scholarly journals Discussion on the Feasibility of the Integration of Wind Power and Coal Chemical Industries for Hydrogen Production

2021 ◽  
Vol 13 (21) ◽  
pp. 11628
Author(s):  
Shuxia Yang ◽  
Shengjiang Peng ◽  
Xianzhang Ling
Keyword(s):  
Hydrogen Production ◽  
Wind Power ◽  
Wind Farm ◽  
Coupled System ◽  
Clean Energy ◽  
High Energy ◽  
Economic Feasibility ◽  
Evaluation Framework ◽  
Coupling Energy ◽  
Goal Programming Model

To improve the utilization rate of the energy industry and reduce high energy consumption and pollution caused by coal chemical industries in northwestern China, a planning scheme of a wind-coal coupling energy system was developed. This scheme involved the analysis method, evaluation criteria, planning method, and optimization operation check for the integration of a comprehensive evaluation framework. A system was established to plan the total cycle revenue to maximize the net present value of the goal programming model and overcome challenges associated with the development of new forms of energy. Subsequently, the proposed scheme is demonstrated using a 500-MW wind farm. The annual capacity of a coal-to-methanol system is 50,000. Results show that the reliability of the wind farm capacity and the investment subject are the main factors affecting the feasibility of the wind-coal coupled system. Wind power hydrogen production generates O2 and H2, which are used for methanol preparation and electricity production in coal chemical systems, respectively. Considering electricity price constraints and environmental benefits, a methanol production plant can construct its own wind farm, matching its output to facilitate a more economical wind-coal coupled system. Owing to the high investment cost of wind power plants, an incentive mechanism for saving energy and reducing emissions should be provided for the wind-coal coupled system to ensure economic feasibility and promote clean energy transformation.

scholarly journals Technical and Economic Feasibility of the First Wind Farm on Egypt's Mediterranean Sea Coast

2021 ◽  
Author(s):  
Ahmed Shata Ahmed
Keyword(s):  
Mediterranean Sea ◽  
Wind Power ◽  
Wind Farm ◽  
Electrical Energy ◽  
Clean Energy ◽  
Economic Feasibility ◽  
Target Area ◽  
The Mediterranean ◽  
Economic Price ◽  
Sustainable Electricity

Abstract Recently, the utilization of wind turbines in the production of clean energy has been increased to achieve sustainable electricity supply, as planned by the government of Egypt through the use of renewable resources like wind power. This paper purposed to assess the wind power potential for the coastal area in Sidi Barrani province, a meteorological station with mast of 10 m was constructed near the Mediterranean Sea shore in Egypt. The density of wind power was assessed at the level of 100 m monthly and seasonally after taking into account the correction of air density. On the annual basis, the station is rated with high potential 441 kW/m2. This is an ideal location for large-scale wind turbine to generate sustainable electricity. A performance assessment was executed using three commercialized wind generators having capacity of 2000 kW from different manufacturers and were also equal in height and rotor diameter, for choosing the best unit suitable for the target area. The economic analysis of a 200 MW coastal wind farm in the studied area was done using the advanced method of present value costs. The findings prove that the proposed project could produce approximately 988 GWh per year of electrical energy with an economic price of 1.7 US cents per kWh. Consequently, this huge sustainable electrical energy produced from this project can be transferred to Southern European countries along the Mediterranean, because it is relatively more than the Egypt's needs. It also limits the burning of local petroleum products, as well as stopping the emission of thousands of tons of carbon annually.

scholarly journals Assessment of Wind Characteristics and Wind Power Potential of Gharo, Pakistan

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Zahid Hussain Hulio
Keyword(s):  
Wind Turbine ◽  
Wind Power ◽  
Frequency Distribution ◽  
Cost Estimation ◽  
Wind Farm ◽  
Research Work ◽  
Economic Assessment ◽  
High Energy ◽  
Energy Yield ◽  
Wind Characteristics

The objective of this research work is to assess the wind characteristics and wind power potential of Gharo site. The wind parameters of the site have been used to calculate the wind power density, annual energy yield, and capacity factors at 10, 30, and 50 m. The wind frequency distribution including seasonal as well as percentage of seasonal frequency distribution has been investigated to determine accurately the wind power of the site. The coefficient of variation is calculated at three different heights. Also, economic assessment per kWh of energy has been carried out. The site-specific annual mean wind speeds were 6.89, 5.85, and 3.85 m/s at 50, 30, and 10 m heights with corresponding standard deviations of 2.946, 2.489, and 2.040. The mean values of the Weibull k parameter are estimated as 2.946, 2.489, and 2.040 while those of scale parameter are estimated as 7.634, 6.465, and 4.180 m/s at 50, 30, and 10 m, respectively. The respective mean wind power and energy density values are found to be 118.3, 92.20, and 46.10 W/m2 and 1036.6, 807.90, and 402.60 kWh/m2. As per cost estimation of wind turbines, the wind turbine WT-C has the lowest cost of US$ Cents 0.0346/kWh and highest capacity factors of 0.3278 (32.78%). Wind turbine WT-C is recommended for this site for the wind farm deployment due to high energy generation and minimum price of energy. The results show the appropriateness of the methodology for assessing the wind speed and economic assessment at the lowest price of energy.

scholarly journals Producción de Hidrógeno mediante digestión anaerobia de residuos de planta de jitomate

2019 ◽  
pp. 1-12
Author(s):  
Sarai Camarena-Martínez ◽  
Juan Humberto Martínez-Martínez ◽  
Adriana Saldaña-Robles ◽  
Graciela M.L Ruiz-Aguilar
Keyword(s):  
Hydrogen Production ◽  
Tomato Plant ◽  
Biological Process ◽  
Clean Energy ◽  
High Energy ◽  
Anaerobic Sludge ◽  
Plant Residues ◽  
Lignocellulosic Waste ◽  
Initial Ph ◽  
Native Microflora

Hydrogen (H2) is recognized as a promising energy carrier among the alternatives for obtaining clean energy, since it has a high energy efficiency (122 kJ / g) and can be obtained from lignocellulosic waste through a biological process. In the state of Guanajuato, high amounts of plant waste derived from tomato cultivation are generated because this is the crop mostly produced through protected agriculture. So, the objective of the present study was to consider tomato plant residues for the generation of hydrogen through the anaerobic digestion process. Two sources of inoculum, native microflora of the tomato plant and anaerobic sludge pretreated at 100 ° C for 24 h; and four mineral media at an initial pH of 6.5 ± 0.2 in batch experiments, were evaluated. The highest yield was 37.4 mLH2 / g SV using native microflora and mineral media with yeast extract. Hydrogen production was found like those reported in the literature for other type of waste, highlighting the no-need to pretreat the substrate or inoculum. Therefore, the methodology propose is efficient to the hydrogen production from tomato plant residues.

New Non-Grid Wind Power Desalination Systems Research

2014 ◽  
Vol 488-489 ◽  
pp. 970-974
Author(s):  
Gang Wang ◽  
Jian Zhong Shi
Keyword(s):  
Water Resources ◽  
Wind Power ◽  
Fresh Water ◽  
Large Scale ◽  
Sea Water ◽  
Rapid Development ◽  
Clean Energy ◽  
High Energy ◽  
Water Desalination ◽  
Systems Research

the large-scale application of non-grid-connected wind power in sea water desalination industry has not only solved the difficulty in grid connection of wind power, but also can be an inexhaustible clean energy supply for the sea water desalination. Such application, breaking through the traditional sea water desalination technology and wind power development ideas and realizing the 100% local use of renewable energies, is a perfect combination of the new energy industry and the power consumption industry. The large-scale industrialization application of non-grid-connected wind power sea water desalination can not only maximize the efficiency of wind power and realize the unification of social benefit, environmental benefit and economic benefit, but also is of great strategic significance in accelerating the transformation of the economic development mode of China, and meanwhile, plays a leading role in the diversified development of the world wind power industry. 1. High-energy consumption factors restrict the development of sea water desalination Sea water desalination is a source-opening incremental technology for realizing the utilization of water resources, which can increase the total amount of fresh water and is not limited by time, space and climate with good water quality, and can guarantee the stable water supply of drinking water for coastal residents and industrial water supplementation. Since sea water desalination is the substitutional and incremental technology of fresh water resources, many countries are attaching more and more importance on it. With the rapid development of the economy and society of China, especially with the acceleration of urbanization, some coastal developed areas and large cities near the sea are having a greater and greater demand on water resources. In this condition, the development of sea water desalination has a great strategic significance in the supplementation of water resources in the sustainable development process of these areas[1,2].

Optimal Energy Storage Sizing for Wind Power Applications

2014 ◽  
Vol 705 ◽  
pp. 278-283
Author(s):  
Cong Ying Han ◽  
Rui Yuan Kong ◽  
Tian De Guo ◽  
Wei Pei
Keyword(s):  
Energy Storage ◽  
Wind Energy ◽  
Wind Power ◽  
Wind Farm ◽  
Storage System ◽  
Clean Energy ◽  
Energy Storage System ◽  
Factors Affecting ◽  
Farm Planning ◽  
Discharge Operation

Wind energy is now widely used in many countries as a clean energy. In order to make better use of wind energy, we need to study various factors affecting the utilization of wind energy. If we can better predict the wind, we can make full use of wind energy. Where, combing an energy storage system with a wind farm is an effective way to mitigate fluctuations and improve the predictability of wind power. Energy storage sizing has been an important part in wind farm planning. This paper presents an optimization model for determining the capacity of a lead-acid battery integrated with a wind farm. The energy storage capacity calculated in the model gives the lowest cost and has a significant impact on remedying the prediction error. Besides, the charge and discharge operation can also be displayed in our model.

scholarly journals Economic feasibility of wind and photovoltaic energy in Kuwait

2021 ◽  
Vol 280 ◽  
pp. 05016
Author(s):  
Waleed K. Al-Nassar ◽  
S. Neelamani ◽  
Teena Sara William
Keyword(s):  
Wind Energy ◽  
Wind Power ◽  
Power Plants ◽  
Capital Expenditure ◽  
Thermal Power ◽  
High Energy ◽  
Economic Feasibility ◽  
Offshore Wind ◽  
Solar Pv ◽  
Levelized Cost Of Electricity

The worldwide environmental concern and awareness created a way towards the generation of pollution-free wind and solar renewable energies. Wind and Photovoltaic (PV) power plants of each 10 MW capacity located in the Shagaya area, west of Kuwait, were compared after one year of operation. The wind power plants recorded high capacity factors resulting in a yearly power production of 42.59 GWh, 21% higher than expected (contractual 31.160 GWh). It will reduce the emission of CO2 throughout the projected lifetime of 25 years by 118,303 tons. CAPEX (capital Expenditure) and OPEX (operation expenditure) were taken into consideration throughout the life of the plants along with investment costs resulting in a levelized cost of electricity (LCOE) for wind of 0.015 KWD/kWh or 0.046 USD/kWh, compared to 0.027 KWD/kWh or 0.082 USD/kWh for solar PV (44% lower than PV). Offshore, Boubyan Island, Northern Kuwait territorial waters, were found to be the foremost appropriate for wind energy generation, with Wind Power Density of more than 500 Watt/m2 in summer which is ideal for the high energy demanding season in Kuwait. The LCOE for offshore wind energy was 27.6 fils/kWh, compared to 39.3 fils/kWh for thermal power plants.

scholarly journals Long-Term Estimation of Wind Power by Probabilistic Forecast Using Genetic Programming

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1885
Author(s):  
Mónica Borunda ◽  
Katya Rodríguez-Vázquez ◽  
Raul Garduno-Ramirez ◽  
Javier de la Cruz-Soto ◽  
Javier Antunez-Estrada ◽  
...  
Keyword(s):  
Wind Speed ◽  
Genetic Programming ◽  
Wind Turbine ◽  
Wind Power ◽  
Clean Energy ◽  
Economic Feasibility ◽  
Good Prediction ◽  
Potential Candidate ◽  
Good Prediction Accuracy

Given the imminent threats of climate change, it is urgent to boost the use of clean energy, being wind energy a potential candidate. Nowadays, deployment of wind turbines has become extremely important and long-term estimation of the produced power entails a challenge to achieve good prediction accuracy for site assessment, economic feasibility analysis, farm dispatch, and system operation. We present a method for long-term wind power forecasting using wind turbine properties, statistics, and genetic programming. First, due to the high degree of intermittency of wind speed, we characterize it with Weibull probability distributions and consider wind speed data of time intervals corresponding to prediction horizons of 30, 25, 20, 15 and 10 days ahead. Second, we perform the prediction of a wind speed distribution with genetic programming using the parameters of the Weibull distribution and other relevant meteorological variables. Third, the estimation of wind power is obtained by integrating the forecasted wind velocity distribution into the wind turbine power curve. To demonstrate the feasibility of the proposed method, we present a case study for a location in Mexico with low wind speeds. Estimation results are promising when compared against real data, as shown by MAE and MAPE forecasting metrics.

scholarly journals Wind Power Economic Feasibility under Uncertainty and the Application of ANN in Sensitivity Analysis

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2281 ◽  
Author(s):  
Paulo Rotela Junior ◽  
Eugenio Fischetti ◽  
Victor G. Araújo ◽  
Rogério S. Peruchi ◽  
Giancarlo Aquila ◽  
...  
Keyword(s):  
Wind Power ◽  
Alternative Energy ◽  
Clean Energy ◽  
Economic Feasibility ◽  
Alternative Energy Sources ◽  
Relevant Variables ◽  
Ann Models ◽  
The Government ◽  
Brazilian Northeast ◽  
Relevant Factors

Wind power has grown popular in past recent years due to environmental issues and the search for alternative energy sources. Thus, the viability for wind power generation projects must be studied in order to attend to the environmental concerns and still be attractive and profitable. Therefore, this article aims to perform a sensitive analysis in order to identify the variables that influence most in the viability of a wind power investment for small size companies in the Brazilian northeast. For this, a stochastic analysis of viability through Monte Carlo Simulation (MCS) will be made and afterwards, Artificial Neural Networks (ANN) models will be applied for the most relevant variables identification. Through the sensitivity, it appears that the most relevant factors in the analysis are the speed of wind, energy tariff and the investment amount. Thus, the viability of the investment is straightly tied to the region where the wind turbine is installed, and the government incentives may allow decreasing in the investment amount for wind power. Based on this, incentives programs for the production of clean energy include cheaper purchase of wind turbines, lower taxing and financing rates, can make wind power more profitable and attractive.

scholarly journals Bio-hydrogen production from waste materials: A review

2018 ◽  
Vol 192 ◽  
pp. 02020 ◽  
Author(s):  
Vinod Singh Yadav ◽  
Vinoth R ◽  
Dharmesh Yadav
Keyword(s):  
Hydrogen Production ◽  
Food Industry ◽  
Clean Energy ◽  
High Energy ◽  
Gas Production ◽  
Hydrogen Gas ◽  
Raw Material ◽  
Waste Materials ◽  
Water Steam ◽  
Production Of Hydrogen

When hydrogen burns in air, it produces nothing but water vapour. It is therefore the cleanest possible, totally non-polluting fuel. This fact has led some people to propose an energy economy based entirely on hydrogen, in which hydrogen would replace gasoline, oil, natural gas, coal, and nuclear power. Hydrogen is a clean energy source. Therefore, in recent years, demand on hydrogen production has increased considerably. Electrolysis of water, steam reforming of hydrocarbons and auto-thermal processes are well-known methods for hydrogen gas production, but not cost-effective due to high energy requirements. As compare to chemical methods, biological production of hydrogen gas has significant advantages such as bio-photolysis of water by algae, dark and photo-fermentation of organic materials, usually carbohydrates by bacteria. New approach for bio-hydrogen production is dark and photo-fermentation process but with some major problems like dark and photo-fermentative hydrogen production is the raw material cost. By using suitable bio-process technologies hydrogen can be produced through carbohydrate rich, nitrogen deficient solid wastes such as cellulose and starch containing agricultural and food industry wastes and some food industry wastewaters such as cheese whey, olive mill and baker's yeast industry wastewaters. Utilization of aforementioned wastes for hydrogen production provides inexpensive energy generation with simultaneous waste treatment. This review article summarizes bio-hydrogen production from some waste materials with recent developments and relative advantages.

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