Publications associées à Energy Saving Trust

Climate risk assessment of buildings: An analysis of operating emissions of commercial offices in Australia

Building climate risk assessment involves benchmarking a building's energy use intensity against decarbonisation pathways to mitigate the impacts on climate change. Various climate risk assessment tools and frameworks are used for commercial buildings in d ...

Elsevier Science Sa2024

Is the powersave governor really saving power?

David Atienza Alonso, Luis Maria Costero Valero, Darong Huang

A frequency scaling governor is critical for the performance management of cloud servers, as it enhances energy efficiency and helps to control operational temperatures, thereby ensuring system reliability. However, our in-depth analysis of the application ...

2024

DeepValve: Development and experimental testing of a Reinforcement Learning control framework for occupant-centric heating in offices

Dolaana Khovalyg, Amirreza Heidari

Space heating controls in offices usually follow static schedules detached from actual occupancy, which results in energy waste by unnecessarily heating vacant offices. The uniqueness of stochastic occupancy profile and thermal response time of each office ...

2023

Building ventilation and outdoor air pollution: Implications for health, comfort and energy

Evangelos Belias

As humans spend most of their time indoors, indoor air quality (IAQ) significantly impacts their health. In parallel, building ventilation consumes significant energy, contributing to climate change. However, the relationships between the building ventilat ...

EPFL2023

Analysis of the mechanism of renewable energy on energy-saving and environmental protection industry: Empirical evidence from four countries

Lixia Wei

The "Carbon Peaking and Carbon Neutrality" strategy of China has accelerated the process of industrial structure transformation of global energy-saving and environmental protection. With the international efforts to cope with climate change and the growing ...

ELSEVIER2022

Reinforcement learning for occupant-centric operation of residential energy system

François Maréchal, Dolaana Khovalyg, Amirreza Heidari

Occupant behavior is a highly stochastic phenomenon, which is known as a key challenge for the optimal control of residential energy systems. With the increasing share of renewable energy in the building sector, the volatile nature of renewable energy is a ...

TU Delft2022

Reinforcement Learning for proactive operation of residential energy systems by learning stochastic occupant behavior and fluctuating solar energy: Balancing comfort, hygiene and energy use

François Maréchal, Dolaana Khovalyg, Amirreza Heidari

When it comes to residential buildings, there are several stochastic parameters, such as renewable energy production, outdoor air conditions, and occupants’ behavior, that are hard to model and predict accurately, with some being unique in each specific bu ...

2022

Systematic Method for the Energy-Saving Potential Calculation of Air-Conditioning Systems via Data Mining. Part I: Methodology

Shen Yang, Xianlin Wang

Air-conditioning systems contribute the most to energy consumption among building equipment. Hence, energy saving for air-conditioning systems would be the essence of reducing building energy consumption. The conventional energy-saving diagnosis method thr ...

2021

Deep Reinforcement Learning for room temperature control: a black-box pipeline from data to policies

Colin Neil Jones, Bratislav Svetozarevic, Loris Di Natale

Deep Reinforcement Learning (DRL) recently emerged as a possibility to control complex systems without the need to model them. However, since weeks long experiments are needed to assess the performance of a building controller, people still have to rely on ...

2021

A QoS and Container-Based Approach for Energy Saving and Performance Profiling in Multi-Core Servers

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar, Wellington Silva De Souza

In this work we present ContainEnergy, a new performance evaluation and profiling tool that uses software containers to perform application runtime assessment, providing energy and performance profiling data. It is focused on energy efficiency for next gen ...

IEEE2019

A new clustering and visualization method to evaluate urban heat energy planning scenarios

Jean-Louis Scartezzini, Dasaraden Mauree, Silvia Coccolo, Sara Torabi Moghadam

Spatial visualization is a very useful tool to help decision-makers in the urban planning process, i) to define future energy transition pathways, ii) to implement energy efficiency strategies and iii) to integrate renewable energy technologies in the cont ...

2019

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

Radon Investigation in 650 Energy Efficient Dwellings in Western Switzerland: Impact of Energy Renovation and Building Characteristics

Dusan Licina, Shen Yang

As part of more stringent energy targets in Switzerland, we witness the appearance of new green-certified dwellings while many existing dwellings have undergone energy efficiency measures. These measures have led to reduced energy consumption, but rarely c ...

2019

Photocatalytic ammonia production enhanced by a plasmonic near-field and hot electrons originating from aluminium nanostructures

Olivier Martin, Christian Santschi, Madasamy Thangamuthu

Ammonia production at room temperature and atmospheric pressure is in high demand to assist in energy saving and the protection of the environment worldwide, as well as to help reduce CO2 emissions. Recently, plasmonic nanomaterials have been frequently us ...

2019

An Event-Driven Closed-Loop System for Real-Time FES Control

Silvestro Micera, Andrea Crema, Danilo Demarchi

Active functional rehabilitation procedures, exoskeleton application and prosthesis employment are essential tools for the society life reinstatement of subjects affected by neuromuscular disorders or victims of serious physical accident. In this paper we ...

IEEE2019

Daylight in buildings

Jan Wienold

Daylight should be a significant source of illumination for all spaces with daylight opening(s). Daylight is strongly favoured by building occupants as a way to adequately illuminate the indoor surfaces, and to save energy for electrical lighting. Daylight ...

CEN2018

Environmental innovation, policy and economic performance

Claudia Pellegrin

The objective of this thesis is to investigate three economic issues related to environmental innovation: evaluating how private investments in environmental innovation react to technological policy; testing whether environmental policy harms economic perf ...

EPFL2017

Design guidelines for remote laser welding in automotive assembly lines

Ian Anthony Stroud, Jumyung Um

Remote laser welding which has benefits for both productivity and energy saving is receiving increased attention for automotive assembly lines. Introducing this innovative equipment requires a redesign process for assembly elements, for example to substitu ...

Springer London Ltd2017

A New Design Paradigm for Smart Windows: Photocurable Polymers for Quasi-Solid Photoelectrochromic Devices with Excellent Long-Term Stability under Real Outdoor Operating Conditions

Michael Graetzel

A new photoelectrochromic device (PECD) is presented in this work proposing the combination of a WO3-based electrochromic device (ECD) and a polymer-based dye-sensitized solar cell (DSSC). In the newly designed architecture, a photocurable polymeric membra ...

Wiley-Blackwell2016

Energy Efficiency through Significance-Based Computing

Andreas Peter Burg, Georgios Karakonstantis

An extension of approximate computing, significance-based computing exploits applications' inherent error resiliency and offers a new structural paradigm that strategically relaxes full computational precision to provide significant energy savings with min ...

Institute of Electrical and Electronics Engineers2014