Ready-to-deploy Data Infrastructure

Enabling Interoperability Between Energy Hubs

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Demo-CleanEnergy (#7)
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Power your R&D strategy with the data-enabled analytics engine

Data intelligence and models for the emerging clean energy industry

Discover opportunity

Our robust technology management tools, development matrix, and techno-economic cost models provide prescriptive intelligence that recommends actions and offers viable commercialization strategies.

  1. K. Malek, E. Maine et al, 2013, A Techno-Economic Cost Assessment Platform for electrochemical Energy Materials, ECS Proceedings, MA2013-01 135.
  2. M. Toupin, K. Malek, A. Mokrini, 2016, Techno-Economics of a New High Throughput Process for Proton Exchange Membranes Manufacturing, EVS29 International Battery, World Electric Vehicle Journal 8(2):431-442.

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Grid-scale valuation

Value analysis of high-performance energy storage technologies for on-grid, off-grid and transportation applications

  1. S. Shi, K. Malek, et al, 2020, Canadian Energy Storage report: 2019 case study for the Ontario market, NRC Publications Archive https://doi.org/10.4224/40001833
  2. C. Regoui, R. Baker, G. Gonzales-Calienes, S. Shi, Y. Grinberg, M. Kannangara, K. Malek, Q.  Wang, F.  Bensebaa, A. Tuck, W. Skrivan, 2020, Canadian energy storage report: 2017 case study for the Alberta market, NRC Publications Archive https://doi.org/10.4224/40001909
  3. K. Malek, J. Nathwani, 2015, Technology management tools for assessing emerging technologies: The case of grid-scale storage, Management of Engineering and Technology (PICMET), IEEE, pp. 2346- 2354, DOI 10.1109/PICMET.2015.7273228

  4. K. Malek, Canadian Energy Storage Study: Market opportunity, technical analysis and socio-economic assessments of grid-scale energy storage in Canada, IEA REWP Workshop “The Role of Storage beyond Electricity Concept and Draft Agenda”. 29 September 2020

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Roadmap and supply chain intelligence

Highlighting the strengths and diversity of Hydrogen economy, supplier demographics and business ecosystem to unravel competitiveness and uncover risks of new investment opportunities.

  1. C. Kompis, K. Malek, 2016, Fuel Cell Modeling Strategic Roadmap: A Systematic Approach, Fuel Cells, 16, 760-770, DOI: 10.1002/fuce.201500205.
  2. K. Malek, J. Yang, F. Girard, 2016, Fuel Cell Supply Chain: Canadian Manufacturing Suppliers Landscape Analysis, EVS29 International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium – Montréal, Québec, Canada, June 19-22. 

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Circularity of renewable sources

We combine big-data and predictive models with socio-economic and environmental assessment (GHG) to understand the impacts of adopting renewable sources and their value chain in various jurisdictions.

  1. K. Malek, E. Maine, I. McCarthy, 2014, A Typology of Clean Tech Commercialization Accelerators, J. Engineering and Technology Management, 32, 26-39.
 http://dx.doi.org/10.1016/j.jengtecman.2013.10.006
  2. M. W. Melaina, J. Eichman, K. Malek, et al. 2015, Hydrogen energy storage: grid and transportation services, NREL/TP-5400-62518, NREL

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Offerings

We offer accelerated R&D strategy, data intelligence and utilization, and technology management solutions by employing proprietary assessment frameworks:
    • Technology development matrix (TDM)
    • Techno-economics analysis (TEA),
    • Value analysis models and technology road maps (TRM)
    • Deep analysis of your emerging technology: techno-economics and upscaling of energy materials to devices

Support proof of concept research, materials-to-component integration, device development, and demonstration

Sector-specific technology management tools, technology development matrix, and knowledge graphs

Evaluate potential of product commercialization, build and maintain a robust business ecosystem and cost-effective supply chain strategy

Understand circularity of renewable sources, perform full life-cycle cost, and calculate GHG assessment

Project portfolio

We are pioneer in developing methodologies and practical tools for Techno-economic Cost (TCM) models. TCM is a tool to assist decision-making in technology portfolio management and new product development. The model was customized for the use of various individual and consortium projects in EU, US, South Africa, and Canada.

Succeeding with new energy materials

Scale-up cost analysis and techno-economic assessment of a novel hydrogen production technology (2021)

Techno-economic models for grid-storage

Grid-scale energy storage roadmap and cost analysis tool (2017-2020)

Understand circularity of renewable sources

Scale-up cost assessment for novel Li-ion materials for heavy-duty and auxiliary applications (2018)

Unlock real potential of emerging energy technologies

Techno-economic assessment of pilot plan to produce mesoporous carbon from polysaccharide sources (2016-2017); Cost assessment analysis of a novel cathode materials for light duty automotive applications (2013)

Accelerated energy materials development

Development and optimization of a techno-economic cost assessment platform for fuel cell materials (2014-2016)

Regional and national energy landscape

Development of a regional, multi-year technology roadmap for Hydrogen generation and storage technologies (2012-2013); A Fleet Life Cycle Assessment Platform (2013-2014)

Privacy & Policy

blue AI

blueAI is an analytics and data-as-a-service platform dedicated to use-cases within clean energy, smart mobility, and supply chain 4.0. The platform stores, enriches, labels, analyzes, categorizes, and visualizes enterprise data using pre-trained AI/ML models.

P.O. Box 45021, Vancouver BC, Canada V6S 2M8 | info@blueprime.ca | +1 844 242 4624