scholarly journals Harnessing Wind Energy Potential in ASEAN: Modelling and Policy Implications

2021 ◽  
Vol 13 (8) ◽  
pp. 4279
Author(s):  
Youngho Chang ◽  
Phoumin Han
Keyword(s):  
Wind Energy ◽  
Carbon Emissions ◽  
Policy Implications ◽  
Wind Generation ◽  
Energy Potential ◽  
Trade Model ◽  
Electricity Trade ◽  
Generation Capacity ◽  
The Cost ◽  
Business As Usual

This study examines whether and how harnessing more wind energy can decrease the cost of meeting the demand for electricity and amount of carbon emissions in the Association for Southeast Asian Nations (ASEAN) region, using the ASEAN integrated electricity trade model. Three scenarios are considered: a counterfactual business-as-usual (BAU) scenario, which assumes no wind energy is used; an actual BAU scenario that uses the wind-generation capacity in 2018; and a REmap scenario, which employs the wind-generation capacity from the Renewable Energy Outlook for ASEAN. Simulation results suggest that dispatching more wind energy decreases the cost of meeting the demand for electricity and amount of carbon emissions. However, these emissions increase during the late years of the study period, as the no- or low-emitting energy-generation technologies are crowded out.

ANN-based evaluation of wind power generation: A case study in Kutahya, Turkey

2014 ◽  
Vol 25 (4) ◽  
pp. 11-22 ◽  
Author(s):  
Mustafa Arif Özgür
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Wind Power ◽  
Conjugate Gradient ◽  
Clean Energy ◽  
Energy Potential ◽  
Wind Measurement ◽  
Levenberg Marquardt ◽  
Wind Energy Potential ◽  
Generation Capacity

Wind energy is one of the most significant and rapidly developing renewable energy sources in the world and it provides a clean energy resource, which is a promising alternative in the short term in Turkey. The wind energy potential in various parts of Turkey is becoming economical due to reductions in wind turbine costs, and in fossil fuel atmospheric pollution. This paper is to present, in brief, wind potential in Turkey and to perform an investigation on the wind energy potential of the Kutahya region. A wind measurement station was established at Dumlupinar University Main Campus in order to figure out the wind energy potential in the province. This study analyses the electricity generation capacity of the Kutahya region, Turkey, which uses the wind power system. In the study, the wind data collected from wind measurement stations between July 2001 and June 2004 (36 months) were evaluated to determine the energy potential of the region. Using this energy potential value, the power generation capacity of Kutahya was investigated for 17 different wind turbines. In this analysis, an ANN-based model and Weibull and Rayleigh distribution models were used to determine the power generation. In the ANN model, different feed-forward back propagation learning algorithms, namely Pola-Ribiere Conjugate Gradient, Levenberg–Marquardt and Scaled Conjugate Gradient were applied. The best appropriate model was determined as Levenberg–Marquardt with 15 neurons in a single hidden layer. Using the best ANN topology, it was determined that all the turbines were profitable except turbine type 1. The system with the turbine type 3 was decisively the most profitable case as determined at the end of the study according to Net Present Value  concept.

Wind Energy Potential in Jordan: Analysis of the First Large-Scale Wind Farm and Techno-Economic Assessment of Potential Farms

2020 ◽  
Vol 143 (1) ◽  
Author(s):  
Suhil Kiwan ◽  
Elyasa Al-Gharibeh ◽  
Emad Abu-Lihia
Keyword(s):  
Wind Energy ◽  
Large Scale ◽  
Wind Farm ◽  
Economic Assessment ◽  
Capacity Factor ◽  
First Year ◽  
Energy Potential ◽  
Levelized Cost Of Electricity ◽  
Total Capacity ◽  
The Cost

Abstract We research the investment potential of wind energy in Jordan. The capacity factor of the first large-scale wind farm in the country, Tafila Wind Farm, was found to be 33.1%, based on actual energy production during its first year of operation. The best performing turbine in the farm achieved a capacity factor of 39.1%. Other eight sites, which are expected to have such capacity factors were subjected to techno-economic investigation utilizing 52 different turbine models of nameplate capacities range from 1.0 to 5.0 MW. A capacity factor higher than 25.0% can be achieved at all the studied sites. The average levelized cost of electricity of the 52 turbines at the eight sites is 0.0708 $/kWh, and the cost ranges from 0.0452 to 0.1108 $/kWh. A proposed 80 MW farm at every location results in a total capacity of 640 MW and an annual estimated energy generation of 1545.0–2076.0 GWh, around 7.0–9.0% of the country's projected electricity demand in 2020.

scholarly journals Impact of Spanish Offshore Wind Generation in the Iberian Electricity Market: Potential Savings and Policy Implications

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4481
Author(s):  
Juan-Manuel Roldan-Fernandez ◽  
Javier Serrano-Gonzalez ◽  
Francisco Gonzalez-Longatt ◽  
Manuel Burgos-Payan
Keyword(s):  
Wind Energy ◽  
Electricity Market ◽  
Cost Reduction ◽  
Wind Farms ◽  
Market Potential ◽  
Policy Implications ◽  
Offshore Wind ◽  
Wind Generation ◽  
Offshore Wind Energy ◽  
The Impact

The European Union considers that offshore wind power will play a key role in making the EU the first climate-neutral continent by 2050. Currently, the potential of offshore wind energy is still untapped in Spain. Furthermore, the characteristics of the coastline in Spain require floating technology, making it challenging to install wind farms due to their current high cost. This work seeks to quantify the impact that Spanish offshore wind energy would have on the Iberian electricity market. Several offshore wind scenarios are evaluated by combining available information in relation to areas suitable for installing wind farms and wind resource data. The impact on the day-ahead electricity market has been obtained by reproducing the market, including these new offshore wind generation scenarios. The introduction of this renewable energy results in a market cost reduction in what is known as the merit-order effect. According to our estimates, for each MWh of offshore wind energy introduced in the market, there would be a market cost reduction of 45 €. These savings can serve as a reference for regulators to adjust their policy framework to boost floating wind offshore generation.

scholarly journals Wind Energy Analysis in the Coastal Region of Bangladesh

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5628
Author(s):  
Khandaker Dahirul Islam ◽  
Thanansak Theppaya ◽  
Fida Ali ◽  
Jompob Waewsak ◽  
Tanita Suepa ◽  
...  
Keyword(s):  
Wind Energy ◽  
Carbon Emissions ◽  
Energy Security ◽  
Energy Analysis ◽  
Clean Energy ◽  
Energy Generation ◽  
Coastal Areas ◽  
Mapping Technique ◽  
Wind Energy Generation ◽  
Generation Capacity

Diversifying the energy mix of Bangladesh is becoming indispensable not only to improve its energy security, but also for a more sustainable economic development. This study focused on mapping the wind potential of southern coastal areas of Bangladesh to estimate the wind energy potential, along with the reduction in carbon emissions due to wind energy. Analysis of the carbon footprint was based on the annual energy production (AEP) from the selected low-wind turbine generators (WTGs). The time series-measured and -predicted wind data were incorporated with the high-resolution mesoscale and microscale wind re-source mapping technique at 60, 80, and 100 m above ground level (AGL). Coupling mesoscale and microscale modeling provided reliable mapping results for the commercially exploitable wind resource and was verified by ground-based wind measurement. The results revealed that, among the selected areas, two sites named Charfashion and Monpura have a promising annual mean wind speed of 7.3 m/s at 100 m AGL for energy generation. Different WTGs with ranges of 1–3.3 MW were used to estimate the wind energy generation capacity at different sites in the study area. A WTG with a 1 MW wind energy generation capacity installed at 60 m AGL in the selected site has the potential to produce 2.79 GWh/year of clean energy, reducing 1781.689 tons of CO2 per year, whereas a 3.3 MW WTG at 80 m AGL can produce 18.99 GWh/year of energy, reducing 12,098.54 tons of CO2 per year, and a 1.6 MW WTG at 100 m AGL produces 11.04 GWh/year of energy, cutting 7035.028 tons of CO2 per year. With its reliable scientific and time-tested wind energy estimation method, this research is very important for the development of wind energy in the southern coastal areas of Bangladesh to meet the increasing energy demands through initiating the development of renewable energy to improve the energy security and reduce the carbon emissions of the country.

scholarly journals Parsing the Effects of Wind and Solar Generation on the German Electricity Trade Surplus

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3434 ◽  
Author(s):  
Samarth Kumar ◽  
David Schönheit ◽  
Matthew Schmidt ◽  
Dominik Möst
Keyword(s):  
Wind Generation ◽  
Marginal Effect ◽  
Renewable Electricity ◽  
Trade Surplus ◽  
Electricity Trade ◽  
Generation Capacity ◽  
Renewable Electricity Generation ◽  
Pv Generation ◽  
High Degree ◽  
Net Export

Germany has experienced rapid growth in its renewable electricity generation capacity in the past fifteen years. This development has been accompanied by a drop in wholesale electricity prices and significant net export surpluses. This situation has given rise to discussions in policy circles concerning the drivers behind these dynamics. The paper at hand empirically analyzes historical cross-border commercial flows (CBCF) of electricity from Germany by applying a Ridge Regression model to parse the effects of the growing shares of renewable energy capacity on the commercial electricity exchange between 2012 and 2016. In case of PV, the fraction of PV generation (marginal effect of PV on export) that is exported correlates positively with the level of PV generation. However, the marginal effect of wind on export is negatively correlated with the level of wind generation. A possible explanation for this finding as it relates to wind feed-in could involve the high degree to which the grid is constrained at times of high wind penetration.

WIND ENERGY POTENTIAL FOR POWER GENERATION OF A LOCAL SITE IN GUSAU, NIGERIA

2010 ◽  
Vol 11 (1-4) ◽  
pp. 99-116 ◽  
Author(s):  
Oluseyi O. Ajayi ◽  
R. O. Fagbenle ◽  
James Katende ◽  
Joshua O. Okeniyi ◽  
O. A. Omotosho
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Energy Potential ◽  
Local Site ◽  
Wind Energy Potential

The Green Revolution and the Gene Revolution in Pakistan: Policy Implications (The Quaid-i-Azam Memorial Lecture)

2005 ◽  
Vol 44 (4I) ◽  
pp. 359-386 ◽  
Author(s):  
Robert E. Evenson
Keyword(s):  
Food Safety ◽  
Green Revolution ◽  
Policy Implications ◽  
Gm Crops ◽  
Regulatory Environment ◽  
Memorial Lecture ◽  
Regulatory Systems ◽  
Cost Reductions ◽  
The Cost ◽  
Export Crops

Pakistan achieved high levels of Green Revolution Modern Variety (GRMV) adoption in the Green Revolution. Pakistan out-performed India and Bangladesh in the Green Revolution. Only China, among major countries, out-performed Pakistan in the Green Revolution. Pakistan does not have the food safety and environmental risk studies in place to support a regulatory environment for biotechnology. In effect, Pakistan is following the “precautionary principle” and applying it to science policy. This paper argues that this is a mistake. Pakistan is paying a “double penalty” for its inability to develop the regulatory systems required to take advantage of genetically modified (GM) crops. Not only does it lose the cost reductions enabled by GM crops, but because other countries have adopted GM crops, world prices are lower as a result and affect Pakistan’s export crops.

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