DocumentCode :
251890
Title :
Energy Cloud: Real-Time Cloud-Native Energy Management System to Monitor and Analyze Energy Consumption in Multiple Industrial Sites
Author :
Sequeira, Hugo ; Carreira, Paulo ; Goldschmidt, Thomas ; Vorst, Philipp
Author_Institution :
INESC-ID Lisboa, Lisbon, Portugal
fYear :
2014
fDate :
8-11 Dec. 2014
Firstpage :
529
Lastpage :
534
Abstract :
Industrial organizations use Energy Management Systems (EMS) to monitor, control, and optimize their energy consumption. Industrial EMS are complex and expensive systems due to the unique requirements of performance, reliability, and interoperability. Moreover, industry is facing challenges with current EMS implementations such as cross-site monitoring of energy consumption and CO2 emissions, integration between energy and production data, and meaningful energy efficiency benchmarking. Additionally, big data has emerged because of recent advances in field instrumentation that led to the generation of large quantities of machine data, with much more detail and higher sampling rates. This created a challenge for real-time analytics. In order to address all these needs and challenges, we propose a cloud-native industrial EMS solution with cloud computing capabilities. Through this innovative approach we expect to generate useful knowledge in a shorter time period, enabling organizations to react quicker to changes of events and detect hidden patterns that compromise efficiency.
Keywords :
Big Data; cloud computing; energy consumption; energy management systems; open systems; organisational aspects; reliability; Big Data; EMS; cloud computing; energy cloud; energy consumption; industrial organizations; interoperability; multiple industrial sites; real-time cloud-native energy management system; reliability; Cloud computing; Energy consumption; Energy management; Industries; Monitoring; Production; Real-time systems; Energy efficiency; big data; cloud computing; energy management systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Utility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/UCC.2014.79
Filename :
7027546
Link To Document :
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