با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
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1 |
Chemical adsorption on 2D dielectric nanosheets for matrix free nanocomposites with ultrahigh electrical energy storage
جذب شیمیایی روی نانوصفحات دی الکتریک دوبعدی برای نانوکامپوزیت های بدون ماتریس با ذخیره انرژی الکتریکی فوق العاده بالا-2021 Relaxor ferroelectric polymers display great potential in capacitor dielectric applications because of their
excellent flexibility, light weight, and high dielectric constant. However, their electrical energy storage
capacity is limited by their high conduction losses and low dielectric strength, which primarily originates
from the impact-ionization-induced electron multiplication, low mechanical modulus, and low thermal
conductivity of the dielectric polymers. Here a matrix free strategy is developed to effectively suppress
electron multiplication effects and to enhance mechanical modulus and thermal conductivity of a dielectric polymer, which involves the chemical adsorption of an electron barrier layer on boron nitride
nanosheet surfaces by chemically adsorbing an amino-containing polymer. A dramatic decrease of leakage current (from 2.4 106 to 1.1 107 A cm2 at 100 MV m1) and a substantial increase of breakdown strength (from 340 to 742 MV m1) were achieved in the nanocompostes, which result in a
remarkable increase of discharge energy density (from 5.2 to 31.8 J cm3). Moreover, the dielectric
strength of the nanocomposites suffering an electrical breakdown could be restored to 88% of the original
value. This study demonstrates a rational design for fabricating dielectric polymer nanocomposites with
greatly enhanced electric energy storage capacity.
Keywords: Boron nitride nanosheets | Electron barrier layer | Relaxor ferroelectric polymers | Nanocomposites | Electrical energy storage |
مقاله انگلیسی |
2 |
Optimal energy management in the smart microgrid considering the electrical energy storage system and the demand-side energy efficiency program
مدیریت بهینه انرژی در میکروگرید هوشمند با توجه به سیستم ذخیره انرژی الکتریکی و برنامه بهره وری انرژی طرف تقاضا-2020 Smart MicroGrids (MGs) are known as a powerful platform for exploiting the Electrical Energy Storage Systems
(EESSs). On the other hand, the Energy Efficiency Programs (EEPs) are recognized as an integral and highly
valuable element of smart MGs investments and operations. While the EEPs are known to be long-term programs,
they affect the short-term programs such as day ahead energy management. In this paper, the optimal energy
management program model associated with EESSs and EEPs namely EMPEESSs
EEPs has been proposed. The problem
takes the investment rate on the EEPs into account while solving optimal energy management problem. To do
this, the EEPs have been applied to the demand model. Furthermore, the proposed demand model has been used
in the optimal energy management of the smart microgrids. The proposed objective function has been modeled
as Mixed Integer Non-Linear Programming (MINLP) for the optimal energy management. Moreover, the GAMS
software is used to solve the formulated optimization problem. The results of different scenarios confirm that the
EEPs and EESSs are effective programs for the smart MGs energy management. The results are analyzed, and the
best cost optimal solution is identified. Keywords: Energy Efficiency Programs (EEPs) | Electrical demand | Thermal demand | Distributed Generation (DG) | Energy storage | Energy management |
مقاله انگلیسی |