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What does Tibo Energy do?

This article explains what Tibo Energy does, including how its cloud-based Energy Management System (EMS), AI engine Alice, and digital twin simulations help you avoid grid congestion, reduce energy costs, and lower emissions.

Written by Jeroen Pleunis

Tibo Energy provides a cloud-based Energy Management System (EMS) that helps you avoid grid congestion, save energy costs, and reduce emissions. Using AI and digital twin technology, it lets you simulate, optimize, and control energy assets in real time.

Overview

Tibo Energy is an Energy Management System (EMS) delivered as Software-as-a-Service (SaaS).
With Tibo you can:

  • Prevent or mitigate grid congestion

  • Lower operational energy costs

  • Reduce CO₂ emissions and support sustainability goals

  • Simulate future scenarios before investing in new hardware

  • Centrally monitor and control all key energy assets

It does this by combining:

  • A cloud-based EMS

  • AI optimization (Alice)

  • Digital twin simulation

Cloud-based Energy Management System (EMS)

Tibo Energy’s EMS is a cloud-based Software-as-a-Service platform.

Connect any compatible hardware

The EMS can connect to hardware from any manufacturer that supports:

  • MODBUS

  • OCPP

This means you can integrate and centrally manage:

  • Solar PV inverters

  • Battery storage systems

  • EV charging stations

  • Other controllable loads and energy assets

Centralized control and monitoring

Once connected, the EMS lets you:

  • Monitor real-time and historical energy usage

  • Track performance of all connected assets

  • Configure control strategies and settings remotely

  • Run and compare simulations vs. real-life performance

The goal is to give you one central place to manage and optimize your entire energy system.

AI Optimization: Alice

Tibo Energy’s AI engine is called Alice.
Alice uses real-time data and forecasts to optimize how and when your assets use or store energy.

What Alice optimizes for

Alice is designed to:

  • Reduce energy costs

  • Avoid grid congestion and peak loads

  • Support sustainability and CO₂ reduction targets

To do this, Alice can use inputs such as:

  • Weather forecasts

  • Energy market prices

  • Asset status and capacity

  • Site constraints and business rules

Key AI features

1. Dynamic decision-making
Alice continuously makes real-time, adaptive decisions. It can respond to:

  • Fluctuations in solar production

  • Changes in demand at your site

  • Variations in grid availability or tariffs

2. Microeconomic optimization
Alice operates using microeconomic principles: it looks at cost and value at each moment and adjusts energy flows to:

  • Charge or discharge batteries at the most economical times

  • Shift loads to cheaper or less congested periods

  • Prioritize assets based on your defined goals

3. Sustainability focus
Alice supports sustainability by:

  • Maximizing self-consumption of renewable energy

  • Reducing unnecessary grid imports

  • Limiting peak loads that drive up emissions and grid stress

Which assets Alice can manage

Alice works on top of the EMS to provide advanced optimization and control. It can manage, among others:

  • Solar panels – deciding how much energy is used on-site vs. exported

  • Battery storage – deciding when to charge or discharge

  • EV chargers – controlling charging schedules and power levels

Based on your goals (e.g. “minimize energy cost”, “avoid grid congestion”, “maximize self-consumption”), Alice determines the most efficient use of each asset in real time.

Simulation with Digital Twin Technology

Before making hardware investments or changing your setup, you can test everything in a digital twin.

What is the digital twin?

A digital twin is a virtual copy of your physical energy network. It uses real or representative data to:

  • Recreate how your site behaves today

  • Simulate any combination of future scenarios

This helps you answer “what if?” questions without risk or upfront investment.

Typical simulations

Most partners start by using the digital twin to compare:

  • Current setup vs. future scenarios

  • Different battery sizes

  • Different numbers or types of EV chargers

  • The impact of additional solar capacity

For example:

  • To find the optimal battery size, you can simulate multiple capacities and compare:

    • Savings

    • Peak load reduction

    • Return on investment

  • To understand the impact of a new EV charging plaza, you can:

    • Add the chargers to the digital twin

    • Run simulations under different load and pricing conditions

    • Generate a simulation report to share with your customer or stakeholders

Each simulation generates a report that you can use for:

  • Business cases and proposals

  • Internal decision-making

  • Customer presentations

From Simulation to Live Control (Implementation Flow)

Once you and your customer agree on the optimal setup, you can move from simulation to live EMS control.

1. Agree on hardware and terms

After simulations, you:

  • Decide on required hardware upgrades (e.g. batteries, chargers, PV)

  • Align on commercial terms with your customer

2. Install hardware and Tibo gateway

While new hardware is being ordered and installed:

  • Tibo Energy prepares a gateway device

  • The gateway is installed on site to enable secure communication between:

    • The physical assets

    • The cloud-based EMS

3. Connect assets to the EMS

Once the gateway is in place:

  • All assets (inverters, batteries, chargers, etc.) are connected

  • Data starts flowing to the EMS

  • Control channels are tested and validated

4. Configure and activate EMS + Alice

Finally, Tibo configures the EMS based on the agreed goals and constraints. Then:

  • The EMS is activated to manage the site

  • Alice starts optimizing in real time based on:

    • Your chosen strategy

    • Live data and forecasts

From this point onward, the site is actively managed and optimized by Tibo Energy’s EMS and AI.

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