Person

Nahid Mohajeri Pour Rayeni

This person is no longer with EPFL

Related publications (37)

Using Machine Learning to estimate the technical potential of shallow ground-source heat pumps with thermal interference

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

The increasing use of ground-source heat pumps (GSHPs) for heating and cooling of buildings raises questions regarding the technical potential of GSHPs and their impact on the temperature in the shallow subsurface. In this paper, we develop a method using ...

IOP PUBLISHING LTD2021

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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

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The large-scale deployment of photovoltaics (PV) on building rooftops can play a significant role in the transition to a low-carbon energy system. To date, the lack of high-resolution building and environmental data and the large uncertainties related to e ...

2020

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Rooftop-mounted solar photovoltaics have shown to be a promising technology to provide clean electricity in urban areas. Several large-scale studies have thus been conducted in different countries and cities worldwide to estimate their PV potential for the ...

International Solar Energy Society ISES2020

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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 ...

2020

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The integration of renewable energy in the built environment, improving the energy efficiency of buildings, and optimizing distributed energy systems are three interconnected activities that are central for the transition to sustainable cities. Here, a met ...

PERGAMON-ELSEVIER SCIENCE LTD2019

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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

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Buildings commonly have the largest share in the energy demand of a country, but they also offer sites for the generation of solar energy. Here we develop a methodology to analyse the effects of street-canyon geometries on the solar access of street surfac ...

2019

Urban greening archetypes at the European scale

Jean-Louis Scartezzini, Dasaraden Mauree, Silvia Coccolo, Amarasinghage Tharindu Dasun Perera, Nahid Mohajeri Pour Rayeni, Cynthia Houmani, Ismaël Krafess

Urban greening has great ecological, social and economic benefits for the built environment. It also has significant impacts on the microclimate and urban energy balance. In this study, we quantify the impacts of urban greening on the ground surface temper ...

IOP Science2019

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

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

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

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