ADREAM: Energy Consumption Optimisation through Dynamic Energetic Simulations for an Intelligent Management of Energy

Abstract

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Energy Consumption Optimization through Dynamic Simulations for an Intelligent Energy Management of a BIPV Building

“…Figure 2 shows the interconnection of the various energy systems installed in the building. The specific details of the ADREAM Energy Network, the Database Supervision and Control System are given in Papas et al [14].…”

“…The interest for this type of modeling stems from the motivation to simulate with high precision the particular architecture of ADREAM's structure, along with its thermal properties and the technical characteristics of the systems installed for the purpose of optimizing its thermal and electrical energy consumption. The complete procedure of this modeling algorithm and method is described in Papas et al [14]. Figure 3 shows the 3D Model of the ADREAM Building in the software interface.…”

“…The P+C model was calibrated after a series of validated estimations and hypotheses, which were based on in situ measurements, sensor data, and information extracted from a survey to the ADREAM's occupants. Table 1 shows the evolution of the statistical indicators (NMBE (Normalized Mean Bias Error) and CVRMSE (Coefficient of Variation of Root Mean Square Error)) from the initial to the final simulation, while Figure 4 illustrates the fit between measured data (T REAL) and simulated data (T INITIAL SIMULATION) and (T FINAL SIMULATION) for the evolution of the interior temperature of an office [14]. The final step for carrying out a complete simulation including the building's thermal behavior analysis, as well as its electrical consumptions, involved the entry of all the HVAC systems' parameters.…”

“…That is, in order to launch a complete simulation the required information concerned all the technical parameters of: a) the three heat pumps, b) the central AHU and the five individual AHU's, c) the ceiling fan coils, and d) the radiators. As shown by Papas et al [14], several strategies for reducing the energy consumption of ADREAM were evaluated with the potential of reducing the total electrical energy consumption by 20%. Most notably, after the validation of the complete model, performing a parametric variation on the functioning parameters of the building's water distribution system produced very promising results for the total electrical consumption.…”

Adaptable equivalent circuit model for electrochemical storage elements as a part of energy system modeling for ZEB

“…The building ADREAM of LAAS-CNRS was designed as a BIPV research platform for the development of ZEB metrics. While other studies treat of energy production models or heat exchange models [9,10], this paper focuses on a simple modeling methodology usable for multiple electrochemical storage technologies that can be used in the context of ZEB. The objective of this work is to develop models of storage elements with few parameters and a reduced number of experimental tests in order to rapidly characterize new technologies and future evolutions.…”