Energy efficiency and architectural integration: the Idra Ring system in a new luxury residence in Luxembourg

At the heart of a modern high-end residential project in Luxembourg, an advanced plant engineering approach has been adopted, combining energy efficiency, water autonomy, and seamless architectural integration. The Idra Ring system, designed to operate on hydronic loop systems, was selected to ensure silent, discreet, and high-performance climate control, perfectly aligned with the needs of an elegant and technologically advanced home.

What makes this project particularly virtuous is its integration with a heat pump system optimized for the use of rainwater, developed to reduce environmental impact and increase system self-sufficiency. The technological core combines the Idra Ring air-to-water heat pump, a thermodynamic preheating boiler, and a network of 60 m³ concrete tanks, custom-designed to collect, store, and reuse rainwater.

Summer mode

During summer, rainwater stored in the tanks is directly supplied to the heat pump, which feeds a refrigeration circuit connected to indoor units for cooling the home.

Winter mode

In colder seasons, collected water is preheated in a thermodynamic tank using heat from the outside air. This phase improves heat pump efficiency and reduces overall energy consumption. The preheated water then feeds the thermal circuit connected to indoor units, ensuring comfort even in winter.

An advanced thermal model for performance prediction

To support system optimization, SGI Ingénierie developed a dynamic model capable of estimating rainwater temperature evolution based on multiple environmental and energy parameters, including:

• thermal exchange with the ground (positive or negative);
• thermal exchange with outdoor air (positive or negative);
• solar energy absorbed through irradiation;
• thermal exchanges related to precipitation, varying with rainfall intensity and water temperature;
• cooling or heating power generated by the heat pump depending on operating mode.

This model enables accurate prediction of seasonal efficiency and allows system operation to be adjusted to maximize performance and autonomy.