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China’s High-Quality Economic Growth in the Process of Carbon Neutrality

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China Finance and Economic Review 2022年第4期11卷 3-22页

作者： Boqiang Lin China institute for studies in energy Policy School of ManagementXiamen University.

China has the largest energy system in the world,with fossil energy accounting for 84%.The carbon neutrality target calls for peaking carbon emissions by 2030 and achieving net zero carbon emissions by 2060.By then,the non-fossil energy will account for over 80%of China’s energy mix.Based on China’s national conditions,this paper makes scenario analysis of carbon peaking in 2030.The results of this paper indicate that the peak values of carbon emission in 2030 depends on both the development of clean energy and the growth of energy power demand.Therefore,the growth rate of the two should be balanced to control the peak carbon emission.High-quality economic growth in China in the context of carbon neutrality requires“double decoupling”,namely,decoupling GDP from the consumption of fossil energy and the growth of energy power demand as much as possible.To this end,this paper proposes a systematic solution considering both the demand and supply sides,with market-oriented measures that are workable for it.Ensuring the safe and stable supply of energy(power)is the basic principle of clean and low-carbon economic transformation,as well as a major challenge for energy system transformation.Therefore,it is necessary to develop a path for coal power decommissioning and low-carbon transformation in line with China’s national conditions.

关键词： carbon neutrality economic growth high-quality development energy system transformation

Performance Evaluation of Compressed Air energy Storage Using TRNSYS

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Journal of Electronic Science and Technology 2015年第4期13卷 361-366页

作者： R.Velraj V.Gayathri A.Thenmozhi the Institute for Energy Studies Anna University

The appreciable economic growth in some of the developing countries like India in the recent years, towards providing energy security causes large environmental impact. Renewable energy （RE） is being seen as one of the important means to meet the growing power needs of the economy while enhancing energy security and providing opportunities for mitigating greenhouse gas emissions. However, RE sources are highly intermittent in nature. The variability of these sources has led to concerns regarding the reliability of an electric grid that derives a large fraction of its energy from these sources as well as the cost of reliably integrating large amounts of variable generation into the electric grid. Hence at this juncture, it is necessary to explore the benefits of suitable energy storage technologies. Compressed air energy storage （CAES） is a commercial, utility-scale technology that provides long-duration energy storage with fast ramp rates and good part-load operation. It is a promising storage technology for balancing the large-scale penetration of renewable energies, such as wind and solar power, into electric grids. Considering the potential of CAES storage, the present work, a thermodynamic model is developed with suitable assumptions and the simulation analysis is performed using transient system simulation （TRNSYS） v17 software. The system performanee is compared by considering the recovery during the heat of compression using a thermal storage system and without considering the heat recovery. The overall turnaround efficiency of the system without considering the thermal energy storage （TES） system is 57 % and with TES system the efficiency is increased to 70%.

关键词： Compressed air energy storage solarcollector thermal energy storage.

Bicoid Signal Extraction with a Selection of Parametric and Nonparametric Signal Processing Techniques

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Genomics, Proteomics & Bioinformatics 2015年第3期13卷 183-191页

作者： Zara Ghodsi Emmanuel Sirimal Silva Hossein Hassani The Statistical Research Centre Bournemouth University institute for International energy studies (ⅡES)

The maternal segmentation coordinate gene bicoid plays a significant role during Drosophila embryogenesis. The gradient of Bicoid, the protein encoded by this gene, determines most aspects of head and thorax development. This paper seeks to explore the applicability of a variety of signal processing techniques at extracting bicoid expression signal, and whether these methods can outperform the current model. We evaluate the use of six different powerful and widely-used models representing both parametric and nonparametric signal processing techniques to determine the most efficient method for signal extraetion in bicoid. The results are evaluated using both real and simulated data. Our findings show that the Singular Spectrum Analysis technique proposed in this paper outperforms the synthesis diffusion degradation model for filtering the noisy protein profile of bicoid whilst the exponential smoothing technique was found to be the next best alternative followed by the autoregressive integrated moving average.

关键词： Bicoid Drosophila melanogaster Signal extraction Signal processing

Impact of inter-fuel substitution on energy intensity in Ghana

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Frontiers in energy 2020年第1期14卷 27-41页

作者： Boqiang LIN Hermas ABUDU School of Management China Institute for Studies in Energy PolicyCollaborative Innovation Center for Energy Economics and Energy PolicyXiamen UniversityXiamen361005China Belt and Road Research institute Xiamen UniversityXiamen361005China

energy intensity and elasticity,together with inter-fuel substitution are key issues in the current development stage of Ghana.Translog production and ridge regression are applied for studying these issues with a data range of 2000–2015.The current energy dynamics reveal the expected inverse relationship:higher energy intensity and lower elasticity with economic growth.There are evidences of energy-economic challenges:high energy cost,inefficiency and backfire rebound effect.The implications are higher energy losses in the system,more consumption of lower-quality energy together with low energy technology innovation.energy is wasted and directly not productive with economic activities.It is observed further that the higher energy intensity invariably increases CO2 emission because approximately 95%of total energy is derived from hydrocarbons and biomass.An inter-fuel substitution future scenario design was further conducted and the results were positive with growth,lower energy intensity,and improved energy efficiency.Therefore,government and energy policymakers should improve energy efficiency,cost,and productiveness.That is,they should change energy compositions and augment energy technology innovation,thus,increasing renewable share to 15%by 2026,reducing wood and charcoal by about 69%,and increasing natural gas to about 776%.energy policymakers should enhance the installation of smart energy,cloud energy solution,tokenization of energy system and storage.

关键词： energy intensity energy elasticity inter-fuel substitution prospects energy contribution Translog production approach ridge regression

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构建牢固的中俄能源战略伙伴关系（英文）

国际问题研究 2015年第5期 26-37,129页

作者：石泽 Center for International energy Strategy at China institute of International studies

Deepening energy cooperation between China and Russia in recent years is a future-oriented strategic move for the two countries. Moreover, China-Russia energy cooperation will also exert an immeasurable and far-reachi... 详细信息

关键词：战略伙伴关系俄罗斯中俄关系

Properties of boron doped ZnO films prepared by reactive sputtering method: Application to amorphous silicon thin film solar cells

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Journal of Materials Science & Technology 2020年第20期52卷 136-143页

作者： Sukanta Bose Sourav Mandal Asok K.Barua Sumita Mukhopadhyay Centre of Excellence for Green energy and Sensor Systems Indian Institute of Engineering Science and TechnologyShibpurHowrah 711103West BengalIndia Centre for energy studies Indian Institute of Technology DelhiNew Delhi 110016India

Reactive sputtered boron-doped zinc oxide(BZO) film was deposited from argon,hydrogen and boron gas mixture.The reactive sputtering technique provides us the flexibility of changing the boron concentration in the produced films by using the same intrinsic zinc oxide target.Textured surface was obtained in the as-deposited films.The surface morphology and the opto-electronic properties of the films can be controlled by simply varying the gas concentration ratio.By varying the gas concentration ratio,the best obtained resistivity ~6.51×10^-4Ω-cm,mobility ~19.05 cm^2 V^-1 s^-1 and sheet resistance ~7.23Ω/□ were obtained.At lower wavelength of light,the response of the deposited films improves with the increase of boron in the gas mixture and the overall transmission in the wavelength region 350-1100 nm of all the films are>85 %.We also fabricated amorphous silicon(a-Si) thin film solar cell on the best obtained BZO layers.The overall efficiency of the a-Si solar cell is 8.14 %,found on optimized BZO layer.

关键词： Magnetron reactive sputtering BZO Amorphous silicon Solar cells Zinc oxide(ZnO)

Climate bonds toward achieving net zero emissions and carbon neutrality:Evidence from machine learning technique

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Journal of Management Science and Engineering 2024年第1期9卷 1-15页

作者： Hermas Abudu Presley K.Wesseh Jr. Boqiang Lin College of Overseas Education Chengdu UniversityChengdu610106SichuanChina School of Management China Institute for Studies in Energy PolicyCollaborative Innovation Center for Energy Economics and Energy PolicyXiamen UniversityFujian361005China Center for African Development Strategy(CFADS) MonroviaLiberia

The Conference of the Parties(COP26 and 27)placed significant emphasis on climate financing policies with the objective of achieving net zero emissions and carbon neutrality.However,studies on the implementation of this policy proposition are limited.To address this gap in the literature,this study employs machine learning techniques,specifically natural language processing(NLP),to examine 77 climate bond(CB)policies from 32 countries within the context of climate financing.The findings indicate that“sustainability”and“carbon emissions control”are the most outlined policy objectives in these CB policies.Additionally,the study highlights that most CB funds are invested toward energy projects(i.e.,renewable,clean,and efficient initiatives).However,there has been a notable shift in the allocation of CB funds from climate-friendly energy projects to the construction sector between 2015 and 2019.This shift raises concerns about the potential redirection of funds from climate-focused investments to the real estate industry,potentially leading to the greenwashing of climate funds.Furthermore,policy sentiment analysis revealed that a minority of policies hold skeptical views on climate change,which may negatively influence climate actions.Thus,the findings highlight that the effective implementation of CB policies depends on policy goals,objectives,and sentiments.Finally,this study contributes to the literature by employing NLP techniques to understand policy sentiments in climate financing.

关键词： Climate bonds funds utilization Climate bonds policy text mining Machine learning technique Net zero emissions Policy sentiment analysis

Impact of Technological Progress and Industrial Structure Distortion on energy Intensity in China

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China Finance and Economic Review 2021年第3期10卷 25-46页

作者： Xiaobo Shen Yu Chen Boqiang Lin School of Economics Xiamen University and China Center for Energy Economics Research School of Management Xiamen University and China Institute for Studies in Energy Policy

The paper measures the industrial structure distortion(ISD)index by region in China from 1978 to 2016 using data on employment and output shares of the three industries.It also analyzes the impact of ISDs by region on energy intensity using a spatial panel model.The results show that since the reform and opening up,the ISD index by region has declined significantly,with the lowest index in the eastern region,the medium one in the central region and the highest in the western region.The estimated results of the spatial econometric model indicate that there is a significant inter-regional dependence of energy intensity in China;there is a significant indirect effect of ISD,despite no significant direct effect on energy intensity;in terms of total effect,ISD is an important factor inhibiting the decline of energy intensity.The results also unveil that higher energy prices and foreign trade are positive factors declining energy intensity,while FDI worsens energy intensity and R&D spending has no significant positive impact on curbing energy intensity.In order to reduce energy intensity,China should work to eliminate the micro cause of ISDs,promote the transfer of agricultural labor,establish a market-oriented mechanism for energy price formation,and enhance the efficiency of R&D spending.

关键词： technological progress industrial structure structural distortion energy intensity

Nudging sustainable consumption of residential energy use:A behavioral economics perspective

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工程管理前沿:英文版 2023年第3期10卷 540-545页

作者： Boqiang LIN Huanyu JIA School of Management China Institute for Studies in Energy PolicyXiamen UniversityXiamen 361005China Innovation Laboratory for Sciences and Technologies of energy Materials of Fujian Province(IKKEM) Xiamen 361005China

1 Introduction How to achieve economic development while minimizing the negative impact on the environment is the challenge faced by policy makers.CO_(2)emissions in 2022,released by the International energy Agency in March 2023,showed that global energy-related CO_(2)emissions increased by 0.9%or 321 million tons to a record high of over 36.8 billion tons in 2022.

关键词： policy energy emissions