Difference between revisions of "Optimizing Device Operation with a Local Electricity Price"
From energypedia
***** (***** | *****) |
***** (***** | *****) |
||
| Line 21: | Line 21: | ||
|- | |- | ||
| 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> | | 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|border|right| | + | | [[File:File|border|right|180px|Optimizing Device Operation with a Local Electricity Price|alt=File:Experience from First Solar Mini Grid Service in Bangladesh.pdf]] |
|} | |} | ||
| Line 33: | Line 33: | ||
[[Category:Conference_Documentation]] | [[Category:Conference_Documentation]] | ||
| + | [[Category:Off-grid]] | ||
| + | [[Category:Electricity]] | ||
| + | [[Category:Nano-grid]] | ||
Revision as of 15:31, 23 April 2014
 |
 |
 |
 |
Optimizing Device Operation with a Local Electricity Price
Presenter: Bruce Nordmann, Lawrence Berkley National Laboratory
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.[1] |
References
- ↑ Bruce Nordman and Mattia Bugossi. Optimizing Device Operation with a Local Electricity Price
