scholarly journals Future directions of material chemistry and energy chemistry

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jing Cao ◽  
Ding Ma ◽  
Shu-Hong Yu
Keyword(s):  
High Performance ◽  
Fossil Fuels ◽  
Research Direction ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Energy Structure ◽  
Key Factors ◽  
Material Chemistry ◽  
Energy Chemistry ◽  
Survival And Development

Abstract Energy is an important substantial foundation for the survival and development of humans. However, the over-consumption of resources and environmental pollution have become more prominent. The key factors for solving energy problems are to increase energy utilization efficiency and optimize energy structure. The development of new materials is the research emphasis in the field of material chemistry all the time. For instance, developing new light-capture materials and catalysts to improve the efficiency of existing photovoltaic cells is one of the most effective approaches to increasing solar power capacity radically. The design of high-performance catalytic materials to make better use of energy from fossil fuels and biomass. In addition, it is an important research direction of material chemistry and energy chemistry to deeply understand the reaction mechanism of energy conversion.

Regional integrated energy system schemes selection based on risk expectation and Mahalanobis-Taguchi system

2021 ◽  
pp. 1-18
Author(s):  
Jiahang Yuan ◽  
Yun Li ◽  
Xinggang Luo ◽  
Lingfei Li ◽  
Zhongliang Zhang ◽  
...  
Keyword(s):  
Energy Demand ◽  
Choquet Integral ◽  
Subjective Evaluation ◽  
Risk Attitude ◽  
Energy System ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Energy Structure ◽  
Fuzzy Measures ◽  
Integrated Energy System

Regional integrated energy system (RIES) provides a platform for coupling utilization of multi-energy and makes various energy demand from client possible. The suitable RIES composition scheme will upgrade energy structure and improve integrated energy utilization efficiency. Based on a RIES construction project in Jiangsu province, this paper proposes a new multi criteria decision-making (MCDM) method for the selection of RIES schemes. Because that subjective evaluation on RIES schemes benefit under criteria has uncertainty and hesitancy, intuitionistic trapezoidal fuzzy number (ITFN) which has the better capability to model ill-known quantities is presented. In consideration of risk attitude and interdependency of criteria, a new decision model with risk coefficients, Mahalanobis-Taguchi system and Choquet integral is proposed. Firstly, the decision matrices given by experts are normalized, and then are transformed to minimum expectation matrices according to different risk coefficients. Secondly, the weights of criteria from different experts are calculated by Mahalanobis-Taguchi system. Mobius transformation coefficients based on interaction degree are to calculate 2-order additive fuzzy measures, and then the comprehensive weights of criteria are obtained by fuzzy measures and Choquet integral. Thirdly, based on group decision consensus requirement, the weights of experts are obtained by the maximum entropy and grey correlation. Fourthly, the minimum expectation matrices are aggregated by the intuitionistic trapezoidal fuzzy Bonferroni mean operator. Thus, the ranking result according to the comparison rules using the minimum expectation and the maximum expectation is obtained. Finally, an illustrative example is taken in the present study to make the proposed method comprehensible.

scholarly journals Driving and Influencing Factors of Biomass Energy Utilization from the Perspective of Farmers

2021 ◽  
Vol 39 (1) ◽  
pp. 269-274
Author(s):  
Minghao Liu ◽  
Zhaoyong Sun ◽  
Qian Li ◽  
Zheng Wei ◽  
Baorui Liang
Keyword(s):  
Renewable Energy ◽  
Influencing Factors ◽  
Rural Areas ◽  
Renewable Energy Sources ◽  
Living Environment ◽  
Biomass Energy ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Energy Sources ◽  
Energy Structure

Biomass energy is one of the most important renewable energy sources. Full utilization of this energy helps to optimize agricultural development, improve our living environment, and replace some non-renewable energy sources, thereby promoting the eco-environment across the country. However, biomass energy has not been extensively utilized in rural areas of China. Many farmers are not very enthusiastic about the use of biomass energy. Many scholars have tried to boost the willingness of farmers to utilize biomass energy. Therefore, this paper collects the relevant data from six aspects, namely, environmental factor, cost factor, income factor, behavior factor, policy factor, and personal factor, and constructs a binary logistic regression model. On this basis, the driving and influencing factors of biomass energy utilization were empirically analyzed from the perspective of farmers. The results show that the development of biomass energy is mainly affected by the farmers’ awareness of national energy strategy, the relevant costs of biomass utilization, and the attitude of family members and village committee. The research provides an important reference for further promotion of biomass energy, elevation of its utilization efficiency, and optimization of energy structure in rural China.

scholarly journals Research and Design of Wind and Solar Complementary Electric Sightseeing Boat

2020 ◽  
Vol 145 ◽  
pp. 02056
Author(s):  
Haomin Zhang ◽  
Xingang Xu
Keyword(s):  
Power Generation ◽  
Fossil Fuels ◽  
High Efficiency ◽  
Rapid Development ◽  
Light Energy ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Lake Area ◽  
Domestic Water ◽  
Hull Design

To solve the problem of rapid development of domestic water tourism and water pollution in scenic waters, windsurfing technology and solar photovoltaic technology are applied to small and medium-sized sightseeing cruise ships. While optimizing the hull design and component coordination, the application of automatic control technology further improves the utilization efficiency of wind and light energy, and achieves the adaptation of the sail angle of attack and the efficient coupling of the two energies. The ship mainly uses the natural resources of solar energy and wind energy. It will not burn fossil fuels during the ship’s travel, thus reducing the emission of toxic and harmful substances, which has positive significance for environmental protection. In short, the solar wind-assisted power generation ship studied in this project has remarkable features such as zero emission, high degree of intelligence, significant wind-assisted effect, high efficiency of light energy utilization, and low hull space occupation. Compared with the ordinary lake area cruise ship, the energy-saving and emission reduction effect of the power generation ship is very obvious[1].

scholarly journals Soil and Forest: The Key Factors for Human Survival

2017 ◽  
Vol 10 (3) ◽  
pp. 105 ◽  
Author(s):  
Shyi-Min Lu
Keyword(s):  
Fossil Fuels ◽  
Crop Yields ◽  
Production Costs ◽  
Nitrogen Fertilizers ◽  
Human Beings ◽  
Key Factors ◽  
Heavy Soil ◽  
Recent Climate ◽  
The Future ◽  
Survival And Development

From the past to the future, the development of human civilization has been closely related to the Earth's soil. However, we are now on the planet with the productive forces of soil resources that are gradually exhausting. In many agricultural areas, crop yields have been devastated by heavy soil erosion. Nitrogen fertilizers and fossil fuels in geological reservoirs tend to be scarce, resulting in both the increase of agricultural production costs and the increase of geopolitical conflict. Global warming, on the other hand, accelerates microbial greenhouse gases (GHG) released in soils and has a key role in recent climate change. In this paper, we show the challenges faced by human beings in the 21st century because of the direct and indirect responses of the soil expansion made by human past and future activities. We also stress that soil and forest are the future survival and development key factors for human beings. This global trend of development should be the recommendations for Taiwanese future development policy of land and forest.

scholarly journals Perfect metamaterial absorber improved laser-driven flyer

Nanophotonics ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Xiangbo Ji ◽  
Wenzhi Qin ◽  
Xuannan Wu ◽  
Yao Wang ◽  
Fuhua Gao ◽  
...  
Keyword(s):  
Electron Temperature ◽  
High Speed ◽  
High Performance ◽  
Metal Structure ◽  
Metamaterial Absorber ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Acceleration Process ◽  
Perfect Metamaterial Absorber ◽  
New Perspective

Abstract Laser driven flyer (LDF) can drive small particles to ultrahigh speed (several km/s) by feeding pulse laser light, and exhibits giant application prospect in both of the civilian and military regions, such as the ignition of missile and spacecraft and dynamic high-pressure loading. In this work, we demonstrate a high-performance LDF by using the perfect metamaterial absorber (PMA) to improve the energy utilization efficiency of light. The designed Ag nanopillar array in anodic aluminum oxide templates (APA-AAO) were skillfully fabricated in-situ on the flyer layer surface, which can greatly reduce the reflectivity from 93% of the pure Al foil flyers to about 5% of the APA-AAO enhanced flyers. Our systematically transient analysis reveals that this ultralow reflectivity, together with the well-formed metal structure on Al foil, greatly improve both of the electron temperature and sustaining time of plasma formed in the ablating layer, and further enhances the acceleration process at both of the initial detonation wave generation stage (0–10 ns) and the following thermal expansion stage (10–200 ns). The final speed of the flyer generated in the PMA-enhanced LDF approach to 1730 m/s, which is about 1.4 times larger than that (1250 m/s) of the pure Al foil flyers. The transient electron temperature, transient flyer shadowgraph, plasma sustaining time, velocity, and accelerated velocity have been investigated systematically in this work. This PMA enhanced LDF provides an effective method for obtaining high-speed microparticles, and opens up a new perspective and guidance for designing high-performance LDF.

scholarly journals Opportunistic Network Algorithms for Internet Traffic Offloading in Music Festival Scenarios

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3315
Author(s):  
Aida-Ștefania Manole ◽  
Radu-Ioan Ciobanu ◽  
Ciprian Dobre ◽  
Raluca Purnichescu-Purtan
Keyword(s):  
High Performance ◽  
Geographical Area ◽  
Mobility Model ◽  
Routing Algorithms ◽  
Message Delivery ◽  
Opportunistic Network ◽  
Key Factors ◽  
Network Algorithms ◽  
Music Festival ◽  
Social Metrics

Constant Internet connectivity has become a necessity in our lives. Hence, music festival organizers allocate part of their budget for temporary Wi-Fi equipment in order to sustain the high network traffic generated in such a small geographical area, but this naturally leads to high costs that need to be decreased. Thus, in this paper, we propose a solution that can help offload some of that traffic to an opportunistic network created with the attendees’ smartphones, therefore minimizing the costs of the temporary network infrastructure. Using a music festival-based mobility model that we propose and analyze, we introduce two routing algorithms which can enable end-to-end message delivery between participants. The key factors for high performance are social metrics and limiting the number of message copies at any given time. We show that the proposed solutions are able to offer high delivery rates and low delivery delays for various scenarios at a music festival.

scholarly journals A Comeback of Wind Power in Shipping: An Economic and Operational Review on the Wind-Assisted Ship Propulsion Technology

2021 ◽  
Vol 13 (4) ◽  
pp. 1880
Author(s):  
Todd Chou ◽  
Vasileios Kosmas ◽  
Michele Acciaro ◽  
Katharina Renken
Keyword(s):  
Fossil Fuels ◽  
Secondary Data ◽  
Decision Makers ◽  
Transport Sector ◽  
Key Factors ◽  
Ship Propulsion ◽  
Fuel Savings ◽  
Technological Growth ◽  
The Status ◽  
Promising Solution

Wind-assisted ship propulsion (WASP) technology seems to be a promising solution toward accelerating the shipping industry’s decarbonization efforts as it uses wind to replace part of the propulsive power generated from fossil fuels. This article discusses the status quo of the WASP technological growth within the maritime transport sector by means of a secondary data review analysis, presents the potential fuel-saving implications, and identifies key factors that shape the operational efficiency of the technology. The analysis reveals three key considerations. Firstly, despite the existing limited number of WASP installations, there is a promising trend of diffusion of the technology within the industry. Secondly, companies can achieve fuel savings, which vary depending on the technology installed. Thirdly, these bunker savings are influenced by environmental, on-board, and commercial factors, which presents both opportunities and challenges to decision makers.

scholarly journals Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 651
Author(s):  
Shengyi Zhao ◽  
Yun Peng ◽  
Jizhan Liu ◽  
Shuo Wu
Keyword(s):  
Neural Network ◽  
High Performance ◽  
Model Comparison ◽  
Research Direction ◽  
Disease Diagnosis ◽  
Tomato Leaf ◽  
Identification Accuracy ◽  
Main Research ◽  
Proposed Model ◽  
Complex Features

Crop disease diagnosis is of great significance to crop yield and agricultural production. Deep learning methods have become the main research direction to solve the diagnosis of crop diseases. This paper proposed a deep convolutional neural network that integrates an attention mechanism, which can better adapt to the diagnosis of a variety of tomato leaf diseases. The network structure mainly includes residual blocks and attention extraction modules. The model can accurately extract complex features of various diseases. Extensive comparative experiment results show that the proposed model achieves the average identification accuracy of 96.81% on the tomato leaf diseases dataset. It proves that the model has significant advantages in terms of network complexity and real-time performance compared with other models. Moreover, through the model comparison experiment on the grape leaf diseases public dataset, the proposed model also achieves better results, and the average identification accuracy of 99.24%. It is certified that add the attention module can more accurately extract the complex features of a variety of diseases and has fewer parameters. The proposed model provides a high-performance solution for crop diagnosis under the real agricultural environment.

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