Remote energy system calibration & data validation framework - YT-018

Genre de projet: Innovation
Discipline(s) souhaitée(s): Génie - informatique / électrique, Génie, Génie - mécanique
Entreprise: Dexterra Group Inc.
Durée du projet: 6 mois à 1 an
Date souhaitée de début: Dès que possible
Langue exigée: Anglais
Emplacement(s): Yellowknife, NT, Canada
Nombre de postes: 1
Niveau de scolarité désiré: Études de premier cycle/baccalauréat
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: No

Au sujet de l’entreprise: 

Dexterra Group is a Canadian-based, publicly listed company (TSX: DXT) that delivers integrated facility management, workforce accommodation, and infrastructure support services across North America. With a workforce of over 9,000 employees, Dexterra supports a wide range of public and private sector clients by creating, managing, and optimizing built environments that are essential to economic and community infrastructure.

Dexterra’s innovation efforts are led by its internal Solutions Innovation group (iLab), which focuses on developing, piloting, and scaling new technologies that enhance service delivery, operational efficiency, and sustainability. iLab operates across key domains including digital tools, smart building systems, robotics, process optimization, and client experience, leveraging data, analytics, and emerging technologies to transform traditionally manual operations into proactive, data-driven services.

Through collaboration with industry partners, technology providers, and academic institutions, Dexterra advances applied research initiatives that directly impact operational performance. These partnerships enable the organization to test and deploy innovative solutions in real-world environments, supporting continuous improvement and the development of highly qualified personnel.

Veuillez décrire le projet.: 

This project focuses on improving the reliability and usability of building energy management system (BEMS) data at a remote healthcare facility in Yellowknife. Current system performance is constrained by inconsistencies in sensor calibration, incomplete load tracking, and network-related data integrity issues. These challenges limit the organization’s ability to optimize energy performance and meet contractual efficiency targets.

The proposed work will develop a structured methodology to validate, recalibrate, and monitor sensor networks across mechanical and electrical systems. The candidate will conduct on-site system audits to map energy loads, assess sensor accuracy, and identify network communication gaps. Using this data, they will design and implement a validation framework that ensures sensors are producing reliable, actionable data.
The project will also explore data reconciliation techniques to identify discrepancies between expected and observed system behavior, and implement monitoring tools to flag anomalies in real time. Outputs may include calibration protocols, system documentation, and a scalable framework for ongoing validation across similar facilities.

Methodologies will include field testing, data analysis, network diagnostics, and applied engineering principles in electrical and controls systems. This work represents an incremental innovation in energy management practices, enabling more data-driven decision-making and improving operational performance in remote environments.

Expertise ou compétences exigées: 

Electrical or mechanical engineering fundamentals (HVAC systems, loads, controls)
Experience with Building Automation Systems (BAS/BEMS)
Sensor calibration and instrumentation knowledge
Data analysis (Excel, Python, or similar tools)
Network diagnostics (IP-based systems, field communications protocols such as BACnet)
Ability to work in remote environments and conduct field assessments

Optional assets:

Experience with energy modeling or energy audits
Familiarity with healthcare facilities or critical infrastructure
Knowledge of IoT sensor networks