Calibration of envelope parameters using control-based heat balance identification and uncertainty analysis

Building recommissioning in essential in the aging building stock to maintain efficient and comfortable operation as equipment ages and portions of the build-ing are re-purposed for uses other than what was orig-inally intended. Model-based recommissioning pro-vides a way to evaluate payback and incentives for equipment replacement, and the response of the build-ing to optimized operational strategies - without dis-turbing the comfort or productivity of current occu-pants. Accurate models are needed for these investi-gations, which must be calibrated to available sensor data.

A Bayesian approach for predicting building cooling and heating consumption

This research proposes a Bayesian approach to include uncertainty that arises from modeling process and input values when predicting cooling and heating consumption in existing buildings. Our approach features Gaussian Process modeling. We present a case study of predicting energy use through a Gaussian Process and compare its accuracy with a Neural Network model. As an initial step of applying Gaussian Processes to uncertainty analysis of system operations, we evaluate the impact of uncertain air-handling unit (AHU) supply air temperature on energy consumption.

The cost of achieving thermal comfort via altering external walls specifications in Egypt; from construction to operation through different climate change scenarios

In Egypt, the current widely used external walls are preferred in practice to minimize the project's initial cost, regardless of the negative impacts of the thermal comfort on the inhabitants, as well as the impact on the running cost of the energy consumption later.  The objective of this research is to evaluate the effect of external walls with different specifications on the project’s initial cost and running cost for achieving internal thermal comfort in the present time and under climate change.

Co-simulation between Esp-r and TRNSYS: More highly resolved modelling of integrated building and energy systems

The analysis of innovative designs that tightly inte-grate architectural and energy systems presents a chal-lenge for existing building performance simulation (BPS) tools. No single BPS tool offers sufficient ca-pabilities and the flexibility to resolve all the possi-ble design variants of interest. The development of a co-simulation between the ESP-r and TRNSYS sim-ulation tools has been accomplished to address this need by enabling an integrated simulation approach that rigorously treats both building physics and energy systems.

Improving the interaction between net-ZEB and the grid using advanced control of heat pumps

Design principles in Net-ZEB consider the local en-ergy infrastructure as the virtual storage. Thus a large amount of energy exchange occurs with the grid and these buildings rely heavily on the grid to reach an-nual zero balance. Wide-spread application of such buildings could soon saturate the grid hosting capacity and limits their effectiveness on larger scale. In order to design buildings that effectively interact with the grid, well-designed energy solutions are paramount.

Assessing the relevance of reduced order models for building envelope

The paper focuses on parameter estimation processes for physically meaningful models tuned online and de-fine a process to determine whether a model is rele-vant or not for GMBA-BEMS tuning purpose. The proposed approach relies on the data coming from the PREDIS/MHI platform. The first step is to cal-culate realistic parameters with possible intervals be-cause nonlinear optimization, required for physically explicit models, implies initial parameters.

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