Jean-Louis Scartezzini

Directeur du Laboratoire d'Energie Solaire et de Physique du Bâtiment à l'EPFL (1994-présent); Fondateur & Directeur de l'Institut des Infrastructures, des Ressources et de l'Environnement à l'ENAC (2002-2009); Fondateur & Directeur du Programme Doctoral en Environnement de l'EPFL (2002-2009); Co-Directeur de l'Institut des Techniques du Bâtiment de l'EPFL (1994-1997); Professeur Associé de Physique du Bâtiment à l'EPFL (1994-1997); Professeur Associé de Physique du Bâtiment à l'Université de Genève (1990-1997); Chef de Groupe & Chercheur associé au Laboratoire d'Energie Solaire et de Physique du Bâtiment de l'EPFL (1981-1989); Chercheur associé au Groupe de Recherche en Energie Solaire de l'EPFL (1981-1989); Chercheur associé à l'Institut de Géophysique Appliquée de l'Université de Lausanne (1980-1981).

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Daylighting

Daylighting is the practice of placing windows, skylights, other openings, and reflective surfaces so that direct or indirect sunlight can provide effective internal lighting. Particular attention i

Énergie renouvelable

Les énergies renouvelables (parfois abrégées EnR) proviennent de sources d'énergie dont le renouvellement naturel est assez rapide pour qu'elles puissent être considérées comme inépuisables à l'éche

Panneau solaire

Le terme « panneau solaire » peut faire référence à plusieurs concepts liés à l'énergie solaire :

capteur solaire photovoltaïque : aussi appelé panneau solaire photovoltaïque, convertit le rayonnem

Optimized office lighting advances melatonin phase and peripheral heat loss prior bedtime

Marta Benedetti, Lenka Maierova, Mirjam Münch, Jean-Louis Scartezzini

Improving indoor lighting conditions at the workplace has the potential to support proper circadian entrainment of hormonal rhythms, sleep, and well-being. We tested the effects of optimized dynamic daylight and electric lighting on circadian phase of melatonin, cortisol and skin temperatures in office workers. We equipped one office room with an automated controller for blinds and electric lighting, optimized for dynamic lighting (= Test room), and a second room without any automated control (= Reference room). Young healthy participants (n = 34) spent five consecutive workdays in each room, where individual light exposure data, skin temperatures and saliva samples for melatonin and cortisol assessments were collected. Vertical illuminance in the Test room was 1177 ± 562 photopic lux (mean ± SD) , which was 320 lux higher than in the Reference room (p < 0.01). Melanopic equivalent daylight (D65) illuminance was 931 ± 484 melanopic lux in the Test room and 730 ± 390 melanopic lux in the Reference room (p < 0.01). Individual light exposures resulted in a 50 min earlier time of half-maximum accumulated illuminance in the Test than the Reference room (p < 0.05). The melatonin secretion onset and peripheral heat loss in the evening occurred significantly earlier with respect to habitual sleeptime in the Test compared to the Reference room (p < 0.05). Our findings suggest that optimized dynamic workplace lighting has the potential to promote earlier melatonin onset and peripheral heat loss prior bedtime, which may be beneficial for persons with a delayed circadian timing system.

2022

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Swiss Energy System 2050: Pathways to Net Zero CO2 and Security of Supply - Basic report

Andrea Baranzini, Oliver Kröcher, Jean-Louis Scartezzini

This report aims at assessing pathways and formulating recommendations for the transformation of the Swiss energy system necessary to achieve the net zero greenhouse gas (GHG) emission target by 2050 (BFE 2017a) set by the Federal Council taking into account the Paris climate agreement. We examine the role and impact of the national energy system, define the main future challenges and formulate a holistic strategy to address them. Boulouchos K, Neu U et al. (2022) Swiss Energy System 2050: Pathways to Net Zero CO2 and Security of Supply. Basic report. Swiss Academies Reports 17 (3)

Swiss Academies of Arts and Sciences 2022

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Dimensionality reduction and clustering of time series for anomaly detection in a supermarket heating system

Roberto Castello, Lorenzo Salmina, Jean-Louis Scartezzini

A timely identification of an anomalous functioning of the energy system of an industrial building would increase the efficiency and the resilience of the energy infrastructure, beside reducing the economic wastage. This work has been inspired by the need of identifying, for a series of supermarket buildings in Switzerland, the failures happening in their heating systems across the years in an unsupervised and easy-to-visualize fashion for the building managers. The lack of any a-priori label differentiating between typical and anomalous behaviors calls for the usage of unsupervised machine learning methods to extract the relevant features to describe the system operations, to reduce the dimension of the feature space, and to cluster together similar patterns of operations. The method is validated on a standard supermarket building, where it successfully discriminates winter and summer operations from periods of refurbishment or malfunctioning of the heating system.

IOP PUBLISHING LTD2021

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