Decision support for energy trading and supply/demand regulation

• Title: Decision support for energy trading and supply/demand regulation
• Description: This use case describe how to carry out (i) prediction of future electrical energy consumption and supply (ii) optimization of available resources such that operational costs and/or CO2 emissions can be minimized subject to the balancing of supply with demand
• Data Domain(s): Building data, energy, Geolocation and weather, Building control, Devices, communication
• Objectives:

1. To predict future electrical energy consumption and supply
2. To minimize operational costs
3. To minimize CO2 emissions.

• Stakeholders: Energy provider/ energy service company
• Requirements:
• LD benefits:

1. Reasoning for energy prediction
2. Data integration
3. Vocabularies

• Challenges:
• Data is Processed during BLC Stage: Operation
• Uses Data Generated During BLC Stage: Operation
• Data Standards Used: IEC 62056, IEEE 802.1 AS/QAT/QAV/BA
• Associated Projects: IDEAS Project D3.2, ORIGIN Project
• External source(s):
• Use Case Description in BIM*Q Tool:
• Wiki contributors: Hendro Wicaksono (KIT-IMI)