Integrated Energy System Dispatch Optimization [electronic resource]
Distributed Generation Integrated Energy System Dispatchoptimization.
Saved in:
| Online Access: |
Online Access |
|---|---|
| Corporate Author: | |
| Format: | Government Document Electronic eBook |
| Language: | English |
| Published: |
Berkeley, Calif. : Oak Ridge, Tenn. :
Lawrence Berkeley National Laboratory ; distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy,
2006.
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| Subjects: |
MARC
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| 245 | 0 | 0 | |a Integrated Energy System Dispatch Optimization |h [electronic resource] |
| 260 | |a Berkeley, Calif. : |b Lawrence Berkeley National Laboratory ; |a Oak Ridge, Tenn. : |b distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, |c 2006. | ||
| 336 | |a text |b txt |2 rdacontent. | ||
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| 500 | |a Published through the Information Bridge: DOE Scientific and Technical Information. | ||
| 500 | |a 06/16/2006. | ||
| 500 | |a "lbnl--60591" | ||
| 500 | |a ": TD5003340" | ||
| 500 | |a 4th International IEEE conference on IndustrialInformatics, Singapore, Myanmar, August 16-18,2006. | ||
| 500 | |a Marnay, Chris; Firestone, Ryan; Stadler, Michael. | ||
| 500 | |a USDOE. Office of Electricity Delivery and EnergyReliability. Distributed Energy Program. | ||
| 500 | |a California Energy Commission.Public Interest Research Program, California Public Utilities Commission.Division of Ratepayer Advocates. | ||
| 520 | 3 | |a 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. | |
| 520 | 0 | |a Distributed Generation Integrated Energy System Dispatchoptimization. | |
| 536 | |b DE-AC02-05CH11231. | ||
| 536 | |b 6793TD. | ||
| 650 | 7 | |a Storage. |2 local. | |
| 650 | 7 | |a Energy Systems. |2 local. | |
| 650 | 7 | |a Cogeneration. |2 local. | |
| 650 | 7 | |a Algorithms. |2 local. | |
| 650 | 7 | |a Optimization. |2 local. | |
| 650 | 7 | |a Electricity. |2 local. | |
| 650 | 7 | |a Simulation. |2 local. | |
| 650 | 7 | |a Heat Storage. |2 local. | |
| 650 | 7 | |a Energy Storage. |2 edbsc. | |
| 650 | 7 | |a Energy Conservation, Consumption, And Utilization. |2 edbsc. | |
| 650 | 7 | |a Energy Planning, Policy And Economy. |2 edbsc. | |
| 710 | 2 | |a Lawrence Berkeley National Laboratory. |4 res. | |
| 710 | 1 | |a United States. |b Department of Energy. |b Office of Scientific and Technical Information. |4 dst. | |
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