A hybrid decision support system with golden cut and bipolar q‑ROFSs for evaluating the risk‑based strategic priorities of fintech lending for clean energy projects

In the last decade,the risk evaluation and the investment decision are among the most prominent issues of efficient project management.Especially,the innovative financial sources could have some specific risk appetite due to the increasing return of invest-ment.Hence,it is important to uncover the risk factors of fintech investments and investigate the possible impacts with an integrated approach to the strategic priorities of fintech lending.Accordingly,this study aims to analyze a unique risk set and the stra-tegic priorities of fintech lending for clean energy projects.The most important contri-butions to the literature can be listed as to construct an impact-direction map of risk-based strategic priorities for fintech lending in clean energy projects and to measure the possible influences by using a hybrid decision making system with golden cut and bipolar q-rung orthopair fuzzy sets.The extension of multi stepwise weight assessment ratio analysis(M-SWARA)is applied for weighting the risk factors of fintech lending.The extension of elimination and choice translating reality(ELECTRE)is employed for con-structing and ranking the risk-based strategic priorities for clean energy projects.In this process,data is obtained with the evaluation of three different decision makers.The main superiority of the proposed model by comparing with the previous models in the literature is that significant improvements are made to the classical SWARA method so that a new technique is created with the name of M-SWARA.Hence,the causality analysis between the criteria can also be performed in this proposed model.The find-ings demonstrate that security is the most critical risk factor for fintech lending system.Moreover,volume is found as the most critical risk-based strategy for fintech lending.In this context,fintech companies need to take some precautions to effectively manage the security risk.For this purpose,the main risks to information technologies need to be clearly identified.Next,control steps should be put for these risks to be managed properly.Furthermore,it has been determined that the most appropriate strategy to increase the success of the fintech lending system is to increase the number of financi-ers integrated into the system.Within this framework,the platform should be secure and profitable to persuade financiers.

Optimization of Electricity Purchase and Sales Strategies of Electricity Retailers under the Condition of Limited Clean Energy Consumption

In the process of my country’s energy transition,the clean energy of hydropower,wind power and photovoltaic power generation has ushered in great development,but due to the randomness and volatility of its output,it has caused a certain waste of clean energy power generation resources.Regarding the purchase and sale of electricity by electricity retailers under the condition of limited clean energy consumption,this paper establishes a quantitative model of clean energy restricted electricity fromthe perspective of power system supply and demand balance.Then it analyzes the source-charge dual uncertain factors in the electricity retailer purchasing and selling scenarios in the mid-to long-term electricity market and the day-ahead market.Through the multi-scenario analysis method,the uncertain clean energy consumption and the user’s power demand are combined to form the electricity retailer’s electricity purchase and sales scene,and the typical scene is obtained by using the hierarchical clustering algorithm.This paper establishes a electricity retailer’s risk decisionmodel for purchasing and selling electricity in themid-and long-term market and reduce-abandonment market,and takes the maximum profit expectation of the electricity retailer frompurchasing and selling electricity as the objective function.At the same time,in themediumand longterm electricity market and the day-ahead market,the electricity retailer’s purchase cost,electricity sales income,deviation assessment cost and electricity purchase and sale risk are considered.The molecular results show that electricity retailers can obtain considerable profits in the reduce-abandonment market by optimizing their own electricity purchase and sales strategies,on the premise of balancing profits and risks.

Survey of Clean Energy Industry Based on Information Analysis Method

This study was conducted to examine the worldwide interest in the clean energy industry and to make recommendations for the development of this industry. The authors conducted a survey and research using Internet open source data in informatics methods to produce relevant results to support the depth of related work. Based on the valid findings, a discussion is carried out to give suggestions for the development of the clean energy industry in China at several levels.

Stochastic programming based coordinated expansion planning of generation,transmission,demand side resources,and energy storage considering the DC transmission system

With the increasing penetration of wind and solar energies,the accompanying uncertainty that propagates in the system places higher requirements on the expansion planning of power systems.A source-grid-load-storage coordinated expansion planning model based on stochastic programming was proposed to suppress the impact of wind and solar energy fluctuations.Multiple types of system components,including demand response service entities,converter stations,DC transmission systems,cascade hydropower stations,and other traditional components,have been extensively modeled.Moreover,energy storage systems are considered to improve the accommodation level of renewable energy and alleviate the influence of intermittence.Demand-response service entities from the load side are used to reduce and move the demand during peak load periods.The uncertainties in wind,solar energy,and loads were simulated using stochastic programming.Finally,the effectiveness of the proposed model is verified through numerical simulations.

Overview of Factors Affecting Dust Deposition on Photovoltaic Cells and Cleaning Methods

Dust deposition on the surface of photovoltaic (PV) cells poses a significant challenge to their efficiency, especially in arid regions characterized by desert and semi-desert conditions. Despite the pronounced impact of dust accumulation, these regions offer optimal solar radiation and minimal cloud cover, making them ideal candidates for widespread PV cell deployment. Various surface cleaning methods exist, each employing distinct approaches. Choosing an appropriate cleaning method requires a comprehensive understanding of the mechanisms involved in both dust deposition on module surfaces and dust adhesion to PV cell surfaces. The mechanisms governing dust deposition and adhesion are complex and multifaceted, influenced by factors such as the nature and properties of the dust particles, environmental climatic conditions, characteristics of protective coatings, and the specific location of the PV installation. These factors exhibit regional variations, necessitating the implementation of diverse cleaning approaches tailored to the unique conditions of each location. The first part of this article explores the factors influencing dust deposition on PV cell surfaces, delving into the intricate interplay of environmental variables and particle characteristics. Subsequently, the second part addresses various cleaning methods, offering an analysis of their respective advantages and disadvantages. By comprehensively examining the factors influencing dust accumulation and evaluating the effectiveness of different cleaning strategies, this article aims to contribute valuable insights to the ongoing efforts to optimize the performance and longevity of photovoltaic systems in diverse geographical contexts.

Clean Processing and Utilization of Coal Energy

The dominant status of coal on the energy production and consumption structure of China will not be changed in the middle period of this century. To realize highly efficient utilization of coal,low pollution and low cost are great and impendent tasks. These difficult problems can be almost resolved through establishing large-scale pithead power stations using two-stage highly efficient dry coal-cleaning system before coal burning,which is a highly efficient,clean and economical strategy considering the current energy and environmental status of China. All these will be discussed in detail in this paper.

Strategies for development of clean energy in China

A development framework of clean energy in China is put forward based on core development strategy, technology support, and policy and laws support. In this framework, the priority development and strategic backup of clean energy are defined, and the technology support and policy and laws support are also presented.

CATALYTIC RESEARCH FOR CLEAN ENERGY AND ULTRA-CLEAN FUELS IN THE 21^(st) CENTURY Future Perspectives

本文系由大连理工大学王祥生教授 (本刊编委 )和郭新闻教授约请美国宾州大学宋春山博士撰写的“2 1世纪清洁能源和超清洁燃料催化研究的未来展望”述评。在本文中笔者系统而扼要地回顾了 2 0世纪全球能源消耗及供求的情况 ,展望了 2 1世纪催化研究面临的机遇 ,着重讨论了清洁能源 ,对催化而言应把综合和有效利用能源作为研究方向。笔者结合美国情况介绍了许多有用的统计数字 ,重点结合自己的研究工作比较全面地阐述了能源燃料工业对催化研究的需求及其机遇。它包括了清洁运输燃料、重油轻质化增产中间馏分油、制氢和燃料电池、天然气利用、天然气液化、替代燃料的发展、煤的综合利用、专用化学品的合成以及CO2 的转化和利用等。煤既作为生产清洁燃料的原料 ,又作为生产专用化学品的资源 ,把在炼油化工中已经取得卓越成果的催化技术、分子筛催化过程转移到煤化工领域 ,笔者对此提出了比较完整的方案。这些对于读者都有很大的帮助。

A hybrid heterogeneous Pythagorean fuzzy group decision modelling for crowdfunding development process pathways of fintech‑based clean energy investment projects

This study aims to evaluate the crowdfunding alternatives regarding new service development process pathways of clean energy investment projects.In this framework,a new model has been generated by considering the consensus-based group decisionmaking with incomplete preferences,Pythagorean fuzzy decision-making trial and evaluation laboratory(DEMATEL)and technique for order preference by similarity to ideal solution(TOPSIS).Moreover,a comparative evaluation has been performed with Vise Kriterijumska Optimizacija I.Kompromisno Resenje methodology and sensitivity analysis has been made by considering 4 different cases.The main contribution is to identify appropriate crowdfunding-based funding alternatives for the improvement of the clean energy investments with a novel MCDM model.By considering the iteration technique and consensus-based analysis,the missing parts in the evaluations can be completed and opposite opinion problems can be reduced.Furthermore,with the help of hybrid MCDM model by combining DEMATEL and TOPSIS,more objective results can be reached.It is concluded that the analysis results are coherent and reliable.The findings indicate that the full launch is the most significant criterion for equity and debt-based crowdfunding alternatives.On the other side,the analysis has the highest weight for reward and donation-based alternatives whereas design is the most essential item regarding the royalty-based alternative.Additionally,it is also defined that equity-based crowdfunding alternative is the most significant for the service development process of clean energy investment projects.In this way,it will be possible to provide a continuous resource for clean energy investment projects.On the other hand,by providing financing with equity,there will be no fixed financing cost for clean energy investors.If these investors make a profit,they distribute dividends with the decision of their authorized bodies.

Clean Conversion of Biomass Energy by Bio-electrochemical System

Biomass energy is an important constituent of the world＇s future sustainable energy source system, but current biomass energy conversion techniques have low efficiency and cause secondary pollution to environment easily. Bio-eleetrochemical system （BES） appeared in recent years could realize the clean efficient con- version of biomass energy, and has become a research hotspot in the biomass energy field. In this study, the research and application of BES in biomass energy con- version were overviewed, and the existing problems were analyzed.

Power Producing Preheaters—An Approach to Generate Clean Energy in Cement Plants

Demand of cement in developing countries is directly proportional to the development rate of that country. But increasing input cost of cement manufacturing, decreasing margin of profit, scarcity of raw coal availability and emission of greenhouse gases are some constraints, which restrict the growth of cement industry. Hence to combat with all these adverse situations simultaneously, this project report introduces and efforts to generate clean and green energy with the help of combination of preheater tower, which is available in all integrated cement plants and an augmented wind turbine. Hence, the technology is named as “Power Producing Preheaters” or 3P.H. Introduction of 3P.H. in cement industry, generates a definite amount of clean and green energy (as per site conditions), which is directly used in cement production to avoid grid connectivity cost of wind turbine output. Calculations are done to show the overall cost of project, its payback period and reduction in emission of greenhouse gases along with its benefits in cement industry.

Fundamental Open Questions on Engineering of “Super” Hydrogen Sorption in Graphite Nanofibers: Relevance for Clean Energy Applications

Herein, some fundamental open questions on engineering of “super” hydrogen sorption (storage) in carbonaceous nanomaterials are considered, namely: 1) on thermodynamic stability and related characteristics of some hydrogenated graphene layers nanostructures: relevance to the hydrogen storage problem;2) determination of thermodynamic characteristics of graphene hydrides;3) a treatment and interpretation of some recent STM, STS, HREELS/LEED, PES, ARPS and Raman spectroscopy data on hydrogensorbtion with epitaxial graphenes;4) on the physics of intercalation of hydrogen into surface graphene-like nanoblisters in pyrolytic graphite and epitaxial graphenes;5) on the physics of the elastic and plastic deformation of graphene walls in hydrogenated graphite nanofibers;6) on the physics of engineering of “super” hydrogen sorption (storage) in carbonaceous nanomaterials, in the light of analysis of the Rodriguez-Baker extraordinary data and some others. These fundamental open questions may be solved within several years.

State Grid Contributes to Clean Energy Development

The development of clean energy is an inevitable choice for China to achieve sustainable development.The article presents the strategic thinking and measures for the promotion of clean energy development in grids,which shows that the company will bear its responsibilities for the development as a large state-owned enterprise.

2011 IEEE International Conference on Smart Grid and Clean Energy Technologies

2011 1EEE International Conference on Smart Grid and Clean Energy Technologies （IEEE ICSGCE2011） will be held in September 27-30, 2011 in Chengdu, China. IEEE ICSGCE2011 is sponsored by International Association of Computer Science and Information Technology （IACSIT）, Journal of Electronic Science and Technology （JEST - International）, the Institute of Electrical and Electronic Engineers （IEEE）, and University of Electronic Science and Technology of China （UESTC）. The Conference is also supported by University of Wollongong （Australian） and China Energy Association （CEA）.

Call for Papers 2011 IEEE International Conference on Smart Grid and Clean Energy Technologies

2011 IEEE International Conference on Smart Grid and Clean Energy Technologies （IEEE ICSGCE2011） will be held in September 27-30, 2011 in Chengdu, China. IEEE ICSGCE2011 is sponsored by the Institute of Electrical and Electronic Engineers （IEEE）, Journal of Electronic Science and Technology （JEST - International）, and University of Electronic Science and Technology of China （UESTC）. The Conference is also supported by University of Wollongong （Australian） and China Energy Association （CEA）.

Lab Director and Division Directors,Dalian National Laboratory for Clean Energy

Dalian National Laboratory for Clean Energy （DNL）, based mainly in Dalian Institute of Chemical Physics （DICP）, Chinese Academy of Sciences （CAS）, is looking for outstanding candidates for DNL director and directors for its nine research divisions： optimized utilization of fossil energy, low carbon catalysis and engineering, energy saving ＆ energy environment, fuel cell ＆ energy storage, hydrogen energy, biomass energy, solar energy, maritime renewable energy, basic ＆ strategic studies on energy, and service center for energy researches. More details about DICP can be found at http：//www.dicp.ac.cn/.

Shandong focuses on a clean energy future

According to Shandong Development and Reform Commission, the province’s new energy industry is expected to grow at an annual average rate of 20% to reach

Countervailing Legal Remedies on China＇ s Clean Energy Industry

Clean energy and its related industries have become the focus of national competitiveness.Each country has introduced a large number of measures including subsidies in order to support the development of its clean energy industries.The WTO’s"Agreement on Subsidies and Countervailing Measures"does not expressly regulate the subsidies of clean energy,which caused the United States to request consultations with China concerning subsidies measures to enterprises manufacturing wind power equipment.China should promote green subsidies back to the SCM Agreement and build reasonable subsidy mechanism of the clean energy industry.Our government and related enterprises should apply countervailing multilateral and domestic judicial remedy procedure.

A Green Future Sino-African relations can benefit the harnessing of clean energy on the continent

The question of clean energy continues to elicit debate across the globe.Africa has been at the forefront of transitioning to clean energy,with many countries across the continent formulating policies aimed at increasing clean energy capacity within their economies.Clean energy is derived from renewable and zero-emission sources as well energy saved through energy efficiency measures.