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eSMART Technologies
Related publications (700)
Energy, SBS symptoms, and productivity in Swiss open-space offices: Economic evaluation of standard, actual, and optimum scenarios
Dusan Licina, Dolaana Khovalyg, Verena Marie Barthelmes, Arnab Chatterjee, Cecile Anne Berquand
The fundamental aspiration of new-generation high-performing buildings is to reduce energy use while securing indoor environmental quality conducive to human health and productivity. However, existing frameworks for identifying Key Performance Indicators ( ...
PERGAMON-ELSEVIER SCIENCE LTD2023DeepValve: 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 ...
2023Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats
Rachid Guerraoui, Alexandre David Olivier Maurer, Omid Ardakanian
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 SA2023Preserving suspended structures with light façades (1960-1980).Architectural study and retrofitting proposals
Nowadays, the energy efficiency of the existing building stock is internationally accepted as a topical issue. Energy retrofitting is encouraged, improving the thermal performances of buildings, but often altering the historical image of our cities. Attent ...
EPFL2023Renewable Energy Integration and Waste Heat Recovery for the Production of Sustainable Jet Fuel and Decarbonization of Industrial Heating Applications
François Maréchal, Daniel Alexander Florez Orrego, Meire Ellen Gorete Ribeiro Domingos, Réginald Germanier
The process synthesis and optimization methods used in this work include simulation of biomass gasification, hydrogen and synthetic natural gas production, and jet fuel production via a Fisher Tropsch unit. An energy integration approach, carried out by th ...
American Institute of Chemical Engineering2023A systemic study for enhanced waste heat recovery and renewable energy integration towards decarbonizing the aluminium industry
François Maréchal, Daniel Alexander Florez Orrego, Réginald Germanier
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 ...
2023Nanoscale thermal control of a single living cell enabled by diamond heater-thermometer
Aleksandra Radenovic, Evgenii Glushkov
We report a new approach to controllable thermal stimulation of a single living cell and its compartments. The technique is based on the use of a single polycrystalline diamond particle containing silicon-vacancy (SiV) color centers. Due to the presence of ...
NATURE PORTFOLIO2023A 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 ...
Amsterdam2023Vegetation effects on climate and building energy demand in cities
Jian Wang, Gabriele Manoli, Paolo Burlando
Excessive heat in cities exacerbated by urban heat islands can negatively impact human health, building energy consumption, and urban ecosystems. Increasing urban greenery has often been proposed as an attractive mitigation strategy as vegetation can reduc ...
2023OccuVAE: Integrating unsupervised occupancy inference in data-driven energy modeling for human-centric operation
Andrew James Sonta, Yufei Zhang
Data-driven building energy modeling is an emerging solution to facilitate the implementation of energy-flexible buildings. However, its black-box nature hinders interpretation, including with respect to human-building interaction. This drawback may bring ...
Association for Computing Machinery2023