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Energy Management in Industrial Plants
Department of Civil Engineering, Computing, Construction, Environmental and Applied Mathematics (DICIEAMA), University of Messina, C.da of God (St. Agatha), 98166 Messina (ME), Italy
* Author to whom correspondence should be addressed.
Received: 1 June 2012; in revised form: 8 August 2012 / Accepted: 5 September 2012 / Published: 13 September 2012
Abstract: The Smart Grid vision imposes a new approach towards energy supply that is more affordable, reliable and sustainable. The core of this new vision is the use of advanced technology to monitor power system dynamics in real time and identify system in stability. In order to implement strategic vision for energy management, it is possible to identify three main areas of investigation such as smart generation, smart grid and smart customer. Focusing on the latter topic, in this paper we present an application specifically designed to monitor an industrial site with particular attention to power consumption. This solution is a real time analysis tool, able to produce useful results to have a strategic approach in the energy market and to provide statistic analysis useful for the future choices of the industrial company. The application is based on a three layers architecture. The technological layer uses a Wireless Sensor Network (WSN) to acquire data from the electrical substations. The middleware layer faces the integration problems by processing the raw data. The application layer manages the data acquired from the sensors. This WSN based architecture represents an interesting example of a low cost and non-invasive monitoring application to keep the energy consumption of an industrial site under control. Some of the added value features of the proposed solution are the routing network protocol, selected in order to have an high availability of the WSN, and the use of the WhereX middleware, able to easily implement integration among the different architectural parts.
Keywords: sensor networks; routing protocols; middleware; monitoring tool
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Cite This Article
MDPI and ACS Style
Bruneo, D.; Cucinotta, A.; Minnolo, A.L.; Puliafito, A.; Scarpa, M. Energy Management in Industrial Plants. Computers 2012, 1, 24-40.
Bruneo D, Cucinotta A, Minnolo AL, Puliafito A, Scarpa M. Energy Management in Industrial Plants. Computers. 2012; 1(1):24-40.
Bruneo, Dario; Cucinotta, Angelo; Minnolo, Antonino Longo; Puliafito, Antonio; Scarpa, Marco. 2012. "Energy Management in Industrial Plants." Computers 1, no. 1: 24-40.