Person
Parag Rastogi
This person is no longer with EPFL
Related publications (15)
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 Group2021A 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 ...
2019A toolkit for multi-scale mapping of the solar energy-generation potential of buildings in urban environments under uncertainty
Marilyne Andersen, 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 ...
2018Gaussian-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 Association2017Robustesse de l'évaluation du potentiel solaire de formes urbaines différenciées
Marilyne Andersen, Giuseppe Peronato, Parag Rastogi
Le potentiel solaire a une importance primordiale dans la performance énergétique des bâtiments, car le soleil est normalement la principale source d’énergie renouvelable à disposition en milieu urbain. Pourtant, le potentiel solaire n’a pas une définition ...
Presses Polytechniques et Universitaires Romandes (PPUR)2017On the sensitivity of buildings to climate
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 ...
EPFL2016Assessing the impact of contemporary urbanization on bioclimatic features of historic architecture through a two-step simulation process
Marilyne Andersen, Luisa Pastore, Siobhan Francois Rockcastle, Parag Rastogi, Hélène Yvette Claudine Monari, Guillaume Charles Johan Rouff soit Rueff
The aim of this paper is to provide a systematic understanding, through simulation-based assessment, of how contemporary urban planning affects the bioclimatic features of existing historic architecture. An emblematic early 20th century Brazilian building, ...
2016Examining Building Design Decisions Under Long Term Weather Variability and Microclimatic Effects: A case-based exploratory study
Marilyne Andersen, Luisa Pastore, Parag Rastogi, Margaux Marie Valérie Peltier, Minu Agarwal
Thermal building simulation currently uses Typical Meteorological Year (TMY) data to guide the design decision-making process or for compliance with energy standards. TMY data usually excludes extremes and in many cases are gathered from microclimatic cont ...
2016Incorporating 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, ASHRAE2016Embedding 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