Low-cost metering Sample Clauses

Low-cost metering. As mentioned above, a low-cost solution has been prepared for two metering systems; one for a classic Ferraris meter and one for the Flemish smart meter. Central to both of these solutions is a Raspberry Pi, which is low-cost mini-computer. In previous projects, the Raspberry Pi was coupled to the participants’ internet router either through WiFi or Ethernet cable. The experience of using the participants’ internet router has been troublesome:  It is less secure, especially with WiFi, because there is a connection to the participants’ internet which could become a security breach  Connection is lost if the participant changes their WiFi password or changes internet provider  WiFi connections are generally unreliable Therefore, the choice has been made for a solution with GPRS (3G) connectivity. In terms of cybersecurity this solution delivers more security. Although the GPRS network also has some down time, it is generally more reliable than a WiFi connection. Effect on forecast and DSM schemes Forecast of residential consumption is difficult due to the stochastic nature of the consumption. Individual homes require a lot of effort to forecast and, even then, have a large uncertainty. In the Oud-Heverlee Energy Community, energy will be forecasted for the community as a whole. Generally speaking, the larger the group of residential consumers the more accurate a load forecast is for the group as a whole. The number of participating houses (around 40) will deliver useful return on experience on the efficacy of forecasting for small groups of consumers DSM objectives: the following bullet points will elaborate on the relation between the data available (energy consumption every minute) to the effectiveness of DSM objectives. The effectiveness will be related to the each of the objectives of the DSM schemes. The main limiting factor for power quality objectives is the lack of voltage measurement. The effect for different DSM objectives  Self-consumption: the one-minute granularity of consumption data is enough to enable control to increase self-consumption in the neighbourhood. In the pilot, increasing the granularity of the data fed to the controller to 15 minutes will be investigated to see the effect on the controller.  Voltage regulation: Even though there is no voltage measurement, it will still be possible to estimate the level of the voltage in the grid with only consumption data. With historical data, it will be possible to estimate voltage for dif...