Publications by Parag Rastogi | EPFL Graph Search

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Building simulation requires a large number of uncertain inputs and parameters. These include quantities that may be known with reasonable confidence, like the thermal properties of materials and building dimensions, but also inputs whose correct values ca ...

Many municipalities and public authorities have supported the creation of solar cadastres to map the solar energy-generation potential of existing buildings. Despite advancements in modelling solar potential, most of these tools provide simple evaluations ...

Urban morphology, including building typology and layout, has a significant influence on the built environment’s access to the sun, which impacts its energy exchange with the environment. This energy exchange is a strong factor in determining the comfort l ...

Building Performance Simulation (BPS), a useful tool to assess the operational performance of buildings and systems, can often be computationally expensive. The use of BPS is cumbersome for problems where the speed of response is important, e.g. real-time ...

Simulating a building to predict its performance over the course of a full year requires an accurate representation of the stable and representative weather patterns of a location, i.e. a weather file. While weather file providers give due consideration to ...

In this paper we present a novel emulator of a building simulator for the simulation-assisted design of high performance buildings. Our emulator is based on Gaussian-Process (GP) regression models. Such non-linear models are better suited than linear model ...

This paper proposes randomly-generated synthetic time series incorporating climate change forecasts to quantify the variation in energy simulation due to weather inputs, i.e., Monte Carlo analysis for uncertainty and sensitivity quantification. The method ...

Simulation is an informative tool to plan the design and renovation of engineering systems, but its use requires accurate inputs from the users. Inputs such as the unknown future operating conditions might be expected in a system’s lifetime, e.g., the futu ...

Substantial numbers of existing and new buildings are expected to survive long enough to experience perceptible shifts in climate ‘normals’ (averages). To predict a building's response to changes in typical weather, two inputs are required: weather data re ...

Conventionally, building energy performance is evaluated through energy simulations using a single input weather file referring to present weather conditions. However, the analysis shown in this study demonstrates the high sensitivity of calculated energy ...

This paper describes a new methodology to assess the robustness of building performance in the long term with a probabilistic approach. The aim is to include uncertainties related to climate change predictions as well as the intrinsic uncertainties in weat ...

This paper presents an attempt to create synthetic weather data for stochastic building simulation. The synthetic data are created entirely from the freely available Typical Meteorological Year (TMY) weather files using time series models and resampling. T ...

Parag Rastogi

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On the sensitivity of buildings to climate : the interaction of weather and building envelopes in determining future building energy consumption

A toolkit for multi-scale mapping of the solar energy-generation potential of buildings in urban environments under uncertainty

The sensitivity of predicted energy use to urban geometrical factors in various climates

Evaluating the suitability of regression-based emulators of building performance in practice: a test suite

Generation of Weather Files Using Resampling Techniques: An Exploratory Study

Gaussian-Process-Based Emulators for Building Performance Simulation

Incorporating Climate Change Predictions in the Analysis of Weather-based Uncertainty

Planning for a Changing Climate without Accurate Predictions

Toward Assessing the Sensitivity of Buildings to Changes in Climate

Assessing robustness regarding weather uncertainties for energy-efficiency-driven building refurbishments

Robustness Assessment Methodology for the Evaluation of Building Performance with a view to Climate Uncertainties

Embedding Stochasticity in Building Simulation Through Synthetic Weather Files