Call for non invasive Solutions to evaluate the Energy Efficiency potential of Commercial Buildings

A solution that can quickly scan, profile and audit a building’s energy performance and potential in a non-invasive manner will likely promote wider reception and adoption of such assessment tools, hence leading to better understanding of measures that can promote energy efficiency.
Application Deadline in 2 months
Eligible Countries | Regions | Cities  Worldwide

ENGIE Factory Singapore is seeking smarter solutions to assess potential energy efficiency gains through building energy renovations. Buildings generate approximately 40% of global GHG emissions and constitute up to 36% of global energy use. The refurbishment and retrofitting of existing buildings provide a great potential for energy savings and reduction of carbon emissions. 

Current energy modelling or assessment solutions of a building are limited in effectiveness due to the high cost and resources required, complexity in data acquisition and reliance on historical data (not all buildings have quality data). As a result, building owners have high investment barriers (both in cost and effort) to drive the necessary changes.

A solution that can quickly scan, profile and audit a building’s energy performance and potential in a non-invasive manner will likely promote wider reception and adoption of such assessment tools, hence leading to better understanding of measures that can promote energy efficiency.

The desired outcome is a solution that can quickly scan and profile a commercial building in a non-invasive manner to provide an estimate of its current energy performance and energy efficiency potential. 

Technical specifications & requirements

Solution should be:

  • Simple to deploy (perhaps mainly digital) with minimum manual execution required on-site – for e.g., being able to perform assessment/scan of the commercial building energy profile without needing to tap into the control systems of the building or require manual/laborious resources to execute.
  • Comprehensive in assessing the energy performance of the whole building and identifying estimate energy savings potential and reducible emissions of the building (not just one or some sub-systems).
  • Compliant with industry standards for measurement accuracy and benchmarking.
  • Able to provide building owners a snapshot of where their priority areas are to address for energy renovation.
  • Minimally at prototype/minimum viable product (MVP) stage, and able to be deployed at pilot test sites.
  • Not be readily or commercially available in the market

Applicant should indicate estimated commercial price of solution and cost-benefit analysis of the solution in the proposal.

Besides addressing the above requirements, the proposed solution should also fulfil one or all the following criteria:

  • Enhance safety of operations; 
  • Reduce reliance of manpower; 
  • Improve quality, consistency and service delivery; 
  • Achieve cost-effectiveness;
  • Improve efficiency/productivity.

 

The official language of the Challenge is English. All Challenge matters, including registration, correspondence, and project submission, etc must be completed in English.

Business Opportunity

ENGIE Factory is prepared to support the development of the solution to a commercial business. ENGIE Factory can also provide access to a global market across 70 countries.

Development timeline

3-6 months to pilot and validate the technical feasibility of the solution, and another 3 months to plan the commercialisation roadmap.

Funding support

Enterprise Singapore may support shortlisted local startups with funding of up to 70% of the qualifying project cost, capped at $250,000. Foreign solution providers or Institutes of Higher Learning (IHLs)/Research Institutes (RI) are encouraged to work with local startups for solution development.

Application Deadline: February 14, 2020, 12pm (Singapore time)
 
Source: ENGIE

 

Illustration Photo: Buildings in Singapore (credits: Sarah Lou / Flickr Creative Commons Attribution 2.0 Generic (CC BY 2.0))

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Adalidda's Team

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