scholarly journals SD Simulation Research on the Green Low-Carbon Development of Coal Enterprises

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yinna Xu ◽  
Guohao Zhao ◽  
Baojian Zhang ◽  
Jiao Jiao
Keyword(s):  
System Dynamics ◽  
Simulation Analysis ◽  
Self Organization ◽  
Low Carbon ◽  
Nonlinear Feedback ◽  
Market Environment ◽  
Main Challenge ◽  
Low Carbon Development ◽  
Coal Enterprises ◽  
The Impact

The green low-carbon development system of enterprises, differing from the traditional linear system, is a nonlinear feedback system with complex causality. Based on self-organization theory, this study clarified the self-organization evolution logic of the green low-carbon development of coal enterprises and constructed a system dynamics model following a system dynamics method. Through a scenario simulation analysis, the impact of the market environment, environmental regulation, and enterprises’ innovation level on the green low-carbon development of coal enterprises was revealed. Applicability suggestions based on simulation results were proposed. The results confirmed that the main challenge for coal enterprises is that the coal market environment restricts the promotion of green low-carbon development level of coal enterprises. Improving innovation levels is the most effective way for coal enterprises to address these issues.

scholarly journals Have FDI quantity and quality promoted the low-carbon development of science and technology parks (STPs)? The threshold effect of knowledge accumulation

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245891
Author(s):  
Shujing Zhang ◽  
Beibei Hu ◽  
Xiufeng Zhang
Keyword(s):  
Positive Impact ◽  
Science And Technology ◽  
High Tech ◽  
Low Carbon ◽  
Knowledge Accumulation ◽  
Science And Technology Parks ◽  
Technology Parks ◽  
Level Of Knowledge ◽  
Low Carbon Development ◽  
The Impact

In recent times, China has emphasized five major development concepts to promote high-quality development: coordination, green, innovation, openness, and sharing. As a metamorphosis of these ideas, Chinese science and technology parks (STPs) are gathering areas of high-tech industries and represent advanced productive forces. Their greenness, openness, and innovative developments herald the future development trends of China. Based on the data of 52 STPs in China from 2011 to 2018, this study analyzes the impact of foreign direct investment (FDI) quantity and quality on the low-carbon development of the STPs. We use Hansen’s nonlinear panel threshold regression model with knowledge accumulation as the threshold variable. The results show the following: First, there are complex nonlinear relationships between FDI quantity, FDI quality, and the low-carbon development of the STPs. Second, FDI quantity has a significant positive impact on the low-carbon development of the STPs only when the level of knowledge accumulation is below a certain threshold. Beyond this threshold the effect is no longer significant. Third, FDI quality has a significant positive impact on the low-carbon development of STPs only when the level of knowledge accumulation is lower than a certain threshold; beyond which, the impact is no longer significant. These results can serve as a reference for China to effectively promote economic low-carbon growth of STPs and achieve green, open, and innovative development.

scholarly journals Research on China’s Power Sustainable Transition Under Progressively Levelized Power Generation Cost Based on a Dynamic Integrated Generation–Transmission Planning Model

2019 ◽  
Vol 11 (8) ◽  
pp. 2288 ◽  
Author(s):  
Huang ◽  
Liang ◽  
Liang ◽  
Tong
Keyword(s):  
Power Generation ◽  
Technology Diffusion ◽  
Low Carbon ◽  
Power Transition ◽  
Generation Cost ◽  
Incentive Policies ◽  
Development Goals ◽  
Low Carbon Development ◽  
The Impact

The government of China has introduced a series of energy-saving and emission reduction policies and energy industry development plans to promote the low-carbon development of the power sector. Under relatively clear and specific low-carbon development goals, the ongoing power transition has recently been studied intensively in the frame of global sustainable transition. With the development of renewable technologies, besides the long-term development goals, learning and diffusion of innovative technologies and the incentive effect of supportive policies are also important driving forces of the transition. The levelized power generation cost is the power generation cost when the net present value of the power project is zero. In this paper, the levelized power generation cost model with a learning curve and policy scenario is used to reflect the impact of technology diffusion and incentive policies from the economy perspective. By treating it as a state transfer function, a dynamic power generation–transmission integrated planning model based on the Markov Decision Process is established to describe the long-term power transition pathway under the impact of power technology diffusion and incentive policies. Through the calculation of power demand forecasting data up to 2050 and other power system information, the dynamic planning result shows that the current low-carbon policies cannot obviously reduce the expansion of coal power, but if strict low-carbon policies are implemented, the renewable power will gradually become dominant in the power structure before 2030.

Research on Low-Carbon Development of Energy Mix in Shaanxi Province Based on System Dynamics

2013 ◽  
Vol 275-277 ◽  
pp. 2693-2696
Author(s):  
Wei Li Xia ◽  
Xiao Ge Li
Keyword(s):  
System Dynamics ◽  
Industrial Structure ◽  
Shaanxi Province ◽  
Energy Structure ◽  
Low Carbon ◽  
Development Mode ◽  
Energy Mix ◽  
Green Development ◽  
Future Data ◽  
Low Carbon Development

Low-carbon development of energy mix plays an important role in changing the development mode of Shaanxi Province, adjusting the industrial structure, promoting green development low-carbon life, and properly dealing with climate change. This thesis selects the system dynamics method, built the system dynamics model of the energy consumption. Model selected 28 variables, through the test of history, obtained future data. Finally, put forward the relevant recommendations of the energy structure of low-carbon development in Shaanxi Province.

scholarly journals System Coupling and Coordinating Evaluation of Green Low-carbon Development in Coal Enterprises

2021 ◽  
Author(s):  
Yinna Xu ◽  
Guohao Zhao
Keyword(s):  
Empirical Analysis ◽  
Interaction Mechanism ◽  
Low Carbon ◽  
Innovation Development ◽  
Development System ◽  
Low Carbon Development ◽  
Coal Enterprises ◽  
Degree Of Coupling ◽  
Carbon System ◽  
Coordination Degree

Abstract Green low-carbon development is the direction for coal enterprises to cope with overcapacity, industrial restructuring and enterprise transformation. Based on the connotation of green low-carbon development, this paper deconstructed the green low-carbon development of coal enterprises into a process of coupling and coordinated development of green low-carbon system (GLCS) and innovation development system (IDS) from a systematic perspective, further deconstructed the green low-carbon system into two subsystems of environment (ES) and resources(RS), and deconstructed the innovation development system into two subsystems of innovation (IS) and growth(GS), built the coupling and coordination evaluation model and grey relational degree model of green low-carbon development of coal enterprises, and made an empirical analysis of China Shenhua Energy Company Limited ("CSEC") and China National Coal Group Corp (“CNCGC”) in 2010-2017. The empirical analysis showed that the coupling and coordinating level of GLCS and IDS of CSEC and CNCGC is both not high, but there are differences in evolutionary trends and causes, and the coupling and interaction mechanism needs to be strengthened; the coupling coordination degree between ES and IS is good, and between RS and GS is the worst in CSEC, and the coupling coordination degree between RS and GS is highly correlated with the coupling coordination degree between GLS and IDS, and improving the level of IS is an important direction for CSEC; But in CNCGC the coupling coordination degree between subsystems fluctuates greatly, and there is no persistent good and persistent bad coupling, but in the past two years, the level of coupling coordination among subsystems has a rising trend, and the level of RS and the degree of coupling coordination between ES and IS have the highest correlation with the degree of coupling coordination between GLS and IDS. Coal enterprises should improve the interaction mechanism among subsystems, strengthen the driving role of green innovation, and promote green low-carbon development.

Computer simulation study about the dependence of amorphous silicon photonic waveguides efficiency on the material quality

2020 ◽  
Vol 90 (3) ◽  
pp. 30502
Author(s):  
Alessandro Fantoni ◽  
João Costa ◽  
Paulo Lourenço ◽  
Manuela Vieira
Keyword(s):  
Amorphous Silicon ◽  
High Throughput Screening ◽  
Simulation Analysis ◽  
Low Cost ◽  
Deposition Process ◽  
Large Area ◽  
Sidewall Roughness ◽  
Sensing Applications ◽  
Fabrication Defects ◽  
The Impact

Amorphous silicon PECVD photonic integrated devices are promising candidates for low cost sensing applications. This manuscript reports a simulation analysis about the impact on the overall efficiency caused by the lithography imperfections in the deposition process. The tolerance to the fabrication defects of a photonic sensor based on surface plasmonic resonance is analysed. The simulations are performed with FDTD and BPM algorithms. The device is a plasmonic interferometer composed by an a-Si:H waveguide covered by a thin gold layer. The sensing analysis is performed by equally splitting the input light into two arms, allowing the sensor to be calibrated by its reference arm. Two different 1 × 2 power splitter configurations are presented: a directional coupler and a multimode interference splitter. The waveguide sidewall roughness is considered as the major negative effect caused by deposition imperfections. The simulation results show that plasmonic effects can be excited in the interferometric waveguide structure, allowing a sensing device with enough sensitivity to support the functioning of a bio sensor for high throughput screening. In addition, the good tolerance to the waveguide wall roughness, points out the PECVD deposition technique as reliable method for the overall sensor system to be produced in a low-cost system. The large area deposition of photonics structures, allowed by the PECVD method, can be explored to design a multiplexed system for analysis of multiple biomarkers to further increase the tolerance to fabrication defects.

Sign in / Sign up

Export Citation Format

Share Document