All DG Twin solutions and services are based on Research and Development (R&D) activities through advanced numerical simulation algorithms and, more generally, artificial intelligence.
The activities of Research and Development are aimed at increasing the energetic and environmental performance of the energetic conversion and electric propulsion units.
Throughout the years, the numerical simulation has become a proper enabling technology for the industry, a decision-making tool useful for:
In DG Twin we want to spread the use of numerical simulation and of artificial intelligence no longer just as a design tool, but as an element for:
continuous performance upgrades
adaptability to the context of use
the elimination of waste, while maintaining continuity of services
The unconventional approach of DG Twin lies in the ability to create “digital twins” of real systems, useful for testing their calculation for performance optimization on typical use profiles, for the purposes of:
reduction of the environmental impact
a high customization and improvement of the user experience
The use of numerical simulation also allows us to digitally reproduce operating and performance diagrams of complex systems for:
the identification of inefficiencies
the choice of improvement solutions
or the optimized executive design
Our skills cover various areas and techniques with know-how gained during activities carried out in industrial R&D projects at national and international level:
Technical-economic feasibility analysis of energy generation and storage plant layouts
Integration of renewable sources in energy micro-grids through multi-physics dynamic modelling and performance optimization
Development and optimization of integrated control logics
CFD analysis of energy systems and their components (1D and 3D modelling, dynamic modelling)
Analysis and optimization of processes of unconventional fuels energy conversion
The innovation proposed by DG Twin is based on the concept of “data driven engineering”, that is to say the collection of data in real operation for the identification of improvement solutions aligned with the objectives of economic and environmental sustainability.
Essential are the skills related to technologies such as cloud computing, mobile apps, machine learning, Internet of Things (IoT), artificial intelligence (AI) and many others.
The use of various digital technologies allows the creation of system integration application projects in various types of products.
The main research areas considered are:
Fuzzy Based Systems
from the world of research conducted at important research organizations (CNR Institute of Sciences and Technologies for Sustainable Energy and Mobility, University of Naples “Federico II” and of Rome “Tor Vergata”)
to the one of industrial production
because of this we can offer our skills to decline them according to the company objectives
Ideal partner for Digital Transformation paths,
in implementation of the Digital Industry paradigm.
The researchers which are part of our team have carried out various Research and Development projects, as well as degree theses and PhD courses, including those of the Innovative Industrial type with co-financing from CNR (CNR-Confindustria Convention), of which Michela Costa was supervisor.