Difference between revisions of "Optimizing Device Operation with a Local Electricity Price"

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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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| style="width: 175px; text-align: center; vertical-align: middle; background-color: rgb(139, 45, 45);" | [[File:MES Programe Icon.png|center|100px|Programme|alt=Participants Presentations|link=Innovating Energy Access for Remote Areas: Discovering Untapped Resources - Programme]]
 
| style="width: 175px; text-align: center; vertical-align: middle; background-color: rgb(139, 45, 45);" | [[File:MES Programe Icon.png|center|100px|Programme|alt=Participants Presentations|link=Innovating Energy Access for Remote Areas: Discovering Untapped Resources - Programme]]
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= Optimizing Device Operation with a Local Electricity Price =
 
= Optimizing Device Operation with a Local Electricity Price =
  
*Presenter: '''Bruce Nordmann, Lawrence Berkley National Laboratory'''<br/>
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Presenter: '''Bruce Nordman,''' (Lawrence Berkeley National Laboratory, United States of America)
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= Overview =
 
= Overview =
  
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>
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| 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>
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Latest revision as of 11:15, 19 January 2016

Innovating Energy Access for Remote Areas: Discovering Untapped Resources
About the International DAAD-Alumni Summer School, Sustainable Provision of Rural RE
Programme
Participants Presentations
Speaker Presentations


Optimizing Device Operation with a Local Electricity Price

Presenter: Bruce Nordman, (Lawrence Berkeley National Laboratory, United States of America)


Overview

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.[1] File:Optimizing Device Operation with a Local Electricity Price.pdf


References

  1. Optimizing Device Operation with a Local Electricity Price. Bruce Nordman and Mattia Bugossi.