High-throughput computational screening of 2D materials for thermoelectrics

2020 ◽  
Vol 8 (37) ◽  
pp. 19674-19683
Author(s):  
Sevil Sarikurt ◽  
Tuğbey Kocabaş ◽  
Cem Sevik
Keyword(s):  
Renewable Energy ◽  
High Throughput ◽  
Thermoelectric Materials ◽  
High Performance ◽  
2D Materials ◽  
Energy Applications ◽  
Computational Screening

High-performance thermoelectric materials are critical in recuperating the thermal losses in various machinery and promising in renewable energy applications.

scholarly journals Biowaste-derived carbon black applied to polyaniline-based high-performance supercapacitor microelectrodes: Sustainable materials for renewable energy applications

2019 ◽  
Vol 316 ◽  
pp. 202-218 ◽  
Author(s):  
Sumita Goswami ◽  
Gowra Raghupathy Dillip ◽  
Suman Nandy ◽  
Arghya Narayan Banerjee ◽  
Ana Pimentel ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Carbon Black ◽  
High Performance ◽  
Energy Applications ◽  
Sustainable Materials

Discovery of High Performance Thermoelectric Chalcogenides Through First-Principles High-Throughput Screening

2021 ◽  
Author(s):  
Tao Fan ◽  
Artem R. Oganov
Keyword(s):  
Transport Properties ◽  
High Throughput ◽  
Thermoelectric Materials ◽  
First Principles ◽  
High Throughput Screening ◽  
High Performance ◽  
Energy Conversion Efficiency ◽  
High Energy ◽  
Energy And Environment ◽  
High Energy Conversion Efficiency

Searching for thermoelectric materials with high energy conversion efficiency is important to solve the energy and environment issues of our society. In this work, we studied the thermoelectric-related transport properties...

scholarly journals SiC Devices for Renewable and High Performance Power Conversion Applications

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Ibrahim Abuishmais ◽  
Tore M. Undeland
Keyword(s):  
Renewable Energy ◽  
High Performance ◽  
Power Conversion ◽  
Substantial Improvement ◽  
Switching Speed ◽  
Energy Applications ◽  
Switching Losses ◽  
High Switching Speed ◽  
Potential Impact

The unique properties of SiC devices enable substantial improvement of existing power conversion systems. SiC devices offer lower conduction and switching losses which increases converter efficiency. With high switching speed ability, employing SiC is expected to reduce weight and cost of conversion systems. This paper investigates the potential impact of SiC devices on renewable energy applications.

scholarly journals Recent Progress of Two-Dimensional Thermoelectric Materials

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Delong Li ◽  
Youning Gong ◽  
Yuexing Chen ◽  
Jiamei Lin ◽  
Qasim Khan ◽  
...  
Keyword(s):  
Thermoelectric Materials ◽  
High Performance ◽  
2D Materials ◽  
Electrical Power ◽  
Transition Metal Dichalcogenides ◽  
Two Dimensional ◽  
Research Attention ◽  
Metal Dichalcogenides ◽  
New Applications ◽  
Theoretical Simulations

AbstractThermoelectric generators have attracted a wide research interest owing to their ability to directly convert heat into electrical power. Moreover, the thermoelectric properties of traditional inorganic and organic materials have been significantly improved over the past few decades. Among these compounds, layered two-dimensional (2D) materials, such as graphene, black phosphorus, transition metal dichalcogenides, IVA–VIA compounds, and MXenes, have generated a large research attention as a group of potentially high-performance thermoelectric materials. Due to their unique electronic, mechanical, thermal, and optoelectronic properties, thermoelectric devices based on such materials can be applied in a variety of applications. Herein, a comprehensive review on the development of 2D materials for thermoelectric applications, as well as theoretical simulations and experimental preparation, is presented. In addition, nanodevice and new applications of 2D thermoelectric materials are also introduced. At last, current challenges are discussed and several prospects in this field are proposed.

Machine-learning-assisted high-throughput computational screening of high performance metal–organic frameworks

2020 ◽  
Vol 5 (4) ◽  
pp. 725-742 ◽  
Author(s):  
Zenan Shi ◽  
Wenyuan Yang ◽  
Xiaomei Deng ◽  
Chengzhi Cai ◽  
Yaling Yan ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Throughput ◽  
High Performance ◽  
Metal Organic Frameworks ◽  
Computational Screening ◽  
Metal Organic

The combination of machine learning and high-throughput computation for the screening of MOFs with high performance.

Multi-Input Boost Converter for Hybrid PV and Wind Generator Systems

2014 ◽  
Vol 925 ◽  
pp. 619-624
Author(s):  
Y.M.Y. Buswig ◽  
Wahyu Mulyo Utomo ◽  
Zainal Alam Haron ◽  
S.S. Yi
Keyword(s):  
Renewable Energy ◽  
High Performance ◽  
High Efficiency ◽  
Energy System ◽  
Energy Applications ◽  
Wind Generator ◽  
Hybrid Renewable Energy System ◽  
The Status ◽  
Constant Output ◽  
Hybrid Renewable Energy

A renewable energy source that works alone can’t achieve customers’ requirements for a stable power supply. Therefore, the paper proposes a multi-input converter for hybrid renewable energy system. This converter is designed for two input sources, PV and wind generator in order to design high efficiency and high performance converters for renewable energy applications. The proposed multi-input converter is composed by interleaved technique with two step-up converters and the two inputs are accommodated with some extra semiconductors, inductances and diodes. The modes of operation based on the status of the four switches, where S1 and S2 operate as main switches in order to deliver energy from both voltage sources. A constant output power to the load is provided by switching S3 switch, which guarantied the appropriate output voltage by reduce the ripple and improve the reliability. Simulations of multi-input converter has been performed using MATLAB/SIMULINK. The simulation results confirm the validity of the proposed method, which can be seen as a promising new topology that ensure multi-input converter suitable for renewable energy applications.

scholarly journals High Thermoelectric Performance of Cu-Doped PbSe-PbS System Enabled by High-Throughput Experimental Screening

Research ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Li You ◽  
Zhili Li ◽  
Quanying Ma ◽  
Shiyang He ◽  
Qidong Zhang ◽  
...  
Keyword(s):  
Experimental Technique ◽  
High Throughput ◽  
Thermoelectric Materials ◽  
High Performance ◽  
Large Scale ◽  
Transport Model ◽  
Thermoelectric Performance ◽  
Trial And Error ◽  
Lead Chalcogenides ◽  
Experimental Discovery

Recent advances in high-throughput (HTP) computational power and machine learning have led to great achievements in exploration of new thermoelectric materials. However, experimental discovery and optimization of thermoelectric materials have long relied on the traditional Edisonian trial and error approach. Herein, we demonstrate that ultrahigh thermoelectric performance in a Cu-doped PbSe-PbS system can be realized by HTP experimental screening and precise property modulation. Combining the HTP experimental technique with transport model analysis, an optimal Se/S ratio showing high thermoelectric performance has been efficiently screened out. Subsequently, based on the screened Se/S ratio, the doping content of Cu has been subtly adjusted to reach the optimum carrier concentration. As a result, an outstanding peak zT~1.6 is achieved at 873 K for a 1.8 at% Cu-doped PbSe0.6S0.4 sample, which is the superior value among the n-type Te-free lead chalcogenides. We anticipate that current work will stimulate large-scale unitization of the HTP experimental technique in the thermoelectric field, which can greatly accelerate the research and development of new high-performance thermoelectric materials.

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