DG Twin's technological solutions and services offered to businesses are all based on Research and Development (R&D) activities that combine numerical simulation and artificial intelligence.
The technical activities are focused on enhancing the energy and environmental performance of conversion units, for both stationary applications and mobility.
Throughout the years, the numerical simulation has become a proper enabling technology for the industry, a decision-making tool useful for:
The use of numerical simulation allows us to digitally reproduce operating and performance diagrams of complex systems for:
the identification of inefficiencies
the choice of improvement solutions
monitoring
control and progressive optimization
DG Twin formulates digital twins of real systems, for:
energy efficiency
reduction of waste and environmental impact
customization and adaptability to the context of use
improvement of the user experience
Artificial intelligence is radically transforming the way we conceive and practice engineering, bringing multiple cross-cutting benefits to all sectors.
For DG Twin, artificial intelligence is "environmental intelligence" based on the concept of "data-driven engineering", which involves collecting real-time operational data through the Internet of Things (IoT) to identify solutions aligned with the sustainability goals of the UN Agenda 2030.
Expertise in cloud computing, data analysis, machine learning, and optimization is applied daily across various use cases.
The main research areas considered are:
Data Mining
DATA ANALYSIS
Machine Learning
Multi-objective optimization
Fuzzy Based Systems
Model Order Reduction
From the world of research conducted at the National Research Council (Institute of Sciences and Technologies for Sustainable Energy and Mobility), the University of Naples “Federico II”, and the University of Rome “Tor Vergata”
To the one of industrial production
Specialized organization
with interdisciplinary skills adaptable to business objectives
Ideal partner for Digital Innovation
Our team has contributed to the development of various industrial products and has supervised several Master’s theses in Engineering and PhD programs, including those focused on innovative industrial research.