WISE-COOL

STATUS:

IN PROGRESS

REFERENCE PERIOD:

1/04/2024 – 31/03/2025

FUNDING:

Cascade 1st Open Call – Nephene HE

AMOUNT:

76.000€

ID GRANT:

N.A

Website

THE PROJECT

WISE-COOL (Wise Interoperability for Secure and Efficient Climate Optimization & Outstanding Living) aims to realize a software/hardware solution that can precisely control the indoor conditions of each room by optimizing energy consumption for cooling/heating and maximizing indoor comfort for occupants. A real-time DigitalTwin model will be defined to monitor and control indoor areas. The solution is based on the ability to identify the presence of occupants within a single room through a WiFi scanning device and indoor environmental conditions through Agrumino, Lifely’s IoT device. By adding actuators, such as split A/C, smart radiators or window-opening system, an appropriate Edge AI model can optimize energy consumption, maximizing living comfort and ensuring the security of user data. Finally, a mobile application allows users to control the apartment’s DigitalTwin and trains the AI model on user preferences.

OBJECTIVES

WISE-COOL strives to realize an innovative software-hardware solution, ensuring precise control of indoor conditions, minimizing energy consumption for building heating and cooling, and improving indoor comfort by providing users with personalized services. Planned activities will address the challenge of Nephele Use Case No. 3 to propose a complete solution by leveraging the developed VOStack. WISE-COOL aligns perfectly with NEPHELE’s vision, emphasizing semantic interoperability, real-time control, and open-source solution.

TECHNOLOGIES AND METHODOLOGIES

La soluzione si basa su due componenti principali: Agrumino, per acquisire le condizioni indoor in ogni stanza, e un dispositivo di sniffing WiFi, per individuare i dispositivi connessi nelle vicinanze e identificare le persone in ogni stanza. L’architettura si basa su un insieme di cVO che rappresentano ciascun sensore IoT e attuatore termico, per massimizzare l’interoperabilità. Un modello di Edge AI funzionerà in tempo reale per perseguire la massima efficienza termica e adattarsi alle abitudini dell’utente. Un’applicazione mobile fornisce un’interazione in tempo reale con il DigitalTwin della casa.

MISSION AND IMPACT

The project aims to address major challenges, such as energy consumption for home heating and the growing interest in smart control systems in the smart home market. WISE-COOL will develop a demonstrator to improve indoor comfort by reducing the energy consumption required for cooling and heating, thus helping to reduce environmental impact and costs for citizens. The implemented solution aims to be easily expandable and based on artificial intelligence strategies to optimize home energy use, thus addressing EU challenges related to home heating and the growth of the smart home market.

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