Decision Criteria for Optimal Location of Wind Farms

Author(s):  
Juan Miguel Sánchez-Lozano ◽  
M. Socorro García-Cascales ◽  
María T. Lamata ◽  
Carlos Sierra

The objective of the present chapter is to obtain the weights of the criteria that influences a decision problem of vital necessity to the current energy perspectives, which is the optimal localisation of wind farms. The location problem posed presents a hierarchical structure on three levels. The objective or goal to be achieved is in the top level, that is to say the optimal location of wind farms. The second level is constituted by the general criteria that influences the decision and which are the environmental, orographic, location, and climate criteria. These general criteria are then divided into sub-criteria, which constitute the third level of the hierarchy. The information provided by the criteria are of different natures, with qualitative-type criteria coexisting with quantitative-type criteria, and therefore, linguistic labels and numerical values are employed to model, by means of fuzzy triangular numbers, the importance coefficients of the criteria. In order to compare different models for extracting the knowledge, two surveys are prepared based on the Fuzzy AHP methodology, which are submitted to experts in the specific field.

Author(s):  
Klaus D. Goepel

The analytic hierarchy process (AHP) remains a popular multi-criteria decision method. One topic under discussion of AHP is the use of different scales to translate judgments into ratios. The author makes a new approach to compare different scale functions and to derive a recommendation for the application of scales. The approach is based on simple analytic functions and takes into consideration the number of criteria of the decision problem. A generalization of the so-called balanced scale is proposed, and a new adaptive-balanced scale is introduced. Scales are then categorized and compared based on weight boundaries and weight ratios, weight uncertainties, weight dispersion and number of decision criteria. Finally, a practical example of a decision hierarchy is presented applying the different scales. The results show that the generalized balanced scale improves weight dispersion and weight uncertainty in comparison to the fundamental AHP scale. The proposed adaptive-balanced scale overcomes the problem of a change of the maximum weight depending on the number of decision criteria.


1987 ◽  
Vol 1 (1) ◽  
pp. 185-191 ◽  
Author(s):  
Barry Nalebuff

Each “Puzzles” will begin with a few speed problems. These puzzles have answers provided in the same issue. Puzzles 1 and 2 will give you a chance to get up to speed. Then, we continue with longer puzzles taken from two very broadly defined categories: strategy puzzles and theory puzzles. Strategy puzzles will give the readers an opportunity to compete against each other in problems of coordination and competition. The third puzzle, a noisy prisoner's dilemma tournament, falls dead center in this category. Theory puzzles are meant to offer mathematical problems that have an economic interpretation. The fourth puzzle, an optimal location problem, is in this category.


2018 ◽  
Author(s):  
◽  
Tung-Ying Wu

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] "This dissertation is a combination of three different projects. The first project investigates the history of philosophy: Kant's refutation of idealism. In this project I propose a more plausible interpretation of Kant's argument against idealism. Next, the second project investigates ethical theory: the ideal observer view. There, I criticize an argument for ideal observer view as untenable. Finally, the third project investigates decision theory: the decision problem: Psycho Buttons. I argue that causal decision theory supplemented with Full Information does not lead to intransitivity in Psycho Buttons. In this chapter I present an introduction to each project." --Introduction


Hydrology ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 51 ◽  
Author(s):  
Khamis Sayl ◽  
Ammar Adham ◽  
Coen J. Ritsema

In order to select suitable rainwater harvesting sites within the study area, rainwater harvesting criteria needed to be determined, defined, and structured. Several criteria played an important role in selecting the most suitable rainwater harvesting sites. A multicriteria analysis (MCA) approach, which is widely used to classify potential rainwater harvesting sites, was chosen to help select potential sites in the Wadi Horan region of Iraq. An MCA approach offered a systematic methodology focused on mathematics as well as professional expertise to organize and evaluate complex decisions. Unfortunately, there is no method for choosing among them the most appropriate for a given decision problem, as the choice remains a subjective task. This study used a geographic information system (GIS)-based approach with remote sensing to identify the optimal sites for rainwater harvesting. Four indices: evaporation, cost–benefit, sediment, and hydrology were selected in order to compare the potential sites. The analytic hierarchy process (AHP), fuzzy AHP, and rank order method (ROM) were used to assign weight to the study criteria. The results were then compared using a statistical (variance inverse (VI)) method. A sensitivity analysis was done to test the uncertainties and robustness of the results for each method. The results showed that the ROM and VI methods affected the ranking priority and considered all of the criteria that were sensitive to impact in the ranking process at the different levels compared to the methods of AHP and fuzzy AHP.


2021 ◽  
Vol 14 (1) ◽  
pp. 358
Author(s):  
Amr S. Zalhaf ◽  
Bahaa Elboshy ◽  
Kotb M. Kotb ◽  
Yang Han ◽  
Abdulrazak H. Almaliki ◽  
...  

Wind energy is one of the most attractive sustainable energy resources since it has low operation, maintenance, and production costs and a relatively low impact on the environment. Identifying the optimal sites for installing wind power plants (WPPs) is considered an important challenge of wind energy development which requires careful and combined analyses of numerous criteria. This study introduces a high-resolution wind farms suitability mapping based on Fuzzy Analytical Hierarchy Process (FAHP) and Geographic Information System (GIS) approaches considering technical, environmental, social, and spatial aspects, representing eight different criteria. First, a multi-criteria decision-making analysis based on the FAHP method is employed to assign appropriate weights for the addressed criteria with respect to their relative importance. Since the traditional AHP method, which was found employed in the majority of the relative case-studies, is not efficient in dealing with uncertainty when experts use a basic scale (0 to 1) for their assessments, the FAHP provides more flexible scales through the utilized fuzzy membership functions and the natural linguistic variables. Consequently, this helps to facilitate the assessments made by experts and increases the precision of the obtained results (weights). Next, the high-resolution GIS is used to carry out a spatial analysis and integrate various factors/criteria throughout the proposed index to produce the final suitability map and identify the unsuitable areas. The presented study emphasizes investigating the lightning strike flash rate due to its significant influences on the wind turbine’s safety and operation, yet this crucial factor has been seldomly investigated in previous studies. The obtained findings revealed that the wind speed, the land slope, and the elevation had the highest weighted criteria with 33.1%, 24.8%, and 12.2%, respectively. Besides, the final-developed suitability map revealed that 23.22% and 8.31% of the Sudanese territory are of high and very high suitability, respectively, for wind farms installation which are considered sufficient to cover the electricity needs. The difficulty of acquiring real data and resources for the addressed location was the main challenge of the presented work. The work outlook addresses the suitability mapping of hybrid photovoltaic-wind turbine energy systems, which will require addressing new and significant criteria in the applied methodology.


2021 ◽  
Author(s):  
Ozgur Turetken

Building redundant capacity into an organization’s information technology (IT) infrastructure is a standard part of business continuity planning (BCP). Traditionally, cost concerns have dominated the decision of where to locate the redundant facilities. However; recently managers are becoming more aware of the fact that the very issues that make the main IT facilities vulnerable to disruption (i.e. man-made or natural disasters) are likely to impact the redundant (back-up facilities as well. This complicates the process of selecting redundant facility location(s). The problem is essentially a multi-criteria decision problem, and can be addressed using the location analysis techniques that have been used in other domains in the past. Meanwhile, what make this context somewhat unique are the decision criteria and the rather subjective nature of the decision process. This paper provides a simple decision model for the problem, and illustrates the model with a case where relevant decision criteria are identified and the solution is obtained using a mix of objective and subjective decision techniques. We believe the paper is valuable because it presents an actionable methodology for practitioners involved in BCP. <br>


Numen ◽  
2014 ◽  
Vol 17 (1) ◽  
Author(s):  
Rosa Gitana Krob Meneghetti ◽  
Edivaldo José Bortoleto

RESUMOO texto aponta três aproximações para discutir a questão do fenômeno religioso: a primeira, de caráter histórico, considerando que desde a antiguidade clássica até o horizonte medieval, coube à Teologia enfocar este objeto. Já na modernidade o fenômeno passou a ser discutido pela Teodiceia e pela Filosofia da Religião e no contemporâneo o fenômeno religioso passa a ser discutido no campo da Ciência da Religião. Na segunda aproximação, encontram-se os temas do contemporâneo que, aparentemente são adversos à própria religião, quais sejam: o Ceticismo, o Agnosticismo, o Ateísmo e a Anti-Idolatria. A terceira e última diz respeito ao campo específico da Educação e pergunta pelas possibilidades de diálogos no universo escolar, a partir das visões de mundo e diversidades culturais e curriculares vigentes na escola, afirmando o Ensino Religioso como área de conhecimento, sem perder suas raízes epistêmicas e sem correr o risco de tornar-se tão somente um conjunto de atividades.PALAVRAS-CHAVE: Ensino Religioso - Ciência da Religião – Metodologia do ensinoABSTRACTThe text outlines three approaches to discuss the issue of religious phenomena: The first, considering a historical perspective, understanding that from classical antiquity to the medieval horizon, theology was responsible for focusing this object. In modernity the phenomena began to be discussed by Theodicy and the Philosophy of Religion. And in contemporary the religious phenomenon begins to be discussed in the field of religious studies. In the second approach, there are the contemporary themes, that are, apparently, adverse to their own religion, namely: Skepticism, Agnosticism, Atheism and Anti-Idolatry. The third and last concerns to the specific field of Education and asks about the possibilities of dialogue in the school universe, from the worldviews and cultural and curriculardiversities prevailing at the school, claiming religious education as a field of knowledge, without losing its epistemic roots and without the risk of becoming a set of activities solely.KEYWORDS: Religious Education - Religious Science - Teaching Methodology.


2018 ◽  
Vol 7 (2) ◽  
pp. 286-293 ◽  
Author(s):  
Mahesh Kumar ◽  
Bhagwan Das ◽  
Perumal Nallagownden ◽  
Irraivan Elamvazuthi ◽  
Sadia Ali Khan

Recently, a wide range of wind farm based distributed generations (DGs) are being integrated into distribution systems to fulfill energy demands and to reduce the burden on transmission corridors. The non-optimal configuration of DGs could severely affect the distribution system operations and control. Hence, the aim of this paper is to analyze the wind data in order to build a mathematical model for power output and pinpoint the optimal location. The overall objective is minimization of power loss reduction in distribution system. The five years of wind data was taken from 24o 44’ 29” North, 67o 35’ 9” East coordinates in Pakistan. The optimal location for these wind farms were pinpointed via particle swarm optimization (PSO) algorithm using standard IEEE 33 radial distribution system. The result reveals that the proposed method helps in improving renewable energy near to load centers, reduce power losses and improve voltage profile of the system. Moreover, the validity and performance of the proposed model were also compared with other optimization algorithms.


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