing.
- Faster alignment with municipalities and partners.
- One shared view of energy production, consumption, storage, and infrastructure.
- Insight into grid impact, congestion risk, and coupling opportunities.
- Better prioritisation of investment and connection strategies.
Three stages
From business case to day-to-day operations
Reduta uses the same model, data, and scenarios in every stage.
Design
Calculate and compare business cases. Support proposed decisions, communication, and reporting.
Implementation
Create feasible, shared plans. Coordinate delivery and adjust plans when conditions change.
Operations
Monitor the energy system. See when adjustments are needed and evaluate new solutions.
AI & Simulation
AI supporting calculations, comparisons, and justifications
The AI agent works from the start on the same operational model as the calculations. Users and the agent work with the same recorded sources, assumptions, and calculation steps.
Which districts hit grid capacity first if we accelerate electrification?
How do cost and implementation phasing change if we compare district heat and all-electric?
Which assumptions separate an operational-feasible scenario from an infeasible one?
Stakeholders on one page
One shared basis for municipality, consultant, grid operator, and heat utility
Internal teams and partner organisations work with the same data, assumptions, and scenarios. They can align plans and support interim decisions together.
Bring data (sources) together
Studies, grid information, GIS data, assumptions, and local knowledge land in one dynamic working model.
Work on shared scenarios
Parties discuss shared and agreed visions and approaches instead of assumptions based on static partial reports.
Justify decisions faster
Executive choices, investment decisions, and resident communication rest on a traceable basis with the same starting points, enriched data, and methodology.
In development
Two new extensions on the same Reduta core
Both extensions are coming soon and use the same data model, scenario engine, and AI agent.
ESDL and WarmingUP
Exchange heat network models through ESDL between Reduta and specialised WarmingUP tools.
Electricity grid reinforcement
Simulate future loads and translate required grid reinforcement into spatial delivery plans.
Demo
See how you build a local heating and cooling plan from start to finish
In the demo we show how a municipality uses Reduta Energy to build a local heating and cooling plan: from scattered (data) sources and assumptions to relevant scenarios, simulations, maps, cost comparison, and executive justification.
About Reduta
Built by simulation experts. Applied to advanced public systems
Reduta Solutions develops digital twins based on operational AI and simulation platforms for complex challenges and (critical) infrastructures. Our background spans energy systems, high-performance simulation, infrastructure, crowd modelling, healthcare operations, and defence.
Reduta Energy applies that experience to the energy transition: not as a standalone calculator, but as an operational platform for scenarios, collaboration, and explainable decisions.
Book a demo
Want to see how it works and what Reduta Energy can do for your organisation?
In a demo we show how your data, studies, and scenarios can come together in one operational model.
Book a demo
We are happy to schedule a no-obligation meeting with you.
Questions? [email protected]
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