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Nahid Mohajeri Pour Rayeni

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Related publications (34)

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Machine learning and geographic information systems for large-scale wind energy potential estimation in rural areas

Jean-Louis Scartezzini, Dasaraden Mauree, Nahid Mohajeri Pour Rayeni, Dan Assouline

Clean, safe, affordable and available in the long-term, wind is one of the most promising sources of renewable energy. Its optimized and profitable use, however, requires an estimation of the potential in locations of interest, given its very volatile beha ...

IOP2019

A critical comparison of methods to estimate solar rooftop photovoltaic potential in Switzerland

Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni, Alina Ursula Rosa Walch

To understand the opportunities and challenges of large shares of solar photovoltaics (PV) in our electricity mix, various large-scale studies of PV potential on building roofs have been conducted in recent years. The use of different datasets, methods and ...

2019

Neighbourhood morphology and solar irradiance in relation to urban climate

Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni, Dan Assouline, Govinda Upadhyay

Assessing the relationship between neighbourhood morphology and urban climate is becoming increasingly important as cities continue to grow and the climate continues to change. Here we focus on the impact of (1) shapes and sizes of buildings, (2) street la ...

2015

Residential density classification for sustainable housing development using a machine learning approach

Nahid Mohajeri Pour Rayeni, Dan Assouline, Alina Ursula Rosa Walch

Using Machine Learning (ML) algorithms for classification of the existing residential neighbourhoods and their spatial characteristics (e.g. density) so as to provide plausible scenarios for designing future sustainable housing is a novel application. Here ...

IOP PUBLISHING LTD2021

Effects of urban compactness on solar energy potential

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Nahid Mohajeri Pour Rayeni, Dan Assouline, Govinda Upadhyay

Compactness is a major urban form parameter that affects the accessibility of solar energy in the built environment. Here we explore the relation between various compactness indicators and solar potential in the 16 neighbourhoods (11,418 buildings) constit ...

Pergamon-Elsevier Science Ltd2016

Quantitative analysis of structural changes during rapid urban growth

Nahid Mohajeri Pour Rayeni

New quantitative measures of urban structural changes are introduced and applied to the fast-growing city of Kerman, Iran. The results of 20,802 street measurements show that the main street orientations are orthogonal, both in the old inner part and in th ...

American Society of Civil Engineers2015

Quantifying rooftop photovoltaic solar energy potential: A machine learning approach

Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni, Dan Assouline

The need for reduction in CO2 emissions to mitigate global warming has resulted in increasing use of renewable energy sources. In urban areas, solar photovoltaic (PV) deployment on existing rooftops is one of the most viable sustainable energy resources. T ...

Pergamon-Elsevier Science Ltd2017

3D Model for Solar Energy Potential on Buildings from Urban LiDAR Data

Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni

One of the most promising sustainable energy that can be considered in urban environment is solar energy. A 3D model for solar energy potential on building envelope based on urban LiDAR data was developed in this study. The developed algorithm can be used ...

The Eurographics Association 20162016

Expansion and densification of cities: linking urban form to urban ecology

Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni

Despite much research on the ecological impacts of urbanization, we still do not know what development patterns are most effective in supporting ecological function. In particular, it is as yet unclear if compact urban forms are ecologically more favourabl ...

2015

Quantifying the technical geothermal potential from shallow borehole heat exchangers at regional scale

Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni, Alina Ursula Rosa Walch

The extraction of shallow geothermal energy using borehole heat exchangers (BHEs) is a promising approach for decarbonisation of the heating sector. However, a dense deployment of BHEs may lead to thermal interference between neighboring boreholes and ther ...

Pergamon-Elsevier Science Ltd2020

Effects of city size on the large-scale decentralised solar energy potential

Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni, Dan Assouline

To assess the PV-potential on rooftops for decentralized electricity supply in Switzerland, the potential is compared with the following urban-size parameters: (a) urban population, (b) number of buildings, (c) the cumulative building ground-floor area, an ...

Elsevier2017

Spatio-temporal modelling and uncertainty estimation of hourly global solar irradiance using Extreme Learning Machines

Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni, Roberto Castello, Alina Ursula Rosa Walch, Fabian Guignard

2019

Entropy and order in urban street networks

Nahid Mohajeri Pour Rayeni

Many complex networks erase parts of their geometry as they develop, so that their evolution is difficult to quantify and trace. Here we introduce entropy measures for quantifying the complexity of street orientations and length variations within planar ne ...

Nature Publishing Group2013

Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests

Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni, Dan Assouline

2018