年份 | 2015 |
学科 | 能源物理 Energy: Physical |
国家/州 | United State of America |
Novel Automated Designs and Rapid Multivariate Optimization of Next-Generation Multijunction Quantum Dot Solar Cells Using Monte Carlo Modeling
Large-scale adoption of solar power is limited by high cost compared to fossil fuel-based power generation. Multijunction quantum dot solar cells offer a potential high-efficiency, low-cost solution. Despite high performance in quantum dot solar cells (QDSCs), lead sulfide quantum dots (QDs) have not been thoroughly studied in multijunction solar cells. To optimize multijunction QDSC efficiency by characterizing photon-quantum dot interactions, quantum mechanically cloud-computed absorption spectra of lead sulfide QDs of various diameters and the solar radiation spectrum on Earth’s surface were incorporated into Java-programmed Monte Carlo simulations implementing novel algorithms. Algorithms were developed and executed to quantify photon absorption-electricity conversion synergy. After thousands of hours of computation, 6,132 multivariate simulations were conducted spanning design permutations for 1- to 9-junction QDSCs of constant solar cell thickness for various QD diameters and bandgap standard deviations. Solar spectral changes and optimal energy conversion efficiencies were tracked as photons passed through junctions. A program was written to automatically sort through the efficiency results, taking into consideration the thermodynamic model proposed by De Vos et al. Computed optimized efficiencies were 39.2%, 51.5%, 57.7%, 62.8%, 64.5%, 66.7%, 68.1%, 68.4%, and 68.7% for 1- to 9-junction QDSCs under concentrated sunlight, compared to the 33.7% Shockley-Queisser limit of conventional solar cells. This work constructed and demonstrated a novel methodology using computation to rapidly achieve optimal designs for multijunction QDSCs. Wider application of this technique could enable and significantly accelerate multijunction QDSC development and adoption.
高中生科研 英特尔 Intel ISEF
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英特尔国际科学与工程大奖赛,简称 "ISEF",由美国 Society for Science and the Public(科学和公共服务协会)主办,英特尔公司冠名赞助,是全球规模最大、等级最高的中学生的科研科创赛事。ISEF 的学术活动学科包括了所有数学、自然科学、工程的全部领域和部分社会科学。ISEF 素有全球青少年科学学术活动的“世界杯”之美誉,旨在鼓励学生团队协作,开拓创新,长期专一深入地研究自己感兴趣的课题。
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Studies of renewable energy structures/processes including energy production and efficiency.
Hydro Power (HYD): The application of engineering principles and design concepts to capture energy from falling and running water to be converted to another form of energy.
Nuclear Power (NUC): The application of engineering principles and design concepts to capture nuclear energy to be converted to another form of energy.
Solar (SOL): The application of engineering principles and design concepts to capture energy from the sun to be converted to another form of energy.
Sustainable Design (SUS): The application of engineering principles and design concepts to plan and/or construct buildings and infrastructure that minimize environmental impact.
Thermal Power (THR): The application of engineering principles and design concepts to capture energy from the Earth’s crust to be converted to another form of energy.
Wind (WIN): The application of engineering principles and design concepts to capture energy from the wind to be converted to another form of energy.
Other (OTH): Studies that cannot be assigned to one of the above subcategories. If the project involves multiple subcategories, the principal subcategory should be chosen instead of Other.
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