Monitoring of Thermal Comfort and Air Quality for Sustainable Energy Management inside Hospitals Based on Online Analytical Processing and the Internet of Things

Hugo O. Garcés, Claudia Durán (), Eduardo Espinosa, Alejandro Jerez, Fredi Palominos, Marcela Hinojosa and Raúl Carrasco ()
Additional contact information
Hugo O. Garcés: Departamento Ingeniería Informática, Universidad Católica de la Santísima Concepción, Concepción 4090541, Chile
Claudia Durán: Departamento de Ingeniería Industrial, Facultad Ingeniería, Universidad Tecnológica Metropolitana, Santiago 7800002, Chile
Eduardo Espinosa: Department of Electrical Engineering, Faculty of Engineering, Universidad Católica de la Santísima Concepción, Concepción 4090541, Chile
Alejandro Jerez: Saval Pharmaceutical, Santiago 8640002, Chile
Fredi Palominos: Departamento de Matemática y Ciencias de la Computación, Universidad de Santiago de Chile, Santiago 9170022, Chile
Marcela Hinojosa: Departamento de Tecnología Médica, Facultad de Medicina, Universidad de Concepción, Concepción 4070409, Chile
Raúl Carrasco: Facultad de Ingeniería y Negocios, Universidad de Las Américas, Santiago 7500975, Chile

IJERPH, 2022, vol. 19, issue 19, 1-23

Abstract: There is a need to ensure comfortable conditions for hospital staff and patients from the point of view of thermal comfort and air quality so that they do not affect their performance. We consider the need for hospital employees and patients to enjoy conditions of greater well-being during their stay. This is understood as a comfortable thermal sensation and adequate air quality, depending on the task they are performing. The contribution of this article is the formulation of the fundamentals of a system and platform for monitoring thermal comfort and Indoor Air Quality (IAQ) in hospitals, based on an Internet of Things platform composed of a low-cost sensor node network that is capable of measuring critical variables such as humidity, temperature, and Carbon Dioxide (CO 2 ). As part of the platform, a multidimensional data model with an On-Line Analytical Processing (OLAP) approach is presented that offers query flexibility, data volume reduction, as well as a significant reduction in query response times. The experimental results confirm the suitability of the platform’s data model, which facilitates operational and strategic decision making in complex hospitals.

Keywords: air quality; internet of things; hospitals; thermal comfort (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/19/12207/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/19/12207/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:19:p:12207-:d:925865

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().