A commissioning-oriented approach to data-driven modeling of buildings with heat pumps for predictive demand response

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The complexity of modern control systems necessitates architectures that achieve high performance while ensuring robust stability, particularly for nonlinear systems. In this work, we tackle the challenge of designing output-feedback controllers to boost t ...

Regular inspection and maintenance are crucial for ensuring the optimal performance of solar panels. However, conventional manual methods can be laborious, time consuming, and expensive, especially for large and inaccessible installations. Aerial inspectio ...

This study presents the design and performance evaluation of a solar-driven water desalination system based on forward osmosis (FO) with thermally responsive ionic liquids (ILs). FO is a two-step process involving dilution of the ILs with water, followed b ...

Solar photovoltaic (PV) is the most rapidly expanding renewable resource worldwide. Yet, its full potential may be hindered by mismatches with market demand and correlated production profiles. In this research, we explore a case study of innovative PV plac ...

Organic-inorganic perovskite solar cells have achieved an impressive power conversion efficiency of up to 25.6% and 24.8%, respectively, for single and multijunction tandem architectures due to the huge progress made in the rational design and development ...

Data-driven approaches based on high-throughput capabilities and machine learning hold promise in revolutionizing human-centred materials discovery for sustainability and decarbonization. This Review examines the strengths and limitations of different trad ...

The semiconducting hybrid-organic inorganic halide perovskites have excellent optical and electronic properties that attract the interest of scientists and researchers. Perovskite solar cells have seen the most rising-rate in the chart of solar cell effici ...

Poor decisions and selfish behaviors give rise to seemingly intractable global problems, such as the lack of transparency in democratic processes, the spread of conspiracy theories, and the rise in greenhouse gas emissions. However, people are more predict ...

The photovoltaic perovskite, methylammonium lead triiodide [CH3NH3PbI3 (MAPbI(3))], is one of the most efficient materials for solar energy conversion. Various kinds of chemical and physical modifications have been applied to MAPbI(3) towards better unders ...

There still exists a large gap between simulation work and industrial applications in the context of control and optimization of solid-oxide fuel-cell (SOFC) systems. In an effort to bridge this gap, this study describes the experimental implementation of ...

Heat transfer phenomena involving internally heated fluid flows are of particular interest in several industrial applications, in chemical plants as in the nuclear field. This topic is relevant for the development of the Molten Salt Reactors (MSRs) since i ...

Multiple exciton generation (MEG) or carrier multiplication, a process that spawns two or more electron-hole pairs from an absorbed high-energy photon (larger than two times bandgap energy E-g, is a promising way to augment the photocurrent and overcome th ...

Sprawling posture robots are characterized by upper limb segments protruding horizontally from the body, resulting in lower body height and wider support on the ground. Combined with an actuated segmented spine and tail, such morphology resembles that of s ...

New binary ionic liquid electrolytes based on 1-methyl-1-butylpyrrolidinium bis(trifluromethylsulfonyl)imide, 1-butylpyridinium bis(trifluromethylsulfonyl)imide, 1-methyl-3-ethylimidazolium bis(trifluromethylsulfonyl)imide, 1-methyl-3-ethylimidazolium tetr ...

Point process generalized linear models (PP-GLMs) provide an important statistical framework for modeling spiking activity in single-neurons and neuronal networks. Stochastic stability is essential when sampling from these models, as done in computational ...

We report on the mixed photovoltaic/photoconductive operation mode of a visible blind photodetector based on GaN nanowires containing a p-i-n junction. The photodetector operates as a photovoltaic device close to zero bias and exhibits a photoconductive ga ...

A commissioning-oriented approach to data-driven modeling of buildings with heat pumps for predictive demand response

Chattez avec Graph Search

Parametrizations of all stable closed-loop responses: From theory to neural network control design

Drone‐Based Solar Cell Inspection With Autonomous Deep Learning

Performance modeling and cost optimization of a solar desalination system using forward osmosis with energy storage

Optimized market value of alpine solar photovoltaic installations

Charge transport materials for mesoscopic perovskite solar cells

Human- and machine-centred designs of molecules and materials for sustainability and decarbonization

Compositional Engineering of Perovskite Light Absorbers for Enhanced Stability and Performance through 2D/3D Interfacing

Discrete-Choice Mining of Social Processes

Pressure-induced transformation of CH3NH3PbI3: the role of the noble-gas pressure transmitting media

Real-time optimization of an experimental solid-oxide fuel-cell system

Cfd-Based Correlation For Forced Convection Heat Transfer In Circular Ducts Of Internally Heated Molten Salts

Low threshold and efficient multiple exciton generation in halide perovskite nanocrystals

Control of Bio-Inspired Sprawling Posture Quadruped Robots with an Actuated Spine

Influence of Ionic Liquid Electrolytes on the Photovoltaic Performance of Dye-Sensitized Solar Cells

On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs

Interplay of the photovoltaic and photoconductive operation modes in visible-blind photodetectors based on axial p-i-n junction GaN nanowires