Estimation of heating system energy modeling profiles based on environmental monitoring records in Central-Southern Chile
Metadatos
Mostrar el registro completo del ítemEditorial
Elsevier
Materia
Energy simulation Occupation Heating profiles Environmental monitoring
Fecha
2023-05-11Referencia bibliográfica
J. Muñoz-Fierro et al. Estimation of heating system energy modeling profiles based on environmental monitoring records in Central-Southern Chile. Energy & Buildings 292 (2023) 113153[https://doi.org/10.1016/j.enbuild.2023.113153]
Patrocinador
Project “ANID Fondecyt Regular 1200551-Energy poverty prediction based on social housing architectural design in the central and centralsouthern zones of Chile; Index to analyze and reduce the risk of energy poverty”, funded by the National Agency for Research and Development (ANID, in Spanish); The research group “Confort ambiental y pobreza energ´etica (+CO-PE)” of the University of the Bío-Bío, the Thematic Network 722RT0135 “Red Iberoamericana de Pobreza Energ´etica y Bienestar Ambiental” (RIPEBA) financed by the call for Thematic Networks of the CYTED Program for 2021, and the Thematic Network 723RT0151; Red Iberoamericana de Eficiencia y Salubridad en Edificios” (IBERESE) financed by the call for Thematic Networks of the CYTED Program for 2022 for supporting this research; Universidad de Granada / CBUAResumen
Data simulated for occupancy profiles, usually based on standard occupancy schedules, must be validated against
real measurements, and many studies have pointed out the gap between them. This problem is more pronounced
in homes that are not heated by grid-connected energy sources, such as wood-burning stoves, because the meter
cannot provide a real-time estimate. In Central-South Chile, 74% of homes are heated by wood stoves, causing an
acute problem of air pollution in several urban areas. The government is trying to solve this problem, but at the
moment there is no data on occupancy profiles, hence it is not possible to estimate the energy intensity for
heating. This exploratory study aims to clarify to what extent occupancy profiles can be estimated from PM 2.5
pollution levels. To this end, publicly available data on PM 2.5 concentrations in 17 cities in central-south Chile
was used as a proxy to build occupancy schedules for homes heated by wood stoves. The results show that there
is a clear relationship between pollution levels and occupancy intensity, and that the latter does not follow the
schedules outlined in international standards or building codes. The results and methodology can be replicated in
cities where air pollution is driven by wood stoves, allowing public authorities to have access to accurate occupancy
schedules and providing them with reliable data to address local air pollution problems