Communication Infrastructure Enabling Participation of SOA Driven Manufacturing Enterprises in Demand Response Programs
Deivasigamani, Vivek (2018)
Deivasigamani, Vivek
2018
Automation Engineering
Teknisten tieteiden tiedekunta - Faculty of Engineering Sciences
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Hyväksymispäivämäärä
2018-12-05
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201811192617
https://urn.fi/URN:NBN:fi:tty-201811192617
Tiivistelmä
Energy is a necessary element for all industrial process and the demand for energy is inevitable. The difference between energy use and energy consumption focus the industrial users to decrease their baseline energy consumption based on their demand.
Demand Response program is one such technique which allows the industrial consumers to curtail the energy consumption from their normal energy usage. Therefore, explicating a communication infrastructure for demand response program will allow the manufacturing industries for seamless communication between the demand response program participants. This in turn helps the production planner to optimize their production plan accordingly, thereby reducing the total electricity cost for the manufacturing facilities and optimize their productivity.
At first, this paper describes the available Demand Response standards and harmonization between them. Secondly, a model for DR participants will be done followed by a layered approach for constructing the communication infrastructure. On the other hand, the information to be exchanged and protocols used for exchanging this information between the DR participants will be discussed. Finally, the developed communication infrastructure would be demonstrated in a conceptual platform.
Demand Response program is one such technique which allows the industrial consumers to curtail the energy consumption from their normal energy usage. Therefore, explicating a communication infrastructure for demand response program will allow the manufacturing industries for seamless communication between the demand response program participants. This in turn helps the production planner to optimize their production plan accordingly, thereby reducing the total electricity cost for the manufacturing facilities and optimize their productivity.
At first, this paper describes the available Demand Response standards and harmonization between them. Secondly, a model for DR participants will be done followed by a layered approach for constructing the communication infrastructure. On the other hand, the information to be exchanged and protocols used for exchanging this information between the DR participants will be discussed. Finally, the developed communication infrastructure would be demonstrated in a conceptual platform.