Nonagon

Maximize Efficiency Across Every Asset in Your Portfolio

Volue BoFiT is the no-code optimisation and planning platform for complex portfolios spanning electricity, heat, steam, gas, and hydrogen, delivering mathematically proven plant schedules, automated trade recommendations, and decarbonisation pathway modelling.

Multiple Commodities Portfolio at Maximum Efficiency.

Volue BoFiT is built for energy portfolios where multiple commodities interact: electricity and heat, steam and gas, power and hydrogen. It models that complexity into a single Mixed-Integer Linear Programming (MILP) model and solves it to produce technically feasible, margin-maximising plant schedules — across every planning horizon, from long-term investment decisions to intraday market execution. And as your portfolio evolves — adding heat pumps, electrolysers, or battery storage on the path to net zero — BoFiT models the transition scenarios before you commit capital, and optimises the new assets from day one. No coding or mathematical expertise required.

KEY FEATURES

Portfolio Optimisation

BoFiT translates your asset portfolio into a Mixed-Integer Linear Programming (MILP) model — solved by industrial-grade CPLEX or GUROBI solvers — to produce technically feasible, margin-maximising plant schedules across all planning horizons. A graphical library of 150+ pre-built components (CHP plants, heat pumps, storages, electrolysers, heat networks, and more) means your energy engineers model and maintain the portfolio themselves, without solver expertise or custom code.

Multi-Commodity Forecasting

BoFiT includes integrated forecasting for all commodity streams in a multi-energy portfolio: electricity generation and consumption, heat demand, steam, gas, and market prices. Models — ANN, SARIMAX, regression — are built and recalibrated directly within BoFiT, eliminating the data handoffs between disconnected systems. Because forecasting and optimisation share the same platform, every schedule is driven by the most current forecast available — not a version exported hours earlier.

Intraday Trading Integration

BoFiT generates cyclical trade recommendations from real-time order book data, keeping your intraday position aligned with the current portfolio state throughout the trading day. Direct market access customers connect via Volue Intraday AlgoTrader; indirect access customers connect via PowerBot. For existing ITA users: BoFiT's Intraday Package is the migration path — plan the transition now.

Workflow Engine

The Workflow Engine automates data transfers, optimisation runs, forecast recalibrations, and reporting on configurable triggers — new price forecasts, SCADA arrivals, market deadlines, or scheduled windows. Once set up, dispatch operators focus on exceptions rather than process execution. For multi-site and third-party asset portfolios, this automation is what makes scaling without headcount growth operationally viable.

Thedora Dashboard

Thedora Dashboard is a cloud-based monitoring interface available as an optional SaaS add-on. It gives dispatch operators and portfolio managers a real-time view of portfolio state, optimisation results, forecasts, and market positions — from any browser, anywhere. No additional IT infrastructure required. Available as a SaaS subscription bundle alongside BoFiT.

Portfolio Optimisation

BoFiT translates your asset portfolio into a Mixed-Integer Linear Programming (MILP) model — solved by industrial-grade CPLEX or GUROBI solvers — to produce technically feasible, margin-maximising plant schedules across all planning horizons. A graphical library of 150+ pre-built components (CHP plants, heat pumps, storages, electrolysers, heat networks, and more) means your energy engineers model and maintain the portfolio themselves, without solver expertise or custom code.

BENEFITS

Mathematically Proven Schedules

Every BoFiT plant schedule is technically feasible, constraint-compliant, and mathematically proven to maximise contribution margin — not an approximation, a guaranteed optimum.

Energy Transition

Model, simulate, and optimise decarbonisation pathways before committing capital — then operate the new assets on the same platform from day one. BoFiT handles fossil and green energy carriers side by side as your portfolio evolves.

No Coding Required

Model any multi-commodity energy portfolio using a graphical library of 150+ pre-built components. Your energy engineers build and maintain the model themselves — no external consultants, no custom code.

Integrated Forecast-to-Trade Workflow

From multi-commodity demand forecasting to intraday trade recommendations, BoFiT connects every step of the planning chain in a single platform — with no manual handoffs between systems.

Reduced Imbalance Costs

Continuously updated optimisation and trade recommendations keep your generation position aligned with market reality — minimising costly settlement exposure across day-ahead and intraday markets.

SaaS or On-Premise

Deploy BoFiT as a hosted SaaS solution or on your own infrastructure, with implementation support and ongoing service available in German and English.

USE CASES

Any company generating its own energy across multiple carriers — electricity, heat, steam — faces a daily dispatch challenge that manual planning cannot handle reliably: each commodity stream has its own constraints, costs, and market dynamics, and they are interdependent. Getting to a technically feasible, cost-optimal plan manually takes hours and still can't guarantee the best outcome.

BoFiT handles this complexity in a single optimisation run. The result is a mathematically proven, margin-maximising generation schedule covering the full day-ahead and intraday horizon — traceable, audit-ready, and recalculated automatically as conditions change.

As intraday markets grow more important for managing residual imbalances, energy operators need trade recommendations that reflect the current portfolio state — not a plan calculated hours ago.

BoFiT generates continuous intraday trade recommendations based on live order book data. Customers hold direct EPEX SPOT access via Volue Intraday AlgoTrader and BoFiT keeps the intraday position current throughout the trading day — reducing imbalance costs and capturing short-term market opportunities that manual planning cannot systematically identify.

The most strategically valuable use of BoFiT is often not today's schedule — it is tomorrow's investment decision. Municipal utilities are planning their heat transition (Wärmeplanung), and industrial companies are modelling the shift from fossil to green energy use, using BoFiT to simulate decarbonisation pathways, evaluate new asset configurations, and assess the operational and financial implications before committing capital.

Once the investment is made, those same new assets — electrolysers, heat pumps, BESS, solar thermal — are optimised within BoFiT from day one. The simulation platform and the operations platform are the same, eliminating the gap between planning and execution that typically causes delays and costly surprises.

Energy-intensive industrial companies — in chemical, paper, and manufacturing — generating their own process steam and electricity face the same optimisation challenge as municipal utilities, at industrial scale and complexity.

BoFiT models multi-commodity portfolios spanning power, steam, heat, and potentially hydrogen, calculating the lowest-cost operating strategy while meeting all process constraints and identifying market participation opportunities. For large industrial sites, this translates directly into measurable reductions in energy procurement and fuel costs.

Marketing service providers and energy trading companies managing third-party generation assets use BoFiT to maintain a structured, automated optimisation and forecasting workflow across multiple client portfolios.

The combination of the Workflow Engine and Thedora Dashboard enables centralised oversight and automated reporting, making it operationally viable to manage complex, multi-site portfolios without proportional headcount growth. In Switzerland, one operator has built an Optimisation-as-a-Service model for waste incineration plants on this foundation.

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