scholarly journals ISO 9001 aspects related to performance and their level of implementation

2016 ◽  
Vol 9 (5) ◽  
pp. 1090 ◽  
Author(s):  
Jordi Castello Dalmau ◽  
Gerusa Gimenez ◽  
Rodolfo De Castro

Purpose: In the last three decades, thousands of companies around the world have embraced the ISO 9001 standard in their quest to improve company performance and customer satisfaction. In recent literature, a number of authors have identified different “levels” of ISO 9001 implementation. This study aims to analyse these implementation levels in companies from the point of view of the customer, and provide guidelines for future improvement.Design/methodology/approach: Research was conducted based on the results of the second-party audits (SPAs) of 90 suppliers, (including component suppliers, assemblers, and wind farm operation and maintenance services), to one of the wind power industry’s largest wind turbine manufacturers. The audits were carried out within the ISO 9001:2008 framework and conducted by one of this study’s authors in his role as the wind turbine company’s Director of Global Quality.Findings: Auditing suppliers plays a unique role in helping to isolate system weaknesses, identify opportunities and suggest areas for improvement. This study shows that, in terms of management commitment and culture and the good practices of an organization, ISO 9001 certified companies implement differing degrees of the standard. From the results of this research, a "road map" towards improvement can be established; one that allows companies in the sector to go beyond simply being accredited with the standard and instead to take advantage of ISO 9001 certification as a catalyst for change.Research limitations/implications: This article focuses only on the wind power sector, although its findings could be extrapolated to similar sectors of high technology and high levels of customization.Originality/value: While quality audits are a customary topic for academics and researchers, few contributions are related to SPAs and their impact on the quality control process of company suppliers. Primary data from the SPAs of suppliers (objective data collected by one of the paper’s authors), was used here and is one of the most valuable aspects of this paper’s contribution.

2013 ◽  
Vol 2 (2) ◽  
pp. 69-74 ◽  
Author(s):  
A.K. Rajeevan ◽  
P.V. Shouri ◽  
Usha Nair

A wind turbine generator output at a specific site depends on many factors, particularly cut- in, rated and cut-out wind speed parameters. Hence power output varies from turbine to turbine. The objective of this paper is to develop a mathematical relationship between reliability and wind power generation. The analytical computation of monthly wind power is obtained from weibull statistical model using cubic mean cube root of wind speed. Reliability calculation is based on failure probability analysis. There are many different types of wind turbinescommercially available in the market. From reliability point of view, to get optimum reliability in power generation, it is desirable to select a wind turbine generator which is best suited for a site. The mathematical relationship developed in this paper can be used for site-matching turbine selection in reliability point of view.


2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Zahid Hussain Hulio

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.


2013 ◽  
Vol 14 (3) ◽  
pp. 207-218 ◽  
Author(s):  
Kazuki Ogimi ◽  
Shota Kamiyama ◽  
Michael Palmer ◽  
Atsushi Yona ◽  
Tomonobu Senju ◽  
...  

Abstract In order to solve the problems of global warming and depletion of energy resource, renewable energy systems such as wind generation are getting attention. However, wind power fluctuates due to variation of wind speed, and it is difficult to perfectly forecast wind power. This paper describes a method to use power forecast data of wind turbine generators considering wind power forecast error for optimal operation. The purpose in this paper is to smooth the output power fluctuation of a wind farm and to obtain more beneficial electrical power for selling.


Author(s):  
E. Muljadi ◽  
C. P. Butterfield

Wind power generation has increased very rapidly in the past few years. The total U.S. wind power capacity by the end of 2001 was 4,260 megawatts. As wind power capacity increases, it becomes increasingly important to study the impact of wind farm output on the surrounding power networks. In this paper, we attempt to simulate a wind farm by including the properties of the wind turbine, the wind speed time series, the characteristics of surrounding power network, and reactive power compensation. Mechanical stress and fatigue load of the wind turbine components are beyond the scope this paper. The paper emphasizes the impact of the wind farms on the electrical side of the power network. A typical wind farm with variable speed wind turbines connected to an existing power grid is investigated. Different control strategies for feeding wind energy into the power network are investigated, and the advantages and disadvantages are presented.


2009 ◽  
Vol 11 (01) ◽  
pp. 69-95 ◽  
Author(s):  
ALASTOR M. COLEBY ◽  
DAVID R. MILLER ◽  
PETER A. ASPINALL

Research for this paper was undertaken into the relationship between public opinion on wind power and public participation in turbine site planning and design. The research focussed on the contribution of environmental attitude studies to participatory environmental impact assessment of renewable energy policy and land use. A questionnaire survey was undertaken at wind farm sites at three stages in the site planning process and at three public events where the application of wind power was a topic of discussion. The attitudinal data produced was subjected to a series of statistical tests to determine which of the attitudes revealed could be quantified significantly in terms of public opinion. The most significant responses related to the proximity of wind turbines to respondents' homes with the proposition that wind turbine designers should seek community input of the highest significance. Respondents also indicated a preference for traditional turbine structures that blended in with the landscape and remained out of sight. Respondents' personal perception of land use change regarding wind power near them was mostly significant relative to respondent age with younger respondents tending to be more accepting of wind turbine land use whilst older respondents objected. Living place was also found to be significant with urban respondents more accepting of wind power than rural ones. Fundamentally respondents although polarised for or against on certain issues, all shared a wish for more public input and participation in local land use for wind power.


2003 ◽  
Vol 27 (3) ◽  
pp. 205-213 ◽  
Author(s):  
Niels Raben ◽  
Martin Heyman Donovan ◽  
Erik Jørgensen ◽  
Jan Thisted ◽  
Vladislav Akhmatov

An experiment with tripping and re-connecting a MW wind turbine generator was carried out at the Nøjsomheds Odde wind farm in Denmark. The experimental results are used primarily to validate the shaft system representation of a dynamic wind turbine model. The dynamic wind turbine model is applied in investigations of power system stability with relation to incorporation of large amounts of wind power into the Danish power grid. The simulations and the measurements are found to agree. The experiment was part of a large R&D program started in Denmark to investigate the impact of the increasing capacity of wind power fed into the Danish power grid.


2018 ◽  
Vol 27 (2) ◽  
pp. 63
Author(s):  
José C. Pérez S. ◽  
José L. Arriola P. ◽  
Max L. Espinal M.

El presente artículo inicia dando a conocer las variables meteorológicas de un parque eólico. Posteriormente se analizan las ecuaciones que determinan la ley de Betz y la distribución Weibull esto con el fin de comprender la cantidad de energía y horas aprovechadas por un aerogenerador, se continúa con el factor de carga de un parque eólico. Finalmente se muestra la influencia de la rugosidad del terreno en la variación del viento y la selección de la zona de emplazamiento. Palabras clave.- Potencial eólico, Ley de Betz, Distribución de Weibull, factor de carga, rugosidad. ABSTRACT The present work begins by describing the meteorological variables of a wind farm. Subsequently, the equations defining Betz's law and the Weibull distribution are analyzed, in order to understand the amount of power and time of operation available from a wind turbine, as well as the load factor of a wind farm. Finally, the influence of surface roughness on wind variation and the selection of a proper location are discussed. Keywords.- wind power, Betz's law, Weibull distribution, load factor, surface roughness.


Author(s):  
Ali, Hassana Oseiwu ◽  
Orumbe, Seth Obafemi

This research is an analysis of quality control process on paper production on the soft roll production process of Bel Papyrus Ltd located in Ogba, Lagos State, Nigeria. The research was done with the aim of determining the conformity of the industry’s product to quality standard, identifying and eliminating the possible causes of variation in their production process, with reference to Percentage Elongation. The researchers used primary data in form of periodic laboratory test result done on soft rolls.Data presentations were made using simple statistical tools like Mean, Ranges, Standard Deviations, and Tables reflecting the primary data obtained at equal interval of production. The researchers made use of variable control charts for the purpose of analysis. The


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xiafei Long ◽  
Shengqing Li ◽  
Xiwen Wu ◽  
Zhao Jin

This article presents a novel fault diagnosis algorithm based on the whale optimization algorithm (WOA)-deep belief networks (DBN) for wind turbines (WTs) using the data collected from the supervisory control and data acquisition (SCADA) system. Through the domain knowledge and Pearson correlation, the input parameters of the prediction models are selected. Three different types of prediction models, namely, the wind turbine, the wind power gearbox, and the wind power generator, are used to predict the health condition of the WT equipment. In this article, the prediction accuracy of the models built with these SCADA sample data is discussed. In order to implement fault monitoring and abnormal state determination of the wind power equipment, the exponential weighted moving average (EWMA) threshold is used to monitor the trend of reconstruction errors. The proposed method is used for 2 MW wind turbines with doubly fed induction generators in a real-world wind farm, and experimental results show that the proposed method is effective in the fault diagnosis of wind turbines.


2020 ◽  
Vol 12 (5) ◽  
pp. 816 ◽  
Author(s):  
María V. Alba-Fernández ◽  
Francisco J. Ariza-López ◽  
José Rodríguez-Avi ◽  
José L. García-Balboa

The goal of this work is to present a set of statistical tests that offer a formal procedure to make a decision as to whether a set of thematic quality specifications of a product is fulfilled within the philosophy of a quality control process. The tests can be applied to classification data in thematic quality control, in order to check if they are compliant with a set of specifications for correctly classified elements (e.g., at least 90% classification correctness for category A) and maximum levels of poor quality for confused elements (e.g., at most 5% of confusion is allowed between categories A and B). To achieve this objective, an accurate reference is needed. This premise entails changes in the distributional hypothesis over the classification data from a statistical point of view. Four statistical tests based on the binomial, chi-square, and multinomial distributions are stated, to provide a range of tests for controlling the quality of product per class, both categorically and globally. The proposal is illustrated with a complete example. Finally, a guide is provided to clarify the use of each test, as well as their pros and cons.


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