D6.1 One-pager: Knowledge base/wiki: Difference between revisions

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| title = EDIAQI Deliverable D6.1
| title = EDIAQI Deliverable D4.2
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• '''[http://206.189.52.199/index.php/Main_Page EDIAQI Wiki]'''<br />
• '''[http://206.189.52.199/index.php/Main_Page EDIAQI Wiki]'''<br />
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'''Deliverable:''' D6.1 ''Knowledge Base/WIKI''<br />
'''Deliverable:''' D4.2 ''A Compendium of Pilot Reports and Findings''<br />
'''Work Package:''' WP6: GUIDE<br />
'''Work Package:''' WP4: Monitor<br />
'''Lead partner:''' TalTech<br />
'''Lead partner:''' TalTech<br />
'''Type:''' DEM (Demonstrator)<br />
'''Type:''' DEM (Demonstrator)<br />
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This deliverable presents the architecture, operational deployment, and development plan for the open-access EDIAQI Knowledge Base Wiki and online IAQ Simulation Tool[cite: 20]. Led by Tallinn University of Technology (TalTech) under Work Package 6 (Task 6.1), its primary purpose is to provide accessible, evidence-based technical knowledge and practical guidance on indoor air quality for both non-expert citizens and building professionals[cite: 20, 21]. The deliverable establishes a structured Decision Tree workflow that helps users identify pollution sources, evaluate low-cost sensor options, and select targeted ventilation or filtration interventions[cite: 20]. In parallel, it introduces an interactive machine-learning simulation tool developed to assess residential exposure risks without requiring physical monitoring hardware[cite: 20].
This deliverable provides a comprehensive synthesis of real-world results, building audits, and sensor benchmarks gathered across the four core pilot studies (P1 to P4) and experimental test campaigns within the EDIAQI project. Led by Tallinn University of Technology (TalTech) under Work Package 4 (Task 4.2), its primary purpose is to aggregate pilot performance outcomes, evaluate how successfully each testing ground met its individual objectives, and document the large-scale environmental datasets produced. The compendium serves as a central reference guide for researchers, facility managers, and public authorities seeking to understand practical indoor air quality performance in diverse European building typologies.


== Why is this topic important? ==
== Why is this topic important? ==
People in developed countries spend up to 90% of their daily lives indoors, where exposure to chemical, physical, and biological contaminants poses severe risks to human health[cite: 20, 21]. Despite these risks, European air quality legislation has historically focused on ambient outdoor air, leaving indoor environments largely unregulated[cite: 7, 20].
While controlled laboratory tests provide foundational data, understanding the true performance of indoor air quality interventions requires empirical evidence from occupied, real-world buildings. Different European climates, building structures, and occupant behaviors create complex pollutant dynamics that cannot be fully captured by theoretical models alone.  


Furthermore, European building decarbonisation strategies, such as the Renovation Wave and the recast Energy Performance of Buildings Directive (EPBD), demand stricter indoor environmental quality monitoring during energy renovations to avoid airtight spaces with insufficient ventilation[cite: 20]. The EDIAQI wiki directly addresses this gap by translating complex scientific findings, sensor validation data, and building-physics principles into clear, actionable advice[cite: 20]. It enables property owners, school leaders, and municipal managers to make informed decisions about ventilation maintenance, sensor installation, and occupant health protection[cite: 20].
Furthermore, building operators, school administrators, and local municipalities need validated benchmarks to determine which monitoring setups, ventilation adjustments, and air purification strategies yield measurable health and indoor environmental benefits. Deliverable D4.2 bridges this gap by translating extensive multi-site pilot observations into structured, comparable evidence, supporting informed decision-making for future building renovations and public health protections.


== Key messages ==
== Key messages ==
* '''Open access knowledge platform:''' The EDIAQI wiki provides a centralised, freely accessible repository of scientific and practical knowledge on indoor air pollutants, health risks, monitoring tools, and mitigation measures[cite: 20].
* '''Comprehensive pilot aggregation:''' The deliverable synthesizes findings across diverse testing environments, including municipal buildings, schools, offices, and residential dwellings in Estonia, Italy, Croatia, Lithuania, and Spain.


* '''Structured decision-making workflow:''' The EDIAQI Decision Tree guides users systematically through key diagnostic stages: understanding why IAQ matters, learning how to monitor parameters, identifying whether problems originate indoors or outdoors, and applying appropriate technical solutions[cite: 20].
* '''Evaluation of monitoring solutions:''' It assesses the real-world operational reliability, data consistency, and practical utility of low-cost multi-sensor networks alongside reference-grade instrumentation.


* '''Targeted mitigation strategies:''' The platform clarifies remediation pathways, highlighting filtration systems for outdoor air pollution infiltration and enhanced ventilation or source control for indoor emissions[cite: 20].
* '''Building audit benchmarks:''' The report outlines outcomes from detailed building audits, examining how natural and mechanical ventilation practices influence indoor pollutant accumulation and decay.


* '''Machine learning risk screening:''' The integrated IAQ Simulation Tool uses CatBoost regression trained on cohort data and building registries to predict household concentrations of nitrogen dioxide and fine particulate matter without requiring physical sensors[cite: 20].
* '''FAIR data integration pathway:''' It connects empirical pilot observations to the centralized EDIAQI Data Platform, ensuring that all underlying measurements remain accessible and reusable for future research.


* '''Secure and scalable infrastructure:''' The platform is built on open-source MediaWiki software hosted on DigitalOcean servers with daily backup routines and role-based user management administered by TalTech[cite: 20].
* '''Actionable insights for facility managers:''' The compendium provides evidence-based takeaways regarding the operational efficacy of filtration systems, sensor placement strategies, and occupant engagement campaigns.
 
* '''Evolving project repository:''' The wiki serves as a living platform that continuously integrates one-pager summaries of all consortium deliverables and empirical findings from European pilot studies throughout the project lifecycle[cite: 20].


== What did the EDIAQI project do? ==
== What did the EDIAQI project do? ==
TalTech, together with consortium partners USEV, KNOW, and ANT, designed and deployed the core technical framework and content taxonomy of the EDIAQI wiki using MediaWiki[cite: 20]. The team formulated the EDIAQI Decision Tree to translate technical methodologies into practical diagnostics for non-specialists[cite: 20].
Led by TalTech with active contributions from consortium partners across WP4, the project executed four large-scale pilot studies (P1 through P4) and supporting measurement campaigns. The work involved instrumenting dozens of buildings with interoperable sensor nodes, conducting systematic building audits, monitoring ventilation efficiency using tracer gas and sensor data, and collecting qualitative feedback from occupants.  


In parallel, partner KNOW developed the demo version of the online IAQ Simulation Tool utilizing Python, Streamlit, and Docker containerization[cite: 20]. The predictive engine was trained on environmental measurements, household questionnaires, and building registry parameters from the retrospective COPSAC cohort using CatBoost gradient-boosted decision trees[cite: 20]. Finally, the deliverable established a multi-year editorial roadmap (covering project milestones M10 through M48) to systematically ingest deliverables, sensor validation protocols, pilot findings, and policy recommendations into the wiki[cite: 20].
The collected raw streams were harmonized using common interoperability standards (such as the OGC SensorThings API defined in D4.3) and analyzed using advanced data processing techniques. TalTech synthesized these extensive monitoring campaigns into a unified compendium, evaluating pilot success rates and extracting core technical findings to inform future indoor air quality guidelines.


== What does this mean in practice? ==
== What does this mean in practice? ==
The knowledge base bridges the gap between high-level aerosol science and practical building management[cite: 20]. It provides building operators, public administrators, and occupants with ready-to-use information for evaluating indoor environments, diagnosing ventilation shortcomings, and planning renovations[cite: 20].
The compendium translates complex multi-site environmental monitoring into practical knowledge for building operators, municipal authorities, and technical stakeholders. It provides clear documentation of what works in real-world indoor environments and where operational challenges persist.
 
For non-technical users, the main practical value is that indoor air quality risks can be assessed easily using the online simulator and step-by-step guidance[cite: 20]. For technical stakeholders, the value lies in having validated sensor methodologies, heating and ventilation guidelines, and unified deliverable summaries accessible on a single platform[cite: 20].


{| class="wikitable sortable" style="width:100%;"
{| class="wikitable sortable" style="width:100%;"
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|-
|-
| '''Homeowners and tenants'''
| '''Homeowners and tenants'''
| Offers straightforward guidance on identifying domestic pollution sources (such as gas cooking, dampness, and smoking) and provides a free simulation tool to estimate household pollutant levels and test the impact of habit changes[cite: 20].
| Offers practical insights into how routine domestic activities and natural ventilation impact home air quality, helping occupants adopt healthier daily habits.
|-
|-
| '''Schools and kindergartens'''
| '''Schools and kindergartens'''
| Equips school heads and teachers with clear threshold guidelines, ventilation recommendations, and educational resources to ensure healthy classroom environments for vulnerable children[cite: 2, 6, 20].
| Equips educational leaders with real-world performance data on classroom ventilation, sensor monitoring, and environmental control measures to safeguard children.
|-
|-
| '''Commercial property owners'''
| '''Commercial property owners'''
| Delivers technical benchmarks on HVAC operation, filter selection, and sensor deployment strategies to optimize indoor air quality alongside energy-efficient building operations[cite: 20].
| Delivers benchmark evidence on the operational performance of air purification and ventilation systems in office and commercial environments.
|-
|-
| '''Local municipalities'''
| '''Local municipalities'''
| Provides municipal decision-makers with evidence-based frameworks to audit public building portfolios and incorporate indoor environmental quality standards into local procurement and renovation plans[cite: 20].
| Provides public administrators with a multi-site evaluation of indoor environmental quality across public building portfolios, supporting municipal renovation planning.
|-
|-
| '''EDIAQI consortium partners'''
| '''EDIAQI consortium partners'''
| Serves as the central exploitation and dissemination channel where each work package publishes plain-language one-pagers summarizing technical deliverables and pilot milestones[cite: 20].
| Serves as the primary repository of consolidated pilot results, feeding directly into policy roadmaps, digital twin models, and training materials.
|}
|}


== Recommendations ==
== Recommendations ==
* '''Consult the Decision Tree first:''' Users experiencing indoor air quality concerns should follow the step-by-step Decision Tree to distinguish between outdoor infiltration and indoor building or behavioral sources before investing in hardware[cite: 20].
* '''Consult pilot benchmarks before retrofitting:''' Building managers should review pilot performance outcomes to select ventilation and filtration strategies that match their specific building typology.
* '''Leverage the simulation tool for initial screening:''' Building managers and occupants should use the free IAQ Simulator to gain preliminary indications of exposure risk based on location, building age, and internal appliances[cite: 20].
* '''Ensure proper sensor placement:''' Follow guidelines derived from pilot sensor deployments to capture representative breathing-zone air quality without obstruction.
* '''Prioritize ventilation and filtration interventions:''' Address outdoor pollution primarily through effective mechanical filtration, while using adequate outdoor air exchange rates and local extraction to dilute and remove indoor-generated pollutants[cite: 20].
* '''Combine filtration with active source control:''' Recognize that portable air cleaning must be supported by adequate outdoor air exchange and source management to effectively control mixed indoor emissions.
* '''Utilize validated low-cost sensors:''' When monitoring indoor climate parameters, follow the sensor placement and data evaluation guidelines outlined in the wiki to ensure reliable measurement data[cite: 20].
* '''Leverage interoperable data platforms:''' Utilize standardised data formats and open interfaces established in the project when integrating new monitoring hardware into building management systems.
* '''Follow EDIAQI editorial guidelines:''' Consortium task leaders should regularly translate completed technical reports into structured one-pagers using the standard MediaWiki template to maintain open-access project transparency[cite: 14, 20].


== Limitations ==
== Limitations ==
Deliverable D6.1 documents the initial baseline and structural launch of the knowledge base and simulation tool at month 10 of the project[cite: 20]. At this early stage, empirical datasets from the field pilots (P1 to P4) and targeted measurement campaigns (C1 to C4) were still in the collection phase and not yet fully incorporated into the wiki pages[cite: 20, 21].
As a comprehensive milestone report scheduled for release at a later stage of the project lifecycle, this placeholder reflects planned objectives and structural outlines. Final empirical conclusions, quantitative performance metrics, and cross-pilot comparisons will be fully incorporated upon completion of the ongoing monitoring campaigns and data validation cycles.
 
Additionally, the initial release of the IAQ Simulation Tool is calibrated on Danish cohort data and address registries, meaning predictions outside this geographic training domain should be interpreted as general screening indications rather than precise exposure measurements[cite: 20]. Further updates across later project milestones will integrate broader multi-city datasets, time-series ventilation models, and refined toxicological findings[cite: 20].


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'''Related wiki pages'''
'''Related wiki pages'''
</div>
</div>
* [[Indoor air pollutants]][cite: 20]
<!--* [[Sensors]]
* [[Sensors]][cite: 20]
* [[Recommendations and guidelines]]
* [[Recommendations and guidelines]][cite: 20]
* [[Factors affecting indoor air quality]] -->
* [[Guidelines for national indoor environmental quality requirements]][cite: 20]


[[Category:Project Deliverables and One-Pagers]]
[[Category:Project Deliverables and One-Pagers]]

Latest revision as of 12:10, 3 September 2026

This deliverable provides a comprehensive synthesis of real-world results, building audits, and sensor benchmarks gathered across the four core pilot studies (P1 to P4) and experimental test campaigns within the EDIAQI project. Led by Tallinn University of Technology (TalTech) under Work Package 4 (Task 4.2), its primary purpose is to aggregate pilot performance outcomes, evaluate how successfully each testing ground met its individual objectives, and document the large-scale environmental datasets produced. The compendium serves as a central reference guide for researchers, facility managers, and public authorities seeking to understand practical indoor air quality performance in diverse European building typologies.

Why is this topic important?

While controlled laboratory tests provide foundational data, understanding the true performance of indoor air quality interventions requires empirical evidence from occupied, real-world buildings. Different European climates, building structures, and occupant behaviors create complex pollutant dynamics that cannot be fully captured by theoretical models alone.

Furthermore, building operators, school administrators, and local municipalities need validated benchmarks to determine which monitoring setups, ventilation adjustments, and air purification strategies yield measurable health and indoor environmental benefits. Deliverable D4.2 bridges this gap by translating extensive multi-site pilot observations into structured, comparable evidence, supporting informed decision-making for future building renovations and public health protections.

Key messages

  • Comprehensive pilot aggregation: The deliverable synthesizes findings across diverse testing environments, including municipal buildings, schools, offices, and residential dwellings in Estonia, Italy, Croatia, Lithuania, and Spain.
  • Evaluation of monitoring solutions: It assesses the real-world operational reliability, data consistency, and practical utility of low-cost multi-sensor networks alongside reference-grade instrumentation.
  • Building audit benchmarks: The report outlines outcomes from detailed building audits, examining how natural and mechanical ventilation practices influence indoor pollutant accumulation and decay.
  • FAIR data integration pathway: It connects empirical pilot observations to the centralized EDIAQI Data Platform, ensuring that all underlying measurements remain accessible and reusable for future research.
  • Actionable insights for facility managers: The compendium provides evidence-based takeaways regarding the operational efficacy of filtration systems, sensor placement strategies, and occupant engagement campaigns.

What did the EDIAQI project do?

Led by TalTech with active contributions from consortium partners across WP4, the project executed four large-scale pilot studies (P1 through P4) and supporting measurement campaigns. The work involved instrumenting dozens of buildings with interoperable sensor nodes, conducting systematic building audits, monitoring ventilation efficiency using tracer gas and sensor data, and collecting qualitative feedback from occupants.

The collected raw streams were harmonized using common interoperability standards (such as the OGC SensorThings API defined in D4.3) and analyzed using advanced data processing techniques. TalTech synthesized these extensive monitoring campaigns into a unified compendium, evaluating pilot success rates and extracting core technical findings to inform future indoor air quality guidelines.

What does this mean in practice?

The compendium translates complex multi-site environmental monitoring into practical knowledge for building operators, municipal authorities, and technical stakeholders. It provides clear documentation of what works in real-world indoor environments and where operational challenges persist.

User group Practical relevance
Homeowners and tenants Offers practical insights into how routine domestic activities and natural ventilation impact home air quality, helping occupants adopt healthier daily habits.
Schools and kindergartens Equips educational leaders with real-world performance data on classroom ventilation, sensor monitoring, and environmental control measures to safeguard children.
Commercial property owners Delivers benchmark evidence on the operational performance of air purification and ventilation systems in office and commercial environments.
Local municipalities Provides public administrators with a multi-site evaluation of indoor environmental quality across public building portfolios, supporting municipal renovation planning.
EDIAQI consortium partners Serves as the primary repository of consolidated pilot results, feeding directly into policy roadmaps, digital twin models, and training materials.

Recommendations

  • Consult pilot benchmarks before retrofitting: Building managers should review pilot performance outcomes to select ventilation and filtration strategies that match their specific building typology.
  • Ensure proper sensor placement: Follow guidelines derived from pilot sensor deployments to capture representative breathing-zone air quality without obstruction.
  • Combine filtration with active source control: Recognize that portable air cleaning must be supported by adequate outdoor air exchange and source management to effectively control mixed indoor emissions.
  • Leverage interoperable data platforms: Utilize standardised data formats and open interfaces established in the project when integrating new monitoring hardware into building management systems.

Limitations

As a comprehensive milestone report scheduled for release at a later stage of the project lifecycle, this placeholder reflects planned objectives and structural outlines. Final empirical conclusions, quantitative performance metrics, and cross-pilot comparisons will be fully incorporated upon completion of the ongoing monitoring campaigns and data validation cycles.

Related wiki pages