Ed Colby Purr Metrix
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Average data center uses 3x more cooling than the IT equipment requires. Upsite technologies Hot/Cold containment etc. 71% of datacentre managers consider energy efficiency a priority factor in new investments Cooling is the second largest portion of a data centre’s energy footprint. Most data centres could run much warmer than they do but hotspots place a artificially low floor on the operating temperature for many datacentres. Let’s look at heat. Heat data on its own tells you something about your consumption and help you cut your costs But heat affects staff morale and equipment performance. So what are the more valuable problems that heat data can help with? This is what our customers tell us is valuable.
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Ed Colby Purr Metrix
- 2. Emerging opportunities www.purrmetrix.com@purrmetrix From consumer products From Smart grid From Smart cities Knowledge from distributed measurements Remote monitored Data hungry
- 3. www.purrmetrix.com@purrmetrix Example: SME offices Fewer staff complaints Monitor HVAC performance New energy saving strategies
- 4. www.purrmetrix.com@purrmetrix Example: Data centers Hotspot prevention Reduced cooling costs Maximised rack density Early prediction of failure
- 5. www.purrmetrix.com@purrmetrix Anatomy of an IoT opportunity Making clever inferences from simple things Seeing the bigger picture Autonomous operation Real-time and reactive
- 6. Today. www.purrmetrix.com@purrmetrix Detailed, retro-fitted, real-time heat mapping and alerting
- 7. Building value: From data to knowledge Data Temperature Hardware sales Actionable knowledge Temperature + Mapping + Time Hardware sales + Subscription plus Information Temperature + Mapping Hardware sales + Subscription www.purrmetrix.com@purrmetrix
- 8. www.purrmetrix.com@purrmetrix 2015 Beta systems First revenues Concierge trials Build team Build channels Scaled manufacturing
- 9. PurrMetrixA bootstrapped, lean, IoT, big data, real-time analytics startup Not A Platform™ www.purrmetrix.com@purrmetrix
- 10. Stage How Cost Documentation Who Proof of concept Dev boards and soldering Irons - Specifications and WikI Pilot build Custom design and hand build - SCH, PCB Paid customer trials Local small scale CEM, 3D printing 4x BOM, Test plan, MCAD, CE file and mark Initial volume Volume CEM local assembly, Soft tooling 2x Yielded BOM, Detailed MCAD production database Volume delivery Offshore Volume CEM Volume tooling 1x PLM system Staging manufacture or, everyone wants to be FOXCONN www.purrmetrix.com@purrmetrix
Notes de l'éditeur
- I’M ED COLBY AND I DON’T HAVE A PLATFORM.
- Over twenty years working across a number of industries we’ve found problems with common themes. We come from a background of energy efficiency, hardware and data, across consumer products, smart cities and smart grid – 30 years of talking to people making and using sensor based systems. Here are some of the types of problems that can’t be solved with one clever sensor
- A survey last year suggested 60% of facilities managers don’t (or can’t) use building energy management systems. It’s not because you can’t get value from a BEMS – over the past four years there are hundreds of case studies of facilities managers who have saved 40% or more of their energy footprint. It’s because BEMS are hard to install, hard to use and don’t provide good analytics – they tend to rely on experts to interpret the results and take action.
- Average data center uses 3x more cooling than the IT equipment requires. Upsite technologies Hot/Cold containment etc. 71% of datacentre managers consider energy efficiency a priority factor in new investments Cooling is the second largest portion of a data centre’s energy footprint. Most data centres could run much warmer than they do but hotspots place a artificially low floor on the operating temperature for many datacentres. Let’s look at heat. Heat data on its own tells you something about your consumption and help you cut your costs But heat affects staff morale and equipment performance. So what are the more valuable problems that heat data can help with? This is what our customers tell us is valuable.
- Context? Things happening in the market: interest in higher resolution information: not just Take for example the data that is used to make improvements in energy efficiency. Although energy efficiency is rated as important by asset owners in many many surveys, effective use of the tools is much lower. Why? Because energy efficiency is not the most valuable use for energy data. http://www.energylivenews.com/2014/02/25/lack-of-tools-hinders-building-energy-savings-survey/ http://www.vertatique.com/no-one-can-agree-typical-pue
- Making heat data valuable needs context - location and time for multiple sensors. To be good value means it requires minimum effort to get to the knowledge Purr provides a hardware system that is trivial to deploy - minutes, not hours, even for non technical office managers - and combines it with a web account that turns data into simple, actionable information.
- The IoT provides a great opportunity to build business models that rely on hardware and scale with the value that the hardware offers. Selling a knowledge product allows us more flexibility to scale the product offering up and down with the value that the knowledge represents. We’re just beginning to determine the early value propositions that customers want from Purr’s system.
- Roadmap for the rest of this year Beta system in deployment Early BOM and manufacturing plan Pilots in offices and data centres (tick) First commercial sales (tick) Building team Building channels Scaling manufacturing