Advanced Strategies for Energy Optimization
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- Description: In order to implement advanced control strategies, it is necessary to gather historical and updated data from the facility systems. This provides added value to strategic reports, eases energy optimizations according to the systems monitored trying to keep the energy requested to the lowest possible. This use case also deals with the adaptation to new situation or contexts within a facility by means of capturing the changes and the creation of new control schedule plans. This could involve some simulation of the new context and its deployment or validation of the new control schedule plans from the facility manager. Another situation handled by this use case is the adaptation of facility demand due to failures in supplies.
- Data Domain(s): Building Data, Building Control, Energy
- Objectives:
- To gather and update energy data
- To generate reports
- To generate "control schedule plans"
- To optimize facility energy consumption
- To simulate facility context
- To establish priorities
- To assess context/situation from an economical point of view or other metric of interest
- Stakeholders: facility manager, energy generating systems, energy consuming systems, end user (EV owner),
- Requirements: data availability in real time
- LD benefits:
- structured vocabularies allow data integration;
- logical basis allows inference.
- Challenges:
- handling real time data in a responsive manner
- Solution Occurs in BLC Stage: Operation
- Uses Data Generated During BLC Stage: Planning and Design, Operation
- Data Standards Used: SEMANCO Energy Model,
- Associated Projects: SEMANCO (Semantic Tools for Carbon Reduction in Urban Planning) provides access to widely dispersed energy related data about cities stored by many different organisations
- External source(s): OGEMA (Open Gateway Energy MAnagement) is an open software platform that supports standardized building automation and energy management
- Use Case Description in BIM*Q Tool: BIM*Q Use Case
- Wiki contributors: María Poveda-Villalón (UPM), Gonçal Costa (LaSalle)