Artificial Intelligence Protocols for Improving Efficiency and Sustainability in Energy Processes

Abstract

Carlos Armenta-Deu

This work aims to develop a new protocol for improving sustainability in current applications like household heating, air conditioning, and sanitary water use. The paper introduces a new protocol focused on reducing energy consumption, improving energy conversion process efficiency, and minimizing carbon emissions. The developed protocols apply to three relevant topics: energy management, water heating, and space conditioning in the domestic sector. The methodology focuses on saving energy without reducing performance by developing a specific protocol for the three analyzed topics. Experimental tests prove the protocol's validity in household facilities. Tests running under variable conditions show an energy consumption reduction between 39.6% and 52.3%, depending on operating conditions. Experimental tests for two consecutive years with alternating operational modes, AIP and conventional, show a high agreement between current data and expected values, with 98% accuracy. The reduction in carbon emissions is between 397.4 and 660.5 kilograms per year, depending on the appliance use. The obtained results from the proposed protocol application improve the sustainability, proving the beneficial effects of the applied methodology.

PDF