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Opengrid wish list
OpengridCC was created as a communitiy-driven portal around "smart grids" and "analysis of utility metering" to improve energy awareness and efficiency. In this broad scope, several subgoals can be defined, based on the available data streams (Automatic meter readings, AMR). More detailed subtopics are envisioned and will be implemented gradually.
What: Making sure that high resolution sensor data is available to the community is a prerequisite for all further steps. Also, potential privacy concerns will be taken into account.
How: The Opengrid repository will contain scripts to simplify data collection and preprocessing and offer several standardized data storage structures for this data.
What: Analysis of consumption data and summarizing the data in various graphs. Identify potential anomalies, priorities and performance versus the past (baseline) and other residential users (benchmark).
How: Transforming the available sensory data, and offer them to the community into a plethora of visual formats and Key Performance Indices (KPIs)
What: Insight in correlations between utility usage and the time of day, ambient conditions, frequency, etc can help to support investment decisions to reduce energy and water consumption or improve thermal comfort. Also, this analysis can be a stepstone to (manual or automatic) event labeling, fault detection and warning implementations.
How:Typical behaviour of the utility profiles can be modeled (approximately), by fitting (low-order) models on historic data. A typical example is a heat signature of the building, where the correlation between gas usage and ambient temperature is defined.
What: The primary goal of generating insight in utility usage, is to monitor the process and (if needed) to modify the current state of the process.
How: This can be either done manually (by giving visual feedback to the user), or could -in some cases- be implemented as a closed loop control system.
What: By setting up this community, it may be easier to implement and support new sensors, sensory data and technologies into the platform, thereby reducing the treshhold for implementation and uptake into promising applications.
How: By evolving along with the ever-changing environments , as any living organism. :-)