Integrated Energy System Dispatch Optimization

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Description

On-site cogeneration of heat and electricity, thermal and electrical storage, and curtailing/rescheduling demand options are often cost-effective to commercial and industrial sites. This collection of equipment and responsive consumption can be viewed as an integrated energy system(IES). The IES can best meet the sites cost or environmental objectives when controlled in a coordinated manner. However, continuously determining this optimal IES dispatch is beyond the expectations for operators of smaller systems. A new algorithm is proposed in this paper to approximately solve the real-time dispatch optimization problem for a generic IES containing an on-site cogeneration system subject to random outages, limited ... continued below

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Firestone, Ryan; Stadler, Michael & Marnay, Chris June 16, 2006.

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Description

On-site cogeneration of heat and electricity, thermal and electrical storage, and curtailing/rescheduling demand options are often cost-effective to commercial and industrial sites. This collection of equipment and responsive consumption can be viewed as an integrated energy system(IES). The IES can best meet the sites cost or environmental objectives when controlled in a coordinated manner. However, continuously determining this optimal IES dispatch is beyond the expectations for operators of smaller systems. A new algorithm is proposed in this paper to approximately solve the real-time dispatch optimization problem for a generic IES containing an on-site cogeneration system subject to random outages, limited curtailment opportunities, an intermittent renewable electricity source, and thermal storage. An example demonstrates how this algorithm can be used in simulation to estimate the value of IES components.

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  • 4th International IEEE conference on IndustrialInformatics, Singapore, Myanmar, August 16-18,2006

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  • Report No.: LBNL--60591
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 888984
  • Archival Resource Key: ark:/67531/metadc885297

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  • June 16, 2006

Added to The UNT Digital Library

  • Sept. 21, 2016, 2:29 a.m.

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  • Sept. 29, 2016, 8:53 p.m.

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Firestone, Ryan; Stadler, Michael & Marnay, Chris. Integrated Energy System Dispatch Optimization, article, June 16, 2006; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc885297/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.