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1
Maassen, Maria Alexandra. "Project Management in the Wind Energy Field. Case Study: Evaluation of Wind Energy Projects through the Net Present Value." Proceedings of the International Conference on Business Excellence 17, no. 1 (July 1, 2023): 80–88. http://dx.doi.org/10.2478/picbe-2023-0010.
Повний текст джерелаАнотація:
Abstract Wind energy has become one of the main sources of green energy having reached a peak of 220 GW installed wind capacity in 2020 in the European Union according to the TPA report (2021). With the expansion of wind energy installments, project management in the field also had numerous challenges in terms of estimating wind energy projects worth implementing in terms of capital and operating costs, as well as benefits. The present article presents the main method of evaluating wind energy projects, namely the net present value applied on specific costs and benefits of a wind energy installment in order to determine whether it is worth implementing or not. The paper contributes to the scientific literature by applying this method of analyzing wind energy projects before installment, a characteristic that is compulsory for project management in the field in order to adapt the project if needed in terms of costs or revenue streams.
2
Moharrampour, Mahdi, Mohammad Reza Asadi, and Heidar Abdollahian. "Future of Wind Energy in Iran." Advanced Materials Research 463-464 (February 2012): 940–44. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.940.
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The activities in field of renewable energy in Iran are focused on scientific and research aspect. And research part is aimed at reduction of capital required for exploitation of related resources. The second step is to work research results into scientific dimension of this field for practical means, i.e. establishing electricity power plants. Due to recent advancements in wind energy, many inventors in the country have become interested in investing in this type of energy. At the moment, projects assuming 130 MW of wind power plants are underway. Of which, 25 MW is operational. The project of Iran's renewable energy aims to accelerate the sustainable development of wind energy through investment and removal of barriers. This preparatory project is funded by the Global Environment Facility (GEF) and will provide for a number of international and national consultant missions and studies. Once the studies are concluded, a project to develop 25MW of wind energy in the Manjil region of Gilan (N-Iran) will be prepared. It will be consistent with the national development framework and objectives and form part of 100MW of wind-powered energy, Which is expected to be developed under the government's third 5-year national development plan. (started 21 march 2000)
3
Shahbazov, E. G. "Pilot project: Offshore Wind Park." Azerbaijan Oil Industry, no. 03 (March 15, 2023): 29–31. http://dx.doi.org/10.37474/0365-8554/2023-3-29-31.
Повний текст джерелаАнотація:
Currently, the term of “green economy” reflects one of the key directions of the mankind development globally. The perspecive of the improvement of power supply in mentioned area in Neft Dashlary, Guneshli, Bank-Absheron oil fields and Jilov island using alternative energy sources (wind generators) within the implementation of the State Program of the Republic of Azerbaijan on the development of the fuel-energy complex is studied in the scientific paper.
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Filip Mužinić and Davor Škrlec. "MODELING PROJECT RISKS IN THE DEVELOPMENT OF A WIND POWER PLANT PROJECT." Journal of Energy - Energija 56, no. 4 (November 21, 2022): 490–517. http://dx.doi.org/10.37798/2007564365.
Повний текст джерелаАнотація:
The construction of a wind power plant is a complex project that requires many years, during which time all the interested parties are exposed to numerous risks, including some with potentially devastating consequences. In this article, a methodology for modeling project risks in the development of a wind power plant project is presented, taking into account the specific circumstances in the Republic of Croatia. The applied method of risk analysis belongs to the group of probability methods that use Monte Carlo simulation analysis. The identified risks and manner of conducting qualitative and quantitative risk analysis are described in detail. Using the example of the risk analysis of a project for a 20x1 MW wind power plant, the economic criteria for decision making are explained and incorporated in a model. This risk analysis model for the wind power plant projects in the Republic of Croatia is constructed in Microsoft Excel and intended for decision makers and project developers. Although the reference case in the model is wind power plant project in Croatia, it can be adapted to any market whatsoever.
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Rolik, Yurii. "Risk Management in Implementing Wind Energy Project." Procedia Engineering 178 (2017): 278–88. http://dx.doi.org/10.1016/j.proeng.2017.01.115.
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Rakovic, Radoslav. "Vlasina wind project: Results and perspectives." Thermal Science 10, no. 4 (2006): 143–51. http://dx.doi.org/10.2298/tsci0604143r.
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This paper describes activities and main results of investigation for the Vlasina Wind Project, implemented within National Energy Efficiency Program, segment that deals with alternative and renewable energy sources. The main objective of the project was investigation of possibilities of wind energy generation in mountain areas of the Republic of Serbia. Problems of choice of location, measurement of wind energy potential, choice of type and unit size of wind turbine generators, as well as the interconnection of wind turbine generators and wind power plants to power system are considered. .
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Rosenberg, Stuart. "PSEG and the promise of wind power." CASE Journal 16, no. 1 (November 22, 2019): 51–74. http://dx.doi.org/10.1108/tcj-03-2019-0024.
Повний текст джерелаАнотація:
Theoretical basis The following theoretical concepts are applicable to the case and its learning objectives: Stakeholder Power-Interest Matrix and Carroll’s Pyramid of Corporate Social Responsibility. Research methodology Information was obtained in three separate interviews with PSEG. In February 2018, an introductory phone conference was conducted with a number of senior managers within PSEG, including the Director of Development and Strategic Issues, Kate Gerlach. In April 2018, an onsite interview was conducted with Gerlach, who connected the author with Scott Jennings. A phone interview was conducted with Scott Jennings in May 2018 and follow-up communication with him was handled via e-mail. The information obtained from these interviews was supplemented by material obtained from secondary sources. None of the information in the case has been disguised. Case overview/synopsis Scott Jennings, a Vice President at PSEG, the diversified New Jersey-based energy company, was the project leader for a large commercial wind farm that was to be built off the coast. The project, Garden State Offshore Energy, a joint venture between PSEG and Deepwater Wind, an experienced developer of offshore wind projects, had been announced over six years earlier, in late 2008. In the time that had passed, the Garden State Offshore Energy project team had waited for the New Jersey Bureau of Public Utilities, which had been tasked by Governor Chris Christie to evaluate the project costs before it could authorize the actual construction of the wind turbines. Justifying the project on a cost basis proved to be difficult; despite the growing public sentiment in favor of projects that utilized renewable energy sources such as wind power, the Garden State Offshore Energy team was unable to move the project forward. Scott needed to decide whether it made sense to continue to hold regular meetings with the Garden State Offshore Energy team. Scott’s colleagues suggested that Scott speak with senior management at PSEG to find out if the resources that had been dedicated to the Garden State Offshore Energy project could be shifted to other projects that might be more feasible. Complexity academic level This case is suitable for courses in Sustainability. It is appropriate to use the case in undergraduate courses to illustrate decision making in a regulated industry. Sufficient information is presented in the case to debate both sides of the offshore wind authorization issue.
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Li, Wei, Shi Chao Li, and Dan Wang. "Risk Evaluation of the Wind Power Project Investment Based on BP Neural Network." Advanced Materials Research 108-111 (May 2010): 256–61. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.256.
Повний текст джерелаАнотація:
With the rapid development of the society, more and more countries have been increasingly optimistic about wind power projects because of its advantages, such as non-polluting, renewable, energy-saving and emission reduction. While facing the temptation of high profit, it is necessary to assess the risks of wind power project investment scientifically. Therefore, this article combines with the risk characteristics of wind power project under the current social environment to build a evaluation index system of wind power project to evaluate the risk of wind power project based on BP neural network.
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Dierer, Silke, Tim de Paus, Francesco Durante, Erik Gregow, Bernhard Lange, Alfredo Lavagnini, Martin Strack, and Bengt Tammelin. "Predicting Wind Speed for Wind Energy; Progress of the WINDENG Project." Wind Engineering 29, no. 5 (September 2005): 393–408. http://dx.doi.org/10.1260/030952405775992616.
Повний текст джерелаАнотація:
The suitability of the computer model MM5 for predicting wind speed, and hence wind energy, is investigated by performing simulations for different geographical regions. The focus is on wind speed in the lowest 200 m of the planetary boundary layer (PBL). The dependency of the simulated wind speed on PBL parameterization and atmospheric stability is studied. The smallest deviation between measured and simulated wind speed, averaged over a three-day period, is 1% and occurs for an off-shore simulation with unstable stratification. The largest deviations of 31% and 20% occur with orographically structured terrain, stable stratification and weak synoptic forcing. The results suggest that unstable conditions are simulated with better accuracy by MM5. Changes of the PBL scheme cause wind speed variations between 9% and 40% of the average wind speed. None of the PBL schemes is clearly the best and their performance can strongly vary for different conditions. Nevertheless, the Mellor-Yamada-Janjic (ETA) and the Blackadar PBL parameterization (BLK) schemes seem to be the most suitable schemes for wind energy applications. Additionally, MM5 was successfully adapted for idealised, stationary simulations in order to calculate a wind-climatology for Sardinia using a statistical-dynamical downscaling approach.
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Orfanou, Athanasia, and Stergios Vakalis. "Wind based hybrid systems for increased RES penetration in isolated grids: The case study of Anafi (Greece)." AIMS Energy 10, no. 5 (2022): 1046–58. http://dx.doi.org/10.3934/energy.2022048.
Повний текст джерелаАнотація:
<abstract> <p>The dependence of the Non-Interconnected Islands on diesel power stations increases the cost of producing electricity in comparison to the mainland. This study focuses on the green energy transition of Interconnected Islands, and Anafi was selected as a characteristic case. The average cost of electricity production from thermal units in Anafi was estimated to be 539 €/MWh with a peak load of 0.55 MW. Two different green energy transition scenarios are proposed for Anafi that include the addition of PV panels plus a wind turbine (scenario 1) or PV panels plus a battery (scenario 2) that would operate along the conventional diesel engines and utilized the software RETScreen program for the design and the analysis of these two proposed hybrid systems. In scenario 1, the renewable systems produced 2793 MWh, while in scenario 2 this value was simulated to be 995.51 MWh. In both proposed scenarios there is a significant penetration from Renewable Energy Sources from 68.2% (scenario 2) to 90.3% (scenario 1). In addition, in both cases there is a significant reduction in carbon dioxide emissions from 80%–95% in comparison to the baseline case which produces 2543 tons of CO<sub>2</sub> annually. The cost of the proposed installations has been calculated to be 5.2 m € and 5.6 m € for scenarios 1 and 2, while the net present value (NPV) of the project becomes positive from the sixth year and the eleventh year respectively. The earnings of a green transition project of this nature can be allocated for the maintenance of the island's own project, as well as for the financing of new similar projects. on other islands. The expected result of this work is the proposal of a system that will largely cover the energy needs of the island, reduce the cost of production per kilowatt hour and will contribute to the green energy transition of the other Non-Interconnected Islands.</p> </abstract>
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Rehman, Junaid Ur, Haseen Ullah, Asfandyar Khalid, and Zeeshan Ahmad. "Socio-Economic Assessment of Mega Hydro Project and Wind Energy Project." International journal of Engineering Works 09, no. 03 (March 1, 2022): 51–56. http://dx.doi.org/10.34259/ijew.22.9035156.
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Barrows, Sarah, Kendall Mongird, Brian Naughton, and Rachid Darbali-Zamora. "Valuation of Distributed Wind in an Isolated System." Energies 14, no. 21 (October 22, 2021): 6956. http://dx.doi.org/10.3390/en14216956.
Повний текст джерелаАнотація:
Remote communities are increasingly adopting renewable energy, such as wind, as they transition away from diesel energy generation. It is important to understand the benefits and costs of wind energy to isolated systems so that decision-makers can optimize their choices in these communities. There are few examples of valuation of wind energy as a distributed resource and numerous differences in valuation approaches, especially in the inclusion of environmental and economic impacts. We apply a distributed wind valuation framework to calculate the benefits and costs of wind in St. Mary’s, Alaska, to the local electric cooperative and to society, finding that the project does not have a favorable benefit-to-cost ratio unless societal benefits are included, in which case the benefit-to-cost ratio is nearly double. Government funding is important to reducing the initial capital expenditures of this wind project and will likely be the case for projects with similar characteristics. Additional fuel savings benefits are potentially possible for this project through technological additions such as energy storage and advanced controls.
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Bastasch, Mark. "Standardizing wind turbine sound predictions." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 264, no. 1 (June 24, 2022): 679–82. http://dx.doi.org/10.3397/nc-2022-798.
Повний текст джерелаАнотація:
Permitting a new wind energy project often requires modeling of expected operational sound levels. In the United States, acoustical modeling of wind energy projects has historically relied on sound power levels based on IEC 61400-11 and the ISO 9613-2 propagation methodology. While current practice in the United States yields relatively minor differences, standardization of predictions is anticipated to result in a robust and repeatable process that increases regulatory confidence. American Clean Power (ACP) is recognized by the American National Standards Institute (ANSI) as an Accredited Standards Developer. ACP established a working group which reached consensus on a preferred method of predicting project sound levels during the siting and permitting process. The goal of this standard is to establish uniform method of predicting future projects sound levels such that pre-development sound assessment results can be readily compared. A standardized calculation method ensures calculated results are repeatable, uniform, and more easily understood by all interested parties.
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LaPatin, Michaela, Lauryn A. Spearing, Helena R. Tiedmann, Miriam Hacker, Olga Kavvada, Jean Daniélou, and Kasey M. Faust. "Controversy in wind energy construction projects: How social systems impact project performance." Energy Policy 176 (May 2023): 113507. http://dx.doi.org/10.1016/j.enpol.2023.113507.
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Ahmad, Omar K. "Using Wind energy to generate electricity and irrigating plant in Hawija District." Tikrit Journal of Engineering Sciences 23, no. 4 (December 31, 2016): 64–71. http://dx.doi.org/10.25130/tjes.23.4.07.
Повний текст джерелаАнотація:
Al-hawija district considered one of the most important agriculture regions in Iraq; it contains two big irrigation projects: Hawija irrigation project, and Kirkuk irrigation project, this research aims to study the use of wind electricity generation and irrigating agriculture areas in this region.This study showed that the wind velocity, in general, has a low speed which is not appropriate to generate electricity unless its velocity not less than 3.5 m/s at a height of 10 m and it is suitable to amount towers reach 50 m in height. The wind velocity increased in summer then slowdown in winter. June, July, and August recorded the highest in wind velocity, the study showed that wind velocity was appropriate to pump water from the wells that have little to medium depth.
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Nguyen, Van Thanh, Nguyen Hoang Hai, and Nguyen Thi Kim Lan. "Spherical Fuzzy Multicriteria Decision-Making Model for Wind Turbine Supplier Selection in a Renewable Energy Project." Energies 15, no. 3 (January 19, 2022): 713. http://dx.doi.org/10.3390/en15030713.
Повний текст джерелаАнотація:
The Vietnamese government has decided to use and promote the development of more renewable energy sources, particularly wind energy. When implementing a wind energy project, choosing a wind turbine supplier is an important decision and investors must find the optimal supplier through evaluating many qualitative and quantitative criteria that affect each other symmetrically. Therefore, the process used for selecting a wind turbine supplier in wind power projects is a multi-criteria decision-making process. Many approaches have been applied for this decision process, some of which are based on multicriteria decision-making (MCDM) methods, whether applied individually or in combination with other MCDM models. In this study, the researchers proposed a decision-making model based on spherical fuzzy sets for wind turbine supplier selection in wind power energy projects. In this paper, Vietnam is used as a case study. The recommended turbine suppliers for installations can finally be generated after the calculations in the final stage of this research. The contribution of this research is developing a fuzzy MCDM model for suitable turbine suppliers in wind power energy projects. The results of this study can be used as references for experts in deciding on a suitable wind turbine supplier in other countries as well as in other renewable energy projects.
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Xie, Yuan. "Offshore Wind Turbines Operation and Maintenance in China: A Case Study of Donghai Bridge Offshore Wind Farm." Applied Mechanics and Materials 448-453 (October 2013): 1871–74. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.1871.
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China has great potential in offshore wind energy and makes an ambitious target for offshore wind power development. Operation and Maintenance (O&M) of offshore wind turbines become more and more important for China wind industry. This study introduces the current offshore wind power projects in China. Donghai Bridge Offshore Demonstration Wind Farm (Donghai Bridge Project) is the first commercial offshore wind power project in China, which was connected to grid in June 2010. O&M of Donghai Bridge Project represent the state-of-the-art of China offshore O&M. During the past two and half years, O&M of Donghai Bridge Project has gone through three phases and stepped into a steady stage. Its believed that analysis of O&M of Donghai Bridge Project is very helpful for Chinas offshore wind power in the future.
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Somi, Sahand, Nima Gerami Seresht, and Aminah Robinson Fayek. "Framework for Risk Identification of Renewable Energy Projects Using Fuzzy Case-Based Reasoning." Sustainability 12, no. 13 (June 27, 2020): 5231. http://dx.doi.org/10.3390/su12135231.
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Construction projects are highly risk-prone due to both internal factors (e.g., organizational, contractual, project, etc.) and external factors (e.g., environmental, economic, political, etc.). Construction risks can thus have a direct or indirect impact on project objectives, such as cost, time, safety, and quality. Identification of these risks is crucial in order to fulfill project objectives. Many tools and techniques have been proposed for risk identification, including literature review, questionnaire surveys, and expert interviews. However, the majority of these approaches are highly reliant on expert knowledge or prior knowledge of the project. Therefore, the application of such tools and techniques in risk identification for renewable energy projects (e.g., wind farm and solar power plant projects) is challenging due to their novelty and the limited availability of historical data or literature. This paper addresses these challenges by introducing a new risk identification framework for renewable energy projects, which combines case-based reasoning (CBR) with fuzzy logic. CBR helps to solve problems related to novel projects (e.g., renewable energy projects) based on their similarities to existing, well-studied projects (e.g., conventional energy projects). CBR addresses the issue of data scarcity by comparing novel types of construction projects to other well-studied project types and using the similarities between these two sets of projects to solve the different problems associated with novel types of construction projects, such as risk identification of renewable energy projects. Moreover, the integration of fuzzy logic with CBR, to develop fuzzy case-based reasoning (FCBR), increases the applicability of CBR in construction by capturing the subjective uncertainty that exists in construction-related problems. The applicability of the proposed framework was tested on a case study of an onshore wind farm project. The objectives of this paper are to introduce a novel framework for risk identification of renewable energy projects and to identify the risks associated with the construction of onshore wind farm projects at the work package level. The results of this paper will help to improve the risk management of renewable energy projects during the construction phase.
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Zohrehvandi, Shakib, Mario Vanhoucke, and Mohammad Khalilzadeh. "A project buffer and resource management model in energy sector; a case study in construction of a wind farm project." International Journal of Energy Sector Management 14, no. 6 (April 21, 2020): 1123–42. http://dx.doi.org/10.1108/ijesm-10-2019-0025.
Повний текст джерелаАнотація:
Purpose This study aims to introduce an efficient project buffer and resource management (PBRM) model for project resource leveling and project buffer sizing and controlling of project buffer consumption of a wind power plant project to achieve a more realistic project duration. Design/methodology/approach The methodology of this research consists of three main phases. In the first phase of the research methodology, resource leveling is done in the project and resource conflicts of activities are identified. In the second phase, the project critical chain is determined, and the appropriate size of the project buffer is specified. In the third phase of the methodology, buffer consumption is controlled and monitored during the project implementation. After using the PBRM method, the results of this project were compared with those of the previous projects. Findings According to the obtained results, it can be concluded that using PBRM model in this wind turbine project construction, the project duration became 25 per cent shorter than the scheduled duration and also 29 per cent shorter than average duration of previous similar projects. Research limitations/implications One of the major problems with projects is that they are not completed according to schedule, and this creates time delays and losses in the implementation of projects. Today, as projects in the energy sector, especially renewable projects, are on the increase and also we are facing resource constraint in the implementation of projects, using scheduling techniques to minimize delays and obtain more realistic project duration is necessary. Practical implications This research was carried out in a wind farm project. In spite of the initial plan duration of 142 days and average duration of previous similar projects of 146 days, the project was completed in 113 days. Originality/value This paper introduces a practical project buffer and resource management model for project resource leveling, project buffer sizing and buffer consumption monitoring to reach a more realistic schedule in energy sector. This study adds to the literature by proposing the PBRM model in renewable energy sector.
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Onea, Florin, and Liliana Rusu. "A Study on the Wind Energy Potential in the Romanian Coastal Environment." Journal of Marine Science and Engineering 7, no. 5 (May 13, 2019): 142. http://dx.doi.org/10.3390/jmse7050142.
Повний текст джерелаАнотація:
At the European level, offshore wind projects are already considered a competitive market. Nevertheless, this is not yet the case of the enclosed sea basins, such as the Black Sea, where no offshore wind farm is operating at this moment. From this perspective, the objective of the present work is to identify the most suitable sites where a wind project can be developed in the Romanian coastal areas. Various parameters, such as wind speed, water depth, distance to shore, and turbine performance, are considered. A picture of the local wind characteristics is first provided considering 20 years of reanalysis data, which cover the time interval from January 1998 to December 2017. The results indicated that the best sites to implement a wind project are located in the northern sector of the Black Sea, close to the Danube Delta. It was also noticed an important variation of the wind speed between onshore and 20 km offshore, for which an increase of about 55% was estimated.
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Zhao, Suyan, Xiaopai Su, Jiahui Li, Guibin Suo, and Xiaoxuan Meng. "Research on Wind Power Project Risk Management Based on Structural Equation and Catastrophe Theory." Sustainability 15, no. 8 (April 13, 2023): 6622. http://dx.doi.org/10.3390/su15086622.
Повний текст джерелаАнотація:
Wind power projects are a crucial step towards achieving the objectives of “carbon neutrality” and “carbon peak” because they can improve the energy crisis and contribute towards environmental pollution reduction. However, the risks of wind power projects cannot be ignored, and the success of the design phase can affect the risks and benefits of wind power projects throughout their life cycle. This paper first proposes causality hypotheses for four types of risk factors in wind power projects: policy, economy, technology, and construction. It constructs a structural equation model for wind power project risk factors and then tests and modifies the model. Then, based on the latent variables of policy, economy, technology, and construction, and the relevant explicit variables, the risk index evaluation system of the wind power project design phase is constructed. The risk assessment catastrophe model of wind power projects is further established, and it is used to evaluate the risk of the K wind power project in the design phase. The risk assessment can identify the overall risk and main risk sources in wind power projects in the design phase and provide countermeasures for effectively controlling risks in wind power projects in China.
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Luka Lugarić, Slavko Krajcar, and Ante Čurković. "RISK ANALYSIS METHODOLOGIES FOR THE FINANCIAL EVALUATION OF WIND ENERGY POWER GENERATION PROJECTS." Journal of Energy - Energija 56, no. 3 (November 21, 2022): 346–73. http://dx.doi.org/10.37798/2007563360.
Повний текст джерелаАнотація:
Pursuant to European legislative and energetics trends, Croatia must significantly increase the number of renewable energy sources in the electrical energy system. Wind power plants are among the most attractive on the market. Since the European experiences of the development, construction and utilization of power plants predominantly employ the project financing model, it is necessary to establish a framework for the analysis of the financial profitability of investments in the construction of a wind power plant. Moreover, in order to increase the security of such investments, a rapid and efficient system is required for the analysis of the investment risks of the project in order to reduce them on the planning or acceptable economic levels. With these goals, a model for the financial evaluation of wind energy power generation projects is presented, together with the elements of the risk analysis employed. The data used are from a project for a wind power plant with a power rating of 18 MW, which is planned for construction on the territory of Zadar County in the environs of Benkovac. In cases where there are no reference documents for Croatia, data and experiences from European projects are used.
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KAYA SAMUT, Pınar. "INTEGRATED FANP-F-MIGP MODEL FOR SUPPLIER SELECTION IN THE RENEWABLE ENERGY SECTOR." Journal of Business Economics and Management 18, no. 3 (June 16, 2017): 427–50. http://dx.doi.org/10.3846/16111699.2017.1325777.
Повний текст джерелаАнотація:
The available integrated models for choosing efficient suppliers developed so far are mostly specific to companies with mass production capabilities. However, in some sectors involved in project-type manufacturing, the same decision-making criteria cannot be applied and, plus, there is no point in determining the quantity of orders. For instance, in wind power plant projects, a single turbine supplier needs to be selected for each project. This study proposes an integrated FANP-f-MIGP model that ensures the selection of the optimal supplier for each project by applying the model to an energy firm. The criteria specific to the selection of wind power plant turbine suppliers are established, and the criteria weights are obtained by fuzzy analytic network process (FANP). As a result of the analysis, the most important criterion of all is cost. These weights constitute the coefficients of the f-MIGP model’s objective function. Under the defined constraints, by minimizing cost and risk and maximizing quality and services of the firm, the selection of an optimal wind turbine supplier from three suppliers for each of three projects is ensured. This study contributes to the literature both by the specific criteria it establishes and its proposed integrated model which allows for the selection of the best supplier in wind turbine and similar project-based productions.
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Qafleshi, Mevlan, Driton R. Kryeziu, and Lulezime Aliko. "Potential of Wind Energy in Albania and Kosovo: Equity Payback and GHG Reduction of Wind Turbine Installation." International Journal of Renewable Energy Development 4, no. 1 (February 15, 2015): 11–19. http://dx.doi.org/10.14710/ijred.4.1.11-19.
Повний текст джерелаАнотація:
The energy generation in Albania is completely from the hydropower plants. In terms of GHG emissions this is 100% green. In Kosovo 97% of energy is generated from lignite fired power plants. Apart the energy generation, the combustion process emits around 8000 ktCO2/yr and 1.5 Mt of ash in the form of fly and bottom ash. In both countries there is no MWh power generated from wind energy, i.e. this energy source is not utilized. Here, a proposed project for five locations in Albania and Kosovo has been analyzed in detail with the aim of installing a 1kW wind turbine off-grid. The method of study is based on the application of RETScreen International program software. This proposed model is intended to replace a base case- a diesel generator with installed capacity 7kW. The locations are selected three in Albania: Vlora, Korça and Elbasan, and two in Kosovo: Prishtina and Prizren. All are in different altitudes. By the calculation of RETScreen program, it has been analyzed the feasibility of the proposed projects by installing a wind turbine at hub’s height 20m. The climate data for each location were retrieved by the RETScreen program from NASA. Generally, the calculation of financial parameters for the investments came out to be positive, the impact of GHG reduction very significant. A 5500 USD investment for the implementation of proposed case showed an equity payback time of 2-3 yrs and GHG reduction of 2.2 tCO2/yr. The electricity delivery to load only from this 1 KW wind turbine resulted to be between 1.6-17 MWh/yr.
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Onea, Florin, and Eugen Rusu. "An Assessment of Wind Energy Potential in the Caspian Sea." Energies 12, no. 13 (July 1, 2019): 2525. http://dx.doi.org/10.3390/en12132525.
Повний текст джерелаАнотація:
At this time, there are plans to develop offshore wind projects in the Caspian Sea. The aim of the present work was to estimate the possible benefits coming from such a project. As a first step, the wind profile of this region was established by considering reanalysis data coming from the ERA-Interim project, the time interval covered being between January 1999 and December 2018. According to these results, significant resources have been noticed in the northern part where the wind speed frequently reached 8 m/s, being identified also as a hot-spot south of Olya site. In the second part, the performances of some offshore wind turbines were established. These were defined by rated capacities ranging from 3 MW to 8.8 MW. The downtime period of some generators can reach 90% in the central and southern sectors, while for the capacity factor, the authors expected a maximum of 33.07% for a turbine rated at 4.2 MW. From a financial point of view, the values of the levelized cost of energy (LCOE) indicated that the sites from the north and central parts of the Caspian Sea have been defined by an average LCOE of 0.25 USD/kWh. Thus, they can represent viable locations for wind farm projects.
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Rudenko, Nikolay, and Valery Ershov. "The use of green energy for energy conservation in high-rise buildings." E3S Web of Conferences 164 (2020): 01023. http://dx.doi.org/10.1051/e3sconf/202016401023.
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The article discusses technical proposals for energy saving in high-rise buildings based on the use of “green” energy. These include: the use of hybrid wind and solar power plants and vortex wind-driven power plants with a vertical axis to utilize both the energy of horizontal wind flows at height level and the energy of ascending airflows. The general principles of building hybrid wind and solar power plants for energy conservation in high-rise buildings are set forth based on the analysis of prior art. These include the following: to ensure safe operation and the absence of tele-interruptions, it is advisable to close the wind turbines with a dome design that has a cavity that captures the wind flow; to ensure environmental friendliness and ease of management, it is advisable to use a variety of vertical vortex wind turbines of modular design; for efficient use of solar energy, it is advisable to integrate photovoltaic cells into the outer structure of the dome; To reduce the cost of the project, it is advisable to use the existing high-rise buildings. A vortex wind power installation is proposed, which allows the use of small winds and low-potential thermal flows, to reduce low-frequency vibration, to increase the stability and efficiency of use of wind energy with ease of installation, maintenance and repair.
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Fera, M., R. Iannone, R. Macchiaroli, S. Miranda, and M. M. Schiraldi. "Project appraisal for small and medium size wind energy installation: The Italian wind energy policy effects." Energy Policy 74 (November 2014): 621–31. http://dx.doi.org/10.1016/j.enpol.2014.07.012.
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Pristiandaru, Danur Lambang, and Nugroho Agung Pambudi. "Wind Energy in Indonesia." Indonesian Journal of Energy 2, no. 2 (August 30, 2019): 65–73. http://dx.doi.org/10.33116/ije.v2i2.37.
Повний текст джерелаАнотація:
Like many countries, an increase in population and economic growth has made Indonesia’s energy demands significantly raise. By 2050, Indonesia hopes to have 31% of its energy supply met by tapping on renewable energy, like the wind which can yield up to 16.7% of the power. However, the development of wind energy in Indonesia is still low. One underlying reason is the average speed of wind in Indonesia quite low, making it very difficult to produce energy on a large scale. Many of Indonesia’s current wind energy systems installed in remote locations, often as part of a development or research project in stand-alone or hybrid systems. These partly caused by a lack of confidence in wind power and not being sure of where could be the best locations for wind plants. This paper studies the status of wind energy in Indonesia, the challenges that it faces and future policies.Keywords: wind energy, Indonesia, potential, future policy
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Wu, Yun Na, and Xin Li Xiao. "A Method with Energy Saving for Investment Decision of Wind Power Project Based on TOPSIS." Advanced Materials Research 886 (January 2014): 473–77. http://dx.doi.org/10.4028/www.scientific.net/amr.886.473.
Повний текст джерелаАнотація:
Siting of wind power projects is a problem which needs solving during the decision-making stage, so taking full consideration of all the factors is an important prerequisite for making decisions. On the basis of full consideration of various factors in wind power projects, AHP is applied to determine the index weight and TOPSIS for project selection. With these methods, a result of better accuracy and prediction is obtained. In the meantime, the method proves effective and feasible, expecting to provide a reference method for program selection of wind power construction.
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Shafer, Bruce. "Mojave Plant Wind Project." IEEE Industry Applications Magazine 16, no. 3 (May 2010): 50–55. http://dx.doi.org/10.1109/mias.2010.936116.
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Mirkheshti, Sayed Amir Hamzeh, and Majid Feshari. "Qualitative and Quantitative Analysis of Off-Shore Wind Energy Project’s Risks." Journal of Energy 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/4205083.
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The benefits of wind power can solve the issue of growing power consumption with insufficient distribution facilities. Based on an extensive research on more than 20 studies, this study explores the risks associated with off-shore wind energy in Persian Gulf in Iran. This paper tries to identify the risks in related off-shore wind energy project, in order to specify which variables have the most impact on project by qualitative analysis through application of the impact and the possibility of every risk. A survey was conducted in order to determine the relative importance of variables and risks. Certain key components in completion of the project should be taken into account such as technology, research team, expert teams (personnel that have a good knowledge of this industry), and choosing the right spot where the wind farms will be located. The objective of this paper is to present the variables encountered in wind power project and to highlight the risks that must be controlled by the project developers, project team, supply chain actors, manufacturers, and all the stockholders involved in successful completion of a project.
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Etkin, Dagmar Schmidt. "OIL SPILL RISK ANALYSIS FOR CAPE WIND ENERGY PROJECT." International Oil Spill Conference Proceedings 2008, no. 1 (May 1, 2008): 571–79. http://dx.doi.org/10.7901/2169-3358-2008-1-571.
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ABSTRACT The oil spill risk associated with an offshore wind farm was analyzed. This paper describes the methodology employed to determine the probability that a spill would occur, as well as the size probability distribution of potential spills, including worst-case discharge scenarios from the facility. Spills from vessels transiting surrounding waters due to collisions, allisions, and groundings were also evaluated. The analysis involved: evaluating events that might cause damage to the electric service platform (ESP) and wind turbine generators (WTG) components of the wind farm; analysis of the probability of each of these events occurring; analysis of the probability that these events cause damage to the ESP/WTGs; and estimation of the probability of the events causing damage sufficient to cause an oil spill. Data were aggregated for all spill causes to determine the overall probability distribution function of spill volumes. Probability size distributions for all spill causes were coupled with the probability of spill occurrence to provide an overall function to predict the probability of a particular spill of a certain volume occurring over 5, 10, and 30 years.
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Florescu, Ana Maria Smaranda, Georgeta Bandoc, and Mircea Degeratu. "Energy Efficiency Evaluation of Wind Energy Based on Energy Reports." Advanced Materials Research 1008-1009 (August 2014): 188–91. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.188.
Повний текст джерелаАнотація:
Harnessing wind energy for power generation involves first achieving a preliminary study to understand the wind characteristics for the chosen location. In this way, the results are useful for understanding performace of an project that is connected with wind energy. The purpose of this article is to determine global estimates and different energy reports (ER). This is necessary because we do not always have a lots of meteorological datas. For the determination of these reports (ER) it used different kinds of energies calculated for a period of six years, hourly, daily and monthly data. Therfor, it was calculated the energy monthly, seasonally and annually report between monthly energy calculated with daily wind date and monthly energy calculated with instantaneous wind date (R m, Z/I); energy monthly, seasonally and annually report between monthly energy calculated with monthly wind date and monthly energy calculated with instantaneous wind date (R m, L/I); energy monthly, seasonally and annually report between monthly energy calculated with instantaneous wind date and monthly energy Betz (R m, I/B). All these reports were determined for a certain family of wind turbines used for a functional home using wind and solar energy. From the obtained results that are quite significant differences between seasonal and annual energy reports values determined with different types of energy.
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Łaguna, Teresa Maria, and Aleksander Wasiuta. "Wind Powers Stations and Market Valuation." Olsztyn Economic Journal 8, no. 4 (December 31, 2013): 361–71. http://dx.doi.org/10.31648/oej.3353.
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This study presents the results of research on the market valuation of wind power stations. The valuation of wind power station projects is an individualized process and there is a growing need for systematization of the valuation theory of wind power stations as specific structures. This will enable reliable reflection of their value at each stage of the investment process, possibly due to consideration for value standards sought by different entities interested in valuation. The theoretical part presents the conditions of the development of the analysed energy sector in Poland and provides the different value categories found in valuation practice, both during project implementation and after power plant start-up. Variation in wind power station project implementation phases was then indicated, recommending the discounted cash flow method as a universal valuation tool for each stage of the project life cycle.
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Wilczak, James, Cathy Finley, Jeff Freedman, Joel Cline, Laura Bianco, Joseph Olson, Irina Djalalova, et al. "The Wind Forecast Improvement Project (WFIP): A Public–Private Partnership Addressing Wind Energy Forecast Needs." Bulletin of the American Meteorological Society 96, no. 10 (October 1, 2015): 1699–718. http://dx.doi.org/10.1175/bams-d-14-00107.1.
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Abstract The Wind Forecast Improvement Project (WFIP) is a public–private research program, the goal of which is to improve the accuracy of short-term (0–6 h) wind power forecasts for the wind energy industry. WFIP was sponsored by the U.S. Department of Energy (DOE), with partners that included the National Oceanic and Atmospheric Administration (NOAA), private forecasting companies (WindLogics and AWS Truepower), DOE national laboratories, grid operators, and universities. WFIP employed two avenues for improving wind power forecasts: first, through the collection of special observations to be assimilated into forecast models and, second, by upgrading NWP forecast models and ensembles. The new observations were collected during concurrent year-long field campaigns in two high wind energy resource areas of the United States (the upper Great Plains and Texas) and included 12 wind profiling radars, 12 sodars, several lidars and surface flux stations, 184 instrumented tall towers, and over 400 nacelle anemometers. Results demonstrate that a substantial reduction (12%–5% for forecast hours 1–12) in power RMSE was achieved from the combination of improved numerical weather prediction models and assimilation of new observations, equivalent to the previous decade’s worth of improvements found for low-level winds in NOAA/National Weather Service (NWS) operational weather forecast models. Data-denial experiments run over select periods of time demonstrate that up to a 6% improvement came from the new observations. Ensemble forecasts developed by the private sector partners also produced significant improvements in power production and ramp prediction. Based on the success of WFIP, DOE is planning follow-on field programs.
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Ratner, S. V. "Assessing the effectiveness of renewable energy sector support mechanisms." Finance and Credit 26, no. 6 (June 29, 2020): 1392–413. http://dx.doi.org/10.24891/fc.26.6.1392.
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Subject. This article discusses the effectiveness of government programmes to support renewable energy and whether they should continue to be implemented. Objectives. The article aims to conduct a comprehensive analysis of the changes in solar and wind power projects under the State support programme within the period from 2014 to 2019 and assess the effectiveness of the acting incentive mechanisms. Methods. For the study, I used the Learning-by-Doing theory and Project Management principles and methods. Results. The article proposes to consider the local content of the projects implemented as the key effectiveness indicator of the renewable energy support programme in Russia. For solar projects, this figure is currently significantly higher than the planned one, and it corresponds to the planned one for wind projects. In general, therefore, the programme can be considered effective. Conclusions. Further improvements in renewable energy support mechanisms should take into account the need to drastically increase the pace of training in the full cycle of the renewable energy project, including the operation phase of generating equipment and the supply of electricity to the grid.
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Khambalkar, V. P., D. S. Karale, and S. R. Gadge. "Performance evaluation of a 2 MW wind power project." Journal of Energy in Southern Africa 17, no. 4 (November 1, 2006): 70–75. http://dx.doi.org/10.17159/2413-3051/2006/v17i4a3232.
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This work is the analysis of the energy generation of a 2 MW wind power project installed at Motha, District Amaravati, in the state of Maharashtra. The various availabilities of the wind power project were studied for the efficient energy production of the project. It was observed that 92.72 percent of the system was available for energy generation throughout the year. The energy generation data with the various shutdowns of the system was studied. The energy generation of the system was studied in terms of the plant load factor or the capacity factor. Capacity factor was observed to be 21.16 percent with the total energy generation unit being 3.73 MWh.
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Westwood, Adam. "Danish wind project to take eons." Renewable Energy Focus 9, no. 2 (March 2008): 22–23. http://dx.doi.org/10.1016/s1471-0846(08)70056-8.
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Reboita, MS, RS Kiani, S. Ali, and T. Khan. "Projections of wind power density in Pakistan and adjacent regions." Climate Research 85 (December 16, 2021): 177–92. http://dx.doi.org/10.3354/cr01679.
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This work focuses on the wind energy in Pakistan projected by 3 regional climate models (RCMs), namely COSMO-CLM, REMO and RegCM4, nested in different global climate models from the Coupled Model Intercomparison Project 5. Five time-slices (1995-2014, 2020-�2039, 2040-2059, 2060-2079 and 2080-2099) and 2 scenarios (RCP2.6 and RCP8.5) were analyzed. Wind energy studies are based on 2 variables: wind intensity and wind power density (WPD). WPD is a measure of the wind energy produced by turbines installed above the surface, currently at 100 m height. Before computing WPD, a simple bias correction was applied to the model data. Considering all of Pakistan, wind intensity was higher in June, July and August due to the influence of the active phase of the monsoon. In terms of subdomains, higher intense winds were reported in the provinces of Balochistan and Sindh. For the same regions and season, the wind intensity is projected to increase (by ~1-1.5 m s-1), which leads to an increase in WPD of >20% in Bolachistan and 40% in Sindh under RCP8.5. We also project an increase in WPD in the eastern part of the country, but it will not be enough for wind energy generation. Our research findings can be useful for entrepreneur investors in wind energy.
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Rusu, Eugen, and Florin Onea. "Wind and wave energy resource of Germany reported by ERA-Interim reanalysis data." E3S Web of Conferences 122 (2019): 04003. http://dx.doi.org/10.1051/e3sconf/201912204003.
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The aim of this work is to identify the most suitable offshore wind farms from Germany that present relevant wave conditions, suitable for the development of a wave energy project. By using the ERA-Interim data (wind and waves) reported for the time interval from 1999 and 2018, was possible to identify the more important areas, by taking also into account the seasonal distributions. Several wave energy converters were considered for assessment, for which a capacity factor located between 2.5% and 14% was reported, better results being accounted by the Seabased system (rated at 15 kW). Finally, we canconcluded that the North Sea represent an important area in terms of the marine energy and since at this moment there are operational wave projects, this will represent a suitable area for the development of a mixed wind-wave project.
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Gunter, CDR Tim. "Potential Impacts from a Worst Case Discharge from an United States Offshore Wind Farm." International Oil Spill Conference Proceedings 2014, no. 1 (May 1, 2014): 869–77. http://dx.doi.org/10.7901/2169-3358-2014.1.869.
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ABSTRACT The main purpose of this research is to explore potential environmental impacts of a worst case discharge (WCD) from an offshore commercial wind farm electric service platform (ESP) in the Northeast United States. Wind farms in the continental United States are a growing industry as an energy alternative to traditional oil, coal, and natural gas energy sources. While many offshore wind farms already exist in Europe and around the world, the Cape Wind Project in New England received the first federally approved lease for an offshore wind energy production facility in the United States. While offshore wind energy is a green source of energy, wind driven energy has its own set of environmental risks, including the risks of an oil spill. A systematic review of scholarly journals, federal government websites and other academic resources was conducted to identify previous spills in the Northeast with the closest match in volume and location to the Cape Wind Project. The oil spills from the barge North Cape in 1996 near Point Judith, Rhode Island and from the barge Florida in Buzzards Bay, Massachusetts, in 1996, had the most similarities to a potential WCD spill from the Cape Wind Project. Both of these spills adversely impacted the environment, and provide useful information that can be used for the planning efforts surrounding a WCD event from the Cape Wind Project.
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Khorgade, Shubham, Apeksha Wankhede, Akhil Gajbhiye, Ankit Ramteke, Sarangkumar P. Wath, and Yashwant Sarpate. "Integrated Energy Creation Using Wind Energy and Solar Energy." Journal of Thermal Energy Systems 8, no. 2 (May 23, 2023): 1–8. http://dx.doi.org/10.46610/jotes.2023.v08i02.001.
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Electricity is one of the most important things for our daily lives in today's technology-driven environment. We are all unaware of the reality that renewable energy sources are exhausting at a breakneck pace. So it's time to switch our attention from conventional to unconventional energy sources to generate electricity. When compared to traditional sources, non-conventional sources produce less electricity overall. The environment is not harmed by the use of renewable resources. In essence, a solar-wind hybrid system combines a solar energy plant with a wind energy plant. It will contribute to ensuring a steady supply of power. The hybrid system can be applied to both household and commercial settings. Solar-wind hybrid structures are essentially a combination of wind and sun power flowers. The main rotor shaft of horizontal-axis wind turbines (HAWTs) is a particular design of wind turbines. One benefit of this configuration is that solar panels and generators can both be installed near the ground, creating a hybrid system. This electricity can be used for a variety of things. At a reasonable price, electricity will be generated. The goal of this project is to generate electricity from two sources simultaneously at a low cost without endangering the delicate balance of nature.
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Gkalonaki, S., and K. Karatzas. "Assessing the environmental impacts of renewable energy sources with emphasis on wind energy." IOP Conference Series: Earth and Environmental Science 1123, no. 1 (December 1, 2022): 012053. http://dx.doi.org/10.1088/1755-1315/1123/1/012053.
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Abstract Renewable energy (RE) technologies have become particularly popular worldwide, so as to mitigate climate change and to support addressing contemporary international energy market challenges. However, relevant projects may impact both the environment and humans. This study is based on a literature review of the environmental effects of RE projects. Wind energy, hydropower, solar energy and geothermal energy are the most common renewable energy sources. This review analyses environmental impact related data from, mainly, European countries, taking into account their commonality in Greece, considering relevant publications, articles, reports and papers with a time span of twenty-five years. This review’s main objective is to identify and organize the environmental impacts during the different phases of a RE project, which are the pre-construction phase, the construction phase, the operation phase, the upgrade phase and the decommissioning phase. The environmental components used for an environmental impact assessment and the different receptor groups of each impact were taken into consideration, to properly map the environmental impacts. The study covers the natural and man-made environment affected by RE projects and emphasizes on wind energy projects. Main research gaps are highlighted, and future research steps are proposed.
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Delagrammatikas, Georgios, and Spyridon Roukanas. "Offshore Wind Farm in the Southeast Aegean Sea and Energy Security." Energies 16, no. 13 (July 6, 2023): 5208. http://dx.doi.org/10.3390/en16135208.
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This paper deals with the creation, in realistic terms, of an offshore wind farm between the Greek islands of Karpathos and Kassos in the Dodecanese complex. In this context, the terms and conditions for the possible existence of an offshore wind park in Greece are analyzed; the technical components of such a project are described; the offshore wind farm, which was designed by the authors, is presented in detail; and the location selected for its installation is assessed. Moreover, the benefits for the islands of Karpathos and Kassos and for the Greek State, as well as financial data adapted to this specific offshore wind farm and SWOT analysis for the two phases of the project, are presented. The authors conclude that an investment in this project would be viable in economic terms and feasible, despite it being a small-scale project.
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Gao, Xing Qiang, and Wei Jun He. "Analysis of Low-Carbon Economic Benefits of Wind Power Projects in Yunnan Province." Advanced Materials Research 591-593 (November 2012): 2432–36. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.2432.
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Proceeding from the perspective of a low carbon economy, the author defined the concept of "Low-carbon Economic Benefits (LEB)" for the ground-breaking in the context of energy shortage and environmental damage. Through the establishment of narrow analysis model, the author first calculated the energy saving benefits of all planning wind power development projects in Yunnan Province. Taking into account the other social and economic effects of the wind power development projects, the author summed up the broad, low-carbon economic calculation model. A planning wind farm project in Yunnan Province as an example, the author estimated its energy saving benefits of a single wind power development projects. For generalized computing model, however, some indicators can not be quantified, and there is great uncertainty. This is worthy of the author to do further research.
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Raut, Ankita. "Solar PV-Wind Hybrid Energy Generation System." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3593–97. http://dx.doi.org/10.22214/ijraset.2021.35733.
Повний текст джерелаАнотація:
Renewable energy systems area unit seemingly to become wide spread within the future thanks to adverse environmental impacts and step-up in energy prices connected with the exercise of established energy sources. Solar and wind energy resources area unit various to every different which can have the particular potential to satisfy the load quandary to a point. However, such solutions any time researched severally aren't entirely trustworthy thanks to their impact of unstable nature. During this perspective, autonomous electrical phenomenon and wind hybrid energy systems are found to be a lot of economically viable various to meet the energy demands of diverse isolated shoppers worldwide. Conservation of energy is extremely traditional these days however management of energy is extremely essential issue to figure on the idea of change to energy generation devices for continuous provide of dc storage conjointly demand of electricity is increasing day by day however accessible wattage plants aren't ready to provide electricity as per the strain wants. The main objective of the project is to supply a framework for promotion of enormous grid connected wind - solar PV hybrid system for optimum and economical utilization of transmission infrastructure and land. Project conjointly aims to encourage new technologies, ways and way-outs involving military operation of wind and solar PV plants. Battery storage could also be other to the hybrid project to cut back the variability of output power from wind solar hybrid plant, for providing higher energy output for a given capability at delivery purpose, by putting in further capability of wind and solar energy in an exceedingly wind solar hybrid plant and making certain handiness of firm power for a specific amount.
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O'Neal, Robert, Mark Bastasch, and Clint Cyr. "Verification of sound modeling results for a wind energy project." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 264, no. 1 (June 24, 2022): 787–94. http://dx.doi.org/10.3397/nc-2022-810.
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As part of a state-level approval process for a wind farm retrofit, both pre-construction sound level modeling, and a post-construction sound level measurement program were developed and executed. The results of the detailed sound level modeling analysis found that low noise blades were required on some wind turbines to meet the sound level limits at the closest residences. Several scenarios were modeled in order to determine which locations required the low noise blades. Following the retrofit, continuous operational sound level measurements were collected over two weeks at some of the closest residences to the wind turbines. The results of the monitoring program showed that sound levels from the turbines were in compliance with the state sound limits, and in very good agreement with the pre-construction sound level modeling.
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Jamieson, P. M., and A. Jaffrey. "Advanced Wind Turbine Design." Journal of Solar Energy Engineering 119, no. 4 (November 1, 1997): 315–20. http://dx.doi.org/10.1115/1.2888039.
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Garrad Hassan have a project in progress funded by the U.K. Department of Trade & Industry (DTI) to assess the prospects and Cost benefits of advanced wind turbine design. In the course of this work, a new concept, the coned rotor design, has been developed. This enables a wind turbine system to operate in effect with variable rotor diameter augmenting energy capture in light winds and shedding loads in storm conditions. Comparisons with conventional design suggest that a major benefit in reduced cost of wind-generated electricity may be possible.
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Tyagi, Subhi, Akshay Kumar, Ashok Bhandari, and Mangey Ram. "Signature reliability evaluation of renewable energy system." Yugoslav Journal of Operations Research 31, no. 2 (2021): 193–206. http://dx.doi.org/10.2298/yjor200118039t.
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In this paper, a real-life renewable energy-based system is considered and the reliability function of this system is evaluated with the help of Universal Generating Function technique.The renewable energy-based system is considered from the project in Germany where the wind turbine and hydro power plant are combined. In this project the wind turbines are the world?s tallest wind turbines of about 584 feet and one reservoir have the capacity of 1.6 million gallons of water. The wind turbines are set at the top of the hills and the reservoirs are allowed to be filled with river water. This paper presents a renewable energy-based system where the wind turbine and hydro power plant are combined together to produce electricity in bulk. Universal generating function technique is used to obtain the reliability function of the proposed system. Also tail signature, signature, expected cost rate, expected lifetime, and Barlow-Proschan Index are estimated.
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Chauhan, Ayushmaan, Rajat Kukreti, Dr Sandeep Sharma, Antriksha Chandra, and Naman Vashishtha. "PREDICTIVE ANALYSIS OF WIND POWER GENERATIONUSING MACHINE LEARNING." International Journal of Engineering Applied Sciences and Technology 7, no. 8 (December 1, 2022): 135–38. http://dx.doi.org/10.33564/ijeast.2022.v07i08.015.
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The proposed aim of project predictive analysis of wind power generation using Machine learning is to reduce the cost, provide cleaner and eco friendly source of energy and increase the efficiency of existing systems to greater extent by calculative analysis [1]. As the world is progressing towards renewable and clean energy it is an interdisciplinary research model that is designed to find an optimal way of harnessing wind energy via machine learning models. It is a viable option for Governments and Companies around the world which will help them to set up Wind Energy Plants at appropriate locations for maximizing the output power generation by prediction from the Machine Learning model. The experience obtained while working in the simulation of predictive analysis of wind power generation using machine learning based wind conversion can be successfully implemented in real life scenario helping in increasing renewable energy production. The main objective is to maximize the performance and efficiency of Wind Mills. This project will help in automation-. The control strategy used in this project is for maximizing the performance and efficiency of a Wind Mills.