Facility energy demand curve optimization based on available price tariff (dynamic energy market participation)

From Linked Building Data Community Group
  • Title: Facility energy demand curve optimization based on available price tariff (dynamic energy market participation)
  • Description: This use case describes the situation where the energy consumption (demand curve) of an entire facility can be optimized based on available price tariff information received from a utility, energy service company or third-party actor.
  • Data Domain(s): Building Control, Energy
  • Objectives: Automatic energy curve optimization
  • Stakeholders: Automation Server/Control System
  • Requirements:
  1. A bidirectional communication with a utility or third party is available (or simulates). Utility or third-party provides price tariff information (e.g. in an hourly rate).
  2. There are Distributed Energy Resources (DER) or Renewable Energy Systems (RES) available on a facility.
  • LD benefits: Structured vocabularies allow data integration that further enable the active participation in the energy market, either by selling energy to the grip, or adjusting its energy demand according to price tariff received from utility or third party.
  • Challenges: No optimization of the system is possible due to a special event/context in the facility. This can imply for example that the facility is consuming energy during a high price tariff period.
  • Data is Processed during BLC Stage: Operation
  • Uses Data Generated During BLC Stage: Planning and Design, Operation, Retrofitting/Refurbishment/Reconfiguration
  • Data Standards Used: oBIX, KNX, Modbus
  • Associated Projects: BEAMS project
  • Use Case Description in BIM*Q Tool: BIM*Q Use Case
  • External source(s): BEAMS Deliverable
  • Wiki contributors: Nick Kaklanis (CERTH)