Publications by Parag Rastogi | EPFL Graph Search

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

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 ...

2022

Planning for a Changing Climate without Accurate Predictions

Parag Rastogi, Mohammad Emtiyaz Khan

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 ...

Taylor & Francis Group2021

A digital workflow to quantify regenerative urban design in the context of a changing climate

Pietro Florio, Parag Rastogi, Emanuele Naboni

The regenerative approach to design goes beyond limiting the environmental impact of the built environment and towards the enrichment of the ecosystem, adaptation to climate change, and the improvement of human health. This concept is being applied to buil ...

2019

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

Marilyne Andersen, Emmanuel Rey, Giuseppe Peronato, Parag Rastogi

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 ...

2018

Gaussian-Process-Based Emulators for Building Performance Simulation

Marilyne Andersen, Parag Rastogi, Mohammad Emtiyaz Khan

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 ...

International Building Performance Simulation Association2017

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

Marilyne Andersen, Parag Rastogi

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 ...

IBPSA-USA, ASHRAE2016

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

Parag Rastogi

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 ...

EPFL2016

Embedding Stochasticity in Building Simulation Through Synthetic Weather Files

Marilyne Andersen, Parag Rastogi

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 ...

IBPSA2015

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

Marilyne Andersen, Giorgia Chinazzo, Parag Rastogi

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 ...

2015

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

Marilyne Andersen, Giorgia Chinazzo, Parag Rastogi

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 ...

2015