2 research outputs found
Data-Driven Key Performance Indicators and Datasets for Building Energy Flexibility: A Review and Perspectives
Energy flexibility, through short-term demand-side management (DSM) and
energy storage technologies, is now seen as a major key to balancing the
fluctuating supply in different energy grids with the energy demand of
buildings. This is especially important when considering the intermittent
nature of ever-growing renewable energy production, as well as the increasing
dynamics of electricity demand in buildings. This paper provides a holistic
review of (1) data-driven energy flexibility key performance indicators (KPIs)
for buildings in the operational phase and (2) open datasets that can be used
for testing energy flexibility KPIs. The review identifies a total of 81
data-driven KPIs from 91 recent publications. These KPIs were categorized and
analyzed according to their type, complexity, scope, key stakeholders, data
requirement, baseline requirement, resolution, and popularity. Moreover, 330
building datasets were collected and evaluated. Of those, 16 were deemed
adequate to feature building performing demand response or building-to-grid
(B2G) services. The DSM strategy, building scope, grid type, control strategy,
needed data features, and usability of these selected 16 datasets were
analyzed. This review reveals future opportunities to address limitations in
the existing literature: (1) developing new data-driven methodologies to
specifically evaluate different energy flexibility strategies and B2G services
of existing buildings; (2) developing baseline-free KPIs that could be
calculated from easily accessible building sensors and meter data; (3) devoting
non-engineering efforts to promote building energy flexibility, such as
designing utility programs, standardizing energy flexibility quantification and
verification processes; and (4) curating datasets with proper description for
energy flexibility assessments.Comment: 30 pages, 14 figures, 4 table