Research and Development, Renewable Energy

MIQUAA – Industrial Air Quality Improvement

YEAR

2021–2023

PARTNERS

Italimpianti S.r.l. (project lead and end user); collaboration with research centers and suppliers of sensors and AIA technologies

LOCATION

Italimpianti production facility, Via delle Sorti 1E, Pian Camuno (BS), Italy

Research and Development project aimed at designing, prototyping, and validating—within a real industrial environment—an integrated solution for the abatement of atmospheric pollutants in industrial sites. The program included site analysis, design and construction of AIA/AIA-C systems, prototype testing and full-scale applications, on-site integration, and an IoT-based environmental monitoring platform with data analytics and intelligent controls.

ABSTRACT

MIQUAA designs, prototypes, and validates in a real industrial plant an integrated solution for the reduction of airborne pollutants, featuring continuous monitoring and intelligent indoor/outdoor control. The project covers site diagnostics, design and construction of AIA/AIA-C systems, prototype testing, full-scale deployment, and an IoT platform for real-time data acquisition and AI/ML analytics (predictive control, anomaly detection), concluding with post-deployment evaluation.


THE CHALLENGE

·       Ensure operational continuity and compliance with AIA/AIA-C requirements while reducing PM, VOCs, NOₓ, and process dust

·       Reliably measure diffuse emissions and indoor/outdoor microclimatic conditions

·       Shift from reactive interventions to preventive and predictive control


THE SOLUTION

An end-to-end system combining:

·       Abatement: Integrated Multi-Scrubber system (integration of Venturi scrubbers, spray scrubbers, and an innovative plate scrubber), sized according to the specific process

·       IoT Monitoring: LPWAN sensor networks (e.g. LoRaWAN / NB-IoT), edge gateways, and real-time dashboards

·       AI/ML: Forecasting, set-point optimization, anomaly detection, and proactive alerts

·       Integration: Interfacing with SCADA / MES / CMMS via OPC-UA, Modbus, and APIs


OBJECTIVES

·       Measurable reduction of pollutant concentrations (PM, VOCs, NOₓ) and dust fallout

·       Regulatory compliance with full audit-ready traceability

·       Improved HSE (health and safety), air quality, and operational comfort

·       Scalable foundation for multi-site deployment and industrialization


SCOPE AND ACTIVITIES (OR1–OR6)

OR1 — Site Analysis & Baseline
Mapping of emission sources and risk areas, measurement campaigns, airflow modeling, and hotspot identification.

OR2 — Design & Construction of AIA/AIA-C Systems
Sizing of the Integrated Multi-Scrubber, layout design, ATEX/CE requirements, and HSE planning.

OR3 — Prototype & Testing
Bench testing and pilot line validation of capture and filtration efficiency, pressure drop (ΔP), airflow rates, and maintainability.

OR4 — Full-Scale Deployment & On-Site Integration
Installation, functional testing, SCADA/MES interfacing, and operator training.

OR5 — “Smart” IoT Platform & Analytics
LPWAN sensors, edge computing, data lake and microservices, web dashboards, AI/ML for predictive control and anomaly detection, and APIs.

OR6 — Post-Deployment Evaluation
Environmental and operational KPIs, continuous verification, set-point optimization, and compliance reporting.


TECHNICAL ARCHITECTURE

·       Abatement Systems: Integrated Multi-Scrubber, variable-flow ventilation

·       Sensor Network: PM, VOC, NOₓ, temperature/relative humidity, differential pressure, airflow; edge gateways; secure backhaul

·       Software & Data: Data ingestion pipelines, time-series storage, rules engine, AI/ML models, role-based dashboards, CSV/PDF exports

·       Security & Compliance: System hardening, encryption, identity management, audit logs; compliance with AIA/AIA-C requirements and ISO/IEC best practice

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