DocumentCode :
135185
Title :
A novel online energy management solution for energy plants
Author :
Almassalkhi, Mads ; Simon, Bjorn ; Gupta, Archie
Author_Institution :
Root3 Technologies Inc., Chicago, Illinois, USA
fYear :
2014
fDate :
11-14 March 2014
Firstpage :
1
Lastpage :
7
Abstract :
Energy plants represent large energy consumers with a wide array of energy needs, assets (e.g. boilers, chillers, storage, on-site generation), and constraints on operations. An innovative energy management system for energy plants is presented in this paper. Through predictive optimization of plant assets, energy analytics, pricing signals, and historical and real-time data, the online energy management system supplies energy plants with salient hourly, real-time recommendations and enables “what-if” analysis to achieve improved economic efficiency. Within a systems context, the paper draws upon ideas from power systems and highlights technical issues related to plant optimization. The paper also describes actual implementations of the energy management solution at two energy plants in the US, providing economic details and an analysis of the savings achieved.
Keywords :
Distributed power generation; Generators; Planning; Reactive power; Sensitivity analysis; Voltage control; HVAC; cogeneration; economic efficiency; energy analytics; energy plant; multi-energy system; predictive optimization; tariffs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference (PSC), 2014 Clemson University
Conference_Location :
Clemson, SC
Type :
conf
DOI :
10.1109/PSC.2014.6808098
Filename :
6808098
Link To Document :
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