Guest blog: Modular Relaxed Eddy Covariance sensor for Air Quality – MOREC-AQ

Our featured Scoping Study this month is from the team lead by Dr Lekan Popoola, examining the relationship between ammonia (NH3) and particulate matter (PM).

The Clean Air Strategy (Defra, 2019) sets out an ambitious, stringent target to cut emission of major air pollutants by 2020 and 2030. A significant air pollution challenge is the shift in the relative importance from a relatively small number of major emission sources to many minor sources (such as intensive agriculture, wood burning from homes and smaller industrial sites). The impact of COVID-19 restrictions and various lockdowns have created changes in mobility behaviour, with increasing importance of residential emissions as many of us work from home. Evaluation of the impact of these emission sources requires evidence-based scientific methods and data.

During the recent SAQN collaboration building workshop, research scientists from STFC-RAL Space (Thomas Wall), Cranfield University (Zaheer Nasar), and the University of Cambridge (Lekan Popoola) were successful in getting funding from SAQN to develop a proof-of-concept for a cost-effective Modular Relaxed Eddy Covariance (MOREC-AQ) measurement approach to fluxes/source characterisation and a miniaturised cost-effective NH3 instrument to incorporate into MOREC-AQ (see schematics below).

The specific objectives include: (1) feasibility studies for a portable high-resolution NH3 sensor; (2) design and characterisation of a prototype MOREC-AQ unit; (3) explore additional funding opportunities to further develop and optimise the prototype MOREC-AQ unit.

Monitoring and quantifying atmospheric emissions and their drivers is important to investigate the interplay between gaseous pollutants and PM, informing and evaluating the impacts of air quality interventions. This proof of concept study will allow scoping out the development of cost-effective, reliable emission monitoring solutions for air quality management, particularly in the context of the NH3/PM relationship.

System schematics for the MOREC-AQ

If you have comments or questions about this project, you can share them on our discussion board.

Guest Blog – Sources, behaviour and mitigation strategies influencing indoor air quality: A pilot study

Each month, we welcome a guest blog post from one of our current Scoping Studies, funded through our recent Collaboration Building Workshop. This month we’re pleased to hear from a team examining different influences on indoor air quality.

The average person in the UK spends more than 90% of their time indoors, and indoor air quality (IAQ) related emissions can contribute significantly to total air pollution exposure. Despite this, relatively few studies focus on IAQ compared to outdoor air quality. 

A recent SAQN workshop brought together experts on building design and ventilation, indoor air quality measurement, occupant behaviour, and computational fluid dynamics (CFD). The 9 experts* from academia and industry will be utilising the domestic energy systems and technologies incubator based at The University of Chester (designed to represent a kitchen space), to characterise IAQ related events using equipment donated by the participating organisations.

In the period of January to June 2021, this pilot study aims to:

  • Define occupant behaviours (e.g., cooking, cleaning, etc) based on the UK Time Use Survey.
  • Carry out physical behaviours in different ventilation conditions, e.g. cooking & cleaning.
  • Measure air quality factors (including particulates and microbes) and relevant environmental factors (e.g., temperature and air movement) before and after the activities occur.
  • Develop a CFD simulation and utilise STFC high performance computing facilities to improve its relationship to actual data. 

The data from this initial study will be used as proof of concept to allow this group to continue developing and validating the CFD simulation against physical results, as well as to facilitate future deployments into real-world indoor environments. Once the CFD simulation is sufficiently developed, it will enable faster exploration of many behavioural activities and environmental settings.

If you have comments or questions about this project, you can share them on our discussion board.

* Dr Vicki Stevenson, Cardiff University; Dr Archit Mehra, University of Chester; Dr Zaheer Nasar, Cranfield University; Dr Stefano Rolfo, STFC; Dr Stephanie Gauthier, University of Southampton; Dr Alejandro Moreno Rangel, Lancaster University; Dr Jo Zhong, Nottingham Trent University; Dr Rob Ferguson, University of Essex; Dr Douglas Booker, NAQTS