Publications by Jérôme Henri Kämpf

Designing and assessing solar energy neighborhoods from visual impact

Jérôme Henri Kämpf, Giuseppe Peronato, Amarasinghage Tharindu Dasun Perera, Pietro Florio

The optimal diffusion of Building Integrated PhotoVoltaics (BIPV) in cities requires diligent planning to arrange temporal and spatial distribution of energy, while preserving the aesthetics of city landscapes. Benefitting from an increasing quality of 3D ...

2021

Parametric study of URBAN morphology on building solar energy potential in Singapore context

Jérôme Henri Kämpf

In 2014, the Singapore government announced plans to increase the adoption of solar power, including by integrating solar PV systems into the urban environment. Careful planning of a neighbourhood at early design stage, which determines the overall urban m ...

2020

Shading device

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu

A shading device (D.1, D.2) is configured to be integrated into a façade of a building, wherein the shading device (D.1, D.2) comprises an imaging system (3) configured to create images of an outside view of the building. ...

2020

Automated ‘Eye-sight’ Venetian blinds based on an embedded photometric device with real-time daylighting computing

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu

Optimal shading control can improve occupants’ visual comfort and increase energy savings on artificial lighting and cooling loads during warm seasons. A highly integrated automated shading system is presented in this paper. Designed to regulate daylightin ...

2019

A solar-based sustainable urban design: The effects of city-scale street-canyon geometry on solar access in Geneva, Switzerland

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

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

Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities

Jérôme Henri Kämpf

Buildings account for 35% of the global final energy demand. Efficiency improvements and advanced control strategies have a significant impact in the reduction of energy costs and CO2 emissions. Building energy simulation is widely used to help planners, c ...

2019

CO2 experimental measurements towards the development of a predictive framework using user actions in smart buildings

Jérôme Henri Kämpf, Antonio Figueiredo

A transition towards smart buildings is one of the challenges of the 21st century. To achieve this goal, the use of smart sensors and smart appliances can be crucial. Although research about linking real-time monitoring and the operation mode of building a ...

IOP Publishing Ltd2019

Understanding the performance gap: a machine learning approach on residential buildings in Turin, Italy

Jérôme Henri Kämpf, Roberto Boghetti

Buildings account for the highest share of primary energy usage and greenhouse gas emission in the E.U. and U.S. [1], and most of this energy is used for space and water heating. Being able to gain a broader understanding of the gap between predicted and i ...

IOP Publishing Ltd2019

A smart luminaire in an office environment: impact on light distribution, user interactions and comfort

Jérôme Henri Kämpf

A smart luminaire able to change the direction of its light beam is installed in an office environment and compared to the available LEDs fixtures. Standard lighting measures are performed and a controlled user experiment is conducted, involving 22 subject ...

IOP Publishing Ltd2019

Daylight regulated by automated external Venetian blinds based on HDR sky luminance mapping in winter

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu

Automated shading systems have the potential to exploit daylight in buildings to save energy of artificial lighting and cooling loads and improve occupants'f visual comfort. This paper investigates the daylighting performance of automated Venetian blinds b ...

2019

Multi-agent reinforcement learning for adaptive demand response in smart cities

Jérôme Henri Kämpf

Buildings account for over 70% of the electricity use in the US. As cities grow, high peaks of electricity consumption are becoming more frequent, which leads to higher prices for electricity. Demand response is the coordination of electrical loads such th ...

IOP Publishing Ltd2019

Split-pane electrochromic window control based on an embedded photometric device with real-time daylighting computing

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu

Well-designed electrochromic (EC) glazing control can improve the energy performance of buildings and visual comfort of occupants in highly glazed buildings. This paper designed and demonstrated a compact integrated EC glazing automation system to control ...

PERGAMON-ELSEVIER SCIENCE LTD2019

Design and Validation of a Compact Embedded Photometric Device for Real-time Daylighting Computing in Office Buildings

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu

Studies have shown that the exposure to daylight can have substantial visual/non-visual benefits for building occupants. To optimise daylighting provision while maintaining a comfortable visual environment, daylighting control systems have been investigate ...

2019

Daylighting simulation for external Venetian blinds based on HDR sky luminance monitoring with matrix algebraic approach

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu

An accurate daylighting simulation can potentially improve the quality of pre-planing buildings and regulating daylighting to achieve the goal of green buildings. However, standard sky models can hardly reproduce real skies in real-time for a specific loca ...

Elsevier2019

Performance assessment of the BTDF data compression based on wavelet transforms in daylighting simulation

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu

The bidirectional transmittance distribution function (BTDF), which is used to characterize the light transmission of a complex fenestration system (CFS), commonly involves bulky volume of data that can be a challenge to data storage and transmission in li ...

2019

Lighting simulation for External Venetian blinds based on BTDF and HDR sky luminance monitoring

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu

The precise daylighting simulation in buildings can potentially contribute to designers’ and occupants’ smart utilization of it. The traditional method of employing sky models was indicated with noticeable errors in transient lighting simulation for comple ...

2018

Sky Monitoring System

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu

In a sky monitoring system (S), comprising an image sensor (1), a wide angle lens (16), a microprocessor (3), and a memory unit (11, 18), wherein the sky monitoring system (S) is configured to take pictures of a sky scene, wherein the sky monitoring system ...

2018

Cooling potential of greening in the urban environment, a step further towards practice

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Silvia Coccolo, Dasaraden Mauree

In the present century, for the first time in history, the urban population overpassed the rural one. Cities are growing, and their impact on the world energy balance is significant. Consequently, a sustainable urban environment focusing on the reduction o ...

2018

Thermal Comfort Maps to estimate the impact of urban greening on the outdoor human comfort

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Silvia Coccolo

Outdoor human comfort is an important factor in the evaluation of the liveability of a city as well as for promoting people’s health and well-being. In hot arid climates in particular, urban planning and design can considerably impact the day-to-day therma ...

2018

Investigating the importance of future climate typology on estimating the energy performance of buildings in the EPFL campus

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Silvia Coccolo, Vahid Moussavi Nik

Climate changes induce warmer climate with stronger and more frequent extreme events. Due to the uncertain nature of climate, accurate simulation of future conditions is impossible and a major challenge is the selection of climate data in the impact assess ...

Elsevier2017