“CNL Smart Building Monitoring and On-going Commissioning”
Canadian Nuclear Laboratories Ltd. (“CNL”) invites organizations with appropriate technical capability and capacity, financial resources, management skills, and demonstrated experience with similar projects (each a “Proponent”) to respond to this request for preliminary information so that we can better understand the market and better understand your capabilities as a supplier.
Purpose of this RFPI
The purpose of this RFPI is to solicit information and general feedback from Proponents who have knowledge and experience in providing goods and/or services so that CNL may assess the viability of the following Project: “CNL Smart Building Monitoring and On-going Commissioning”
CNL is working with the National Research Council Canada (NRC) to implement Smart Building technologies in target buildings at Chalk River Laboratories (CRL). CNL would like to explore and evaluate the opportunity of using Smart Building technology in buildings includes offices, laboratories, storage and other archetypes. The proposed project will provide continuous evaluation of building parameters to improve its building operations, increasing energy efficiency and decreasing greenhouse gas (GHG) emissions. The system shall be able to provide performance analytics, fault detection and diagnostics in order to assess and recommend energy conservation measures for improvement in energy and operational efficiencies associated with Smart Building technologies.
The CRL campus currently has approximately 50 buildings of various sizes and utilizes Siemens Building Automation Systems (BAS) APOGEE (later to be upgraded to Siemens DESIGO). The central BAS server has the ability to collect building parameters over its existing network connections. CNL is seeking to understand the various methods available in the market to connect to the existing BAS and the cybersecurity risks associated with transmitting the data. The preferred solution will be able to interface at the BAS server level (APOGEE later DESIGO) in order to facilitate bringing additional buildings online in the future in a cost effective manner.
A pilot study will initially include 1 or 2 buildings with a BAS data count (parameters) for fault detection and diagnosis estimated to be less than 25,000 points. The expected BAS data point count may increase to over 50,000 points within the next 5-10 years.
