Journal Information
Journal of Applied Science and Engineering Innovation
ISSN 2331-9062 (Print)
ISSN 2331-9070 (Online)
Journal of Applied Science and Engineering Innovation is an academic journal organized by the American Computational Science Society, which mainly publish the participants' papers in the annual International Conference on Applied Science, Engineering and Technology (ICASET) published a year. It usually do not accept the submission of non participants.
Current Issue
2022 Vol.9 No.1
Study on the Efficiency of Carbon Quota Allocation in China's Provincial Thermal Power Industry
Author: Zheng Li
Author affiliation: School of Economics and Management, North China Electric Power University, No.689 Hua Dian Road, Baoding, Hebei 071003, China.
Abstract: Based on data from 2010-2019, this paper uses an improved grey prediction model to forecast data on thermal power generation, energy consumption, installed thermal power capacity and the number of employees in the thermal power industry in each province of China in 2030, and conducts an evaluation study on the efficiency of carbon quota allocation in the thermal power industry in China in 2030. The results show that: 1) There is a large gap in the efficiency of carbon quota allocation between different provinces in China, and the analysis by dividing the provinces into regions shows that the reasons for this gap may be related to the different geographical locations, uneven economic development and inconsistent technological levels of each province. 2) The reallocation of carbon quotas through the ZSG-DEA model can effectively improve the carbon quota allocation efficiency of inefficient provinces. efficiency.3) The 16 provinces located in the economically less developed central and western regions of China with relatively low efficiency in carbon quota allocation, such as Hebei and Anhui, need to reduce their carbon quotas when allocating efficiently through the ZSG-DEA model, while the 14 provinces with relatively more developed economies and high efficiency in carbon quota allocation, such as Guangdong and Shandong, should increase their carbon quotas.
Keywords: Thermal Power Sector, Carbon Quotas, Grey Forecasting Models, ZSG-DEA
How to Cite this Article:
Zheng Li. Study on the Efficiency of Carbon Quota Allocation in China's Provincial Thermal Power Industry, Journal of Applied Science and Engineering Innovation, 2022, 9(1), 49-56.
Spatial and Temporal Distribution Prediction of Urban EV Charging Demand Based on Monte Carlo Simulation and Traffic Situation Big Data
Author: Bowen Xia
Author affiliation: School of Economics and Management, North China Electric Power University, No.689 Hua Dian Road, Baoding, Hebei 071003, China.
Abstract: Urban electric vehicle (EV) charging pile is a public service facility of urban transportation. Its overall layout planning and construction is a systematic project with high initial investment cost, wide coverage and strong comprehensive, which will have a profound impact on the future development of a city and residents' travel habits. To obtain scientific and effective charging pile layout scheme, accurate and reliable charging demand analysis is indispensable. Based on the research of EV charging behavior, this paper carried out the research on EV charging demand prediction from two dimensions of time and space, and constructed a time-series forecasting model of charging load based on Monte Carlo simulation and a spatial distribution model of charging demand based on traffic situation. The model can effectively and objectively reflect the spatial and temporal distribution characteristics of urban charging demand at the daily scale of planning year, making the output results of the model more accurate and close to the reality, so as to support the research of charging facility layout planning.
Keywords: Monte Carlo simulation, Spatial and temporal distribution, Traffic situation, Big data
How to Cite this Article:
Bowen Xia. Spatial and Temporal Distribution Prediction of Urban EV Charging Demand Based on Monte Carlo Simulation and Traffic Situation Big Data, Journal of Applied Science and Engineering Innovation, 2022, 9(1), 39-48.
Research on Carbon Emission Reduction Performance of CCUS Projects in China Under the Background of Carbon Neutralization
Author: Yuan Xiu’e, Xue Rui
Author affiliation: Department of economics and management, North China Electric Power University, Baoding, Hebei 071003, China.
Abstract: This paper uses data envelopment (DEA) model to measure the carbon emission reduction performance of CCUS demonstration projects in China. The carbon reduction performance is analyzed from the aspects of technical efficiency and scale efficiency, and the carbon reduction performance level, low efficiency reasons and improvement focus of each demonstration project are evaluated and analyzed. It is found that the carbon reduction efficiency of CCUS projects in China is relatively low at the present stage, and the emission reduction performance is affected by project size, financing level and industrial process. The scale of CCUS project does not match the input-output, so resource allocation should be adjusted under the support of technology. While vigorously promoting CCUS project construction under the guidance of carbon neutrality goal, attention should be paid to scale efficiency and operation and maintenance management of the project, so as to promote the smooth implementation of technological carbon emission reduction path.
Keywords: Carbon neutrality, Carbon Capture, Utilization and Storage (CCUS), Carbon emission reduction efficiency, DEA
How to Cite this Article:
Yuan Xiu’e, Xue Rui. Research on Carbon Emission Reduction Performance of CCUS Projects in China Under the Background of Carbon Neutralization, Journal of Applied Science and Engineering Innovation, 2022, 9(1), 33-38.
Two Types of Content Marketing in Video Distribution Platform-A Case Study of Bilibili
Author: Li Xingyu
Author affiliation: School of Journalism and Communication, Shanghai University, Shanghai 200000, China.
Abstract: According to CNNIC report, China's online video users account for 94.5% of the total Internet users with an enormous scale of 975 million, making content marketing in video distribution platform a craze. As a younger and prosperous video distribution platform, Bilibili holds a large potential market of the ZGeneration, attracting more and more brandstoemploy content marketing. This essay lists the prevailing types of content marketing in Bilibili, points out the functional content marketing and entertainment content marketing which are of greatest influence. Comparing with each other, the two types of content marketing suit different products and conditions, and have their unique ways to impact on audience.
Keywords: Bilibili, Video distribution platform, Functional content marketing, Entertainment content marketing
How to Cite this Article:
. Two Types of Content Marketing in Video Distribution Platform-A Case Study of Bilibili, Journal of Applied Science and Engineering Innovation, 2022, 9(1), 30-32.
Discussion on the Present Situation and Development Trend of the Characteristic Course System of Engineering Management at Home and Abroad
Author: Li Jinchao 1, 2, Zhu Ye 1
Author affiliation: 1. School of Economics and Management, North China Electric Power University, Beijing 102206, China.
2. Beijing Key Laboratory of New Energy and Low-Carbon Development, Beijing 102206, China.
Abstract: The Ministry of Education encourages categorized development and characteristic development in the "Notice of the General Office of the Ministry of Education on Implementing the "Double Ten Thousand Plan" for the Construction of First-class Undergraduate Majors", which makes it particularly important to develop the characteristic construction of the curriculum system as an important support for first-class undergraduates. The engineering management professional curriculum systems of domestic and foreign universities have commonalities, but also have their own characteristic directions. This paper uses the methods of investigation, comparative research and inductive analysis to explore the characteristic courses and construction reasons in the engineering management professional curriculum system of 5 domestic and international universities. Finally, combining the resource advantages and social needs of the school, it puts forward the countermeasures for the construction of the characteristic curriculum system.
Keywords: Engineering management; Undergraduate education; Curriculum system; Characteristic construction
How to Cite this Article:
. Discussion on the Present Situation and Development Trend of the Characteristic Course System of Engineering Management at Home and Abroad, Journal of Applied Science and Engineering Innovation, 2022, 9(1), 24-29.
Decoupling Relationship between Economic Growth and Carbon Emissions in China and OECD Countries
Author: Xing Zhang
Author affiliation: Department of Economic Management, North China Electric Power University, Baoding 071003, China.
Abstract: This paper compares the development course of economic growth and carbon emissions between China and OECD countries, and analyzes their decoupling relationship. The results show that China has become the world's largest carbon emitter and the second largest economy, and its carbon emission intensity is significantly higher. Most of China's provinces are in weak decoupling state, while most OECD countries have achieved strong decoupling. Hence, China's decoupling process lags behind OECD countries.
Keywords: Economic growth, Carbon emissions, Decoupling relationship
How to Cite this Article:
Xing Zhang. Decoupling Relationship between Economic Growth and Carbon Emissions in China and OECD Countries, Journal of Applied Science and Engineering Innovation, 2022, 9(1), 19-23.
The Establishment and Information Processing Analysis of A Kind of Multi-information Statistical Inference Optimization Decision Model
Author: Xiao Xiaonan
Author affiliation: Xiamen University Tan Kahkee College, Xiamen 363105, China.
Abstract: In recent years, comprehensive multi information big data statistical analysis has become one of the most challenging frontier emerging technology fields at present and in the future. Based on a brand-new thinking and new thinking, this paper comprehensively uses modern information decision-making methods such as multi-index Fuzzy dynamic cluster analysis, big data analysis and intelligent calculation to study the establishment of a type of disease diagnosis and optimization model. It provides an ideal mathematical processing method and method for the effective realization of automatic control and information management of such problems.
Keywords: Statistic inference; Information fusion; Sampling design and investigation; System optimization; Fuzzy dynamic cluster analysis; Big data; Statistical analysis
How to Cite this Article:
Xiao Xiaonan. The Establishment and Information Processing Analysis of A Kind of Multi-information Statistical Inference Optimization Decision Model, Journal of Applied Science and Engineering Innovation, 2022, 9(1), 15-18.
Research on Calculation of Coalbed Methane Resources in Pinggou Coal Mine
Author: Yue Jun 1, 2
Author affiliation: 1 China Coal Technology and Engineering Group Chongqing Research Institute, Chongqing, 400037, China
2 State Key Laboratory of the Gas Disaster Detecting Preventing and Emergency Controlling, Chongqing, 400037, China
Abstract: As one of the important energy sources in my country, the accuracy of its resource calculation directly affects the economic benefits of CBM development. In order to more accurately guide the subsequent exploitation and utilization of coalbed methane resources, combined with the data of the gas geological law of Pinggou coal mine, the calculation method of the resource quantity was analyzed, and the relatively accurate data of the coalbed methane resource quantity of the Pinggou coal mine was calculated, and the Pinggou coal mine was obtained. The total amount of coalbed methane resources in the unexploited areas of 9#, 10#, and 16# coal seams is 137.09Mm3. The research results provide the basis for the development and utilization of coalbed methane resources in Pinggou Coal Mine.
Keywords: Coalbed Methane, Resources, Development and Utilization, Volume Method
How to Cite this Article:
. Research on Calculation of Coalbed Methane Resources in Pinggou Coal Mine, Journal of Applied Science and Engineering Innovation, 2022, 9(1), 12-14.
Macro Construction of Innovation and Entrepreneurship Education Curriculum in Colleges and Universities
Author: Cheng Limin, Chen Tao
Author affiliation: Faculty of law and politics, North China Electric Power University, Baoding, 071003, China.
Abstract: There are some problems in the curriculum of innovation and entrepreneurship education in colleges and universities in China, such as the imbalance of construction and development, the uncertainty of system and goal, and the fuzziness of module and construction. The main reasons include the concept of innovation and entrepreneurship has not been fully established, the lack of top-level design in the construction of innovation and entrepreneurship curriculum, and the lack of capacity in the construction of innovation and entrepreneurship curriculum in colleges and universities. We should persist in facing the future and all students, take the cultivation of college students' innovative consciousness and the improvement of entrepreneurial ability as the fundamental goal, and take the improvement of college teachers' innovative and entrepreneurial education concept and ability as the starting point, build characteristic innovative and entrepreneurial curriculum modules, develop professional innovative and entrepreneurial curriculum, and establish multi-level curriculum modules including general courses, professional courses and practical experience courses, lay a scientific foundation for innovation and entrepreneurship education.
Keywords: Innovation and entrepreneurship, Entrepreneurial quality, Curriculum, construct
How to Cite this Article:
. Macro Construction of Innovation and Entrepreneurship Education Curriculum in Colleges and Universities, Journal of Applied Science and Engineering Innovation, 2022, 9(1), 6-11.
Application of Big Data Technology in the Heating Ventilation Air Conditioning Field
Author: Lei Chen, Xinlei Wang, Xiaokang Sheng
Author affiliation: China Academy Of Building Research, Beijing 100120, China.
Abstract: In the Internet era, people are faced with a large amount of data information in their life and work. Big data technology can help us quickly analyze the most valuable information from these massive data and reduce the classification time of cumbersome data. At present, big data technology has been widely used in all walks of life. Due to its large power, long running time and huge energy consumption, the heating ventilation air onditioning (HVAC) widely installed in modern engineering buildings is of great importance to reduce the power consumption of HVAC for the realization of building green energy saving. By adjusting the operation mode of HVAC, power consumption can be effectively reduced. The application progress of big data technology in building HVAC is briefly analyzed in order to promote the benign development of HVAC field.
Keywords: Big data technology; Heating ventilation air conditioning (HVAC); Application strategy
How to Cite this Article:
. Application of Big Data Technology in the Heating Ventilation Air Conditioning Field, Journal of Applied Science and Engineering Innovation, 2022, 9(1), 1-5.