Publications related to Detecting solar rooftop photovoltaic panels in aerial images using neural networks: a transfer learning approach

Intrinsic performance loss rate: Decoupling reversible and irreversible losses for an improved assessment of photovoltaic system performance

Christophe Ballif, Alessandro Francesco Aldo Virtuani, Hugo James André Quest

Solar electricity is set to play a pivotal role in future energy systems. In view of a market that may soon reach the terawatt (TW) scale, a careful assessment of the performance of photovoltaic (PV) systems becomes critical. Research on PV fault detection ...

Wiley2024

The carbon intensity of integrated photovoltaics

Christophe Ballif, Alessandro Francesco Aldo Virtuani, Alejandro Borja Block

To assess the meaningfulness of installing solar photovoltaics in buildings and infrastructures, we consider a carbon intensity (CI) balance perspective and assess whether installing PV at different orientations acts as a net CO2 sink or source, when compa ...

2023

What is the net PV energy production in Switzerland and how can we maximize it?

Gloria Serra Coch, Pablo Francisco Martinez Alcaraz

Maximizing solar energy production in Switzerland is key to meet energy transition goals. Understanding in detail the current situation, and the potential for expansion is important to develop effective strategies. With this study, we want to contribute to ...

2023

Large-scale evaluation of the suitability of buildings for photovoltaic integration: Case study in Greater Geneva

Roberto Castello, Gilles Desthieux

In the context of a rapid and massive deployment or renewable energy and in particular solar photovoltaic, it is necessary to develop methods and tools to guide this deployment. To this end, this work proposes a multicriteria approach for evaluating the su ...

ELSEVIER SCI LTD2022

Grid-Aware Layout of Photovoltaic Panels in Sustainable Building Energy Systems

François Maréchal, Paul Michael Stadler, Francesco Baldi, Luise Middelhauve

In the context of increasing concern for anthropogenic CO2 emissions, the residential building sector still represents a major contributor to energy demand. The integration of renewable energy sources, and particularly of photovoltaic (PV) panels, is becom ...

2021

Parallel PV Configuration with Magnetic-Free Switched Capacitor Module-Level Converters for Partial Shading Conditions

Elison de Nazareth Matioli, Remco Franciscus Peter van Erp, Georgios Kampitsis

In this paper, a module-level photovoltaic (PV) architecture in parallel configuration is introduced for maximum power extraction, under partial shading (PS) conditions. For the first time, a non-regulated switched capacitor (SC) nX converter is a used at ...

2021

Quantification of existing rooftop PV hourly generation capacity and validation against measurement data

Roberto Castello, Jean-Louis Scartezzini, Alina Ursula Rosa Walch

The spatio-temporal patterns of the existing rooftop photovoltaic (PV) production can provide valuable insights for the design of effective strategies for PV integration at large scale. In this work, we quantify the hourly production of existing rooftop PV ...

IOP PUBLISHING LTD2021

Big data mining for the estimation of hourly rooftop photovoltaic potential and its uncertainty

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

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

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Detecting solar rooftop photovoltaic panels in aerial images using neural networks: a transfer learning approach

Network time series forecasting in photovoltaics power production

Reliability and Long-term Performance of Building Integrated Photovoltaic (BIPV) Modules

Intrinsic performance loss rate: Decoupling reversible and irreversible losses for an improved assessment of photovoltaic system performance

The carbon intensity of integrated photovoltaics

What is the net PV energy production in Switzerland and how can we maximize it?

Large-scale evaluation of the suitability of buildings for photovoltaic integration: Case study in Greater Geneva

Grid-Aware Layout of Photovoltaic Panels in Sustainable Building Energy Systems

Parallel PV Configuration with Magnetic-Free Switched Capacitor Module-Level Converters for Partial Shading Conditions

Quantification of existing rooftop PV hourly generation capacity and validation against measurement data

Big data mining for the estimation of hourly rooftop photovoltaic potential and its uncertainty

Graph Chatbot

Chat with Graph Search

Reliability and Long-term Performance of Building Integrated Photovoltaic (BIPV) Modules

The carbon intensity of integrated photovoltaics

Parallel PV Configuration with Magnetic-Free Switched Capacitor Module-Level Converters for Partial Shading Conditions

What is the net PV energy production in Switzerland and how can we maximize it?

Network time series forecasting in photovoltaics power production

Intrinsic performance loss rate: Decoupling reversible and irreversible losses for an improved assessment of photovoltaic system performance

Large-scale evaluation of the suitability of buildings for photovoltaic integration: Case study in Greater Geneva

Big data mining for the estimation of hourly rooftop photovoltaic potential and its uncertainty

Grid-Aware Layout of Photovoltaic Panels in Sustainable Building Energy Systems

Quantification of existing rooftop PV hourly generation capacity and validation against measurement data