Design of indoor environmental quality monitoring system using Model-Based Systems Engineering

Abstract

Indoor environmental quality (IEQ) is crucial for occupant comfort, health, and well-being as people spend approximately 90% of their time indoors. In this regard, monitoring and evaluating IEQ parameters have become progressively essential. Nonetheless, existing monitoring systems often fall short in assessing multiple IEQ aspects comprehensively, this concerns precisely thermal comfort, air quality, visual comfort, and acoustic comfort. To deal with the complexity of IEQ, valid instrumentation is important to have with efficient multi-sensor system. This approach allows evaluating various parameters including air temperature, globe temperature, relative humidity, air velocity, pollutant concentrations (CO2, CO, PM1, PM2.5, PM10), noise level, vibration, and illuminance. However, finding a monitoring system that combines all these aspects can be challenging. This paper aims to overcome this limitation by designing an IEQ monitoring system that integrates measurements for thermal comfort, air quality, visual comfort, and acoustic comfort by using Model-Based Systems Engineering (MBSE) principles. The main objective of this paper is to present a comprehensive IEQ monitoring system that overcomes the limitations of existing solutions. This last was conducted by employing MBSE techniques, we aim to create a structured and efficient design process. The resulting system will facilitate the evaluation and optimization of indoor environments to ensure the well-being and comfort of occupants.