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Industry experience

Energy

Operating models in which demand, physical logistics, equipment availability, procurement and staffing interact.

Anonymised portfolio applications

02

No client names or exact result figures are published.

Typical challenges

  • Optimise fuel and port logistics
  • Test equipment availability
  • Compare purchasing rules
  • Evaluate staffing and outsourcing options
  • Increase production and supply-chain responsiveness

Relevant Somos-Co capabilities

Somos-Co project references

Named projects with a disclosed maturity level

These references come from the published Somos-Co project record. They remain separate from anonymised Dynamic Modeling applications and retain their evidence and claim boundaries.

  • Relevance to this industry

    SolArt is a Somos-Co owned venture in the energy-technology environment. The case study documents the connected development and operating scope from mechanics and firmware through telemetry, a digital twin and platform operations; simulation and physical measurement remain explicitly separate.

    Owned venture

    SolarTracker (Dual Axis)

    SolArt · Owned Venture

    Make photovoltaic yield more even across the year and substantially higher in winter.

    Dual-axis photovoltaic tracking system with a physical prototype, IoT telemetry, control software and an interactive digital twin.

    Role
    Owned venture — development and operations
    Status
    Prototypes and simulation; long-term physical validation ongoing
    Read the case studysolart.at

Selected applications

Documented decision questions from practice

The examples are anonymised and summarised qualitatively. They describe modeling questions, scenarios and KPI types—not verified client outcomes.

  • Power generation

    Operating model for port and fuel logistics

    Business challenge
    How do unloading, stockpiles, equipment, ordering rules and staffing respond to fluctuating demand and disruption?
    Business outcome tested
    The model quantified operational drivers, located a constraint and compared availability, ordering, staffing and outsourcing scenarios.

    Typical KPIs

    • Vessel waiting and berth time
    • Availability
    • Inventory and quality
    • Shifts and overtime
    • Penalties
  • Renewable-energy equipment

    Production and supply-chain responsiveness

    Business challenge
    Which production and inventory rules support short response times across different demand and product structures?
    Business outcome tested
    The scenarios compared network, production and inventory rules and prepared a qualitative steering recommendation.

    Typical KPIs

    • Customer lead time
    • WIP
    • Manufacturing cost
    • Inventory turns
    • Revenue

Relevant solutions

  • Owned venture · Beta validation

    Solar Tracker Platform

    An owned venture connecting physical tracking prototypes, control logic, IoT telemetry, a digital twin and platform operations.

    Explore the solution

  • Documented capability

    Digital Twin Solutions

    Represent business processes and physical systems digitally, compare scenarios and test decisions before implementation.

    Explore the solution

Problem Check

Which business decision needs a more reliable basis?

Describe the challenge, affected process and timeframe. In an initial Problem Check, we clarify which questions a dynamic model should answer.

Schedule a Problem Check

Or write directly to the relevant area

Discuss transformation

For operational questions, transformation mandates, ERP and digital programmes, and benefits validation.

peter.somos@somos-co.com

Discuss digital delivery

For applications, platforms, IoT and digital-twin work, and managed operations.

vencel.somos@somos-co.com