Serviços Personalizados
Journal
Artigo
Indicadores
Citado por SciELO
Acessos
Links relacionados
Citado por Google
Similares em SciELO
Similares em Google
Compartilhar
Revista hábitat sustentable
versão On-line ISSN 0719-0700
Resumo
ARBALLO, Bruno Damián; KUCHEN, Ernesto e CHUK, Daniel. MULTI-OBJECTIVE OPTIMIZATION OF ENERGY EFFICIENCY AND THERMAL COMFORT IN PUBLIC OFFICE BUILDINGS. CRITICAL SUMMER PERIOD IN THE CITY OF SAN JUAN -ARGENTINA. Rev. hábitat sustentable [online]. 2022, vol.12, n.1, pp.102-113. ISSN 0719-0700. http://dx.doi.org/10.22320/07190700.2022.12.01.07.
Buildings represent 40% of the world’s energy demand and CO2 emissions. In Argentina, buildings are responsible for 40% of the total annual energy consumption. The problem lies in an imbalance between the need to provide a high quality of life and comfort in office spaces, and the high energy cost required to meet that goal. Both a high comfort level and energy savings represent two objectives to be achieved. In this sense, this paper proposes a new methodology that combines onsite measurement with mathematical simulation tools. Innovative techniques and models are incorporated to make the tool, applying thermal-energy multi-objective optimization, which operates dynamically during working hours. The results show significant savings in energy consumption regarding cooling office spaces in the summer, from 57.5% to 83.3%, together with an increase in the thermal comfort quality, with improvements between 4.7% and 29.4%.
Palavras-chave : Building optimization; Energy savings; indoor comfort.