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Study on the investment value and investment opportunity of renewable energies under the carbon trading system

Chinese Journal of Population,Resources and Environment 2016年第4期16卷 271-281页

作者： Piqin Gong Xinyang Li School of Management and Economics Beijing China School of Software and Microelectronics Peking University Beijing China

China has promised to start the national carbon trading system in *** the carbon trading system,the renewable energy projects may obtain additional benefits through the Certified Carbon Emission Reduction(CCER) *** the carbon price fluctuates along with the market conditions,such fluctuation enables the renewable power projects to acquire the rights of an option,*** may contain an even higher value due to the uncertainties in the *** making an investment decision,the renewable power companies may choose to make the investment immediately,or postpone the investment and accumulate more information to increase the return of investment;and for immediate investments,the return must be sufficient to exceed the potential value of a waiting *** study the investment in renewable power projects subject to the fluctuation of carbon price,this paper adopts the trinomial tree model of real options to estimate the net present value(NPV) and real option value(ROV) of three types of renewable power projects;according to the decision-making rules of real options to defer,all the three types of projects will exercise the option to postpone the investment *** thesis also calculates the benchmark prices of the three types of renewable projects at different times,in the two situations of having no government subsidy and having the government subsidy,so as to determine the investment opportunity of a *** benchmark price decreases gradually along with the increase of government subsidy,indicating that the government subsidy will stimulate the investment in renewable *** benchmark price also increases gradually along with the lapse of time,indicating that the uncertainty will increase together with the time span and thus requires an even higher carbon price to determine the investment *** thesis also analyzes the sensitivity of factors affecting the investment in renewable projects and draws the conclusion that the fluctuat

关键词： renewable energies trinomial tree model carbon trading fluctuation of carbon price

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From Oil to renewable energies： An Ecological Concern

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Sociology Study 2012年第7期2卷 527-539页

作者： Julieta Evangelina Sanchez Cano Juarez University of the State of Durango Mexico

The energetic sector is necessary for productive activity in the world, because energy is one of the most essential economic resources. The energy, at a social-historic level, always has been relevant for the development of any society, and as a country advanced in this field, there is an important increase of their energetic needs, in such a way that all energy supplies are considered as a national security strategy for many countries. This element, the natural resources of their own, their existence and good management are and will be the key for the coming years and decades to achieve the national security in the energetic field, economic development, and environment. This last argument has a great importance for the issues that are generated by an environmental crisis and the greenhouse effect in the world, due to the consumption of energy from oil and coal. All these justify the relevance of performing an analysis of the problems between the energy development and the environment, and both issues are presented in this paper from the economic history point of view.

关键词： Greenhouse effect sustainable development renewable energies

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Integrated energy in Germany-A critical look at the development and state of integrated energies in Germany

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Frontiers in Energy 2018年第4期12卷 493-500页

作者： Saman AMANPOUR Daniel HUCK Mark KUPRAT Harald SCHWARZ Energy Distribution and High Voltage Engineering Faculty 3Brandenburg University of Technology Cottbus-SenftenbergCottbus 03013Germany

In the face of global warming and a scarcity of resources, future energy systems are urged to undergo a major and radical transformation. The recognition of the need to embrace renewable energy technologies and to move toward decarbonization has led to significant changes in the German energy generation, consumption and infrastructure. Ambitious German national plans to decrease carbon dioxide emissions on one side, and the unpredictable and volatile nature of renewable energy sources on the other side have elevated the importance of integrated energies in recent years. The deployment of integrated technologies as a solution to interlink various infrastructures creates opportunities for increasing the reliability of energy systems, minimizing environmental impacts and maximizing the share of renewable resources. This paper discusses the role of integrated energy systems in supporting of sustainable solutions for future energy transitions. Moreover, the reinforcement of this movement with the help of different technologies will be discussed and the development of integrated energy systems in Germany will be reviewed.

关键词： integrated energy renewable energies energy transition power-to-gas power-to-heat power-to-mobility energy storage

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The future of underground spatial planning and the resulting potential risks from the point of view of mining subsidence engineering

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International Journal of Mining Science and Technology 2020年第1期30卷 93-98页

作者： Carolina Brücker Axel Preuβe Institute for Mine Surveying Mining Subsidence Engineering and Geophysics in MiningRWTH Aachen UniversityWüllnerstr.2Aachen 52062Germany

The topic of ground movements in Germany has been studied extensively in the past,especially in the field of active *** active hard coal mines in Germany were finally shut down in 2018 and lignite mining is expected to take place only until *** so-called long-term liabilities of the mine operators in Germany include,among other things,the long-term guarantee of stability and thus the monitoring of ground *** far,the economic use of underground mining in Germany was mainly the supply of raw *** the future,the underground storage of compressed air,methane or hydrogen will play an important role in renewable energy supply and climate ***,the underground storage space will become more important and the spatial planning is essential to ensure availability of safe underground openings for the various options of environmentally friendly energy ***,this renewed usage of underground openings may also bring new and sometimes unknown challenges of geomechanical *** aftermath of hard coal and lignite mining will be an increasing challenge in mining subsidence *** the other hand,new possibilities due to underground spatial planning may lead to subsidence and/or heaving of the upper surface.

关键词： Mining Surveying Underground spatial planning Mining engineering renewable energies

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Circuit breakers in HVDC systems: state-of-the-art review and future trends

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Protection and Control of Modern Power Systems 2023年第3期8卷 16-31页

作者： Erfan Taherzadeh Hamid Radmanesh Shahram Javadi G.B.Gharehpetian Department of Electrical Engineering Islamic Azad University Central Tehran BranchTehranIran Electrical Engineering Department Amirkabir University of Technology(Tehran Polytechnic)Tehran ***Iran

High voltage direct current(HVDC)systems are efficient solutions for the integration of large-scale renewable energy sources with the main power *** rapid development of the HVDC grid has resulted in a growing interest in DC circuit breakers(DCCBs).A fast and reliable circuit breaker is a necessary requirement in the development of large scale HVDC *** paper provides a comprehensive review and survey of the HVDC CBs and discusses potential research *** principles and the main features of various DCCBs are described and their merits and shortcomings are also highlighted.

关键词： DC circuit breakers(DCCBs) High voltage direct current(HVDC)system Multi-terminal HVDC(MT-HVDC) Fault current isolation renewable energies Voltage clamping

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Effect of Feature Selection on the Prediction of Direct Normal Irradiance

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Big Data Mining and Analytics 2022年第4期5卷 309-317页

作者： Mohamed Khalifa Boutahir Yousef Farhaoui Mourade Azrour Imad Zeroual Ahmad El Allaoui Faculty of Sciences and Techniques Moulay Ismail UniversityErrachidia 52000Morocco

Solar radiation is capable of producing heat,causing chemical reactions,or generating ***,the amount of solar radiation at different times of the day must be determined to design and equip all solar ***,it is necessary to have a thorough understanding of different solar radiation components,such as Direct Normal Irradiance(DNI),Diffuse Horizontal Irradiance(DHI),and Global Horizontal Irradiance(GHI).Unfortunately,measurements of solar radiation are not easily accessible for the majority of regions on the *** paper aims to develop a set of deep learning models through feature importance algorithms to predict the DNI *** proposed models are based on historical data of meteorological parameters and solar radiation properties in a specific location of the region of Errachidia,Morocco,from January 1,2017,to December 31,2019,with an interval of 60 *** findings demonstrated that feature selection approaches play a crucial role in forecasting of solar radiation accurately when compared with the available data.

关键词： machine learning deep learning feature importance renewable energies solar radiation

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DetEEktor:Mask R-CNN based neural network for energy plant identification on aerial photographs

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能源与人工智能(英文) 2021年第3期5卷 104-118页

作者： Maximilian Schulz Bilel Boughattas Frank Wendel Institute of Energy Economics and Rational Energy Use(IER) University Stuttgart70565 StuttgartGermany

Decentralized renewable energies(RE)represent one of the most important elements for future energy *** an optimal integration,a comprehensive knowledge of the installed RE systems and their characteristics is *** Germany,the’Marktstammdatenregister’(MaStR)gives access to most of this information but has significant deficits in terms of up to date data covering all installed systems,later illustrated using a ground truth data set,and completely neglects some plant types *** thermal *** address this,we developed the novel model’DetEEktor’,with which six different RE plant types can be simultaneously detected and characterized on aerial photographs by means of a Mask R convolutional neural *** first contribution of this paper,we give a detailed overview of the structure,design and data base of the ***,we contribute by demonstrating its capability to attack the lack of knowledge of existing RE systems:Dependent on the plant type,we succeed in detecting 63 to 75%of the existing *** on the ground truth use case,we reduce the number of missing photovoltaic systems in the MaStR by 44%and identify 72%of the existing solarthermal *** to a high RE share use case,we identified an estimated number of about 1,468 photovoltaic(including 18 free-field),1,063 solarthermal,6 biomass and 4 wind power plants missing in the *** conclusion,with our presented’DetEEktor’,we aim to contribute to a more detailed data basis of existing RE systems.

关键词： Instance segmentation renewable energies Convolutional neuronal networks

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Modelselection,adaptation,and combination for transfer learning in wind and photovoltaic power forecasts

Energy and AI

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Energy and AI 2023年第4期14卷 31-42页

作者： Jens Schreiber Bernhard Sick University of Kassel Wilhelmshöher Allee 7334121 KasselGermany

There is recent interest in using model hubs–a collection of pre-trained models–in computer vision *** employ a model hub,we first select a source model and then adapt the model for the target to compensate for *** still needs to be more research on model selection and adaption for renewable power *** particular,none of the related work examines different model selection and adaptation strategies for neural network ***,none of the current studies investigates the influence of available training samples and considers seasonality in the *** close these gaps by conducting the first thorough experiment for model selection and adaptation for transfer learning in renewable power forecast,adopting recent developments from the field of computer vision on 667 wind and photovoltaic parks from six *** simulate different amounts of training samples for each season to calculate informative forecast *** examine the marginal likelihood and forecast error for model selection for those ***,we study four adaption *** an extension of the current state of the art,we utilize a Bayesian linear regression for forecasting the response based on features extracted from a neural *** approach outperforms the baseline with only seven days of training data and shows that fine-tuning is not beneficial with less than three months of *** further show how combining multiple models through ensembles can significantly improve the model selection and adaptation approach such that we have a similar mean error with only 30 days of training data which is otherwise only possible with an entire year of training *** achieve a mean error of 9.8 and 14 percent for the most realistic dataset for PV and wind with only seven days of training data.

关键词： Transfer learning Time series renewable energies Temporal convolutional neural network Ensembles Wind and photovoltaic power

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Integration of buildings with third-generation photovoltaic solar cells: a review

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Clean Energy 2021年第3期5卷 505-526页

作者： Elahe Mirabi Fatemeh Akrami Abarghuie Rezvan Arazi Department of Architecture Faculty of technical and engineeringIlam UniversityIlamI.R.Iran Department of Architecture Faculty of Art and ArchitectureYazd UniversityYazdI.R.Iran Department of Chemistry Faculty of scienceYazd UniversityYazdI.R.Iran

Clean-energy technologies have been welcomed due to environmental concerns and high fossil-fuel ***,photovoltaic(PV)cells are among the most well-known technologies that are used today to integrate with ***,these cells have attracted the attention of researchers and designers,combined with the windows and facades of buildings,as solar cells that are in a typical window or facade of a building can reduce the demand for urban electricity by generating clean *** the four generations that have been industrialized in the development of solar cells,the third generation,including dye-sensitized solar cells(DSSCs)and perovskite,is used more in combination with the facades and windows of *** to the characteristics of these cells,the study of transparency,colour effect and their impact on energy consumption is *** to now,case studies have highlighted the features mentioned in the building ***,this paper aims to provide constructive information about the practical and functional features as well as the limitations of this technology,which can be used as a reference for researchers and designers.

关键词： renewable energies building-integrated photovoltaics nano-crystalline dye-sensitized solar cell semi-transparent-based perovskite solar cells energy-saving

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Modeling of Hydrogen Production in an Alkaline Electrolyser System Connected with a Solar Photovoltaic Panel or a Wind Turbine: Case Study;Douala-Cameroon

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Journal of Power and Energy Engineering 2021年第10期9卷 1-18页

作者： Eddy R. Essoumam Nkanga Didier Zeh Ndoh Ndoh Joachim Ntonda Ntonda Arnaud Nanfak Maurice Thésée Mekouebe Frédéric Lontsi Laboratory of Energy Materials Modelling and Methods National Higher Polytechnic School of Douala University of Douala* Cameroon

This article is in the field of research into the storage of renewable energy production. One of the main obstacles to the rapid development of renewable energies is the storage of the energy produced at low cost and with good efficiency. The production of hydrogen from renewable energies is a promising solution. The present work evaluates the potential of hydrogen production by electrolysis from solar photovoltaic and wind renewable energies in the city of Douala in Cameroon. The methodological approach used is based on the semi-empirical modelling approach of an alkaline electrolyser associated with the solar panel or the wind turbine. The simulation results obtained on the MATLAB/Simulink platform show that the average hydrogen production potential is estimated at 0.55 Nm3/h for a PV panel supply, which corresponds to average energy efficiency of 70%, and at 0.675 Nm3/h for a wind turbine supply, which corresponds to average energy efficiency of 84%. These results show the need to promote this technology, whose efficiency can be improved depending on the choice of site.

关键词： renewable energies Storage Electrolyser Hydrogen

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