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Smart Power Meters allow home owners and students to visualize electric power utilization. Some are used at the outside electric meter. Others can be used inside with each appliance.The processing.org tool is used to animate images in java. This allows users to animate power flows within the home.
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Building Smart Meter Home Models
Smart Power Meters allow home owners to visualize electric power utilization.
Some are used at the outside electric meter. Others can be used inside with each appliance.
The processing.org tool is used to animate images in java. This allows users to animate power flows within the home.
Software used to create model:
Example home plan:
Files used in model: (Sample house floor plan image)
1. Snapshot with PrintScrn key and edit in MS Paint software
2. Save as JPEG file. ()
3. Save file in processing Sketch folder
4. Change processing code
Example - files=”ranch_home_plan2 “
PDE file: (Actual code used by processing)
Students can make a paper version with a floor plan and ruler.
Building Energy Relationship Visual Tool – Simple Energy Modeling Tool The original software model shows phone tree relationships in processing. Download original model, Relationship Visualizer, processing code here. Steps to modify model: Students need to create an excel spreadsheet. The software can display the relationships using the excel spreadsheet. Students can first enter phone numbers and watch a relationship diagram form. Students then could build home energy model using a watt meter to collect information and plugging it into spreadsheet. The columns below can be used to collect data. ENERGY APPLIANCE KWH Software used to create model: Processing tutorials: Scott Murray – Programmer Ben Fry – Processing Developer
Building Energy Relationship Visual Tool – Simple Energy Modeling Tool
The original software model shows phone tree relationships in processing.
Download original model, Relationship Visualizer, processing code here.
Steps to modify model:
Students need to create an excel spreadsheet.
The software can display the relationships using the excel spreadsheet.
Students can first enter phone numbers and watch a relationship diagram form.
Students then could build home energy model using a watt meter to collect information and plugging it into spreadsheet. The columns below can be used to collect data.
ENERGY APPLIANCE KWH
Software used to create model:
Scott Murray – Programmer
Ben Fry – Processing Developer
Students create a spreadsheet using excel. The Building energy relationship visualizer allows students to import the spreadsheet into an interactive graphic model for students. See attached file Building energy relationship visualizer.doc.
Students then can build a graphic model of their school or home using the data in the spreadsheet. See attached files Building Home Smart Meter Models, Building School Smart Meter Models.
I used this curriculum with Santa Fe Community College STEM class to model energy in a home and school. I also included simple models of (SW US, Europe, China, India, Brazil). The models could be integrated into a science curriculum. My son finished a computer modeling program at Santa Fe Institute. He was instrumental in developing the cartoons and processing models below.
The Home and School Smart power meter simulation allows students to measure power use in appliances via a watt meter. Students can collect data in a spreadsheet and use the attached Build energy relationship visualizer to see power fluctuations and changes in the model. A farm model could also be created using the software. I will send source code upon request , see attached files.
Students can model their school and home energy use and make decisions about how to control electricity use. Students may want to modify the files my son and I created to display their home and school power usage simulations. We created the software for STEM (Sci. Tech. Eng. and Math) middle school program in Santa Fe, NM. We are using animated simulations to teach power grid economics and problems with electric power. Kids can take the code and customize it for their region. How will electric cars effect the peak load period? Will wind and solar really meet peak demand? Right of way issues in power grids. A grid needs to be built to move new power. Problems?
Students can visualize power grid issues (Examples: Wind farms fail at night and during peak summer load. ENRON gaming 2001 CA grid.)
Cartoon of World Power Grids and Electric Cars:
Overview of world electric power grids: Europe, China, India, Brazil, and US power girds. The electric power grid uses fossil fuels to convert heat to electricity that is used in air conditioners during peak power periods. Electric cars will now compete for electricity during peak summer months. This causes global warming through spiralling demand for electricity. Air conditioners are installed in 90% of new homes in US. AC use is now spiralling worldwide. Electric cars may soon use more electricity than air conditioners. Create a Polywell fusion reactor at electric substations to decentralize the power grid. Stop global warming and go plugin.
I worked on EMS/SCADA for PNM/FPL wind farm and Southwest power grid. Here is an example of software students can build to simulate a simple EMS/SCADA. Students should first learn how to use processing.org and the public-domain GPS maps. See attached Building Power Grid Models (SW US, Europe, China, India, Brazil). They then can build a custom EMS/SCADA model of a local power grids in processing. The Power Grid simulations are created using processing,
Ben Fry developed at MIT. I have created many of the World Power Grid maps and a simple EMS/SCADA simulation of each power grid in Java or as MS exe. Processing makes this easy for students. Students create a spreadsheet using excel. The Building energy relationship visualizer allows students to import the spreadsheet into an interactive graphic model for students. See attached file Building energy relationship visualizer.doc. Students then can build a graphic model of their school or home using the data in the spreadsheet. See attached files Building Home Smart Meter Models, Building School Smart Meter Models. If you are interested in more information, let me know. Students can now manage simulations of world power grids and local power grids as well as their home and school power use models. Energy Management System/Supervisory Control and Data Acquisition (EMS/SCADA) systems manage power grids. Students could buy and sell power and compete on a simulated power grid they can reconfigure to match changing conditions. Students could take the software and customize it for their region.
I worked in Power Grid management at SW/US utility. I worked on problems related to the FPL/PNM wind farm using computers to model wind farm electric generation. Students may want to use computers to model power grids and wind farms in their area. Los Alamos engineers are building a Polywell fusion reactor for use at substations. This could decentralize power grids worldwide.
The Polywell fusion simulation allows students to control the reactor. Santa Fe will be a good model for the world in the future as spiralling temperatures need to be met by spiralling use of Air Conditoning/electricity.
Please let me know if I can help further. Article on decentralized grid: Flexible/Local Power Grid http://www.eetimes.com/news/latest/showArticle.jhtml;jsessionid=YNYRBPMG5ICLSQSNDLSCKHA?articleID=211200662 Students might enjoy using Poywell cartoon to learn about the Boron based reactor.
The US Navy is funding research into building fusion reactor to replace nuclear reactors in the Navy. The research is occuring in Santa Fe, NM. Could Obama administration accelerate research for civilian electric power generation?
http://iecfusiontech.blogspot.com/2008/10/new-iec-fusion-experiment-contract.html Rural Electrification and power grid models - Farming goes electric Power grid network models were originally developed on the first analog computers at MIT. Rural electrification required complex transmission systems and the first computers in the US were used to model power grids for rural electrification. A new generation of power grids must now be designed to allow a decentralized power grid to evolve.
http://www.metaphorik.de/12/tympasdalouka.pdf Wind farms in rural areas will be an important source of rural electric power. Wind electric power is a very difficult system to model. Students must create a renewable power grid model that can balance power from wind, solar, natrual gas, etc. to create a green rural electric grid. Wind power is strong in spring and fall but can fail during peak summer load periods. How will rural power grids distribute a fluctuating generation source? How will electric power be available when the wind is not blowing? Can a farm time power utilization to power production? Modeling wind power is done routinely in Europe.
Most wind in Europe is coastal. American wind farms will be different. Modeling wind flow will allow for efficient wind turbine placement and can improve wind farm efficiency. Sandtables and computers are being used to model wind driven wildfire. Students can study the the dynamics of wind on a wind sandtable. Terrain can be projected on to the sandtable for students to try different scenarios. Monte de Sol students in Santa Fe modeled Santa Fe Ski Basin on a sandtable. Terrain for wind turbines can be displayed on the sand and students can build wind farm models using a sandtable approach.
http://www.vimeo.com/2519544 Pajarito Mountain faces an uncertain future due to global warming.
The recent fires and pinon forest extinction around White Rock, Santa Fe and Bandelier are signs that night time temperatures are warming.
Bark beetles are controlled by sub zero temperatures which occur at night.
Their uncontrolled growth kills forests in the US West and Alaska and is directly related to lack of cold nights.
The choice to place snow making on the mountain is also a response to the melting of snow and the fluctuation in snow levels. Local students could learn from the Pajarito ski area the cost of global warming. Is Pajarito the Canary killed by the coal mine? If a model of the problems at Pajarito could be created on a computer then students could simulate the potential for all ski areas to suffer. Mammoth mountain has started to educate skiers.
Pajarito Mountain may want Los Alamos students to model wind driven wildfire. Could snow making equipment be used to defend the ski area from wildfire? How much water could be redirected into fire fighting? How much snow sublimation will occur on ski slopes? How much snow melt water will be returned to the water table? Will snow making be economic if night time temperatures continue to climb? Students can study the the dynamics of wind on a wind sandtable model of Pajarito. Terrain can be projected on to the sandtable for students to try different scenarios. Monte de Sol students in Santa Fe modeled Santa Fe Ski Basin on a sandtable. Could Pajarito generate interest by having local students create an energy model of the ski area? Map water utilization of snow making?
Science fair students might be interested. Last year a Los Alamos student created a snowmaking machine.
AP Physics students may want to read the attached power_grid_essentials_books.txt file for online introductory chapters on power grids. Wind Power Challenges in the US CO, NM, OK, SD, ND, KS, NE, WY, MT all have excellent wind farm prospects. http://www.windpoweringamerica.gov/wind_maps.asp Unfortunately transmission and load balancing will be difficult. Balancing the gyrations in summer wind production with peak demand caused by escalating air conditioning will make this especially difficult. By using natural gas turbines to balance the wind farm failures peak load periods may be addressed.
The variation of wind speed with time of day is called the diurnal cycle. Near the earth's surface, winds are usually greater during the day and decrease at night. This is due to solar heating, which causes bubbles of warm air to rise. The rising air is replaced by the cooler air from above. This thermal mixing causes wind speeds to have only a slight increase with height for the first hundred meters or so above the earth. At night, however, the mixing stops, the air near the earth slows to a stop, and the winds above some height (30 to 100 Meters) actually increase over the daytime value. A turbine on a short tower will produce a greater proportion of its energy during daylight hours, while a turbine on a very tall tower will produce a greater proportion at night. Wind speeds also vary strongly with time of year. In the southern Great Plains(Kansas, Oklahoma, and Texas), the winds are strongest in the spring (March and April) and weakest in Summer (July and August). Utilities here are summer peaking, and hence need the most power when winds are the lowest and the least power when winds are highest. The diurnal variation of wind power is thus a fairly good match to utility needs, while the yearly variation is not. Using natural gas peaker plants (natural gas turbines) can allow most of the electric power to come from wind while balancing off production periods with gas. Future improvements in solar may provide a cost effective alternative. Wind Power Grids - Tres Amigas superconducting wind hub
See attached (Building Power Grid Models Tres Amigas.doc) Electric Car Batteries Fail - Why?
http://chargecar.org Politics and Power Grids. ENRON/CA 2001:
Let me know if you need more info.