Top PDF Wind Data Collection and Analysis in Kumasi

Wind Data Collection and Analysis in Kumasi

Wind Data Collection and Analysis in Kumasi

Abstract -- This paper contributes to the effort being made by The Energy Center (TEC), KNUST and African Union Commission to disseminate knowledge of Renewable Energy Technologies (RETs) and as well increase the awareness of the general public especially the youth of Africa in RETs by measuring the average wind speed and direction of a selected project site (designated Site 0001) on the campus of Kwame Nkrumah University of Science and Technology (KNUST). In order to generate a comprehensive wind data report for Site 0001 on KNUST campus a building-integrated hybrid mast (placed at a height of 20 m above ground level), NRG Wind instruments and data retriever as well as Stata, Microsoft Excel and WAsP software were employed. The wind data provided in this paper include monthly and annual average wind speeds, monthly wind gusts, prevailing wind direction and turbulence intensity of air flow among other parameters for Site 0001 on KNUST campus. The wind data made available by this paper can be used by both students and the general public alike for educational and agricultural purposes, air pollution and small wind turbine assessments in Kumasi.
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An Analysis of the Plastic Waste Collection and Wealth Linkages in Ghana

An Analysis of the Plastic Waste Collection and Wealth Linkages in Ghana

The Kumasi Metropolitan Assembly for instance does not play a direct role in plastic waste recycling and that they mainly focus on collection, storage, transportation, and disposal of plastic waste. As a consequence, most of the collection of plastic for reuse and recovery in the city is performed by the informal sector in the absence of the government provision. The organization of the recovery system has a complex structure including different waste generators such as households, institutions and industries, and continuing with systems for reuse, separation, collection, buying and selling of recyclables, transformation, use of recyclables and final disposal. Again, the research revealed that in Ghana, per capita generation of plastic wastes stands at 0.016–0.035 kg/person/day, and plastics make up between 18–20% of the component materials in the waste stream. A 2012 statistics from the Association of Sachet water Producers revealed that there are 895 plastic manufacturing companies and sachet water manufacturers in the country, producing about 26,000 metric tonnes of assorted plastic products annually, with 90 per cent of the companies in the Accra, Tema and the Kumasi metropolises. This by implication means that more plastic waste is produced in the three metropolitan areas. This is because of their population sizes, incomes and standard of living. It is therefore not surprising that statistics from the KMA reveals that the number of waste collectors in the three cities is substantially high as compared to the other cities.
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Characteristics of Diverted Solid Waste in Kumasi: A Ghanaian City

Characteristics of Diverted Solid Waste in Kumasi: A Ghanaian City

Abstract: Waste diversion from landfills has generally been neglected in the developing world despite its potential to prolong the lifespan of landfills and generate revenues. This study aims at characterizing diverted solid waste fractions at communal collection points in seven communities and determining the trends in landfilled solid waste due to the Pay-As-You-Throw (PAYT) mechanism. It is based on quantitative measurements of diverted waste by informal waste pickers at communal collection points in seven communities in the Kumasi metropolis and analysis of landfilled waste records prior to and after the introduction of the PAYT mechanism. The study shows a daily diversion rate of 19.4±9.2kg per informal waste picker per day with no statistically significant difference (p = 0.29). This constitutes just 0.5w/w% of the total waste stream at communal collection points. The diverted waste is dominated by plastics (50%) and metals (29%). Generally, the diverted waste quantities are hugely dependent on the storage capacities of the informal waste pickers while the types of recovered items depend on readily available market. The introduction of the PAYT system, as observed from the study, immediately caused a decline (28%) in waste disposed of at communal collection points but steadily appreciated with time (26% and 13% consecutive reductions in subsequent years). The study recommends support for the informal sector, Public-Private Partnerships for waste recycling and intensive public education on PAYT mechanism prior to and after its introduction.
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Wind Energy Potential for Karachi (Pakistan) and Estimation of Weibull Distribution function parameters

Wind Energy Potential for Karachi (Pakistan) and Estimation of Weibull Distribution function parameters

distribution function, Weibull parameters were estimated using six statistical methods, i.e., MLE, MLM, MMLM, MoM, EM, and EPFM. Tables 1 and 2 give mean monthly wind speeds for Karachi at 0000 hours and 1200 hours. Table 3 lists calculated mean wind speed, the standard deviation, skewness and Kurtosis at 0000 hours and 1200 hours, respectively. Table 4 lists the statistical results of the six numerical methods of estimation of Weibull shape and scale parameters. Columns 2-5 list the calculated Weibull parameters, i.e., shape parameter k, scale parameter c, Weibull mean wind speed, Weibull energy density. Columns 6-8 list values of three statistical tests for each of the six estimation methods. Tables 5-8 give a comparative account between actual and measured wind parameters where k and c are measured using the four methods of estimation, i.e. MLM, MMLM, MoM and EM. Columns 2 and 3 list the estimated mean monthly k and c values, columns 4 and 5 list the actual or observed mean monthly velocity and standard deviation, columns 6 and 7 list the measured Weibull mean wind speed and columns 8 and 9 list wind power densities using actual wind speed and measured k and c values. Columns 2 to 9 list values of wind speed measured daily at 0000 hours and whereas columns 10 to 17 list similar measurements but wind speed measured at 1200 hours daily. Tables 9-11list the relative errors between the actual weibull parameters and Weibull parameters estimated using Monte Carlo simulation of wind speed data after repeating 100 times, each containing 100, 1000 and 10000 data points.
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Comparison of Wind Energy Potential using Different Mathematical Methods for Pasni, (Pakistan)

Comparison of Wind Energy Potential using Different Mathematical Methods for Pasni, (Pakistan)

For wind speed data, Weibull distribution graphical method and lognormal models were used by Garcia et al. (1998) [3]. The modified maximum likelihood method (MMLM) recommended by Seguro and Lambert (2000) [4] for the assessment of Weibull parameters using the time series wind data. This was based on a limited number of wind speed data of three days and he suggested that the true evaluation of the method requires many months/years of measured wind speed data. Sulaiman etal. (2002) [5] used the graphical method for determining the Weibull parameters Wind characteristics for Oman. Several authors have used various statistical methods to assess Weibull parameters, for example, the widely used empirical method (EM), maximum likelihood method (MLM), method of moment (MoM), modified maximum likelihood method (MMLM), and energy pattern factor method (EPFM) [6-15].
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Qualitative Data Collection and Analysis Methods: The INSTINCT Trial

Qualitative Data Collection and Analysis Methods: The INSTINCT Trial

Initial versions of the discussion guides for the focus groups and guided interviews were developed to identify presumed barriers to tPA use, as well as to explore indi- vidual beliefs and attitudes toward stroke treatment. The focus group facilitators met, reviewed, and revised the guide before the champions meeting. After completion of the champions meeting, they met again and discussed each of the guide questions. Deletions of less useful ques- tions and reorganization of the discussion guide oc- curred, and a final draft was developed for use at the future on-site focus groups. Thus, the champions meet- ing served as a pilot test for the final on-site EP and nurs- ing discussion guide. Selected excerpts from the focus group discussions guide used for the champions meeting are available as an online Data Supplement (at http:// www.aemj.org/cgi/content/full/j.aem.2007.05.005/DC1). In addition, based on the comments regarding barriers from the champions meeting participants, we modified the discussion guides to be used for interviews with radi- ologists, neurologists, and administrators. For example, commonly discussed barriers regarding computed to- mography scanning and interpretation provided addi- tional questions for on-site interviews with radiologists.
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Observed Wind Climate and Weibull Distribution at RGPV Energy Park, Bhopal (India) Using WAsP

Observed Wind Climate and Weibull Distribution at RGPV Energy Park, Bhopal (India) Using WAsP

The present work is based on the time series of wind speed data in meter per second (m/s) and the direction in degrees were recorded from Energy Park, RGPV (Bhopal, India) site located at 77.36114°E Longitude and 23.31192°N Latitudes for 2013 at two heights using cup anemometer at 20 m and 40 m. The measurement site lies at an elevation of 514 m above mean sea level consisting of 16419 sets of readings. A map of above mentioned site with elevations of the region is shown in Figure 1 below.

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Data Collection and Analysis in the Air Travel Planning Domain

Data Collection and Analysis in the Air Travel Planning Domain

DATA COLLECTION AND ANALYSIS IN THE AIR TRAVEL PLANNING DOMAIN D A T A C O L L E C T I O N A N D A N A L Y S I S IN T H E AIR T R A V E L P L A N N I N G D O M A I N Jacqueline C Kowtko, Patti J Price[.]

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Seismic Data Collection with Shakebox and Analysis Using MapReduce

Seismic Data Collection with Shakebox and Analysis Using MapReduce

In the past decade, the MapReduce programming model [10] has emerged as a popular framework for large data set analysis. The key idea of MapReduce is to divide the data into chunks, which are processed in parallel. Several open source MapReduce frameworks have been developed in the last years. In particular, Hadoop [11], the most prevalent implementation of MapReduce, has been extensively used by companies and research com- munities on a very large scale. In this paper, we adopt Hadoop and MapReduce for the data process and show and analyze our experimental results. Specifically, we design Map and Reduce functions that suit for the appli- cation of seismic big data.
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Collection and Analysis of data for Inter-domain Traffic Engineering

Collection and Analysis of data for Inter-domain Traffic Engineering

Network operators are not always aware of the traffic distribution that would occur in a network after failure events. By using the data described in Section 2, operators can study the impact of failures of single hardware elements. If the ISP has safe knowledge of groups of hardware that could fail simultaneously (Section 2.4), a more complete analysis of network failure can be performed [Kiese et al. 2009]. For Outbound traffic, network operators might need to simulate the BGP decision process. For inbound traffic, an AS should also consider the relationships and policies of external ASes to improve their traffic estimations. Since the simulation of the network under different failures is challenging, ISPs should use historical data to assess the quality of their estimations. Operators could obtain this data, for instance, by storing routing and traffic data when the network is under maintenance.
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Statistical analysis of wind and rainfall with functional data analysis technique

Statistical analysis of wind and rainfall with functional data analysis technique

4.1 Descriptive Statistics of Daily Mean Wind-Rainfall for 10 Stations 34 4.2 Analysis Deviance of Daily Mean Wind Speed for Mersing 36 4.3 Analysis Deviance of Daily Mean Rainfall Data for Kuala Krai 36 4.4 Number of Basis Functions for Wind and Rainfall Data 37 4.5 Values of Lambda, Degrees of Freedom and GCV for Temerloh and

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Data Collection and Analysis in a Pan European Electric Vehicle Fleet

Data Collection and Analysis in a Pan European Electric Vehicle Fleet

Electric vehicles can provide a means of establishing cleaner transport networks and potentially more efficient energy generation systems. Achieving these goals requires in depth knowledge of the effects of EV integration on both systems in order to predict and control energy demand when operating on a massive scale. Considerations such as local energy mix, policies and incentives will influence both the uptake and effects of electric vehicles. This paper presents a preliminary look at the data collection and analysis work that is ongoing in the Green eMotion project. Data is collected from a large European fleet distributed over several distinct regions, with the aim of gaining an understanding of EV users need for infrastructure and associated energy usage levels. Early results indicate that there are considerable differences in energy demand and infrastructure usage patterns depending on the primary use of the EV and charging equipment. This information will be valuable when predicting and planning for future energy demands. Further differences in usage patterns may be identified through regional analysis of EV fleet data, taking into consideration local policy and energy tariff information. This analysis will provide deeper insights into the likely effects of a large EV fleet and also possible methods for regulating EV energy demands through policy and infrastructure planning.
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Smoothing wind and rainfall data through functional data analysis technique

Smoothing wind and rainfall data through functional data analysis technique

Generally, the wind in Malaysia is light and varies; however, some periodic changes in the wind flow patterns could influence the rainfall distribution. A strong wind is expected to bring heavy rainfall at the location. Our main objective in this study is to use FDA technique in representing the rainfall and wind data in the form of smoothing curves since wind and rainfall data are recorded as daily observations at a discrete time interval. FDA isused to represent the data in a way that could give information on the pattern and variation of the data and make use of the information in the slopes and curvatures of curves that are reflected in their derivatives. The smooth curve from FDA can then be used to compare rainfall and wind variability between regions. Contour plot of bivariate rainfall and wind could establish the relationship between both smoothing climate variables.
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Predictive Data Collection and Analysis for Placement Using CodeIgniter Framework

Predictive Data Collection and Analysis for Placement Using CodeIgniter Framework

be done manually. Existing systems lack security, are tedious and time consuming which involves more man power, consumes large volume of paper and requires huge amount of storage space to dump the data, searching individual student information was troublesome. This process becomes more difficult when the database of number of students increase. B. PROPOSEDSYSTEM

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A Procedure for Rapid Collection, Processing, and Analysis of Line Intercept Data.

A Procedure for Rapid Collection, Processing, and Analysis of Line Intercept Data.

On any one transect a given species may have occurred several times, thus several cards contained data for that species on the line. In addition to printing[r]

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A Research Study of Data Collection and Analysis of Semantics of Programming Languages

A Research Study of Data Collection and Analysis of Semantics of Programming Languages

Perl language is file management language for Unix. Other than it is more famous for its common gateway interface programming (CGI). It is a idiom for programs so as web servers shall represent to permit additional abilities of web pages. Pearl language is a technique for presenting text and it is used for useful purposes and additional databases, and it is extremely simple to choose the basic if we have several language over C++ language. Since, the web host shall analysis Perl script files because they are text files, when C++ is compiled.
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Through the viewfinder: reflecting on the collection and analysis of classroom video data

Through the viewfinder: reflecting on the collection and analysis of classroom video data

themes to represent what is happening. This was an important consideration because case studies provide the reader with a rich, multi-dimensional picture illustrating the relationships, issues, and patterns occurring within the two classrooms (Bell, 2005). Furthermore, case studies highlight the value of using a more qualitative approach to the research process, and according to Merriam (1998), case studies are chosen when “researchers are interested in insight, discovery and interpretation rather than hypothesis testing” (p. 10). If the study remained confined within a prescribed framework, the representation would perhaps resemble a flat, two-dimensional image, not revealing the full story. This inductive approach enabled these constructs to emerge out of the data rather than be imposed on the data prior to collection and analysis (Patton, 2002). The focus on emergent interpretations, rather than on existing theories, is a legitimate approach to data analysis that is based in grounded theoretical understandings of research (Corbin & Strauss, 2008).
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Triangulation in data collection

Triangulation in data collection

the police, with another four stating that they had been kept on hold or that the police had taken a long time to answer their call (n = 70).  The large majority of the sample noted t[r]

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Impact of Wind Energy System Integration on the Al Zawiya Refinery Electric Grid in Libya

Impact of Wind Energy System Integration on the Al Zawiya Refinery Electric Grid in Libya

Libya is an oil exporting country located in the middle of the North Africa. Exporting oil is the major income resource for the economics of the country. Al-Zawea refinery is one of the oil refineries in Libya. It is the largest refinery in the region. The refinery located in the Mediterranean coast. Electricity is the main sector in the refinery to produce and export oil. This paper discusses the possibility of the penetration of the renewable energy (wind) generated electricity into the refinery power system. Al- though, renewable energy application in Libya was started in the middle of the se- venties, it has still not found its way into industry sector. This study proposes the possible impacts of renewable (wind) energy system integration on the Al-Zawea re- finery electric grid to satisfy the refinery load demand.
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Analysis of erroneous data entries in paper based and electronic data collection

Analysis of erroneous data entries in paper based and electronic data collection

from a “missing not at random” (MNAR) pattern [6]. Both systems provided the possibility to enter a nega- tive response reflecting that data had not been collected rather than leaving variables blank, however this was frequently not applied and at significantly greater pro- portion in the PBDC system. Data omissions were found most frequently among categorical data, which were entered by ticking a box on the paper form and then dur- ing digitalization by entering a single digit from a drop- down menu in Epidata or by ticking a box in the AKVO system. Accordingly, categorical data are easy and fast to enter, but result in an increased risk of data omission, especially when data are entered in bulk, as was the case for the PBDC method.
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