Representation of daily profiles of building energy flexibility

The representation of simulation results with regards to building energy flexibility is investigated. The chosen case study is a residential flat located in Spain, equipped with an air-to-water heat pump. From a reference simulation scenario, active demand response (ADR) events are implemented; they consist in modulating the heating set-point for a few hours. If the starting time of the ADR event is varied in time, the resulting simulations enable to produce daily profiles quantifying the different aspects of energy flexibility. Different representations of these profiles are proposed and discussed, combining the flexibility capacity and efficiency profiles, or representing different ADR configurations in a single graph. A high dependency of the flexibility profiles was observed with regards to the existing consumption profile and temperature setbacks. An ADR event of 2 hours with set-point modulation of ±1°C provides a maximum flexibility capacity of 9.4kWh upwards and -8.6kWh downwards.

[1]  D. Six,et al.  EXPLORING THE FLEXIBILITY POTENTIAL OF RESIDENTIAL HEAT PUMPS COMBINED WITH THERMAL ENERGY STORAGE FOR SMART GRIDS , 2011 .

[2]  Manfred Morari,et al.  Towards a standardized building assessment for demand response , 2013, 52nd IEEE Conference on Decision and Control.

[3]  Jaume Salom,et al.  Analysis of load match and grid interaction indicators in net zero energy buildings with simulated and monitored data , 2014 .

[4]  Jaume Salom,et al.  Stochastic model for electrical loads in Mediterranean residential buildings: Validation and applications , 2014 .

[5]  Jan-Olof Dalenbäck,et al.  Potential of residential buildings as thermal energy storage in district heating systems – Results from a pilot test , 2015 .

[6]  Lieve Helsen,et al.  Quantification of flexibility in buildings by cost curves – Methodology and application , 2016 .

[7]  Per Heiselberg,et al.  Energy flexibility of residential buildings using short term heat storage in the thermal mass , 2016 .

[8]  Un Desa Transforming our world : The 2030 Agenda for Sustainable Development , 2016 .

[9]  Anna Joanna Marszal,et al.  IEA EBC Annex 67 Energy Flexible Buildings , 2017 .

[10]  Jaume Salom,et al.  Comfort and economic criteria for selecting passive measures for the energy refurbishment of residential buildings in Catalonia , 2016 .

[11]  Jaume Salom,et al.  Impact of Demand-Side Management on Thermal Comfort and Energy Costs in a Residential nZEB , 2017 .

[12]  Paul Beagon,et al.  Control Strategies for Building Energy Systems to Unlock Demand Side Flexibility – A Review , 2017, Building Simulation Conference Proceedings.

[13]  Jakob Stoustrup,et al.  Simple flexibility factor to facilitate the design of energy-flex-buildings , 2017 .

[14]  Dirk Saelens,et al.  Generic characterization method for energy flexibility: Applied to structural thermal storage in residential buildings , 2017 .