scholarly journals An Empirical Study on the Efficiency and Influencing Factors of the Photovoltaic Industry in China and an Analysis of Its Influencing Factors

2019 ◽  
Vol 11 (23) ◽  
pp. 6693 ◽  
Author(s):  
Cai ◽  
Liang ◽  
Tang ◽  
Wang ◽  
Wei ◽  
...  
Keyword(s):  
Power Generation ◽  
Influencing Factors ◽  
High Efficiency ◽  
Negative Impact ◽  
Early Stage ◽  
Industrial Efficiency ◽  
Factors Affecting ◽  
Stage Of Development ◽  
Low Efficiency ◽  
Countermeasures And Suggestions

The photovoltaic (PV) industry in China is still in the early stage of development and is extremely unbalanced; breakthroughs in key technologies are necessary. To achieve high efficiency and sustainable development, it is important to identify the bottleneck of the whole industry chain through the analysis of overall industrial technical efficiency. Based on the current situation of the PV industry, this study builds the data envelopment analysis (DEA) model to respectively evaluate the efficiency of PV devices and power generation in the PV industrial chain. The Tobit model is used to conduct an empirical analysis of the factors affecting the efficiency of the PV industry. The results show that the industrial efficiency of PV devices is at a medium level and that it is necessary to strengthen regulation and awareness at the industrial scale. However, the PV power generation industry as a whole is at a low efficiency level, especially the inadequate technical level, which has a negative impact on the improvement of industrial efficiency. Finally, countermeasures and suggestions at the enterprise and government level are put forward to improve the efficiency of the PV industry in China.

scholarly journals Analysis on Spatio-temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency——From the Perspective of Innovation Value Chain

2021 ◽  
Author(s):  
Liyuan Zhang ◽  
Pengzhen Liu ◽  
Heather Tarbert
Keyword(s):  
Research And Development ◽  
Influencing Factors ◽  
Value Chain ◽  
High Efficiency ◽  
Transformation Efficiency ◽  
Negative Impact ◽  
Positive Impact ◽  
Science And Technology ◽  
Green Innovation ◽  
Two Stage

Green innovation has become an important combination of high-quality economic growth and sustainable development of ecological environment. In this paper, the super-efficiency network SBM model is used to measure the two-stage green innovation efficiency of industrial science and technology R&D and achievement transformation in 30 provinces and cities from 2009 to 2019, and exploratory Data Analysis (ESDA) and spatial econometric model are used to investigate the spatial-temporal evolution characteristics and influencing factors of green innovation efficiency. The results show that: firstly, the overall efficiency of industrial green innovation is low, and the efficiency of scientific research and development and achievement transformation has experienced three stages of "upward-declining-revitalized period". The low efficiency of achievement transformation is an important factor hiding the improvement of the efficiency of industrial green innovation. Secondly, The industrial green innovation efficiency gradually increases from northwest to southeast, forming a centralized "line" and "block" distribution. The high efficiency area is still concentrated in the eastern coastal region, and the balanced development trend is obvious in the central and western regions. Finally, openness has a positive impact on the two-stage green innovation efficiency; Industrial structure and government investment in science and technology have a positive impact on the efficiency of science and technology research and development, but have no significant effect on the efficiency of achievement transformation. Enterprise size has a positive effect on achievement transformation efficiency, but has no significant effect on R&D efficiency. Environmental regulation has a positive impact on R&D efficiency and a negative impact on achievement transformation efficiency.

scholarly journals Research on influencing factors of the development of cultural and creative industries based on grey factor analysis

2021 ◽  
pp. 24-24
Author(s):  
Jianjun Li ◽  
Jia Liao
Keyword(s):  
Factor Analysis ◽  
Influencing Factors ◽  
Creative Industries ◽  
Added Value ◽  
Cultural Consumption ◽  
Factors Affecting ◽  
Healthy Development ◽  
Impacting Factors ◽  
Countermeasures And Suggestions ◽  
Cultural And Creative Industries

In order to study the influencing factors of cultural and creative industries (CCIs), the Grey Factor Analysis and 30 different indexes are used to empirically analyze the correlation between the influencing factors and the added value of CCIs in Shanghai. At the same time, main environmental factors affecting the development of CCIs are explored. The result shows that technology research and development, policy and government financial support, human resources, social culture, cultural consumption environment, cultural industry basis and development status are important impacting factors on the development of CCIs in Shanghai. Based on the above research results, this paper puts forward some countermeasures and suggestions on the construction of a comprehensive environment to promote the sustainable and healthy development of CCIs.

Potential and Current Uses of Luminescence in Medical Diagnosis

2005 ◽  
Vol 480-481 ◽  
pp. 411-416 ◽  
Author(s):  
L. Avramaov ◽  
E. Borisova ◽  
P.D. Townsend ◽  
L.A. Valberg
Keyword(s):  
High Efficiency ◽  
Early Stage ◽  
Optical Excitation ◽  
Practical Reasons ◽  
Stage Of Development ◽  
Sensitivity Range ◽  
Tissue Changes ◽  
Luminescence Detectors ◽  
Non Destructive ◽  
Higher Sensitivity

Biological luminescence stimulated by optical excitation results in signals which are characteristic of the host tissue. The spectrum of the emitted light, the intensity, and the excited state lifetimes are modified as the result of disease or by activation through addition of cell selective phosphors. There is an opportunity to identify diseased tissue both by the spectral signals from activators or, in some cases, by the differences of the natural luminescence responses. For practical reasons, defined by the sensitivity range of standard luminescence detectors, much of the current work has focussed on the short wavelength emissions driven by laser activation. However, the techniques are poised to undergo a dramatic expansion in scope with the advent of higher sensitivity photocathodes with high efficiency responses at long wavelengths. It is now possible to utilise a greater range of emission features with improved discrimination. Further, movement to longer wavelength excitation, and emission, open the way to probe deeper beneath the surface of tissue. The current overview will focus on recent examples from detection of cancer to tooth caries and indicate how the non-destructive luminescence probes can distinguish between tissue changes at an early stage of development.

The VIVACE Converter: Model Tests at High Damping and Reynolds Number Around 105

2006 ◽  
Author(s):  
Michael M. Bernitsas ◽  
Y. Ben-Simon ◽  
Kamaldev Raghavan ◽  
E. M. H. Garcia
Keyword(s):  
Reynolds Number ◽  
Power Efficiency ◽  
High Efficiency ◽  
Early Stage ◽  
Water Channel ◽  
Clean Energy ◽  
Low Velocity ◽  
Stage Of Development ◽  
Vortex Induced Vibrations ◽  
The University

The VIVACE Converter is a new concept to generate clean and renewable energy from fluid flows such as those abundant in oceans, rivers or other water resources. The underlying concepts for design, scaling, and operation of VIVACE (Vortex Induced Vibrations Aquatic Clean Energy) were introduced in our previous paper. In its simplest form, a VIVACE modulo consists of a single rigid cylinder mounted on elastic supports and connected to a Power Take Off (PTO) system. The cylinder is placed in a steady unidirectional current and excited in VIV. In this paper, the VIVACE modulo was tested in the Low Turbulence Free Surface Water Channel of the University of Michigan to demonstrate the concept, generate electricity, measure its efficiency, and calculate basic benchmarking measures such as energy density. Tests performed were tailored to the particulars of the VIVACE modulo which dictate that the cylinder operate in VIV under high damping and as high a Reynolds number as possible. At the same time, a broad range of synchronization is required to make VIVACE effective in energy generation in a realistic environment. Due to these requirements, VIV tests have not been performed before in the subspace applicable to the operation of the VIVACE modulo. In the process of extracting fluid kinetic energy and converting it to electricity in the lab, for a given set of cylinder-springs-transmission-generator, only the damping used for harnessing electricity was optimized. Even at this early stage of development, for the tested VIVACE modulo, the maximum peak efficiency achieved was ηPeak = 0.308; the corresponding integrated power efficiency in that particular test was ηVIVACE = 0.22 with theoretical upper limit based on measurements of ηUL-VIVACE = 0.3663. Such a high efficiency was achieved even at the low velocity U = 0.840m/sec = 1.63knots.

scholarly journals The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China

2021 ◽  
Vol 18 (3) ◽  
pp. 889
Author(s):  
Gongli Luo ◽  
Xiaotong Wang ◽  
Lu Wang ◽  
Yanlu Guo
Keyword(s):  
Economic Efficiency ◽  
High Efficiency ◽  
Negative Impact ◽  
Environmental Regulations ◽  
National Level ◽  
Critical Value ◽  
Eastern Region ◽  
Low Efficiency ◽  
The Impact ◽  
The Relationship

This study examined the relationship between environmental regulations (ER) and green economic efficiency (GEE) based on the panel data of 30 provinces in China from 2008 to 2017. Firstly, GEE was calculated and evaluated using the super-efficiency SBM model with undesirable outputs. Secondly, the impact of ER on GEE was studied with the Tobit model. Finally, this article draws conclusions based on the above analysis and offers some suggestions for government and enterprise. The results show that the GEE of China is generally low. The GEE of the eastern region is much higher than that of the middle and western regions, with the western region performing slightly better than the middle. From west to east, there is a V shape, with high efficiency in the west and east and low efficiency in the middle. The impact of ER on GEE has the characteristics of nonlinearity and spatial heterogeneity. At the national level, as well as in the middle and western regions, the impact of ER on GEE shows an inverted U shape that first rises and then falls. ER are currently within the range conducive to the development of GEE. If the intensity of ER exceeds the critical value, they will have a negative impact on GEE. In the eastern region, the impact of ER on GEE is shown as a U shape that first falls and then rises. At present, the ER are not of sufficient intensity to contribute to the improvement of GEE. Only when the intensity of the ER exceeds the critical value will they have a positive influence on the GEE.

Study on the High Efficiency Closed Cycle Gas Turbine System

2001 ◽  
Author(s):  
Eiichi Koda ◽  
Toru Takahashi ◽  
Kazuo Uematsu ◽  
Hideaki Sugishita ◽  
Katsuya Yamashita ◽  
...  
Keyword(s):  
Power Generation ◽  
High Efficiency ◽  
Early Stage ◽  
Maximum Temperature ◽  
Target System ◽  
Pure Hydrogen ◽  
Closed Cycle ◽  
Generation System ◽  
Generation Efficiency ◽  
Power Generation System

In WE-NET project Phase I Program, the power generation system with more than 60%(HHV) thermal efficiency had been designed. However, because this system must be fueled by pure hydrogen, commercialization of this system in early stage is thought to be difficult. Therefore, the new project, in which the natural gas fueled system is targeted, has been started since FY1999. In this project, the power generation efficiency is aimed to be 60%(HHV) or higher, with turbine inlet maximum temperature of 1973K. In this report, the feature of the target system is explained at first. Then, the sensitivities of many parameters are examined in detail.

scholarly journals Study on the Influencing Factors and Acting Path of the Sustainable Development of Rural Tourism Based on EEAM-ISM Model

2021 ◽  
Vol 13 (10) ◽  
pp. 5682
Author(s):  
Gangmin Weng ◽  
Yue Pan ◽  
Jianpu Li
Keyword(s):  
Complex System ◽  
Sustainable Development ◽  
Influencing Factors ◽  
Structural Model ◽  
Rural Tourism ◽  
Three Dimensions ◽  
Event Analysis ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
Countermeasures And Suggestions

The sustainable development of rural tourism is a complex system that includes both objective environmental factors and subjective human factors. Based on the three dimensions of “man–machine–environment”, the element event analysis method (EEAM) is introduced to identify and determine the components of the rural tourism composite system. Then, a hierarchical digraph of the rural tourism complex system is constructed by the interpretative structural model (ISM), and the logical structural relations among factors are explored to clarify the action paths. It is found that: (1) through three rounds of soliciting opinions and revising the list of factors, a total of 26 key factors affecting the sustainable development of rural tourism were screened out; (2) the influencing factors are related to each other to form a five-level factor hierarchical structure, which clearly reveals the overall structure of the system and the support dependencies among factors; (3) on the basis of clarifying the path of influencing factors, the targeted countermeasures and suggestions for the sustainable development of rural tourism are proposed for three key paths. This not only provides a certain theoretical basis for sustainable forecasting but also helps decision-makers to take targeted countermeasures.

scholarly journals Transformer Less Self-Commutated PV Inverter

2021 ◽  
Vol 10 (8) ◽  
pp. 1-4
Author(s):  
Maithili P ◽  
Kanakaraj J
Keyword(s):  
Power Generation ◽  
High Efficiency ◽  
Low Cost ◽  
Photovoltaic Effect ◽  
Electrical Energy ◽  
Power Demand ◽  
Solar Pv ◽  
Pv System ◽  
Pv Inverter ◽  
Low Efficiency

The power demand is increased day by day and generation of electrical energy from non-renewable sources are not able to meet the demand. An alternate energy sources are the only solution to meet the power demand. The power generation from solar energy with photovoltaic effect is plays a major role. This Solar PV system has low efficiency. The power semiconductor devices and converter circuit along with inductive / magnetic circuit. The Inverter circuit have an influence on photovoltaic power generation to improve the level of output voltage along with efficiency. In this paper a new transformer less DC-AC converter is proposed, and it has high efficiency, requires less cost when compares with conventional inverter with transformer. Transformer less self-commutated photovoltaic inverter is reflected the advantages of central and string inverters. It gives high output power and low-cost converter. These transformer less DC-AC converter is connect with Boost/Buck-Boost converter for the better output. So, this proposed DC-AC converter topology is not required mechanical switching and it is lighter in size. The PV technology has low efficiency and utilize more cost for generation of power. The proposed transformer less PV inverter is the better choice to increase the usefulness and reduce the charge rate of this PV system.

scholarly journals Simulation and Sensitivity Analysis for Various Geometries and Optimization of Solid Oxide Fuel Cells: A Review

Eng ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 386-415
Author(s):  
Mina Tonekabonimoghaddam ◽  
Ahmad Shamiri
Keyword(s):  
Sensitivity Analysis ◽  
Fuel Cells ◽  
Fuel Cell ◽  
Solid Oxide Fuel Cells ◽  
High Efficiency ◽  
Early Stage ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Cell Parameters ◽  
Stage Of Development

Solid oxide fuel cells (SOFCs) are considered as one of the most promising fuel cell types for application as high efficiency power generators. This work reviews the use of computational fluid dynamics (CFD) to maximise SOFC performance and life, and minimise cost, by considering numerous configurations and designs. A critical analysis of available literature proves that detailed research on the simulation of thermal stress and its damaging impact on the SOFC is still in its early stage of development. Numerical simulation is expected to help optimize the design, operating parameters and fuel cell materials. Therefore, sensitivity analysis of fuel cell parameters using simulation models is analysed to address the issue. Finally, the present status of the SOFC optimization efforts is summarized so that unresolved problems can be identified and solved.

DIGITALIZATION AS A KEY FACTOR IN DEVELOPING LOGISTICS SERVICES MARKET IN THE CONTEXT OF THE COVID-19 SPREADING

2020 ◽  
Vol 10 (8) ◽  
pp. 1782-1797
Author(s):  
I.F. Zhukovskaya ◽  
◽  
D.A. Mityakov ◽  
Keyword(s):  
Supply Chains ◽  
Global Economy ◽  
Large Scale ◽  
Negative Impact ◽  
Early Stage ◽  
State Level ◽  
Economic Research ◽  
National Bureau ◽  
Stage Of Development ◽  
Restrictive Measures

Over the past decades, there have been significant changes in organizational forms, tools, technologies for managing companies’ logistics and supply chains. This is mainly the result of the business digitalization paradigm caused by the growth of logistics costs in recent years. Massive outbreaks of COVID-19 and restrictive measures introduced at the state level to prevent the spread of coronavirus have had a strong negative impact on the efficiency of the global economy in the first months. The coronavirus also severely disrupted logistics activities, as air travel was cut, seaports closed and workers were at risk. According to the National Bureau of Economic Research (NBER) estimates, the drop in GDP from restrictions in 64 studied countries of the world can reach 31.2%, and a third of this decline is due precisely to gaps in global supply chains. However, after the lifting of restrictive measures, the size of the global logistics market may grow from USD 2734 billion in 2020 to USD 3215 billion in 2021, which will amount to 17.6% on an annualized basis [1]. In these conditions, logistics providers need to quickly increase capacity, diversify routes, increase network flexibility and resiliency, and reduce costs. Achieving these results will depend on how quickly and comprehensively the logistics companies automate and digitize. The Russian logistics and supply chain management (SCM) market is still at an early stage of development, and many companies are just beginning to explore the possibilities of logistics outsourcing and service provision. Therefore, the issues of digitalization are not yet of primary importance for them. The analysis carried out in the article showed that in the context of the global digitalization of the economy, an advantageous geographical position on the path of movement of trade flows from Asia to Europe ceases to be a clear competitive advantage. In these conditions, Russian logistics companies need large-scale automation and digitalization.

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