Cloud Computing: How Big Data can help in meeting big energy needs
May 3, 2013
Grazed from UtilityProducts. Author: Editorial Staff.
The world’s demand for energy is insatiable whether it is solar, wind, tidal, oil and gas, thermal, hydro-electric, wood, nuclear energy. There are two types of energy – renewable and non-renewable. The non-renewable energy is scarce such as fossil fuels and nuclear material and is found in earth and there is a limited availability. This energy we use in our daily lives, whether in our automobiles or for generating electricity, which powers our home.
Renewable resources regenerate as we use them and include solar, wind, water, magnetic and bio-fuel created from farming. This is the future of energy for the planet and its inhabitants and is generally known as green energy. As the cost of energy increases and its availability decreases there is an extensive use of collating data in the discovery, extraction, processing and transmission and distribution of energy. The energy business is increasingly using Big Data and cloud computing to ensure efficiency and cost effective solutions. Let’s take a closer look at the role Big Data and cloud computing is playing in the energy sector…
Exploration:
We will begin with exploration – a geologist needs to identify the depth at which the non-renewable fuel can be found, the expected quantum that can be extracted and also the quality and yield. The geologist on the field collects data of a number of exploratory sites to create humongous quantum of data. This Big Data has then to be sieved and mapped into economics, local conditions and then a choice has to be made on which locations will be explored. This is an exacting and back breaking activity and on this rides millions of dollars of profit or loss of energy exploration companies. Big Data is able to handle discrete and non-discrete data and provide significant results in identifying potential sites for exploration…
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