Publications associées à Solaire flottant

Distributional justice, effectiveness, and costs of current and alternative solar PV incentive schemes in Switzerland

Like many other countries, Switzerland offers various incentives to promote residential solar PV, but not all households have equal access to them. Using a microsimulation approach based on merged data from the Swiss Household Budget Survey and Household E ...

2024

Spatio-Temporal Estimation of Renewable Energy Potential in Built Environments using Big Data

Alina Ursula Rosa Walch

To achieve the goals of the Paris Agreement on climate change, governments around the world must shift to renewable energy (RE) to drastically reduce their CO2 emissions within the next 10-30 years. The development of effective strategies for RE integratio ...

EPFL2022

Floating PV in mountain artificial lakes: a checklist for site assessment

Annelen Kahl

Floating photovoltaics is a emerging approach to deploy photovoltaics on water bodies. Thanks to its high overall global potential and the extensive experience gained (with more than 2 GWp installed and than 510 plants, up to 2020), it represents a promisi ...

2021

Quantification of the suitable rooftop area for solar panel installation from overhead imagery using Convolutional Neural Networks

Roberto Castello, Jean-Louis Scartezzini, Alina Ursula Rosa Walch, Shasha Jiang, Riccardo Cadei

The integration of solar technology in the built environment is realized mainly through rooftop-installed panels. In this paper, we leverage state-of-the-art Machine Learning and computer vision techniques applied on overhead images to provide a geo-locali ...

IOP PUBLISHING LTD2021

Assessing the energy potential of modernizing the European hydropower fleet

Anton Schleiss, Elena Vagnoni

About 50% of all hydropower plants (HPPs) worldwide were originally commissioned more than 40 years ago, so that the advanced age of the fleet is a major concern across all continents, and especially in Europe. The modernization of HPPs can generate severa ...

Elsevier2021

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

Domestic hot water optimizing potential in existing or renovated multifamily residential buildings

Flourentzos Flourentzou, Joshua Pereira

In a Swiss case study of the ReCO2st research project, hot water optimization demonstrated a high potential for energy savings with low investment costs. The optimization started with the end user to reduce first hot water consumption. Energy-efficient sho ...

IOP PUBLISHING LTD2021

A plane linkage and its tessellation for deployable structure

Chen Yan, Huijuan Feng

Deployable structures are widely used in space applications such as solar arrays and antennas. Recently, inspired by origami, more deployable structures have been developed. This paper outlined a novel design scheme for deployable structures by taking a pl ...

PERGAMON-ELSEVIER SCIENCE LTD2019

Urban planning support based on the photovoltaic potential of buildings: a multi-scenario ranking system

Giuseppe Peronato

An increased use of renewable energy and of energy efficiency measures in buildings is needed to face the urgency of climate change. Buildings are in fact among the highest worldwide consumers of primary energy, mostly of fossil fuel origin, while still ma ...

EPFL2019

Deep learning in the built environment: automatic detection of rooftop solar panels using Convolutional Neural Networks

Roberto Castello, Jean-Louis Scartezzini, Adrian Guerra, Martin Esguerra

Mapping the location and size of solar installations in urban areas can be a valuable input for policymakers and for investing in distributed energy infrastructures. Machine Learning techniques, combined with satellite and aerial imagery, allow to overcome ...

IOP Science2019