MHI, NEC Collaborate for Energy Demand Forecast

MarineLink.com
Monday, November 11, 2013

"Energy Demand Forecast System for Ships," Enabling Energy Savings During Operations at Sea Based on Precise Projections.

Mitsubishi Heavy Industries, Ltd. (MHI) and NEC Corporation will collaborate in the development of an "Energy Demand Forecast System for Ships" applying NEC's big data analysis technologies to achieve energy savings during ship navigation. Plans call for MHI to begin marketing the system by the end of the 2014 fiscal year ending March 2015.

The Energy Demand Forecast System for Ships is to be jointly developed integrating MHI and NEC's respective technologies and knowhow. The new system will project future energy demand based on previously collected data relating to ships' energy consumption, weather patterns, ambient air temperature, time of day, etc. Its forecasting technology will use NEC's "heterogeneous mixture learning technologies," which automatically detect massive patterns hidden in big data. Use of the system will enable control of the operating ratios of a ship's engine and power generators, as well as the number of units to be in operation, based on highly precise energy demand forecasts. The end result will be the achievement of energy savings during ship navigation, contributing to lower operating costs and reductions in environmental burdens.

MHI plans to propose the Energy Demand Forecast System for Ships, along with its independently developed "Mitsubishi Air Lubrication System" (MALS) and other advanced environmental technologies, for application in new ship constructions and in existing vessels undergoing upgrading, aiming for orders expansion in both areas.

NEC intends to apply its energy demand forecast system employing heterogeneous mixture learning technologies to the company's "Building Energy Management System" (BEMS), etc. By continuously strengthening its analysis technologies and solutions related to big data, the company looks to contribute to new value creation for the customer.

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