Energy

Efficient storage for Smart Grid

Smart Grid is an increasingly popular term that means the implementation of an intelligent management system for the distribution of electricity, gas, water, etc. The main objectives of the implementation of e.g. electrical distribution systems are an increaseing grid reliability, energy efficiency opportunities, a reduction of the impact of electricity infrastructure on the environment and the management of energy from distributed and renewable energy sources. From the distribution company's point of view, no less important will be areduction of the costs associated with the operation of the network and optimizing investment, and a better utilization of the network. One of the serious challenges is the management of measurement data. Any Smart meter unit, installed in a house, continuously logs energy consumption and reports this information to the distribution center. A typical company has hundreds thousands or even millions of unique customers (smart units) which might cause terabytes of data yearly. Moreover, the nature of measurement data, which comes at regular intervals, where information has a natural order in time and requires some unique analytical techniques and high workloads, means that traditional database systems have a number of downsides which emerge on a higher scale.
This specific data can called time-series data.


Solution

The most important question is how to effectively collect and analyze such an amount of specific time-series data. As an answer to this is the high performance, extremely scalable, fault tolerant, distributed post-relational database solution Apache Cassandra, which can handle the types of database management needs that traditional RDBMS vendors cannot support. Using Cassandra as a Big Data platform for storing, management and analysis of measurement data gives new possibilities for the Smart Grid network in energy sector, with competitive pricing.
Read use case example: NREL

Energy