This document summarizes the main data from the first year of the project “Technologies for Efficient Penetration of Electric Carrier into End Uses”, aimed at promoting greater use of electric power and experimenting with innovative management methods to reduce energy consumption and environmental impact, primarily in the residential sector.

The need to conduct the experiments outlined in the project arises from the recognition that the residential sector can achieve significant savings through both building renovation interventions and a different, integrated management of consumption, utilizing innovative methods and technologies.

The potential to locally generate energy from renewable sources, the advent of electric mobility, and regulatory innovations related to local energy communities drive the rethinking of overall residential utility management. The use of electric power for efficient thermal consumption with reduced local emissions, the promotion of individual and collective electricity self-consumption, and the potential provision of energy and services to the grid are key elements of the new management approach that should yield tangible benefits for both users and the grid.

To facilitate this transformation, the project includes several activities divided into two Work Packages, which respectively pursue:

1) The promotion of energy efficiency through the adoption of intelligent consumption optimization systems.

2) The improvement of high-temperature heat pump technology for heating and domestic hot water production using electric energy.

During the first year of activity, a specific “all-electric” building-laboratory was established and equipped, which will allow the application of predictive control techniques such as MPC (Model Predictive Control) and Machine Learning to domestic consumption, which will be further developed throughout the project. In parallel, the development of virtual building models was initiated to produce dynamic energy simulations to estimate the energy needs of typical utilities. The topic of virtual collective self-consumption was explored, focusing on optimization functions that maximize the output of a shared photovoltaic (PV) system by a group of users, which will be implemented in specific software in subsequent years of the project. Additionally, a thorough literature review on thermodynamic cycles of high-temperature heat pumps based on ejectors was conducted. The collected information will help identify the best concentrated parameter and CFD (Computational Fluid Dynamics) models, which will be used to study this critical component in detail, as its functionality impacts the efficiency of such machines.