Infosys Energy Transition Challenge in India

Deadline: 7-Nov-22

Infosys Energy Transition Challenge Inviting innovative startup solutions to improve the energy efficiency of infrastructure & help meet its decarbonisation goals.

Infosys is offering capabilities and innovations to their clients to bring in Energy Transition across the world. They are keen to leverage the start-up ecosystem in India bring in significant innovations to the industry. Infosys welcome participation from Indian Start-ups working on Energy Transition and related fields, using advanced technology to develop industry leading solutions. Infosys are looking for solutions that will help businesses improve the energy efficiency of infrastructure and help meet their decarbonization goals.

Themes for Challenges: Energy Transition.

Incentives

• Fiscal Incentives
  • Following is the breakup of the cash prize money for the wining startups –
    • 1st Prize: Rs. 5,00,000/- (Rs. Five Lakhs only)
    • 2nd Prize: Rs. 3,00,000/- (Rs. Three Lakhs only)
    • 3rd Prize: Rs. 2,00,000/- (Rs. Two Lakhs only)
• Non-Fiscal Incentives
  • Market Access: Top winners will have an opportunity to be enrolled on to the Infosys Innovation Network (IIN) and get GTM support from Infosys to reach their clients
  • IIN Sandbox:  Selected start-ups will also have an opportunity to be on the Infosys Innovation Network Sandbox, providing easy access to their clients for evaluation and possible selection.
  • Infosys Living Labs:  Top start-ups will have an opportunity to demonstrate their offering in their Living Labs Innovation hubs across the world, subject to meeting their showcase criteria.
• Special Incentives
  • Pilot Opportunity – The start-ups may get pilot opportunities with Infosys and/or with their vast network of their clients
  • Partnership Opportunity with Infosys – Possibility of Integrating start-ups as part of Infosys platforms or industry solutions which in turn will be taken to market.

Problem Statement

• Automated Energy Assessment
  • Definition – Perform energy assessment in 2-5 days’ time using Digital technologies including but not limited to IoT, AI, ML, Drones, Thermal imaging, Optics, Electrical measurement automation tech etc. for buildings and / or Industries. (Target – Complete Energy Assessment for Infosys Pune Size campus in less than 1 week).
  • Impact – Quick GTM, reduces proposal time, investment in EA, enables performance-based offerings, Easier to Scale, currently not available in market hence differentiated offering.
• Health analysis, Failure prediction and failure RCA of electrical equipment’s without historical data and irrespective of its make and model.
  • Definition – Monitor health of electrical equipment’s, predict failure (1 week or 1 month in advance), identify root cause of failure without depending on historical data, make and model of equipment, and Voltage levels. The solution to be implementable in less than a week to give results without the need to train the models again and again.
  • Impact – Scalable across industries and sectors, Less dependency on sensors, historical data, Static data etc.
• Quantifying annual degradation of Solar PV panels
  • Definition – As a result of this feature in the digital monitoring and analytic tool, user should be able to quantify the actual YoY degradation of PV panels and compare the same wrt design degradation with highest level of accuracy.
  • Impact – Across the industry, rarely its followed to check the actual degradation of panels and any deviation design would help the customer in claiming warranty from OEM’s.
• Loss modelling for Solar PV system without additional sensors (or with minimum sensors)
  • Definition – Quantifying various losses of Solar PV system: – As a result of this feature in the digital monitoring and analysis tool, user should be able to quantify various losses (Eg: Soiling loss, Temperature loss, Cable loss, Inverter loss, Irradiance loss, String loss etc.) of the PV system with or without the need of actual sensors (Based on various mathematical models) or using drone images, camera feeds etc.
  • Impact – If Mathematical models can achieve good accuracy without the need for deploying actual sensors it would be disruptive. Sensor related mistakes can be avoided (Eg: Module temperature sensor can malfunction for multiple reasons like – sensor is not properly placed on to the panel, soiling loss sensor was not cleaned when module cleaning was carried out last time etc.)
• Optimize / Saving power consumption of idling workstations (Desktop / Laptop) / server
  • Definition – will enable reduction / complete elimination of idle power waste & can also fold up as a check related to occupancy which is communicated to regulate occupancy-based cooling demand.
  • Impact – Energy savings potential in commercial buildings and Data Centers.
• Create Automated LCOE and IRR modelling for renewables including solar and BESS in less than 10 minutes.
  • Definition – Smart project optimization software used in early-stage development to identify the best system design and the right products for renewable projects. Define GCC, IRR and LCOE based models for various options using variables like weather and terrain, factors affecting module performance, as well as finance and revenue structures.
  • Impact – Accurate design in feasibility stage, eliminates assumptions, improve your IRR, and speed up the development cycle.

Eligibility Criteria

• Preferred Start-up Stage – An early Traction or Scaling start-up.
• Preferred Start-up Capabilities – Minimum 1 pilot or implementation.

For more information, visit https://www.startupindia.gov.in/content/sih/en/ams-application/challenge.html?applicationId=632d47e0e4b0eac4b9732d2e