envelio wins the internationally renowned BloombergNEF Award in the category “Relieving bottlenecks in the deployment of clean power”
References
Find out how other utilities leverage envelio’s tools to expedite interconnection processes, plan holistically and make intelligent investment decisions
Dive deeper into what utilities use envelio’s Intelligent Grid Platform for:
Infopaper: Shit In = Shit Out?
Grid Data Quality – The Ultimate Checklist
High data quality is a default precondition for digitalizing and automating many processes that are currently seen as a bottleneck for a fast energy transition. Yet many utilities say they wish their data had much higher quality than it is now. At the heart of this issue lies the problem of “Shit in = Shit out”. When data has been input incorrectly, it affects analytics, insights, planning and investment decisions. If improving data quality is a topic on your agenda, too, in this infopaper, you’ll find how to tackle this problem step by step.
Case study: Helen Electricity Network
Running future grid scenarios to determine the probability of bottlenecks
Helsinki aims to become emission-free by 2030, necessitating a major transformation of its energy systems. This presents challenges for the power grid, requiring a thorough understanding of the impacts of these changes. Using the IGP app Grid Study, Helen Electricity Network is modeling three potential future grid scenarios. These scenarios, reflecting current and projected socio-economic developments, will help determine grid needs over the next 5, 10, and 15 years.
Case study: Syna
Automation and acceleration of interconnection impact studies
With the introduction of the Intelligent Grid Platform (IGP), Syna has drastically reduced the time required for grid interconnection evaluation for larger installations: The grid compatibility testing, which previously took up to 8 hours, can now be completed in about 15 minutes. At the same time, the significant improvement in the quality of the grid calculations helps ensure supply reliability, as the impact of new interconnections on the grid can be assessed more reliably.
Case study: Elektrilevi
Accelerated processing of interconnection requests
To cope with an extremely high number of interconnection requests, Elektrilevi introduced a self-service portal for its customers to perform a pre-application research on the nearest favourable POI and get an estimation for the project’s duration and costs. At the same time, this Estonian grid operator fully automated processing of interconnection requests for microproducers of up to 15 kW.
Case Study: FairNetz Part 2
Leveraging improved data quality to speed up interconnection processes
This case study builds upon the first part and invites us to follow up on the progress of the implementation of the Intelligent Grid Platform at FairNetz. The electricity network operator from Reutlingen now leverages the improved data quality to speed up the processing of grid interconnection requests. For instance, 50% of all requests for new interconnections are assessed positively in under 5 minutes. Additionally, FairNetz relies on the IGP as its “Single Source of Truth” for analyzing the grid participant structure, aiming to further improve the data basis for the calculation logic and create a foundation for sound grid expansion investments.
Case Study: FairNetz Part 1
Development and validation of exhaustive digital grid models
With the help of the Intelligent Grid Platform, FairNetz was able to automatically detect inconsistencies and information gaps in its data source systems. This enabled the German grid operator to significantly improve the quality of grid data and create a dynamic grid model for their entire MV- and LV network. Moreover, FairNetz achieved a higher transparency of network load and was able to identify critical assets and problem grid areas.
Case study: E.DIS Netz
Introducing a POI self-checker for end customers
The major German DSO E.DIS Netz GmbH accelerates the previously manual evaluation process for new interconnections by a complete process integration of the Intelligent Grid Platform. In addition, E.DIS has implemented an online portal based on the Intelligent Grid Platform. Without input from a grid planner, potential customers can obtain an initial assessment of the best possible POI for their planned projects.
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