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Digital twins and decision support for flexible energy management in electrified groundwork construction (DISSECT)

Reference number
Coordinator Kungliga Tekniska Högskolan - Samhällsplanering och miljö
Funding from Vinnova SEK 7 910 000
Project duration September 2026 - August 2028
Status Ongoing
Venture Advanced digitalization - Industrial needs-driven innovation
Call Industrial flexible energy management

Purpose and goal

Develop and validate data-driven decision support for flexible energy management in electrified groundwork construction using digital twins. DISSECT develops digital twins and data-driven decision support that enable scenario analysis, planning, and optimization of material flows, logistics, and energy use under grid constraints. The project delivers a validated prototype integrated into commercial workflows for the building and infrastructure construction sector.

Expected effects and result

DISSECT is expected to deliver data-driven decision support based on digital twins for flexible energy management in electrified groundwork construction. The project will enable improved planning of energy use, logistics and material flows, reduce power demand and emissions, and identify and utilize flexibility. The results will be integrated into a commercial platform to support broad adoption across the construction sector.

Planned approach and implementation

The project is organized into five work packages. It begins by defining requirements, data, and key performance indicators with the industrial partners. Digital twins for material, logistics, energy, and flexibility modelling are then developed and integrated into a data-driven decision-support system. The solutions are validated in real construction projects, integrated into a commercial platform, and disseminated through scientific publications, industrial collaboration, and exploitation.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 11 September 2026

Reference number 2026-01089