Inspiring Energy Conservation Through Open Source Metering Hardware and Embedded Real-Time Load Disaggregation
This morning I learnt that my full co-authored (with co-author William Sung, Ryan Dela Cruz, Brett Yarrow, Bob Gill, Fred Popowich, and Ivan Bajic) paper “Inspiring Energy Conservation Through Open Source Metering Hardware and Embedded Real-Time Load Disaggregation” was accepted at IEEE‘s PES Asia-Pacific Power and Energy Engineering Conference (IEEE PES APPEEC 2013). So I am headed off to Hong Kong at the beginning of December. Here is the paper abstract:
Utility companies around the world are replacing electro-mechanical power meters with new smart meters. These digital power meters have enhanced communication capabilities, but they are not actually smart. We present the cognitive power meter (c-meter), a meter that is actually smart. By using load disaggregation intelligence, c-meter is the realization of demand response and other smart grid energy conservation initiatives. Our c-meter is made of two key components: a prototype open source ammeter and an optimized embedded load disaggregation algorithm (uDisagg).
Additionally, we provide an open source multi-circuit ammeter array that can build probabilistic appliance (or load) consumption models that are used by the c-meter. uDisagg is the first load disaggregation algorithm to be implemented on an inexpensive low-power embedded processor that runs in real-time using a typical/basic smart meter measurement (current, in A). uDisagg can disaggregate loads with complex power states with a high degree of accuracy.
Keywords: embedded software, energy conservation, load modelling, open source hardware, real-time systems
This paper shows the results of our Cognitive Power Meter (c-meter) version 1. One thing to note, we have not released this to open source — we still need to do some code clean up.
Last month Amid Sedghi from SFU Carbon Talks interviewed me for an article on computational sustainability. He has now posted his article called “Computational sustainability: a modern collaborative approach to sustainable development” which can be viewed here.
For those of you who would like to know what computational sustainability is the Institute for Computational Sustainability (ICS) defines it as:
Computational Sustainability is an interdisciplinary field that aims to apply techniques from computer science, information science, operations research, applied mathematics, and statistics for balancing environmental, economic, and societal needs for sustainable development.
Focus: developing computational and mathematical models and methods for decision making concerning the management and allocation of resources in order to help solve some of the most challenging problems related to sustainability.
Critical though is always needed when is comes to solving the energy conservation and sustainability problems that face us and future generations. Jumping on populate bandwagons (e.g. electric cars and CFL lights) will not solve this–neither for the short-term nor the long-term.
Thinking of Sustainability,
- Electric cars are no panacea (transportnh.org)
- Lomborg: “Electric Cars Don’t Solve The Automobile’s Environmental Problems…Are More Polluting” (climatedepot.com)
- Power tripping: How green are electric cars? (roadtrafficsigns.com)
- Electric Vehicles Might Not Benefit the Environment After All (tech.slashdot.org)
- “Unclean at Any Speed” – A Recommended Article (integralpermaculture.wordpress.com)
- Electric Cars Among Dirtiest Transportation Options According to Comprehensive Study (prnewswire.com)
- Electric Cars Among Dirtiest Transportation Options According to Comprehensive Study (sacbee.com)
- Lomborg: “Electric Cars Don’t Solve The Automobile’s Environmental Problems…Are More Polluting” (notrickszone.com)
If sustainability is your passion check out this event. I will be a panelist member.
“This event launches “Lighting Talks“, which is a new project organized by the Learning Commons and the Graduate Student Society aimed at the gathering of graduate students from a variety of disciplines to share their research and methodologies around a common theme.” The SFU Library Research Commons
Yesterday I received the new PCBs for Fritzing for a RS-485 Shield that will work withe Arduino Due and Maple. This shield has headers to either plug in and XBee module or Electric Imp breakout board for wireless communications. I have tested the Rs-485 communications and all is working well. Next, I will test XBee and Imp communications. Here are some pictures:
- Arduino RS485 Shield Schematic (eco-sustain.org)
Last week I learnt that that my full co-authored (with co-author Fred Popowich, Lyn Bartram, Bob Gill, and Ivan Bajic) paper “AMPds: A Public Dataset for Load Disaggregation and Eco-Feedback Research” was accepted at IEEE‘s Annual Electrical Power and Energy Conference (EPEC 2013). So I will be travelling to Halifax, Nova Scotia in the Canada. Here is the paper abstract:
A home-based intelligent energy conservation system needs to know what appliances (or loads) are being used in the home and when they are being used in order to provide intelligent feedback or to make intelligent decisions. This analysis task is known as load disaggregation or non-intrusive load monitoring (NILM). The datasets used for NILM research generally contain real power readings, with the data often being too coarse for more sophisticated analysis algorithms, and often covering too short a time period. We present the Almanac of Minutely Power dataset (AMPds) for load disaggregation research; it contains one year of data that includes 11 measurements at one minute intervals for 21 sub-meters. AMPds also includes natural gas and water consumption data. Finally, we use AMPds to present findings from our own load disaggregation algorithm to show that current, rather than real power, is a more effective measure for NILM.
Keywords: Power Meter, Current, Dataset, Load Disaggregation, Eco-Feedback, Single-Measurement, Maximum a Posteriori (MAP), Energy Conservation
The dataset (and paper) can be found at http://ampds.org.
I just learnt that that my full co-authored (with co-author Fred Popowich, TaeJin Moon, and Bob Gill) paper “Inspiring Energy Conservation Through Open Source Power Monitoring and In-Home Display” was accepted at the IEEE Power and Energy Society General Meeting. It will be held in Vancouver so I will not need to travel! Here is the paper abstract:
Many homeowners and occupants are interested in energy conservation for economical and/or ecological reasons. A number of commercial energy conservation solutions exist on the market today. However, these products contain closed systems and do not provide easy access to much of the raw data needed for more sophisticated analysis. An open source solution would be a great benefit for homeowners and occupants, allowing access to (and custom analysis of) raw power readings. We present a complete open source solution that monitors power, stores raw power readings, and makes provision for an in-home display, that informs stakeholders about energy consumption through a real-time ambient feedback effectively becoming an eco-feedback device.
Keywords: Power Monitoring, In-Home Display, Residential, Open Source, Arduino, RS-485, Modbus, Electric Imp, Energy Conservation
Apparently there were over 1,600 submission and they will be accepting only between 60-80 papers. Those are some odds!
- The Cognitive Power Meter: Looking Beyond the Smart Meter (eco-sustain.org)
“Only 8% of the IEEE’s approximately 419,900 members hold this grade, which requires extensive experience, and reflects professional maturity and documented achievements of significance” (Peter W. Staecker, IEEE President & CEO)
A very BIG thanks to all those who supported me and provided references for my application!
As well, I am currently volunteering as the Membership Development Chair for the IEEE Vancouver Section. If you would like to join the IEEE you can sign up here. For those in the Vancouver area, I have four $25-off coupons that any person can use when signing up for a traditional IEEE Membership which I can give out.
Last week I learnt that that my full co-authored (with co-author Fred Popowich and Bob Gill) paper “The Cognitive Power Meter: Looking Beyond the Smart Meter” was accepted at IEEE‘s 2013 Canadian Conference on Electrical and Computer Engineering (CCECE’13). So I will be travelling to Regina, Saskatchewan in the Canada. Here is the paper abstract:
The smart meter is often heralded as the key component supporting energy displays that can notify home occupants of their energy usage. But, a smart meter is only a digital power meter with enhanced communications capabilities — it is not actually smart. We need to look beyond the smart meter and define what intelligence is needed to actually make a meter smart. One area with promise is load disaggregation. Load disaggregation can be used to determine what loads contributing to the consumption reading at the smart meter. A smart meter incorporating load disaggregation intelligence can be seen as going beyond the traditional smart meter — what we call a cognitive power meter (c-meter). However, using load disaggregation, in its current form, is not feasible. We critically review the requirements for a c-meter and provide insights as to how load disaggregation research needs to change to make the c-meters a reality.
Keywords: Power Meter, Smart Meter, Load Disaggregation, Cognitive Analysis, Demand Response, Energy Conservation
I will post a link to where you can download the paper soon…
- NDP pledges to seek alternatives for people who don’t want smart meter (timescolonist.com)
- Orlando Utilities Commission to install 223,000 smart meters (utilitiesretail.energy-business-review.com)
- Port Alberni marijuana activist says Smart Meters will affect licensed and illegal growers (timescolonist.com)
Today I took my oral thesis proposal exam and passed. The title was “THE COGNITIVE POWER METER”. Still no time to rest… I need to start work on my research…