Green Power Labs Inc.: federal grants and contributions: 28 agreements; $7.0M value; 2 departments; 9 programs.
Assay record ASY-CA-04OZ3WY1OT · Cite as: Assay Systems, “Green Power Labs Inc.: federal grants and contributions”, https://assay-systems.com/register/ca/grants/r/green-power-labs-inc/
Develop advanced efficiency building energy management system: SolarSat Data for Buildings
Facilitate market entry for predictive building energy controls
Solar energy monitoring and forecasting service prototype
Marketing and business development for solar power forecasting solution
Hire a marketing manager; undertake marketing activities
The proposed project is focused on automation integration in urban centres, specifically – on high resolution real-time data on DER generation and storage for smart city energy distribution applications. The project proposes deployment of Green Power Labs’ predictive analytics platform at 500 buildings and residential houses in the smart urban environment of the City of Orlando. The project includes integration of GPL’s predictive analytics system in the partners’ service delivery platform through software system adjustments, Integration of GPL’s trends visualization tool as a part of the par
Provide assistance to mitigate impacts of Covid-19
The funding provided from the Innovation Assistance Program is to assist innovative, early-stage small- and medium-sized enterprises that are unable to access existing COVID-19 business support.
The funding provided by the IAP program is intended to assist innovative small and medium-sized enterprises in the start-up phase that cannot access existing commercial support related to COVID-19.
Electrical Vehicles market in North America and globally is promptly growing. However, the widespread adoption of EVs has a number of challenges such as inadequate charging infrastructure, risk of grid overload, high-carbon grid profile, smart and flexible charging, and smart energy management for effective EV load management. To address/reduce all these challenges, Green Power Labs proposes a project to explore a Predictive Energy Management approach to EV Infrastructure using real-time economic dispatch based on EV load, battery state-of charge and solar power generation.
Hire a chief engineer
Hire a technical expert in meteorology
Hire a Chief Operating Officer
The project is centric to the development of our market response to “Non-Digitized Buildings”. The critical vision of the project is that Green Power Labs’ efforts for Non-Digitized Buildings must form the core product for future product generations.
The proposed project addresses Green Power Labs’ dependency on current BAS providers for key communications functionality and information security requirements. The project will develop a common communications solution to overcome the uniqueness in building IT systems in deploying Green Power Labs’ Predictive Building Control in its target commercial buildings market. The project will also secure GPL product and public facing IT infrastructure through adherence to appropriate industry standards.
The project is focused on management of existing patent assets and applications in predictive energy management. This includes the Predictive Building Control patent application granted in the U.S., and the five pending patent applications in predictive control and predictive analytics technologies.
Hire a consultant to assist with a commercialization strategy
The funding provided from the Innovation Assistance Program is to assist innovative, early-stage small and medium-sized enterprises that are unable to access exissting COVID-19 business support.
This project is to help the firm engage with European partners and develop co-innovation partnerships with European multi-national enterprises (MNEs), industry leaders, and key global value chain actors, through the EUREKA ITEA Cluster.
The project will support development of intellectual property capacity within the firm.
Contains information licensed under the Open Government Licence – Canada. Source: Government of Canada proactive disclosure of grants and contributions (open.canada.ca, dataset 432527ab-7aac-45b5-81d6-7597107a7013), 1,327,352 rows as published, collapsed to one agreement per agreement number (per reference number where none is given) at its latest amendment, which carries the full agreement value. Years are the agreement start year. Agreements with individuals are counted but not named.