Wind energy allocation strategies for long-term contracts in open energy markets

2016 ◽  
Author(s):  
Genaro Longoria ◽  
Dingde Jiang ◽  
Alan Davy ◽  
Lei Shi
Keyword(s):  
Wind Energy ◽  
Energy Allocation ◽  
Energy Markets ◽  
Allocation Strategies

scholarly journals Inter-annual variability of wind climates and wind turbine annual energy production

2018 ◽  
Author(s):  
Sara C. Pryor ◽  
Tristan J. Shepherd ◽  
Rebecca J. Barthelmie
Keyword(s):  
Standard Deviation ◽  
Wind Energy ◽  
Wind Turbine ◽  
Energy Production ◽  
Wind Farm ◽  
Wind Farms ◽  
Wind Speeds ◽  
Annual Variability ◽  
Eastern Usa

Abstract. Inter-annual variability (IAV) of expected annual energy production (AEP) from proposed wind farms plays a key role in dictating project financing. IAV in pre-construction projected AEP and the difference in 50th and 90th percentile (P50 and P90) AEP derives in part from variability in wind climates. However, the magnitude of IAV in wind speeds at/close to wind turbine hub-heights is poorly constrained and maybe overestimated by the 6 % standard deviation of annual mean wind speeds that is widely applied within the wind energy industry. Thus there is a need for improved understanding of the long-term wind resource and the inter-annual variability therein in order to generate more robust predictions of the financial value of a wind energy project. Long-term simulations of wind speeds near typical wind turbine hub-heights over the eastern USA indicate median gross capacity factors (computed using 10-minute wind speeds close to wind turbine hub-heights and the power curve of the most common wind turbine deployed in the region) that are in good agreement with values derived from operational wind farms. The IAV of annual mean wind speeds at/near to typical wind turbine hub-heights in these simulations is lower than is implied by assuming a standard deviation of 6 %. Indeed, rather than in 9 in 10 years exhibiting AEP within 0.9 and 1.1 times the long-term mean AEP, results presented herein indicate that over 90 % of the area in the eastern USA that currently has operating wind turbines simulated AEP lies within 0.94 and 1.06 of the long-term average. Further, IAV of estimated AEP is not substantially larger than IAV in mean wind speeds. These results indicate it may be appropriate to reduce the IAV applied to pre-construction AEP estimates to account for variability in wind climates, which would decrease the cost of capital for wind farm developments.

Ostatni będą pierwszymi? LNG w polityce energetycznej Rosji

2020 ◽  
Vol 18 (4) ◽  
pp. 97-120
Author(s):  
Szymon Kardaś
Keyword(s):  
Energy Markets ◽  
The State ◽  
External Energy ◽  
State Budget ◽  
Russian State ◽  
Internal Structures ◽  
Constant State ◽  
High Level ◽  
The Relationship

The purpose of the article is to analyze the current condition and development prospects for the Russian LNG sector. Taking into account the specifics of the functioning of the Russian state, the author chose the realistic paradigm (neoclassical realism), which is useful in the context of showing the relationship between internal structures and external activity of the state. The author argues that Russian expansion in the LNG sector is the result of the lobbying capacity of Novatek – the largest private gas producer in Russia. Although the state budget incurs significant costs related to the implementation of Novatek projects, in particular due to fiscal preferences, it also achieves the possibility of achieving the objectives in external and internal energy policy. Novatek’s expansion increases Russia’s share in external energy markets; at the same time LNG expansion, it is used for internal purposes. Novatek’s dominant position in the LNG sector is confirmed by both already implemented projects and plans for further expansion. The factors favoring Russian expansion are constant state support for Novatek projects, high level of internationalization of implemented projects and favorable forecasts on energy markets. The strong competition between currently dominant LNG producers and the risk of internal competition between Russian exporters are among the key long-term challenges.

scholarly journals Insurrection for land, sea and dignity: resistance and autonomy against wind energy in Álvaro Obregón, Mexico

2018 ◽  
Vol 25 (1) ◽  
pp. 120 ◽  
Author(s):  
Alexander Dunlap
Keyword(s):  
Climate Change ◽  
Wind Energy ◽  
Climate Change Mitigation ◽  
Social Divisions ◽  
Sand Bar ◽  
Wind Energy Development ◽  
The Village ◽  
The Town ◽  
Change Mitigation

Providing a glimpse into the reality of wind energy development, the story of Álvaro Obregón is one of resistance. Álvaro Obregón is a primarily Zapotec semi-subsistence community located near the entrance of the Santa Teresa sand bar (Barra), where in 2011 Mareña Renovables initiated the process of building 102 wind turbines. Demonstrating the complicated micro-politics of land acquisition, conflict and unrest, this article argues that climate change mitigation initiatives are sparking land grabs and conflict with the renewed valuation of wind resources. Insurrection against the Mareña Renovables wind project has spawned a long-term conflict, which has created social divisions and a type of low-intensity civil war within the town. This article will chronicle the uprising against the wind company, battles with police, and the town hall takeover, which includes analyzing the conflict taking place between the cabildo comunitario and the constitucionalistas. Subsequent sections examine the different perspectives within the village and how this battle between the Communitarians and the wind company continues today. The article reveals the complications associated with land deals, the conflict generating potential of climate change mitigation practices and, finally, concludes by reflecting on the difficulties of formulating alternatives to development within a conflict situation.

Optimal Energy Management of Hybrid Power System With Two-Scale Dynamic Programming

2011 ◽  
Author(s):  
Lei Zhang ◽  
Yaoyu Li
Keyword(s):  
Dynamic Programming ◽  
Wind Energy ◽  
Energy Management ◽  
Electricity Price ◽  
Short Term ◽  
Optimal Energy ◽  
Macro Scale ◽  
Optimal Energy Management ◽  
The Impact

Energy management is one of the main issues in operating the HPS, which needs to be optimized with respect to the current and future change in generation, demand, and market price, particularly for HPS with strong renewable penetration. Optimal energy management strategies such as dynamic programming (DP) may become significantly suboptimal under strong uncertainty in prediction of renewable generation and utility price. In order to reduce the impact of such uncertainties, a two-scale dynamic programming scheme is proposed in this study to optimize the operational benefit based on multi-scale prediction. First, a macro-scale dynamic programming (MASDP) is performed for the long term period, based on long term ahead prediction of hourly electricity price and wind energy (speed). The battery state-of-charge (SOC) is thus obtained as the macro-scale reference trajectory. The micro-scale dynamic programming (MISDP) is then applied with a short term interval, based on short term-hour ahead auto-regressive moving average (ARMA) prediction of hourly electricity price and wind energy. The nodal SOC values from the MASDP result are used as the terminal condition for the MISDP. The simulation results show that the proposed method can significantly decrease the operation cost, as compared with the single scale DP method.

Analysis of Environmental Conditions for the Conceptual Design of a 200 MW Floating Offshore Wind Farm in the East Sea, Korea

2019 ◽  
Author(s):  
Hyunkyoung Shin ◽  
Youngjae Yu ◽  
Thanh Dam Pham ◽  
Hyeonjeong Ahn ◽  
Byoungcheon Seo ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Wind Energy ◽  
Environmental Conditions ◽  
Early Stage ◽  
Measurement Data ◽  
Reanalysis Data ◽  
Offshore Wind ◽  
East Sea ◽  
Wind Resource

Abstract Due to global climate change, concern regarding the environment is greater than ever. Also, the energy industry is constantly developing and investing in new and renewable energy to reduce carbon emissions. Korea is planning to increase the proportion of renewable energy generation to 20% by 2030, in accordance with the 3020 renewable energy policy. This will involve 16.5 GW (34%) from wind energy, with a capacity from offshore wind energy of approximately 13 GW. Considering domestic technological wind resource potential (33.2 GW), it seems to be a sufficient target amount. However, in order to start the wind power generation business, the installation area must be analyzed for environmental information, for the evaluation of the wind resource and the early-stage concept design. Because it is difficult to conduct long-term measurements of the entire sea area, the environmental conditions are generally estimated from short-term measurement data and long-term reanalysis data. In this study, the environmental conditions of the East Sea of Korea were selected, and a comparative analysis was performed on the meteorological agency’s oceanic meteorology buoy data, ERA-5 reanalysis data obtained from ECMWF, and NASA’s MERRA-2 data. The extreme sea states of 50 years and 100 years were analyzed by extreme statistical analysis. Finally, environmental conditions required for the basic design of wind turbines were selected following IEC and DNV standards.

scholarly journals Influence of the ENSO and Monsoonal Season on Long-Term Wind Energy Potential in Malaysia

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2965 ◽  
Author(s):  
Aliashim Albani ◽  
Mohd Ibrahim ◽  
Kim Yong
Keyword(s):  
Wind Energy ◽  
Wind Turbine ◽  
El Nino ◽  
Southwest Monsoon ◽  
Capacity Factor ◽  
Wind Data ◽  
Northeast Monsoon ◽  
Energy Potential ◽  
Wind Energy Potential

This paper assesses the long-term wind energy potential at three selected sites, namely Mersing and Kijal on the east coast of peninsular Malaysia and Kudat in Sabah. The influence of the El Niño-Southern Oscillation on reanalysis and meteorological wind data was assessed using the dimensionless median absolute deviation and wavelet coherency analysis. It was found that the wind strength increases during La Niña events and decreases during El Niño events. Linear sectoral regression was used to predict the long-term wind speed based on the 35 years of extended Climate Forecast System Reanalysis data and 10 years of meteorological wind data. The long-term monthly energy production was computed based on the 1.5 MW Goldwind wind turbine power curve. The measured wind data were extrapolated to the selected wind turbine default hub height (70 m.a.s.l) by using the site-specific power law indexed. The results showed that the capacity factor is higher during the Northeast monsoon (21.32%) compared to the Southwest monsoon season (3.71%) in Mersing. Moreover, the capacity factor in Kijal is also higher during the Northeast monsoon (10.66%) than during the Southwest monsoon (5.19%). However, in Kudat the capacity factor during the Southwest monsoon (36.42%) is higher compared to the Northeast monsoon (24.61%). This is due to the tail-effect of tropical storms that occur during this season in the South China Sea and Pacific Ocean.

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