In home electricity consumption monitoring with Kill-a-Watt

This project originally came for Ladyada’s Tweet-a-Watt project, and was adapted for the RasperryPi by Drew Fustini of Element14. It currently calculates the cost and KWatts/hour aggregates, as well as current Watt usage for each of the three data collection points. It then pushes that data to Xively’s data-viz website. I’ve added to the project by updating the code to: accommodate for Cosm’s change over to Xively,  include two more Kill-a-Watts, and scraping my local energy companies website for the current cost of electricity every five minutes.




Developing Intelligent and Adaptive Building Systems for a Digital Ecology


Our world is being changed by a dynamic digital presence. The marriage of virtual and physical represents an ecology which has become intertwined with the lives of nearly everyone, fundamentally altering how our society functions. While we have evolved in this sense, the built environment has become outmoded and strains to meet emerging occupant requirements. To correct this, it has become necessary to develop environments that are capable of intelligently responding to shifting requirements. As curators of the built environment, architects are responsible for seeking out and engaging new mechanisms to achieve spaces that occupants find desirable. An experiential summary of the architectural-digital-hacking process will be given. A more traditional research method was followed when possible while engaged in this learning process. This research focuses on utilizing readily available digital tools that are capable of simultaneously mitigating issues associated with occupant requirements and energy consumption. It will also address shortcomings related to occupant comfort and energy consumption observed in our buildings by producing a series of working prototypes that will be tested and analyzed. Results will be presented, and will consist of components used and how they were used to serve as a reference for future development.

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