Optimizing Device Operation with a Local Electricity Price - Revision history

Admin at 11:15, 19 January 2016

2016-01-19T11:15:33Z

Ranisha at 07:04, 21 May 2014

2014-05-21T07:04:24Z

Fungai Cecilia Sandamu at 09:47, 6 May 2014

2014-05-06T09:47:24Z

Fungai Cecilia Sandamu at 09:46, 6 May 2014

2014-05-06T09:46:04Z

Fungai Cecilia Sandamu at 09:10, 6 May 2014

2014-05-06T09:10:49Z

Ranisha at 08:32, 5 May 2014

2014-05-05T08:32:26Z

Ranisha at 09:27, 2 May 2014

2014-05-02T09:27:27Z

Ranisha at 09:13, 2 May 2014

2014-05-02T09:13:10Z

Ranisha at 09:12, 2 May 2014

2014-05-02T09:12:39Z

Fungai Cecilia Sandamu at 19:43, 30 April 2014

2014-04-30T19:43:13Z

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 [[File:MES Berkley small.png|center|800px|Innovating Energy Access for Remote Areas: Discovering Untapped Resources|alt=Innovating Energy Access for Remote Areas: Discovering Untapped Resources|link=Innovating Energy Access for Remote Areas: Discovering Untapped Resources]]
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 __NOTITLE__
 [[Category:Conference_Documentation]]

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 = Optimizing Device Operation with a Local Electricity Price =
-Presenter: '''Bruce Nordmann,''' (Lawrence Berkeley National Laboratory, United States of America)
+Presenter: '''Bruce Nordman,''' (Lawrence Berkeley National Laboratory, United States of America)
 <br/>
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 __NOTITLE__
 [[Category:Nano-grid]]

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 [[File:MES Berkley small.png|center|800px|Innovating Energy Access for Remote Areas: Discovering Untapped Resources|alt=Innovating Energy Access for Remote Areas: Discovering Untapped Resources|link=Innovating Energy Access for Remote Areas: Discovering Untapped Resources]]
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 Presenter: '''Bruce Nordmann,''' (Lawrence Berkeley National Laboratory, United States of America)
 = Overview =
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 = References<br/> =
-<references /><br/>
+<references /><br/>__NOEDITSECTION__
-__NOEDITSECTION__ __NOTOC__ __NOTITLE__
+__NOTOC__
 [[Category:Conference_Documentation]]

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 <references /><br/>
-__NOEDITSECTION__
+[[Category:Conference_Documentation]]
+[[Category:Off-grid]]
 [[Category:Nano-grid]]

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 [[File:MES Berkley small.png|center|800px|Innovating Energy Access for Remote Areas: Discovering Untapped Resources|alt=Innovating Energy Access for Remote Areas: Discovering Untapped Resources|link=Innovating Energy Access for Remote Areas: Discovering Untapped Resources]]
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 = Optimizing Device Operation with a Local Electricity Price =
-Presenter: '''Bruce Nordmann,''' (Lawrence Berkley National Laboratory, United States of America)
+Presenter: '''Bruce Nordmann,''' (Lawrence Berkeley National Laboratory, United States of America)
 = Overview =
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 {| border="0" cellspacing="3" cellpadding="5" style="width: 800px;"
 |-
-| Making optimal use of available electric power is important for efficiency, fuctionality and to reduce capital costs, partilraly in developing countires. The presentation shows the results from simulating the behaviour of rgefrigerators and freezers that vary theri opertaion accoridng to a loacal price and price forecast. The price is set to the availability of local photovoltaic power and is used to adjust the temperature setpoints of the devices. For off-grid systems, this can be used tp concentrate consumption during times of PV availability, to increase efficiency and to reduce battery size. The simulations presented show a reduction of up to 26% of the nergy used by the devices at night.<ref>Optimizing Device Operation with a Local Electricity Price. Bruce Nordman and Mattia Bugossi.</ref>
+| Making optimal use of available electric power is important for efficiency, functionality and to reduce capital costs, particularly in developing countries. The presentation shows the results from simulating the behavior of refrigerators and freezers that vary their operation according to a local price and price forecast. The price is set to the availability of local photovoltaic power and is used to adjust the temperature set-points of the devices. For off-grid systems, this can be used to concentrate consumption during times of PV availability, to increase efficiency and to reduce battery size. The simulations presented show a reduction of up to 26% of the energy used by the devices at night.<ref>Optimizing Device Operation with a Local Electricity Price. Bruce Nordman and Mattia Bugossi.</ref>
 | [[File:Optimizing Device Operation with a Local Electricity Price.pdf|250px|Optimizing Device Operation with a Local Electricity Price.pdf|alt=File:Optimizing Device Operation with a Local Electricity Price.pdf]]<br/>
 |}
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 __NOEDITSECTION__
 [[Category:Conference_Documentation]]

← Older revision		Revision as of 08:32, 5 May 2014
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		+	[[Category:Conference_Documentation]]
		+	[[Category:Off-grid]]
		+	[[Category:Electricity]]
	[[Category:Nano-grid]]		[[Category:Nano-grid]]
−	~~[[Category:Electricity]]~~
−	~~[[Category:Off-grid]]~~
−	~~[[Category:Conference_Documentation]]~~

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 |-
 | Making optimal use of available electric power is important for efficiency, fuctionality and to reduce capital costs, partilraly in developing countires. The presentation shows the results from simulating the behaviour of rgefrigerators and freezers that vary theri opertaion accoridng to a loacal price and price forecast. The price is set to the availability of local photovoltaic power and is used to adjust the temperature setpoints of the devices. For off-grid systems, this can be used tp concentrate consumption during times of PV availability, to increase efficiency and to reduce battery size. The simulations presented show a reduction of up to 26% of the nergy used by the devices at night.<ref>Bruce Nordman and Mattia Bugossi. Optimizing Device Operation with a Local Electricity Price</ref>
-| [[File:File:Scale vs. Substance? Lessons from a Context-responsive Approach to Market-based Stove Development in Western Kenya.pdf|border|right|250px|Scale vs. Substance? Lessons from a Context-responsive Approach to Market-based Stove Development in Western Kenya.pdf|alt=File:Experience from First Solar Mini Grid Service in Bangladesh.pdf]]
+| [[File:Optimizing Device Operation with a Local Electricity Price.pdf|250px|Optimizing Device Operation with a Local Electricity Price.pdf|alt=File:Optimizing Device Operation with a Local Electricity Price.pdf]]<br/>
 |}