Imagine trying to track invisible gas leaks in a frozen wasteland where humans can't easily go. This project builds a team of smart sensors, drones, and towers that talk to each other wirelessly to map carbon dioxide and methane. It's like setting up a high-tech security system for the planet's breath in the hardest places to reach.
Current greenhouse gas monitoring is too expensive and requires too much human presence, making it impossible to get accurate, high-resolution data from remote or extreme environments like the Arctic.
["High Performance Stabilized Sensor (HPSS) for CO2, CH4, and H2O measurement in extreme temperatures.", "Micro-pre-concentrator (\u00b5PC) device with integrated micro-heaters to improve NDIR sensor detection limits.", "Three deployment platforms: a static tower, a static chamber, and a UAV-mounted sensor system."]
If you are a carbon auditing firm dealing with the high cost of manual sampling in remote wetlands — this project developed an autonomous platform that reduces on-site intervention and operating costs. It uses a combination of drones and static towers to collect long-term data without needing constant human presence.
If you are an infrastructure operator dealing with methane leaks in Arctic regions — this project developed a High Performance Stabilized Sensor (HPSS) that maintains accuracy during rapid temperature changes. This allows for precise monitoring in extreme physical conditions where standard sensors fail.
If you are a UAV manufacturer dealing with the lack of specialized gas payloads for environmental drones — this project developed a UAV-mounted NDIR sensor. This allows drones to quantify CO2 and CH4 emissions at a fine spatial scale autonomously.
Based on available project data, the specific unit price is not listed, but the project objective is to create 'cost-efficient' solutions to reduce operating and maintenance costs.
Yes, the project has already developed an 'industrial-grade version' of the sensor called the High Performance Stabilized Sensor (HPSS) designed for future commercialization.
Based on available project data, the project follows a 'DCE strategy' focusing on medium and long-term commercialization, though specific licensing terms are not provided.
The platform uses a combination of P2P, G4/G5/LTE, LORAWAN, and WiFi technologies to send data from the observatories to a cloud.
The project period runs from 2023-01-01 to 2026-06-30, with industrial-grade sensor prototypes already assembled by June 2025.
The consortium is well-balanced for commercialization, featuring a 38% industry ratio with 3 industrial partners and 2 SMEs. With 8 partners across 7 countries, the project blends academic research from 2 universities and 3 research centers with practical manufacturing capabilities, specifically targeting the transition from prototype to industrial-grade hardware.
Contact STIFTELSEN NILU in Norway for partnership inquiries.
Contact us to connect with the MISO industrial partners for sensor integration.
