Skip to main content
European Commission logo
Enterprise Europe Network

Project partners sought to develop an integrated digital platform for energy efficiency management in social housing

Summary

Profile Type
  • Research & Development Request
POD Reference
RDRIT20250304008
Term of Validity
19 March 2025 - 19 March 2026
Company's Country
  • Italy
Type of partnership
  • Research and development cooperation agreement
Targeted Countries
  • All countries
Contact the EEN partner nearest to you for more information.
Find my local partner

General information

Short Summary
An Italian SME specialized in software solutions for public residential building management is seeking partners for a cooperation project aimed at creating an advanced platform for optimizing energy performance in social housing. The project will employ IoT, AI, and Digital Twin technologies to promote sustainable consumption, predictive maintenance, and dynamic energy certification.
Full Description
An Italian SME, leading company in the Italian market for the development of application platforms and systems for public residential housing (ERP), supporting technological innovation and digital transformation. With over 40 years of expertise, the company offers solutions for the Property & Facility Management sector and for Local, Municipal, and Provincial Police Departments.
The company provides a wide range of complementary services, including advanced and customizable solutions, system integration support, technical migrations, software maintenance, IT consulting, and training.
The Italian SME is strongly committed to organizational and technological renewal. Today, its product portfolio includes solutions based on the most advanced cutting-edge technologies available on the market, ensuring clients reliable, scalable, and high-performance tools.
The company's development approach is based on: Cloud-Native architectures on platforms such as Microsoft Azure, AWS, and Google Cloud; Microservices and containerization; Distributed systems and messaging; SQL and NoSQL databases for optimal scalability and performance; Artificial Intelligence and Data Science, with advanced analytics and machine learning tools; Modern and responsive user interfaces (UI).
The company is committed to delivering robust, scalable, and secure software that meets the needs of companies of all sizes. We believe in collaboration and continuous innovation, adopting best practices and fostering a dynamic and technologically advanced work environment. We adhere to strict development and security standards to ensure sensitive information remains protected. We guarantee speed, efficiency, and adaptability through DevOps and Agile methodologies.
With a dedicated internal team, the company has gained significant experience over the years in research activities and the development of new platforms, and its staff has developed extensive expertise in the design and implementation of information systems.
The company contributes to a more sustainable future through the development of innovative systems like ew-DOX, which supports document dematerialization, reducing paper use, and utilizing renewable energy sources to meet the energy needs of its facilities. Additionally, in collaboration with public and private partners, The company participates in projects aimed at improving the energy efficiency of residential units (which represent the company's core business), leveraging environmental sensors, IoT technologies, BIM/Digital Twin, Big Data, and Artificial Intelligence.
They are looking for industrial partners (research centers, universities, and technology partners) and commercial partners (companies of any size whose core business is related or complementary to our solutions). We are also open to collaborations with public, semi-public, and private entities seeking innovative solutions in the public residential housing sector, particularly in the areas of: Surveying and managing real estate assets; Managing accounting, rental fees, and arrears; Ordinary and extraordinary maintenance; Monitoring and optimizing energy consumption; Digital document management and dematerialization.
Advantages and Innovations
It adopts Digital Twins for each housing unit, enabling detailed simulations and predictive analysis of energy efficiency measures before implementation. By leveraging Artificial Intelligence and Machine Learning, the system provides highly accurate forecasts, supporting informed decisions a pioneering solution in the field of residential energy management.
It integrates real-time monitoring of energy consumption and user habits, actively involving tenants through gamification and incentive-based strategies. This approach encourages residents to adopt more sustainable behaviors, making them active contributors to improving overall energy efficiency.
The system utilizes advanced machine learning algorithms and expert systems to offer continuous decision-making support, identifying optimized interventions and simulating their potential impacts to maximize energy performance and reduce costs.
It allows for the simulation of maintenance and energy optimization actions, calculating economic impacts and benefits in advance. By drawing on data from similar buildings and leveraging a shared Data Space, the system improves planning accuracy and resource management.
It provides a comprehensive platform for monitoring, control, and reporting, combining real-time and historical data visualization with advanced reporting tools and predictive simulations. This enables holistic, scalable, and replicable energy management across diverse building contexts.
Lastly, the system introduces Dynamic Energy Certification, which updates in real time to reflect seasonal variations and occupant behavior, offering a more flexible and precise assessment of energy performance while supporting targeted, ongoing improvements.
Overall, the solution fosters sustainability, data-driven decision-making, and active user engagement, delivering a significant innovation for energy management in public housing.
Technical Specification or Expertise Sought
1. Definition of stakeholder and housing unit requirements:
It is essential to clearly identify the key actors involved in the project, establishing the specific needs and requirements of each stakeholder.
2. Design of the complete platform:
This includes the selection and specification of sensors, as well as the components needed for data collection, processing, and management.
3. Definition of algorithms and expected outputs:
Advanced algorithms must be defined to process real-time data from the sensors, delivering meaningful results to support the management and improvement of energy efficiency.
In the final phase, the partnership aims to complete experimental development through practical and accurate validation of the technological platform. Field testing will confirm the system’s effectiveness in real-world conditions, ensuring it meets the needs of both end users and stakeholders. Successful validation will lay the groundwork for wider deployment and commercialization of the system, maximizing its impact across the ecosystem.
Stage of Development
  • Under development
Sustainable Development Goals
  • Goal 11: Sustainable Cities and Communities
  • Goal 7: Affordable and Clean Energy
  • Goal 13: Climate Action
  • Goal 12: Responsible Consumption and Production
  • Goal 15: Life on Land
IPR status
  • IPR applied but not yet granted

Partner Sought

Expected Role of a Partner
The project is open to multiple levels collaborations, involving academic, industrial, and technological partners. Specifically, the coordinator will act as the main provider and developer of the software system, focusing on the development of the platform and its predictive functionalities based on artificial intelligence.
Additionally, the involvement of partners will be required to support: Research and development for hardware production, sensor installation, and technological solutions. Energy certification, as well as the development of project components related to machine learning and digital twin technologies using BIM. Research, development, and validation phases of the project.
Type and Size of Partner
  • SME 50 - 249
  • SME <=10
  • Other
  • University
  • Big company
  • SME 11-49
  • R&D Institution
Type of partnership
  • Research and development cooperation agreement

Call details

Framework program
  • Horizon Europe
Call title and identifier
To be identified
Coordinator required
Yes
Deadline for EoI
Deadline of the call

Dissemination

Technology keywords
  • 01003003 - Artificial Intelligence (AI)
  • 01003020 - Building Automation Software
  • 01003025 - Internet of Things
  • 01003022 - Smart Appliances
Market keywords
  • 08002001 - Energy management
Targeted countries
  • All countries