Tender Details

Country: Canada
Summary: Cost Effectiveness (Ce) Tool
CAT Ref No: 115132975
Deadline: 24 Mar 2025
Financier: Self Financed
Purchaser Ownership: Government
Tender Value: Refer Document
Notice Type: Tender
Document Ref. No.: RFP 710
Purchaser's Detail:
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Description:
The Cost-Effectiveness Tool (CE tool) is an excel-based tool that supports Independent Electricity System Operator (IESO) internal staff and external service providers to evaluate the cost-effectiveness of implementing energy conservation and demand management programs in Ontario. It is also used during the program design phase to screen and select cost-effective programs to be offered to various sectors.The CE tool was developed in 2013 and has gone through many iterations, incorporating enhancements to be more useful to the Demand Side Management (DSM) team. However, the tool has begun to reach its limitation in terms of computation speed and file size. As the DSM team evolves, implementing more region-based programs and incorporating distributed energy resources (DER) and beneficial electrification (BE) measures, it is critical that the CE tool needs to be attuned with these changes. Hence, the DSM team is looking to procure a cloud-based solution that will leverage Software as a Service (SaaS) to improve computation speed and usability.
Documents:

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Cost Effectiveness (Ce) Tool - Canada Tender

The INDEPENDENT ELECTRICITY SYSTEM OPERATOR, a Government sector organization in Canada, has announced a new tender for Cost Effectiveness (Ce) Tool. This tender is published on CanadaTenders under CAT Ref No: 115132975 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-03-24.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.