An integrated Building-to-Grid model for evaluation of energy arbitrage value of Thermal Storage

Evaluation of flexibility impacts of thermal electric storage using an integrated building-to-grid model

“…Space heating requirements for different residential archetypes are modelled using calibrated thermal network (RC-equivalent) state space models as discussed in detail in the authors' previous work [10]. The resulting state vector x j n = T j n,w1 T j n,w2i T j n,r T j n,int T j n,hall models the temperature evolution for different nodes of the RC model for each archetype.…”

“…Building Performance Simulations (BPS) of these archetypes are then modeled by integrating high space and time resolution operational data. Subsequently, activity specific DHW volume draw profiles are obtained using the bottom-up approach developed by Neu et al [10], [11], which is based on the application of Markov Chain Monte Carlo techniques to TUS data [12].…”

“…The third archetype is representative of recent constructions which feature energy efficiency measures. The thermal modelling assumptions, number of midflats and characteristics of the TES devices are detailed in [10]. Additionally, different penetration levels of TES devices in comparison to Direct Resistive Heaters (DRH) are studied.…”

“…The authors compare the integrated model with the simplified models to highlight the superiority of integrated modeling in terms of in terms of representing the impacts of load shifting on the consumers and also on the supply mix and electricity prices. Similarly, authors in [10] evaluate the energy arbitrage capability of smart TES devices by integrating building thermal models for different residential archetypes in a power systems economic dispatch model. However, these integrated models only consider the energy arbitrage potential of flexible thermal demand without considering simultaneous participation in ancillary service provision.…”

A study of operation strategy of small scale heat storage devices in residential distribution feeders

“…Initially, detailed building energy archetype models of semi-detached houses and mid-floor flats, developed in the EnergyPlus simulation environment, were used to generate synthetic data [19]. Then, a calibration algorithm was used to calibrate the RC thermal network parameters [20] of the electric-analogue building archetype models; this yields a linear approximation of the thermal dynamics of the buildings [21] …”