Pre-Feasibility Analysis of a Wind-Solar-Diesel Electricity Generation System for a Remote Island Community in the Gulf of Guayaquil in Ecuador

2010 ◽  
Author(s):  
Pablo Tagle Salazar ◽  
Jorge Duque-Rivera
Keyword(s):  
Wind Speed ◽  
Solar Irradiance ◽  
Electricity Generation ◽  
Meteorological Data ◽  
Feasibility Analysis ◽  
Analysis Tool ◽  
Generation System ◽  
Demand Models ◽  
Island Community ◽  
Gulf Of Guayaquil

Reliable energy provision to poor island communities is a challenging problem, particularly in developing countries. This paper presents a pre-feasibility analysis of a wind-solar-diesel electricity generation system to satisfy residential demand in a small, poor island community located in the Gulf of Guayaquil in Ecuador, using HOMER as an analysis tool. The community currently has unreliable diesel generated electricity that energizes homes and street lights, but wishes to replace it with renewable sources as they see that these sources are more aligned with their intention to move into sustainable tourism as a source of income. Relevant meteorological data is lacking and there is only anecdotal evidence that wind is strong in summer time nights at the site. Data for solar irradiance and wind speed were taken from a meteorological station located in Guayaquil, a city relatively close to the island. Wind speed was estimated during a field visit. The community is composed of 85 households for a total of 650 people. Domestic demand data was available and categorized into two types of households. HOMER was used to model four generation system types combining wind turbines, PV panels and Diesel generators to satisfy five different demand models with varying proportions of total households of each type. Selection of the best system is based in both energy and cost optimization, with low use of diesel and low excess of electricity. A sensitivity analysis of the wind and solar resources is included to account for the unavailability of reliable data for wind speed and solar irradiance. The expansion of the system due to population and ensuing demand growth is considered in the analysis using a 25 years project lifetime. The results show that there is potential to install a wind-solar-diesel system under medium-high weather conditions (more than 4 kWh/m2d for solar irradiance and 3.5m/s for wind speed). As a sample, at a 4.5kWh/m2d solar irradiance and 4.6m/s wind speed, a wind-solar-diesel system presents a total NPV of $1,616,615 and a LCOE of $0.23 per kWh, with a diesel reduction use of 81.8% and a excess energy percentage of 3.44%.

Evaluation of energy generation in Iraqi territory by solar photovoltaic power plants with a capacity of 20 MW

2022 ◽  
Vol 0 (0) ◽  
Author(s):  
Qusay Hassan ◽  
Saadoon Abdul Hafedh ◽  
Ali Hasan ◽  
Marek Jaszczur
Keyword(s):  
Experimental Data ◽  
Wind Speed ◽  
Power Plant ◽  
Ambient Temperature ◽  
Solar Irradiance ◽  
Electricity Generation ◽  
Power Plants ◽  
Solar Photovoltaic ◽  
Photovoltaic Power ◽  
Plant Capacity

Abstract The study evaluates the visibility of solar photovoltaic power plant construction for electricity generation based on a 20 MW capacity. The assessment was performed for four main cities in Iraq by using hourly experimental weather data (solar irradiance, wind speed, and ambient temperature). The experimental data was measured for the period from 1st January to 31st December of the year 2019, where the simulation process was performed at a 1 h time step resolution at the same resolution as the experimental data. There are two positionings considered for solar photovoltaic modules: (i) annual optimum tilt angle and (ii) two-axis tracking system. The effect of the ambient temperature and wind on the overall system energy generated was taken into consideration. The study is targeted at evaluating the potential solar energy in Iraq and the viability of electricity generation using a 20 MW solar photovoltaic power plant. The results showed that the overall performance of the suggested power plant capacity is highly dependent on the solar irradiance intensity and the ambient temperature with wind speed. The current 20 MW solar photovoltaic power plant capacity shows the highest energy that can be generated in the mid-western region and the lowest in the northeast regions. The greatest influence of the ambient temperature on the energy genrated by power plants is observed in the southern regions.

scholarly journals Feasibility analysis of hybrid electricity generation system by HOMER for Mauritanian northern coast

2018 ◽  
Vol 13 (8) ◽  
pp. 120-131
Author(s):  
Soukeyna M. ◽  
B. Ramdhane I. ◽  
Ndiaye D. ◽  
Elmamy M. ◽  
M. Menou M. ◽  
...  
Keyword(s):  
Electricity Generation ◽  
Feasibility Analysis ◽  
Northern Coast ◽  
Generation System

Simulation of the wind fields over complex terrain with coupling of CFD and WRF

2021 ◽  
pp. 1-12
Author(s):  
Xiaoyu Luo ◽  
Yiwen Cao
Keyword(s):  
Wind Speed ◽  
Wind Field ◽  
Complex Terrain ◽  
Civil Engineering ◽  
Meteorological Data ◽  
Mass Conservation ◽  
Coupling Method ◽  
Wind Fields ◽  
Civil Structures ◽  
Civil Engineers

In the field of civil engineering, the meteorological data available usually do not have the detailed information of the wind near a certain site. However, the detailed information of the wind field during typhoon is important for the wind-resistant design of civil structures. Furthermore, the resolution of the meteorological data available by the civil engineers is too coarse to be applicable. Therefore it is meaningful to obtain the detailed information of the wind fields based on the meteorological data provided by the meteorological department. Therefore, in the present study, a one-way coupling method between WRF and CFD is adopted and a method to keep the mass conservation during the simulation in CFD is proposed. It is found that using the proposed one-way coupling method, the predicted wind speed is closer to the measurement. And the curvature of the wind streamline during typhoon is successfully reproduced.

scholarly journals Analysis of Ozone Pollution Characteristics and Influencing Factors in Northeast Economic Cooperation Region, China

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 843
Author(s):  
Jiaqi Tian ◽  
Chunsheng Fang ◽  
Jiaxin Qiu ◽  
Ju Wang
Keyword(s):  
Wind Speed ◽  
Sunshine Duration ◽  
Meteorological Data ◽  
Economic Cooperation ◽  
Ozone Pollution ◽  
Temporal And Spatial Variation ◽  
Temporal And Spatial ◽  
Pm2.5 And Pm10 ◽  
Peak Pattern ◽  
Pm2.5 Concentration

The increase in tropospheric ozone (O3) concentration has become one of the factors restricting urban development. This paper selected the important economic cooperation areas in Northeast China as the research object and collected the hourly monitoring data of pollutants and meteorological data in 11 cities from 1 January 2015 to 31 December 2019. The temporal and spatial variation trend of O3 concentration and the effects of meteorological factors and other pollutants, including CO (carbon monoxide), SO2 (sulfur dioxide), NO2 (nitrogen dioxide), and PM2.5 and PM10 (PM particles with aerodynamic diameters less than 2.5 μm and 10 μm) on ozone concentration were analyzed. At the same time, the variation period of O3 concentration was further analyzed by Morlet wavelet analysis. The results showed that the O3 pollution in the study area had a significant spatial correlation. The spatial distribution showed that the O3 concentration was relatively high in the south and low in the northeast. Seasonally, the O3 concentration was the highest in spring, followed by summer, and the lowest in winter. The diurnal variation of O3 concentration presented a “single peak” pattern. O3 concentration had a significant positive correlation with temperature, sunshine duration, and wind speed and a significant anticorrelation with CO, NO2, SO2, and PM2.5 concentration. Under the time scale of a = 9, 23, O3 had significant periodic fluctuation, which was similar to those of wind speed and temperature.

Statistical Analysis of Weather Effects on PM2.5

2012 ◽  
Vol 610-613 ◽  
pp. 1033-1040
Author(s):  
Wei Dai ◽  
Jia Qi Gao ◽  
Bo Wang ◽  
Feng Ouyang
Keyword(s):  
Statistical Analysis ◽  
Wind Speed ◽  
Relative Humidity ◽  
Statistical Methods ◽  
Predictive Analytics ◽  
Hypothesis Test ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Statistical Distribution ◽  
Weather Effects

Effects of weather conditions including temperature, relative humidity, wind speed, wind and direction on PM2.5 were studied using statistical methods. PM2.5 samples were collected during the summer and the winter in a suburb of Shenzhen. Then, correlations, hypothesis test and statistical distribution of PM2.5 and meteorological data were analyzed with IBM SPSS predictive analytics software. Seasonal and daily variations of PM2.5 have been found and these mainly resulted from the weather effects.

scholarly journals Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil

2018 ◽  
Vol 22 (2) ◽  
pp. 83-89 ◽  
Author(s):  
Gustavo H. da Silva ◽  
Santos H. B. Dias ◽  
Lucas B. Ferreira ◽  
Jannaylton É. O. Santos ◽  
Fernando F. da Cunha
Keyword(s):  
Wind Speed ◽  
Solar Radiation ◽  
Standard Method ◽  
Reference Evapotranspiration ◽  
Meteorological Data ◽  
Air Humidity ◽  
Method Performance ◽  
Relative Air Humidity ◽  
Evapotranspiration Estimation ◽  
Missing Variables

ABSTRACT FAO Penman-Monteith (FO-PM) is considered the standard method for the estimation of reference evapotranspiration (ET0) but requires various meteorological data, which are often not available. The objective of this work was to evaluate the performance of the FAO-PM method with limited meteorological data and other methods as alternatives to estimate ET0 in Jaíba-MG. The study used daily meteorological data from 2007 to 2016 of the National Institute of Meteorology’s station. Daily ET0 values were randomized, and 70% of these were used to determine the calibration parameters of the ET0 for the equations of each method under study. The remaining data were used to test the calibration against the standard method. Performance evaluation was based on Willmott’s index of agreement, confidence coefficient and root-mean-square error. When one meteorological variable was missing, either solar radiation, relative air humidity or wind speed, or in the simultaneous absence of wind speed and relative air humidity, the FAO-PM method showed the best performances and, therefore, was recommended for Jaíba. The FAO-PM method with two missing variables, one of them being solar radiation, showed intermediate performance. Methods that used only air temperature data are not recommended for the region.

Review on Meteorological Detector in Highway Mechanical and Electrical Engineering

2013 ◽  
Vol 712-715 ◽  
pp. 2015-2020
Author(s):  
Xu Jia ◽  
Wei Zhi Ding
Keyword(s):  
Wind Speed ◽  
Data Collection ◽  
Traffic Safety ◽  
Traffic Management ◽  
Meteorological Data ◽  
Electrical Engineering ◽  
Future Trend ◽  
Management Level ◽  
Key Issues ◽  
Working Principle

Meteorological data collection and monitoring is widely adopted in the traffic industry. Meteorological monitoring can ensure traffic safety and improve the traffic management level. According to the detection type the system is divided into several types: pavement visibility detector, road conditions detector, rainfall detector, wind speed and direction detector, etc. Subsequently the advantages and drawbacks or system working principle of various types are compared. Meanwhile the key issues and the future trend of development are presented.

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