scholarly journals The Optimum Site Selection for Solar Energy Farms using AHP in GIS Environment, A Case Study of Iraq

2021 ◽  
pp. 4571-4587
Author(s):  
Sajaa M. Khazael ◽  
Maythm Al-Bakri
Keyword(s):  
Solar Energy ◽  
Expert Knowledge ◽  
Critical Factor ◽  
Clean Energy ◽  
Analytic Hierarchy ◽  
Alternative Source ◽  
Modeling Process ◽  
Environmental Criteria ◽  
Gis Environment ◽  
Hierarchy Process

    Recently, renewable energy (RE), such as solar energy, sources have proven their importance as an alternative source of fuel. The utilizing of solar energy can contribute to move the world towards relying on clean energy to curb global warming. However, the placement of solar farms is a major priority for planners as it is a critical factor in the succession energy project. This study combines one of the multi-criteria decision-making techniques Analytic Hierarchy Process (AHP) and Geographic Information System (GIS) to assess the suitability of land for establishing solar farms in Iraq. Numerous climatic, geomorphological, economic, and environmental criteria and some exclusionary constraints have been adopted in modeling process. It is supported by expert knowledge and a comprehensive literature review. The results showed that approximately 19% of the study area are optimal areas for installing solar farms. The southern, southeastern, and a few western regions obtained the largest part of the suitable lands. Furthermore, this approach can be adapted easily to cover different criteria and different weights in order to assist planners in deciding solar farm locations.

scholarly journals Selecting key areas for conservation at the regional level: the case of the globally ‘Near Threatened’ Cinereous Vulture Aegypius monachus in south-east Portugal

2012 ◽  
Vol 23 (2) ◽  
pp. 168-183 ◽  
Author(s):  
PEDRO M. LOURENÇO ◽  
NUNO CURADO ◽  
FILIPA LOUREIRO ◽  
ALFONSO GODINO ◽  
EDUARDO SANTOS
Keyword(s):  
Regional Level ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Nesting Sites ◽  
Conservation Actions ◽  
Bibliographic Search ◽  
Cinereous Vulture ◽  
Suitability Maps ◽  
Gis Environment ◽  
Hierarchy Process

SummarySince the resources available for nature conservation tend to be very limited, localised conservation actions are often the only feasible management option. Therefore, we must select key areas where these actions will be most effective. Here we used Weighted Linear Combination (WLC) to integrate various variables in a GIS environment and identify key areas for implementing conservation actions benefiting Cinereous Vultures Aegypius monachusin south-east Portugal. Through a bibliographic search, we selected four main variables and sub-variables related to land use, food availability, disturbance and topography. These were weighted for their relative importance using the Analytic Hierarchy Process (AHP) and combined using WLC to obtain suitability maps for the best nesting and foraging sites for Cinereous Vultures. Overall, the study areas show moderate to high suitability as foraging areas for the species, but only a few small patches seem suitable as nesting sites. The use of GIS-based decision support systems, such as WLC, together with an objective method for weighting variables, like the AHP, allows for the integration of large amounts of cartographic information into suitability maps that can easily be used to select key areas for conservation at the regional level.

scholarly journals Use of Analytic Hierarchy Process for Wind Farm Installation Region Prioritization–Case Study

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2284 ◽  
Author(s):  
Rômulo Lemos Bulhões ◽  
Eudemário Souza de Santana ◽  
Alex Álisson Bandeira Santos
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Wind Farm ◽  
Greenhouse Gas Emission ◽  
Wind Farms ◽  
Clean Energy ◽  
Poor Quality ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Electricity generation via renewable sources is emerging as a possible solution to meet the growing demand for electricity worldwide. Additionally, the need to produce clean energy, with little or no pollutants or greenhouse gas emission is paramount. Due to these factors, wind farms are noticeably increasing in number, especially in Brazil. However, the vast size of the country and the poor quality of its infrastructure are among several factors that make it difficult for effective decision-making to accelerate the growth of this segment in Brazil. With the purpose of assisting government agencies, regulatory agencies and other institutions in this area, the use of a multi-criteria selection method called the analytic hierarchy process is proposed here to assist in decision-making and to select priority regions for implementing wind farms. This work focuses on a case study of the state of Bahia, in which 27 territories were selected for an installation priority evaluation. Computational tools were used to hierarchize these chosen territories, including Matlab, for the construction of the computational algorithm. The results indicate the priority pf the regions according to the established criteria, which allows installation locations to be mapped—these could serve as a basis for regional investment.

scholarly journals Defining Spatial Priorities for Irrigation Development Using the Soil Conservation and Water Use Efficiency Criteria

Agronomy ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 324 ◽  
Author(s):  
Atila Bezdan ◽  
Bosko Blagojevic ◽  
Milica Vranesevic ◽  
Pavel Benka ◽  
Radovan Savic ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Minimal Risk ◽  
Analytic Hierarchy ◽  
Irrigation Development ◽  
Development Goals ◽  
Use Efficiency ◽  
Gis Environment ◽  
Hierarchy Process

This paper presents a methodology for defining spatial priorities for irrigation development in Vojvodina Province (Serbia). The purpose of the methodology is to take into account several UN Sustainable Development Goals and to try to minimize land degradation, while maximizing water use efficiency. In the first step, areas that can be irrigated over long-term periods with minimal risk of soil degradation were selected in the geographic information system (GIS) environment. Then, three experts used the analytic hierarchy process (AHP) to define the weights of four criteria related to water use efficiency. After that, the consensus model was used to obtain group weights of the criteria. These criteria were standardized and presented as GIS layers. Finally, cell values in all the layers were multiplied by corresponding consensus weights of the criteria. The weighted layers are summarized in the final map representing spatial priorities for irrigation development.

scholarly journals Identification of Potential Sites for a Multi-Purpose Dam Using a Dam Suitability Stream Model

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3249
Author(s):  
Zhenfeng Shao ◽  
Zahid Jahangir ◽  
Qazi Muhammad Yasir ◽  
Atta-ur-Rahman ◽  
Shakeel Mahmood
Keyword(s):  
Water Resource Management ◽  
Input Parameter ◽  
Geographical Information ◽  
Stream Order ◽  
Analytic Hierarchy ◽  
Suitability Maps ◽  
Gis Environment ◽  
Risk Managers ◽  
Hierarchy Process ◽  
Stream Model

Optimal site selection of a dam is one of the crucial tasks in water resource management. In this study, a dam suitability stream model (DSSM) is utilized to identify potential sites for constructing multi-purpose dams. In DSSM, each input parameter is weighted using the analytic hierarchy process (AHP), and then weighted overlay analysis is performed in a Geographical Information System (GIS) environment. Compared to the previous studies, this study showed different results based on the crucial parameter that is “stream order”. Two resultant site suitability maps are prepared to differentiate the importance of stream order. Each of the resulting maps visualizes four classes of suitability from highly suitable to least suitable. The proposed sites will store water for a variety of uses at the local and regional level and reduce flood risk, which can be very useful for hydrologists and disaster risk managers.

Multi-Criteria Evaluation of the Scheduling of a Hydrothermal Power System Using Analytic Hierarchy Process

2013 ◽  
Vol 438-439 ◽  
pp. 1367-1371 ◽  
Author(s):  
Xiang Yu ◽  
Xue Qing Zhang
Keyword(s):  
Power System ◽  
Analytic Hierarchy Process ◽  
Pollutant Emission ◽  
Water Quality Control ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Environmental Criteria ◽  
Decision Group ◽  
And Control ◽  
Hierarchy Process

The scheduling of a hydrothermal power system needs to take into account multiple economic, social and environmental criteria, such as power production, flood protection and control, water supply for agricultural, industrial and domestic uses, navigation, water quality control, ecological environment protection, fishery, recreation, and pollutant emission control. In addition, determination of the scheduling must involve the participation of various stakeholders. Hence, this paper proposes a framework for multi-criteria evaluation of the scheduling of a hydrothermal power system based on group decision making using analytic hierarchy process (AHP). The AHP is used to select a balanced scheduling scheme out of a number of alternatives through performing pairwise comparisons according to judgments of the decision group members.

Customer-Oriented Product Customization Model and its Mathematic Evaluation

2010 ◽  
Vol 102-104 ◽  
pp. 135-139
Author(s):  
Gang Xiao ◽  
Li Bin Zhang ◽  
Fei Gao ◽  
Zhen Bo Chen
Keyword(s):  
Analytic Hierarchy Process ◽  
Mass Customization ◽  
Evaluation Model ◽  
Product Model ◽  
Analytic Hierarchy ◽  
Modeling Process ◽  
Product Customization ◽  
Formalized Description ◽  
Hierarchy Process

How to satisfy individual demands as possible as product can is important for facilitating mass customization, one key technique of which is to survey easy-understood product customization model for customers. First, through fully defining product customization model and comparing to conventional product model, the formalized description of product customization model is given. Second, Analytic Hierarchy Process-based mathematic evaluation model of customization elements is established. Third, modeling process of product customization model is proposed. Finally, the proposed strategy is demonstrated effective in an instance of conference timer customization model.

scholarly journals Application of Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Methods in Mapping Flood-Prone Areas

2021 ◽  
Author(s):  
Yu Chen
Keyword(s):  
Analytic Hierarchy Process ◽  
Flood Risk ◽  
Flood Hazard ◽  
Hazard Index ◽  
Analytic Hierarchy ◽  
Risk Management Strategies ◽  
Gis Environment ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Flood Prone Areas

The first step of formulating flood risk management strategies is to identify the flood at-hazard areas. This study aims to map flood-prone areas with different hazard levels in the Dadu River basin, using simple additive weighting (SAW) and analytic hierarchy process (AHP) methods and the geographic information systems (GIS) tool. The grid map of selected criteria, rainfall, topography, drainage, and the usage of land were processed and applied to estimate the flood hazard index (FHI) values in the basin in the GIS environment. The resultant map illustrates the spatial distribution of basin-scale flood at-hazard areas, can be used as powerful guidance of implementing preventing and alleviating flood risk for decision-makers and managers, and extended application in other basins or disaster fields.

scholarly journals A Fuzzy MCDM Approach for Green Supplier Selection from the Economic and Environmental Aspects

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Hsiu Mei Wang Chen ◽  
Shuo-Yan Chou ◽  
Quoc Dat Luu ◽  
Tiffany Hui-Kuang Yu
Keyword(s):  
Environmental Sustainability ◽  
Supplier Selection ◽  
Selection Process ◽  
Public Awareness ◽  
Multicriteria Decision Making ◽  
Environmental Issues ◽  
Analytic Hierarchy ◽  
Green Supplier Selection ◽  
Environmental Criteria ◽  
Hierarchy Process

Due to the challenge of rising public awareness of environmental issues and governmental regulations, green supply chain management (SCM) has become an important issue for companies to gain environmental sustainability. Supplier selection is one of the key operational tasks necessary to construct a green SCM. To select the most suitable suppliers, many economic and environmental criteria must be considered in the decision process. Although numerous studies have used economic criteria such as cost, quality, and lead time in the supplier selection process, only some studies have taken into account the environmental issues. This study proposes a comprehensive fuzzy multicriteria decision making (MCDM) approach for green supplier selection and evaluation, using both economic and environmental criteria. In the proposed approach, a fuzzy analytic hierarchy process (AHP) is employed to determine the important weights of criteria under vague environment. In addition, a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) is used to evaluate and rank the potential suppliers. Finally, a case study in Luminance Enhancement Film (LEF) industry is presented to illustrate the applicability and efficiency of the proposed method.

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