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POSCO ICT, Steps forward to Provide Energy Efficiency Services for the Tenant Companies of Industrial ComplexesPOSCO ICT improves power generation plant efficiency by grafting Big Data
2015.09.08
- Provides an optimized operation guide for power generation plant with ICT technology grafted
- Predicts the future through data analysis beyond simply monitoring
POSCO ICT (President & CEO: Choi, Doo Whan) plans to push through with a new business in order to provide a solution designed to maximize the operation efficiency of power generation plant by grafting IoT to Big Data.
POSCO ICT announced a plan to move forward with a business jointly with a plant software company. This plan was intended to support the maximization of operation efficiency of power generation plants by analyzing the information collected from major facilities of power plants such as LNG power plant, coal power plant, new renewable fuel cell, etc., with Big Data.
On September 8, POSCO ICT signed an MOU for the mutual development of technology with BNF Technology at its Pangyo Office in Gyeonggi-do; both companies agreed to make efforts to develop jointly a solution applicable to power plants both in Korea and other countries. BNF Technology is a company specialized in supporting the monitoring of operation condition of major facilities of power plants.
They plan to provide optimized operation guide to customers through big data solution that collects and stores enormous amounts of data — such as operation condition, generation performance, output, risk factors, etc., coming from various sensors installed in power plants — and analyzes the gathered data in real time.
Especially, the operation patterns of equipment of power plants are self-learned; thus enabling immediately informing operators if operation is out of the range of standard. This way, operators can quickly check and identify a problem, and errors that can occur in the sites can be prevented in advance.
Most of the systems that monitor and manage the operation condition of existing power plants were developed by foreign companies, and the solution to be developed jointly by both companies is expected to replace the imported systems in use.
In terms of cost in particular, the jointly developed solution will be at least 30% lower than the imported systems with respect to the cost of system establishment and maintenance, according to the companies.
“The cooperation of both companies will result in mutual development through the prediction of and preparation for the future on the basis of analysis with Big Data, instead of simply continuing to monitor the operation with no output. We are planning to expand further the application of the solution to a wide variety of plants of other industrial sites, in addition to the power generation plant,” said Managing Director Lee Sang-dae of POSCO ICT.