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Related publications (29)

In-Sensor Passive Speech Classification with Phononic Metamaterials

Luis Guillermo Villanueva Torrijo, Daniel Moreno Garcia

Mitigating the energy requirements of artificial intelligence requires novel physical substrates for computation. Phononic metamaterials have vanishingly low power dissipation and hence are a prime candidate for green, always-on computers. However, their u ...

Wiley-V C H Verlag Gmbh2024

Solar-assisted clean steam generator, a cleaner production approach for sustainable healthcare facilities

Fernando Porté Agel, Mohammad Jamshidmofid

Healthcare sector buildings, particularly hospitals, significantly contribute to global energy consumption and greenhouse gas emissions. Hospitals require a substantial amount of steam, including the essential hygienic or " clean steam, " that is currently ...

Elsevier Sci Ltd2024

A modelling framework for modern heritage buildings energy simulation

Franz Graf, Giulia Marino, Giuseppe Galbiati

The latest European polices highlight the urgent need to rehabilitate the existing building stock, responsible for 40 % of the EU's total energy consumption. In this process, a key role is played by thermal simulations, assessing the effective energy perfo ...

Elsevier2023

A systemic study for enhanced waste heat recovery and renewable energy integration towards decarbonizing the aluminium industry

François Maréchal, Daniel Alexander Florez Orrego

The aluminium remelting industry relies on natural gas to transform recycled aluminium into aluminium feedstock, entailing significant atmospheric emissions. Hydric resources are also affected as they are used as sinks of waste heat from the casting proces ...

2023

PePTM: An Efficient and Accurate Personalized P2P Learning Algorithm for Home Thermal Modeling

Rachid Guerraoui, Alexandre David Olivier Maurer

Nowadays, the integration of home automation systems with smart thermostats is a common trend, designed to enhance resident comfort and conserve energy. The introduction of smart thermostats that can run machine learning algorithms has opened the door for ...

MDPI2023

Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats

Rachid Guerraoui, Alexandre David Olivier Maurer

Smart thermostats are increasingly popular in homes and buildings as they improve occupant comfort, lower energy use in heating and cooling systems, and reduce utility bills by automatically adjusting room temperature according to measurements of their bui ...

ELSEVIER SCIENCE SA2023

Symbiotic nutrient cycling enables the long-term survival of Aiptasia in the absence of heterotrophic food sources

Anders Meibom, Nils Rädecker

Phototrophic Cnidaria are mixotrophic organisms that can complement their het- erotrophic diet with nutrients assimilated by their algal endosymbionts. Metabolic mod- els suggest that the translocation of photosynthates and their derivatives from the algae ...

2023

Bridging the gap from test rooms to field-tests for human indoor comfort studies: A critical review of the sustainability potential of living laboratories

Dusan Licina, Mengdi Kong

Occupants play a key role in determining final building energy consumption. Empirical evidence must support occupants' modelling. Experiments on human responses to Indoor Environmental Quality (IEQ) are usually performed in test rooms or as in-field monito ...

ELSEVIER2022

Solid-state synthesis of CdFe2O4 binary catalyst for potential application in renewable hydrogen fuel generation

Michael Graetzel, Shaik Mohammed Zakeeruddin

Clean energy is highly needed at this time when the energy requirements are rapidly increasing. The observed increasing energy requirement are largely due to continued industrialization and global population explosion. The current means of energy source is ...

Nature Portfolio2022

In-Memory Hardware and Architectural Extensions for Workloads Acceleration

William Andrew Simon

Utilization of edge devices has exploded in the last decade, with such use cases as wearable devices, autonomous driving, and smart homes. As their ubiquity grows, so do expectations of their capabilities. Simultaneously, their formfactor and use cases lim ...

EPFL2022

A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs

David Atienza Alonso, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Flavio Ponzina, Marco Antonio Rios

Inferences using Convolutional Neural Networks (CNNs) are resource and energy intensive. Therefore, their execution on highly constrained edge devices demands the careful co-optimization of algorithms and hardware. Addressing this challenge, in this paper ...

2021

On the Application of Small-Scale Turbines in Industrial Steam Networks

François Maréchal, Jürg Alexander Schiffmann, Ivan Daniel Kantor, Ansgar Weickgenannt

This study investigates the technical and economic feasibility of replacing throttling valves with smale-scale, oil-free turbomachinery in industrial steam networks. This is done from the perspective of the turbomachine, which has to be integrated into a n ...

2021

Enhancing Algae Biomass Production by Using Dye-Sensitized Solar Cells as Filters

Mohammad Khaja Nazeeruddin, Christian Ludwig, Shivom Sharma, Peng Qin, Eya Nicodeme

One of the most promising options for decreasing the costs of microalgae production is enhancing the production and reducing the energy demand of the culturing systems and the high surface area requirements. Because microalgae growth requires only specific ...

2021

Force and Shape Control Strategies for Minimum Energy Adaptive Structures

Gennaro Senatore, Arka Prabhata Reksowardojo

This work presents force and shape control strategies for adaptive structures subjected to quasi-static loading. The adaptive structures are designed using an integrated structure-control optimization method developed in previous work, which produces minim ...

2020

Benefits of a Diversified Energy Mix for Islanded Systems

Christophe Ballif, Nicolas Würsch, Laure-Emmanuelle Perret Aebi, Lionel Benjamin Bloch, Christian Rod, Marine Dominique Cauz

Achieving energy self-sufficiency is a major challenge for remote areas, especially islands. Various technologies have recently been developed to exploit renewable resources in such areas in order to reduce dependency on fossil fuels. This work focuses on ...

2020

Analysis and Visualisation of Decision Paths towards Reaching Environmental Impact Targets at Early-Design Stage

Sergi Aguacil Moreno, Thomas Bernard Paul Jusselme, Émilie Nault

Environmental impact objectives are commonly found in building performance labels and rating schemes. Anticipating a building’s impact from the conceptual design stage and identifying decisions that do not compromise its chances of reaching these targets i ...

Universidade da Coruña2020

Fifth generation district energy systems for low carbon cities

Raluca-Ancuta Suciu

The focus and challenge for energy engineering in the context of rapid climate change is summarised by the Europe 20-20-20 targets, committing to a reduction in energy consumption of 20%. The most logical approach to achieve these goals is to target the mo ...

EPFL2019

Renewable energy storage via CO2 and H-2 conversion to methane and methanol: Assessment for small scale applications

Andreas Züttel, Robin Tobias Andreas Mutschler, Emanuele Moioli

This study analyses the power to methane - and to methanol processes in the view of their efficiency in energy storage. A systematic investigation of the differences on the two production systems is performed. The energy storage potential of CO2 to methano ...

PERGAMON-ELSEVIER SCIENCE LTD2019

The influence of urban form on the grid integration of renewable energy technologies and distributed energy systems

Jean-Louis Scartezzini, Silvia Coccolo, Amarasinghage Tharindu Dasun Perera

Standard and newly designed building blocks for complex urban sites-also designated by urban archetypes - are used in this study to quantify the influence of urban forms on their energy demand and energy systems design. An energy hub, which consists on a m ...

Springer Nature2019

A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble

Pierre Magistretti, Henry Markram, Felix Schürmann, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Renaud Jolivet, Stefan Eilemann, Jay Coggan, Corrado Cali

One will not understand the brain without an integrated exploration of structure and function, these attributes being two sides of the same coin: together they form the currency of biological computation. Accordingly, biologically realistic models require ...

2018