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| 1 | Technological status of plasma-deposited thin-film silicon photovoltaics显示文摘 | Arvind Shah Etienne Moulin Christophe Ballif | 2013 | Solar Energy Materials and Solar Cells2013，，： | 2 |
| 2 | Improving metal reflectors by suppressing surface plasmon polaritons: a priori calculation of the internal reflectance of a solar cell显示文摘Imperfect internal reflectance of near-bandgap light reduces the performance of all solar cells,and becomes increasingly detrimental as absorbers become thinner.We consider light incident on the silicon/dielectric/metal structure at the back of rear-passivated crystalline silicon solar cells with surface textures that are large enough for geometric optics.By calculating the absorbance in the metal as a function of the angle of incidence,we discover three results that are important for understanding and improving rear reflectors in many types of solar cells.First,significant parasitic absorption occurs in the metal layer in two cases:s-and p-polarized propagating modes(near-normal angles of incidence)when the dielectric thickness is adjusted to cause destructive interference of the reflected beams,and p-polarized evanescent modes(angles of incidence above the semiconductor/dielectric critical angle)that excite surface plasmon polaritons at the metal surface.Second,the latter loss dominates;a well-designed rear dielectric passivation layer must suppress the penetration of evanescent waves to the metal.Third,when used as an input in a simple analytical model,the average rear internal reflectance calculated by assuming a Lambertian angular distribution of light accurately predicts the total reflectance and absorbance of a solar cell. | Zachary C Holman Stefaan De Wolf Christophe Ballif | 2013 | Light(Science & Applications)2013，2，1： | 2 |
| 3 | Rule-based scheduling of air conditioning using occupancy forecasting显示文摘Heating,ventilation and air conditioning systems represent considerable potential for energy savings,which can be realized through intelligent occupancy-centered control strategies.In this work,both supervised and unsupervised algorithms to forecast occupancy are proposed with the highest accuracies of 98.3%and 97.6%,respectively.Building on their output,a rule-based air conditioning scheduling technique is developed.As an example,a potential of 15.4%of energy savings is calculated using a dataset collected in a mid-size(4000 m 2)building in Portugal. | Marina Dorokhova Christophe Ballif Nicolas Wyrsch | 2020 | Energy and AI2020，2，2： | 1 |
| 4 | Passivating contact-based tunnel junction Si solar cells using machine learning for tandem cell applications显示文摘Tandem solar cells are a key technology for exceeding the theoretical efficiency limit of single-junction cells.One of the most promising combinations is the silicon–perovskite tandem cells,considering their potential for high efficiency,fabrication on a large scale,and low cost.While most research focuses on improving each subcell,another key challenge lies in the tunnel junction that connects these subcells,significantly impacting the overall cell characteristics.Here,we demonstrate the first use of tunnel junctions using a stack of p+/n+polysilicon passivating contacts deposited directly on the tunnel oxide to overcome the drawbacks of conventional metal oxide-based tunnel junctions,including low tunneling efficiency and sputter damage.Using Random Forest analysis,we achieved high implied open circuit voltages over 700 mV and low contact resistivities of 500 mΩcm 2,suggesting fill factor losses of less than 1%abs for the operating conditions of a tandem cell. | HyunJung Park Audrey Morisset Munho Kim Hae-Seok Lee Aicha Hessler-Wyser Franz-Josef Haug Christophe Ballif | 2023 | Energy and AI2023，14，4： | 0 |
| 5 | A 3D indicator for guiding AI applications in the energy sector显示文摘The utilisation of Artificial Intelligence (AI) applications in the energy sector is gaining momentum, withincreasingly intensive search for suitable, high-quality and trustworthy solutions that displayed promisingresults in research. The growing interest comes from decision makers of both the industry and policydomains, searching for applications to increase companies’ profitability, raise efficiency and facilitate theenergy transition. This paper aims to provide a novel three-dimensional (3D) indicator for AI applicationsin the energy sector, based on their respective maturity level, regulatory risks and potential benefits. Casestudies are used to exemplify the application of the 3D indicator, showcasing how the developed frameworkcan be used to filter promising AI applications eligible for governmental funding or business development.In addition, the 3D indicator is used to rank AI applications considering different stakeholder preferences(risk-avoidance, profit-seeking, balanced). These results allow AI applications to be better categorised in theface of rapidly emerging national and intergovernmental AI strategies and regulations that constrain the useof AI applications in critical infrastructures. | Hugo Quest Marine Cauz Fabian Heymann Christian Rod Lionel Perret Christophe Ballif Alessandro Virtuani Nicolas Wyrsch | 2022 | Energy and AI2022，9，3： | 0 |
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