PM2.5

In the current era, sensors in buildings have become an essential requirement for wide applications such as monitoring indoor air quality (IAQ), thermal and environmental conditions, controlling building heating, ventilation, and air-conditioning systems (HVAC). To accurately control the IAQ for all areas in the indoor space, it is necessary to obtain considerable data from different locations in the space for more precision.

Indoor air quality (IAQ) control in educative centres, where students spend most of their time, is essential. The presence of high levels of contaminants can impact the academic performance of the students and, ultimately, their health. A study has been carried out to assess the IAQ of higher education classrooms with natural ventilation in order to quantify the exposure of the occupants to certain contaminants during the cold season. CO2, PM10, PM2.5, PM1.0, and volatile organic compounds (VOC) have been measured.

In building energy renovation, the notion of payback time of the investments is often presented as the only goal. However, the potential benefits in terms of health are also valuable despite being not consciously perceived by the occupant and may need to be monitored to be assessed. Laboratory-grade devices or protocols are generally burdensome and expensive, and the growing popularity of low-cost devices may contribute to the perception of health benefits at a larger scale.

The ALLO project aims to be innovative in the way it approaches information and its dissemination to residents who are concerned about air quality in their home or are not familiar with the subject. In this paper, we are focusing on one important pollutant, i.e. PM2.5, on more particularly on low-cost sensors that provides PM2.5 data in rooms at short timesteps (usually 5 min.).

Highly energy efficient buildings such as ones built to the Passive House standard, require a very airtight building envelope and the installation of a mechanical ventilation with heat recovery (MVHR). MVHR systems incorporate ambient air filters, which reduce the introduction of particulate matter (PM) from outdoor sources into the dwelling. However, indoor PM sources, e.g. cooking, can also contribute substantially to occupants’ exposure and need to be accounted for when designing ventilation or deriving recommendations for filter classes. 

Over the past few years there have been advances in sensing of some pollutants, primarily particles, that might lead to ventilation controls based on direct sensing of pollutants – particularly those relating to health. In this study we evaluated low-cost (about $200 US) IAQ monitors that measured PM2.5 - the most important health-related pollutant in indoor air. Controlled laboratory tests were carried out with known sources of particles (cooking, cleaning, candles, cigarettes) and by comparing the IAQ monitors response to research-grade and reference measurement methods.

Product connectivity makes products and systems remotely controllable and possibly interoperable with other devices in the house. 
The most common way to achieve this interoperability is to connect these devices locally. On the other hand, products may also be cloud-connected, which allows an easier and seamless interoperability between devices. Hence, data are collected and stored in the cloud. As soon as the measured data is sent to the cloud, large set of data are available and can be anonymously retrieved and statistically analyzed. 

According to past researches, most people spend 80%-90% of their time indoors. The ventilation is very important to people’s health and the comfortable surroundings around us. From the viewpoint of energy saving, mechanical ventilation will consume a large amount of additional energy. So variety of ways measuring natural ventilation is worth considering. In fact, in real life, many people tend to have their windows shut rather than open, and the reasons are complex.

The objective of this study is to provide research results of the actual conditions concerning theconcentrations of PM10, PM2.5, PM1 and CO2 among particle and gaseous pollutants in a subwaycarriage. Mean concentrations of PM10, PM2.5 and PM1, and CO2 in a subway carriage wereinvestigated as 215.1101.4 ? m-3, 86.938.6 ? m-3, 27.011.4 ? m-3, and 1,588714 ppm,respectively. These mean concentrations in a subway carriage were higher when it ran on anunderground track than on a ground track.

In this study the question whether or not and to what extend ventilation and air cleaning can contribute to the reduction of exposure to environmental tobacco smoke in the hospitality industry is answered. First a literature review on ventilation and air cleaning technologies has been executed. Unfortunately, only a few papers reporting experimental data from the hospitability industry were available to answer the proposed question. Therefore a model describing the effect of different ventilation systems and building layouts has been set up.