Onshore Wind Energy Siting Atlas II: Mapping and Sensitivity Analysis of Candidate Sites

2021 ◽  
Vol 25 (2) ◽  
pp. 55-60
Author(s):  
Sujin Hwang ◽  
◽  
Jin-Young Kim ◽  
Jongyoon Park ◽  
Jungeun Song ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Wind Energy ◽  
Onshore Wind

Economic Evaluation of Onshore Wind Energy Plants for Turkey

2010 ◽  
Vol 5 (3) ◽  
pp. 308-313 ◽  
Author(s):  
C. Sevim
Keyword(s):  
Economic Evaluation ◽  
Wind Energy ◽  
Onshore Wind ◽  
Energy Plants

Effects of geographical and technological diversification on the development of spatially disaggregated wind and solar power market values  

2021 ◽  
Author(s):  
Manuel Eising ◽  
Hannes Hobbie ◽  
Dominik Möst
Keyword(s):  
Wind Energy ◽  
Solar Power ◽  
Negative Relationship ◽  
Market Value ◽  
Power Market ◽  
Offshore Wind ◽  
Onshore Wind ◽  
Market Values ◽  
Technological Diversification ◽  
Geographical Diversification

<p><strong>Keywords</strong>: Market value, Technological diversification, Geographical diversification, Spatial value factor distribution</p><p>Ambitious climate and energy targets require environmentally compatible energy generation with a high utilisation of renewable energy sources. However, due to the intermittent appearance of wind and PV feed-in, variable renewable energy (VRE) reveals significantly lower market values than conventional dispatchable power (Joskow, 2011). Additionally, with higher VRE shares a significant market value drop of wind and solar power has been observed in recent years as a result of the merit order effect (Hirth, 2013). Moreover, results by Engelhorn and Müsgens (2018) and Becker and Thrän (2018) have indicated regional disparities in empirical market values for Germany.  This poses interest on what exactly drives and how to quantify the development and spatial distribution of VRE market values.</p><p>Against this background, an electricity market model is applied to trace the development of spatial market values based on model-endogenous electricity prices. A special feature of the model is the inclusion of highly regionally disaggregated weather data which allows to investigate effects of different geographical and technological VRE diversification strategies in Germany until 2035 (Eising et al., 2020). The results of this research are threefold:</p><ul><li>Technological diversity: results show a significant decrease in PV and onshore wind value factors as VRE shares increase. Replacing onshore wind energy by offshore wind energy reduces the volatility and counteracts the value drop of onshore wind, offshore wind and PV.</li> <li>Geographical diversity: results indicate that geographical diversification does not necessarily mitigate decreasing VRE value factors. Under specific circumstances, a higher concentration at sites with lower full-load hours and corresponding higher feed-in volatility potentially mitigates positive effects from more spatially distributed generation.</li> <li>Spatial distribution of value factors: for all mitigation strategies and for wind and PV the spatial value factor distribution shows future increases in regional disparities. However, regional value factor disparities are most distinct in case of onshore wind. The analysis reveals two significant drivers: first, a negative relationship between the regional wind capacity density and their regional value factors can be observed. Second, results indicate a negative relationship between site-specific wind feed-in volatility and the value factor.</li> </ul><p> Summarising, the analysis highlights the importance of considering spatial market values in efficiently designing future electricity markets.  </p><p> </p><p><strong>References</strong></p><p>Becker, R., Thrän, D., 2018. Optimal Siting of Wind Farms in Wind Energy Dominated Power Systems. Energies 11, 978. https://doi.org/10.3390/en11040978</p><p>Eising, M., Hobbie, H., Möst, D., 2020. Future wind and solar power market values in Germany — Evidence of spatial and technological dependencies? Energy Econ. 86, 104638. https://doi.org/10.1016/j.eneco.2019.104638</p><p>Engelhorn, T., Müsgens, F., 2018. How to estimate wind-turbine infeed with incomplete stock data: A general framework with an application to turbine-specific market values in Germany. Energy Econ. 72, 542–557. https://doi.org/10.1016/j.eneco.2018.04.022</p><p>Hirth, L., 2013. The market value of variable renewables: The effect of solar wind power variability on their relative price. Energy Econ. 38, 218–236.</p><p>Joskow, P.L., 2011. Comparing the Costs of Intermittent and Dispatchable Electricity Generating Technologies. Am. Econ. Rev. 101, 238–241.</p>

scholarly journals Assessment of Onshore Wind Energy Potential Using Regional Atmospheric Modeling System (RAMS) for Thailand

2014 ◽  
Vol 52 ◽  
pp. 487-496
Author(s):  
C. Chancham ◽  
J. Waewsak ◽  
T. Chaichana ◽  
M. Landry ◽  
Y. Gagnon
Keyword(s):  
Wind Energy ◽  
Atmospheric Modeling ◽  
Regional Atmospheric Modeling System ◽  
Energy Potential ◽  
Onshore Wind ◽  
Wind Energy Potential ◽  
Regional Atmospheric Modeling

Onshore wind energy potential for Small Island Developing States: Findings and recommendations from Barbados

2019 ◽  
Vol 52 ◽  
pp. 116-127 ◽  
Author(s):  
Tom Rogers ◽  
Masaō Ashtine ◽  
Randy Koon Koon ◽  
Marsha Atherley-Ikechi
Keyword(s):  
Wind Energy ◽  
Small Island ◽  
Small Island Developing States ◽  
Energy Potential ◽  
Onshore Wind ◽  
Wind Energy Potential

scholarly journals The social license to operate in the onshore wind energy industry: A comparative case study of Scotland and South Africa

Energy Policy ◽  
2021 ◽  
Vol 148 ◽  
pp. 111981
Author(s):  
Siân Stephens ◽  
Bryan Michael Kenneth Robinson
Keyword(s):  
South Africa ◽  
Wind Energy ◽  
Energy Industry ◽  
Comparative Case Study ◽  
Onshore Wind ◽  
Social License To Operate ◽  
Social License ◽  
The Social

scholarly journals Impact of key factors on expected development of onshore wind energy sector in Poland and development scenarios

2018 ◽  
Vol 70 ◽  
pp. 01017 ◽  
Author(s):  
Izabela Wielewska ◽  
Karol Tucki ◽  
Anna Bączyk ◽  
Magda Trzaska
Keyword(s):  
Wind Energy ◽  
Wind Power ◽  
National Level ◽  
Wind Farms ◽  
Power Market ◽  
Energy Sector ◽  
Key Factors ◽  
Onshore Wind ◽  
Development Scenarios ◽  
Current State

The aim of the paper was to analyse the wind power market in Poland by reviewing the factors that shape and influence its current state and the possible development prospects. The paper was focused on legislative, environmental, manufacturing, sociocultural and economic factors. Barriers to the development of onshore wind power market and the expected development of wind energy in Poland in the years 2017-2020 were identified and measured based on a survey. The review of individual factors and the study performed present that legislative barriers and the introduction of the ‘distance act’ are factors with the biggest influence on the current stagnation of onshore wind energy sector. A review of the recommendations concerning the distance (from protected areas and housing) required to build wind farms set forth in literature shows that Poland is the only country with such harsh restrictions. With its good environmental conditions and technical capacities, Poland can become a European leader in the production of energy from wind. The only barrier is the legislative environment and political instability on the national level. Without improvements in this sector, there is no chance for new wind projects, as these factors are crucial for development of this type of energy.

Assessing the feasibility of deployment policies in wind energy systems. A sensitivity analysis on a multiequational econometric framework

2020 ◽  
Vol 86 ◽  
pp. 104688 ◽  
Author(s):  
Consolación Quintana-Rojo ◽  
Fernando-Evaristo Callejas-Albiñana ◽  
Miguel-Ángel Tarancón ◽  
Pablo del Río
Keyword(s):  
Sensitivity Analysis ◽  
Wind Energy ◽  
Energy Systems ◽  
Wind Energy Systems

scholarly journals Microgeneration of Wind Energy for Micro and Small Businesses: Application of ANN in Sensitivity Analysis for Stochastic Economic Feasibility

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 73931-73946
Author(s):  
Liviam Soares Lacerda ◽  
Paulo Rotela Junior ◽  
Rogerio Santana Peruchi ◽  
Gianfranco Chicco ◽  
Luiz Celio Souza Rocha ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Wind Energy ◽  
Small Businesses ◽  
Economic Feasibility

scholarly journals Economic Assessment of Distributed Generation Technologies: A Feasibility Study and Comparison with the Literature

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2764
Author(s):  
Ameena Saad Al-Sumaiti ◽  
Abdollah Kavousi-Fard ◽  
Magdy Salama ◽  
Motahareh Pourbehzadi ◽  
Srikanth Reddy ◽  
...  
Keyword(s):  
Power Generation ◽  
Sensitivity Analysis ◽  
Wind Energy ◽  
Distributed Generation ◽  
Economic Assessment ◽  
Rate Of Return ◽  
Maintenance Cost ◽  
Fuel Cost ◽  
Operation And Maintenance ◽  
Operation And Maintenance Cost

With the negative climate impact of fossil fuel power generation and the requirement of global policy to shift towards a green mix of energy production, the investment in renewable energy is an opportunity in developing countries. However, poor economy associated with limited income, funds availability, and regulations governing project funding and development are key factors that challenge investors in the energy sector. Given the various power generation resources, including renewables, it is necessary to evaluate the possible power generation investment options from an economic perspective. To realize this objective, solar PV, wind and diesel power generations are economically compared, considering the incremental rate of return and incremental benefit to cost ratio techniques. The alternative investment options of distributed generation technologies are evaluated for Maharashtra, India under different depreciation methods, and the effect of the latter on selecting the best investment candidate is investigated. The paper also conducts sensitivity analysis to examine the impact of capital cost, operation and maintenance cost, and fuel cost variations on the selection decision considering a comparison of the different general projects’ cash flow structures discussed in the literature. The economic aspects of selecting a project among possible alternatives for an investment in the power sector are analyzed, and the presented review provides comprehensive comparisons with respect to the literature approaches. The results reveal that, in the benchmark case study, the PV project is rejected and disregarded from further comparisons with other candidate projects since its equity internal rate of return (10.25%) is less than the minimum accepted rate of return, leaving the selection between wind and diesel energy projects. The study reveals that the incremental rates of return under such a comparison are 37.88%, 45.94% and 37.50% when MACRS, declining balance and straight line depreciations techniques are applied, respectively. Thus, the wind energy project is the favored option in this case. For the economic assessment of other case studies, the application of both sensitivity analysis on the capital cost and operation and maintenance cost and literature approaches to structure the projects reveal that wind energy for Maharashtra, India is a more attractive and feasible option compared to other distribution generation projects, while diesel is only considered to be a good option when its fuel cost is reduced by 5%. Finally, the paper highlights policy implications that can influence the decision to move towards investment in distributed generation technologies as a future research direction.

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