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O presente estudo teve como objetivo desenvolver um dashboard interativo em Power BI, capaz de visualizar e analisar, em tempo real, indicadores de qualidade do ar e de conforto em salas de aula, permitindo igualmente a consulta de dados históricos, de forma a facilitar a monitorização contínua e a tomada de decisão baseada em dados. Foram realizadas medições no interior da sala DS.00.12B e no exterior do Edifício B do Campus 2 do Politécnico de Leiria para monitorizar a concentração de CO2, a temperatura do ar, a humidade relativa do ar, as partículas em suspensão PM2,5 e PM10, bem como a iluminância. A metodologia combinou análise temporal e comparação com valores de referência, permitindo caracterizar o comportamento ambiental sob diferentes condições de funcionamento. Os resultados mostraram que os níveis médios de CO2 nas salas se mantiveram dentro de intervalos aceitáveis para espaços educativos, embora tenham sido observados picos pontuais associados à elevada ocupação ou à ventilação insuficiente. A temperatura interior manteve-se estável, entre 17 °C e 26 °C, evidenciando o efeito amortecedor do edifício. A humidade relativa do ar operou próxima do limite superior da faixa de conforto recomendada, com valores médios entre 60 e 67 %, o que reflete a influência direta das condições externas. As concentrações de partículas PM2,5 e PM10 foram, em média, reduzidas e não representaram risco contínuo, ainda que tenham sido verificados valores elevados em eventos isolados de ressuspensão de poeiras. A iluminância foi o parâmetro com o maior número de não conforidades: identificaram-se situações de sobreiluminação com estores abertos, níveis insuficientes em condições noturnas e baixa uniformidade ao longo do dia. A integração dos dados permitiu identificar prioridades de melhoria orientadas para a gestão operacional: ventilação ajustada à ocupação para reduzir picos de CO2, controlo higrométrico em dias húmidos, reforço das rotinas de limpeza em zonas de maior ressuspensão de poeiras e, em especial, um plano de otimização da iluminação que considere controlo solar, redistribuição fotométrica e adequação das luminárias. Conclui-se que o estudo fornece uma base técnica sólida para a monitorização da qualidade do ar e do conforto em ambientes educativos, apoiando a tomada de decisão.
This study aimed to develop an interactive dashboard in Power BI capable of viewing and analysing, in real time, air quality and comfort indicators in classrooms, while also allowing historical data to be consulted to facilitate continuous monitoring and data-based decision-making. Measurements were taken inside room DS.00.12B and outside Building B of Campus 2 of the Polytechnic Institute of Leiria to monitor CO2 concentration, air temperature, relative humidity, PM2.5 and PM10 suspended particles, and illuminance. The methodology combined temporal analysis, indoor-outdoor comparison, and benchmarking against reference values, enabling the characterisation of environmental behaviour under different operating conditions. The results showed that average CO2 levels in the classrooms remained within acceptable ranges for educational spaces, although occasional peaks associated with high occupancy or insufficient ventilation were observed. Indoor temperature remained stable between 17 °C and 26 °C, highlighting the building’s buffering effect. Relative humidity operated close to the upper limit of the recommended comfort range, with mean values around 60-67%, reflecting the direct influence of outdoor conditions. PM2.5 and PM10 particle concentrations were, on average, low and did not pose a continuous risk, although high values were observed during isolated dust resuspension events. Illuminance was the parameter with the highest number of non-compliances, including over-illumination when blinds were open, insufficient levels under nighttime conditions, and low uniformity at different times of the day. Data integration enabled the identification of improvement priorities focused on operational management, including occupancy-adjusted ventilation to mitigate CO2 peaks, hygrometric control on humid days, reinforcement of cleaning routines in areas prone to dust resuspension, and, in particular, an optimised lighting plan incorporating solar control, photometric redistribution, and appropriate luminaires. The study concluded that it provides a solid technical basis for monitoring air quality and comfort in educational environments, supporting decision-making.
This study aimed to develop an interactive dashboard in Power BI capable of viewing and analysing, in real time, air quality and comfort indicators in classrooms, while also allowing historical data to be consulted to facilitate continuous monitoring and data-based decision-making. Measurements were taken inside room DS.00.12B and outside Building B of Campus 2 of the Polytechnic Institute of Leiria to monitor CO2 concentration, air temperature, relative humidity, PM2.5 and PM10 suspended particles, and illuminance. The methodology combined temporal analysis, indoor-outdoor comparison, and benchmarking against reference values, enabling the characterisation of environmental behaviour under different operating conditions. The results showed that average CO2 levels in the classrooms remained within acceptable ranges for educational spaces, although occasional peaks associated with high occupancy or insufficient ventilation were observed. Indoor temperature remained stable between 17 °C and 26 °C, highlighting the building’s buffering effect. Relative humidity operated close to the upper limit of the recommended comfort range, with mean values around 60-67%, reflecting the direct influence of outdoor conditions. PM2.5 and PM10 particle concentrations were, on average, low and did not pose a continuous risk, although high values were observed during isolated dust resuspension events. Illuminance was the parameter with the highest number of non-compliances, including over-illumination when blinds were open, insufficient levels under nighttime conditions, and low uniformity at different times of the day. Data integration enabled the identification of improvement priorities focused on operational management, including occupancy-adjusted ventilation to mitigate CO2 peaks, hygrometric control on humid days, reinforcement of cleaning routines in areas prone to dust resuspension, and, in particular, an optimised lighting plan incorporating solar control, photometric redistribution, and appropriate luminaires. The study concluded that it provides a solid technical basis for monitoring air quality and comfort in educational environments, supporting decision-making.
Descrição
Palavras-chave
Qualidade do ar interior Ventilação Partículas em suspensão Conforto térmico Iluminação em ambientes educativos