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Envelio is a SaaS Platform to digitize and automate planning and operation processes of distribution grid operators. It enables the mass integration of distributed and renewable generation, charging points for electric vehicles as well as electric heating and cooling appliances into the power grid.
Published July 16, 2020
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Updated May 16, 2025
Power & Utilities
Asset Management & Digitization
Distributed Energy Resources
Product Overview
Overview
Envelio has developed the Intelligent Grid Platform (IGP), a modular software framework that digitizes and automates existing planning and operation processes of electric utilities to meet today's challenges around interconnection, hosting capacities, long-term planning, and network model orchestration.
The platform offers comprehensive support across various stages of grid management and expansion. It seamlessly integrates data orchestration to facilitate the entire process from siting and evaluation to strategic planning.
Engineers and planners benefit from powerful simulation and analysis tools, enabling them to model different scenarios and optimize grid performance. End customers experience enhanced reliability and efficiency in power delivery, while decision makers can leverage detailed strategic planning capabilities to ensure the grid meets future demands.
Business Model
Enterprise solution deployed under a SaaS or license-based model. App based confuguration ensuring a tailor made setup for each customer. Project fees for onboarding and customization.
Technology Innovations
Envelio enables grid operators to successfully manage the challenges of the energy transition and provides following major value propositions:
- Increase data quality and data transparency
- Providing of validated digital grid models on all voltage levels as basis for all kind of grid planning and gird operating activities
- Reduce the time needed to evaluate the interconnection checks of new renewable power plants or charging points from 2-8 weeks to a couple of minutes
- Enabling the complete automation of interconnection process (including technical evaluation)
- Reduce the grid investment costs needed by 40 to 60% with smart control algorithms
In order to deliver these value proposition, Envelio’s IGP comprises the following unique characteristics which are providing a unique advantage over other solutions, particularly by means of software technology, process speed and scalability:
- Proprietary algorithms based on machine learning and mathematical optimization which were developed in five PhD theses at RWTH Aachen University, Europe’s leading energy research cluster
- Highly scalable distributed computing architecture for large amounts of data (customer with more than 60.000 circuits is already using the IGP) and power flow simulation at scale and speed
- Capability to handle real time online grid operation
- Full support of all smart grid technologies (e.g. batteries, load and generation flexibilities)
Applications
The IGP connects formerly isolated data sources and uses AI algorithms to create digital grid models. On this basis, the platform aims to evaluate interconnection requests automatically, predict bottlenecks in the grid, provide faster solutions, and more cost-efficient grid integration of renewable generation.
The IGP consists of the Grid Hub as basis and various grid planning applications:
Grid Hub Connects to your data integrating seamlessly into your existing IT architecture. Plus, the automated data shippers make manual model refresh a task of the past. All users, processes, and applications work in one model. Customizable quality algorithms enable full connectivity at all times down to the meter.
The Grid Hub’s open approach enables to use the data within your application landscape thanks to extensive APIs, integrations, and export in standard formats.
Grid planning applications With the IGP, many important grid planning processes can be largely automated. This includes e.g. evaluating interconnection requests, automating hosting capacity updates, advanced time series and forward looking simulations, finding cost-effective grid expansion measures (considering both conventional expansion measures and Smart Grid technologies) or carrying out comprehensive grid studies for future supply tasks.