Difference between revisions of "Optimizing Device Operation with a Local Electricity Price"
From energypedia
***** (***** | *****) m |
***** (***** | *****) m |
||
Line 1: | Line 1: | ||
− | + | [[File:MES Berkley Small.png|center|180px|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]] | |
− | [[File:MES Berkley | ||
{| border="0" cellspacing="3" cellpadding="0" align="center" style="font-size: 14px; width: 805px;" | {| border="0" cellspacing="3" cellpadding="0" align="center" style="font-size: 14px; width: 805px;" |
Revision as of 13:03, 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