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)
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)
So I have finally had a chance to update the My Smart Home: Consumption Report to reflect readings from the new DENT PowerScout 18 meters and a new database design. Checkout:
- Branch Circuit Power Metering (eco-sustain.org)
Over the weekend I was busy replacing my 2 INO6200 meters with 2 DENT PowerScout 18 branch circuit power meters (BCPM). Instead on only monitoring 2 circuits (the main house and the heat pump), I can now monitor 24 different circuits!
I will post a link to a real-time consumption report soon. I am having issue with my ModbusTCP server and a lack of time to program the report.
Well I have been very busy with course work. I though I would post a quick update.
I have finally finished reorganizing my wiring cabinet and I now have it jam-packed with all sort of equipment. As seen on the right.
I also stated the Arduino Power Meter Reader (APMR) project page which I will slowly add information to in the coming weeks. I will also be posting the source code on GitHub in the next couple of days. This will be released as an open source project.
- Security system working with mControl via NPort (eco-sustain.org)
So here is a summary of the meters I have installed at my house.
Around the middle of 2009 I had 2 electrical meters installed at my home. Both where PowerLogic ION6200 meters. These meters are class 0.5 revenue meters so that means they are not cheap. One meter measures consumption of the main buswork coming into the house at 200A. The second meter measured consumption from the heat pump (40A). These meters communicate using the MODBUS protocol using a RS485 serial connection.
At the beginning of this year I installed 2 water meters and 2 natural gas meters. The meter installed on the water main coming into the house is a DLJ Contact Head meter from watermeters.com. I installed a second meter to measure hot water consumption, an Elster S130. One thing to note, both meters measure in US gallons consumed. This is too large of a measurement for my house (~2400 sq ft). I should have bought meters that measure in letres (1 US gallon = 3.785 litres).
For natural gas I have one meter measuring the main gas line coming into the house (Elster AC-250, measured in cubic-decimeters). I have the other meter measuring gas consumed by the forced air furnace (Elster BK-G4, measured in cubic-feet). Having these 2 meters measure in different units presents QA (quality assurance) challenge. I have to convert the units of measure from one of the meters so that both meters have the same units and the conversion function has to be correct, too.
The water and natural gas meters are pulse meters, meaning that an electronic pulse is send down a wire for every gallon that is consumed. This meant that I need to buy a data logger that can count and measure consumption rates. After much searching I decided to go with the Obvius AcquiLite to do this. I also use the AcquiLite to convert the units of measure from imperial to metric. Stay tuned, I will post more details (and pictures) on how I am collecting data from these meters…
I have created page that graphs out this consumption data on my research website called My Smart Home: Consumption Report. Check it out.