Twin Transition Program

Overview

We supported a leading electricity sector player in defining a strategy and adoption roadmap for Digital Twin, with the goal of enabling integrated, data-driven asset management across the entire lifecycle.

INDUSTRY

Energy & Utilities, Resources & Infrastructure

TEAM

Transformation 4.0

Background

The client is a major operator in the electricity sector, responsible for the development and management of high- and extra-high-voltage transmission networks, comprising infrastructure of national strategic importance.

The complexity and critical nature of these assets require continuous oversight throughout their entire lifecycle—from design and construction to operations and maintenance—in order to ensure safety, service reliability, and operational continuity, while also supporting strategic objectives related to the twin transition and the sustainability of the electricity system.

The project was grounded in a multi-year, holistic vision aimed at developing a single, continuously updated digital information base for assets. This approach ensures consistency across processes, data, and systems while fostering strong alignment across business functions, ultimately enabling more advanced operating and decision-making models, including new ways to monitor and manage assets.

The initiative laid the methodological, technological, and organizational foundations for the creation of dynamic and interactive digital replicas of infrastructure, improving data consistency, cross-functional coordination, and the effectiveness of both operational and strategic decisions.

Challenge

Building on an existing BIM adoption journey already implemented in the design and construction phases, the program aimed to extend digitalization and innovation into the Operation & Maintenance phase. This was pursued through the development of a Digital Twin capable of providing a unified, up-to-date, and dynamic view of assets by integrating IoT sensors, AI capabilities, and predictive analytics.

The key challenge was to define and implement a scalable approach to support advanced asset management across the entire lifecycle, improve data quality and availability, enable more effective maintenance processes, and strengthen overall control over performance and operational continuity.

Approach

The project began with an envisioning phase aimed at defining a shared digital transformation strategy and guiding the evolution from BIM to Digital Twin in collaboration with the relevant business functions.

The methodological framework was then consolidated through an analysis of both the external context—considering regulations, benchmarks, and industry best practices—and the internal context, with the goal of identifying potential synergies with the Digital Twin evolution path.

This led to the definition of an integrated, multi-year roadmap designed to support the gradual implementation of the Digital Twin through progressive maturity stages, from foundational technological and methodological elements to full-scale deployment.

The following priority workstreams were defined:

Evolution of the operating model for integrated Asset Lifecycle Management

Design of the digital architecture to enable end-to-end integration across enterprise systems and data

Support in identifying and leveraging innovative and automated technologies for the digitalization of existing assets

Introduction of new approaches to asset monitoring and management, focused on enhancing data continuity and improving lifecycle performance control

Delivery

Results Achieved

Key outcomes include the structured mapping of the existing application landscape, the identification of core data flows, and the definition of the target architecture’s evolution guidelines. The work conducted so far has resulted in a high-level design of the To-Be operating model, outlining process evolution, the application landscape, and the functional scope of the Digital Twin solution.

In addition, 38 Digital Twin use cases have been identified across Operation & Maintenance and cross-functional processes, to be progressively released in line with the roadmap and technological developments of the solution.