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An uncertain agent-based model for socio-ecological simulation of groundwater use in irrigation: a case study of Lake Urmia Basin, Iran
, Article Agricultural Water Management ; Volume 249 , 2021 ; 03783774 (ISSN) ; Zarghami, M ; Nadiri, A. A ; Sharif University of Technology
Elsevier B.V
2021
Abstract
Socio-ecological systems include diverse resources of complexity involving complicated interactions, feedback, dynamic behavior patterns, heterogeneity in agents’ characteristics and behaviors, as well as system uncertainties. Agent-based modeling is introduced as a tool to simulate different levels of stakeholders and interactions, including individual, group, and institutional agents in complex socio-ecological systems. In the present study, an agent-based model was developed to explore sustainable solutions in uncertain conditions for groundwater restoration of a critical aquifer in the Lake Urmia Basin, Iran. Different projects for aquifer restoration such as wells monitoring, license...
Optimal placement of switching and protection devices in radial distribution networks to enhance system reliability using the AHP-PSO method
, Article Turkish Journal of Electrical Engineering and Computer Sciences ; Volume 27, Issue 1 , 2019 , Pages 181-196 ; 13000632 (ISSN) ; Fotuhi Firuzabad, M ; Sharif University of Technology
Turkiye Klinikleri Journal of Medical Sciences
2019
Abstract
This paper presents a new method to determine the optimal number and locations of autorecloser and sectionalizer switches (AR/S) in distribution networks. The costs of AR/S investment, switch maintenance, and undistributed energy as well as reliability coefficients are considered in the objective function. Reliability parameters such as SAIFI, SADI, MAIFI, and ENS are evaluated in the case study system. As a new method, the weights of the reliability parameters are obtained by decision-makers using the analytical hierarchy process (AHP). The optimal size, type, and location of automatic switches are determined by minimizing the objective function using the particle swarm optimization (PSO)...
How does psychological empowerment affect knowledge management improvement in organizations? a study of cause-and-effect relationship using the fuzzy DEMATEL method
, Article IEEE Transactions on Engineering Management ; 2021 ; 00189391 (ISSN) ; Mohammadi, M ; Maleki, A ; Bonyadi Naeini, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
The present article aims to investigate the cause-and-effect relationship between the employees’ psychological empowerment (PE) and dimensions of knowledge management (KM) in an oil company, using the fuzzy decision-making trial and evaluation laboratory method. The study population consists of oil company experts. The sample size is determined based on the theoretical saturation limit. The present findings show that PE is the strongest causative factor with significant effects on knowledge creation (KC) and knowledge dissemination (KD). Among the KM dimensions, the most influential factors are the dimensions of KC, knowledge application, and knowledge capture (KCA). Of all KM dimensions,...
Online jointly estimation of hysteretic structures using the combination of central difference Kalman filter and Robbins–Monro technique
, Article JVC/Journal of Vibration and Control ; 2020 ; Bakhshi, A ; Yang, T. T. Y ; Sharif University of Technology
SAGE Publications Inc
2020
Abstract
Rapid assessment of structural safety and performance right after the occurrence of significant earthquake shaking is crucial for building owners and decision-makers to make informed risk management decisions. Hence, it is vital to develop online and pseudo-online health monitoring methods to quantify the health of the building right after significant earthquake shaking. Many Bayesian inference–based methods have been developed in the past which allow the users to estimate the unknown states and parameters. However, one of the most challenging part of the Bayesian inference–based methods is the determination of the parameter noise covariance matrix. It is especially difficult when the number...
Online probabilistic model class selection and joint estimation of structures for post-disaster monitoring
, Article JVC/Journal of Vibration and Control ; Volume 27, Issue 15-16 , 2021 , Pages 1860-1878 ; 10775463 (ISSN) ; Bakhshi, A ; Yang, T. T .Y ; Sharif University of Technology
SAGE Publications Inc
2021
Abstract
Online selection of the appropriate model and identifying its parameters based on measured vibrational data are among the challenging issues in dynamic system identification. After a severe earthquake, quick monitoring and assessment of structural health status play a crucial role in effective critical risk management for the building owners and decision-makers. The Bayesian multiple modeling approach is a suitable tool for optimal model class selection, which is used in this article mainly for improving data fitting precision, decreasing dimensions of structural unknown vector through removing unnecessary parameters, detecting the occurrence and type of predominant phenomenon related to...
Online jointly estimation of hysteretic structures using the combination of central difference kalman filter and robbins–monro technique
, Article JVC/Journal of Vibration and Control ; Volume 27, Issue 1-2 , 2021 , Pages 234-247 ; 10775463 (ISSN) ; Bakhshi, A ; Yang, T. T. Y ; Sharif University of Technology
SAGE Publications Inc
2021
Abstract
Rapid assessment of structural safety and performance right after the occurrence of significant earthquake shaking is crucial for building owners and decision-makers to make informed risk management decisions. Hence, it is vital to develop online and pseudo-online health monitoring methods to quantify the health of the building right after significant earthquake shaking. Many Bayesian inference–based methods have been developed in the past which allow the users to estimate the unknown states and parameters. However, one of the most challenging part of the Bayesian inference–based methods is the determination of the parameter noise covariance matrix. It is especially difficult when the number...
A multi-objective framework for enhancing the reliability and minimizing the cost of PMU deployment in power systems
, Article Scientia Iranica ; Volume 23, Issue 6 , 2016 , Pages 2917-2927 ; 10263098 (ISSN) ; Safdarian, A ; Fotuhi-Firuzabad, M ; Shahidehpour, M ; Sharif University of Technology
Sharif University of Technology
2016
Abstract
Wide-Area Monitoring, Protection, And Control (WAMPAC) is a key factor in the implementation of smart transmission grids. WAMPAC has a crucial role in detection and prevention of widespread events with an ultimate goal of improving the electricity service reliability. Several mathematical techniques were proposed for the Optimal Phasor Measurement Units (PMU) Placement (OPP) problem which represents the first step toward the development of WAMPAC. These techniques consider either the solution to the network observability or realization of specific PMU applications. This paper proposes a multi-objective framework for OPP which emphasizes the reliability of power systems. The objective...
Emission assessment of alternative dam structure types, a novel approach to consider in new dam projects
, Article Construction Innovation ; 2020 ; Bajalan, Z ; Iravani, P ; Sharif University of Technology
Emerald Group Publishing Ltd
2020
Abstract
Purpose: Dams require high-volume of construction materials and operations over the life cycle. This paper aims to select a proper type of dam structure that can significantly contribute to the sustainability of dam projects. Design/methodology/approach: This research proposes a complementary fuel consumption and carbon dioxide (CO2) emission assessment method for the alternate dam structure types to assist decision-makers in selecting sustainable choices. Related equations are developed for two common earthen and rock-fill dam structures types in Iran. These equations are then successfully applied to two real dam project cases where the significance of the achieved results are assessed and...
Semi-augmented reality, a novel approach to improve customer safety in pre-sale process of under construction buildings
, Article International Journal of Engineering, Transactions B: Applications ; Volume 34, Issue 10 , 2021 , Pages 2198-22205 ; 1728144X (ISSN) ; Didehvar, N ; Jalilehvand, M ; Adami, P ; Shahmir, S ; Sharif University of Technology
Materials and Energy Research Center
2021
Abstract
Effective marketing is quite vital in many building construction projects that depend on the pre-sale cash in-flow. However, the unsafe condition of the under-construction projects postpones in-person customer visits to the completion date and complicates the marketing process. This safety concern is especially critical for the upper floor units. Although virtual tours of the buildings are used to show the project specifications, they do not convey the impression that customers receive in the real ambiance of in-person visits. This research proposes a novel method called semi-augmented reality to address the safety issue of the under-construction projects during the marketing process. In...
Emission assessment of alternative dam structure types, a novel approach to consider in new dam projects
, Article Construction Innovation ; Volume 21, Issue 2 , 2021 , Pages 203-217 ; 14714175 (ISSN) ; Bajalan, Z ; Iravani, P ; Sharif University of Technology
Emerald Group Holdings Ltd
2021
Abstract
Purpose: Dams require high-volume of construction materials and operations over the life cycle. This paper aims to select a proper type of dam structure that can significantly contribute to the sustainability of dam projects. Design/methodology/approach: This research proposes a complementary fuel consumption and carbon dioxide (CO2) emission assessment method for the alternate dam structure types to assist decision-makers in selecting sustainable choices. Related equations are developed for two common earthen and rock-fill dam structures types in Iran. These equations are then successfully applied to two real dam project cases where the significance of the achieved results are assessed and...
A thorough investigation for development of hydrogen projects from wind energy: a case study
, Article International Journal of Hydrogen Energy ; Volume 46, Issue 36 , 2021 , Pages 18795-18815 ; 03603199 (ISSN) ; Hosseini Dehshiri, S ; Hosseini Dehshiri, J ; Mostafaeipour, A ; Issakhov, A ; Techato, K ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
Increasing energy demand has led to a substantial growth in the use of wind energy across the world, which can be attributed to the low initial and running costs and rapid and easy deployment of this technology. The development of hydrogen from wind energy is an excellent way to store the excess wind power produced, as the produced hydrogen can be used not only as clean fuel but also as input for various industries. Considering the good wind potentials of Yazd province, the variety of industries that are active in this area, and the central location of this province in Iran, which gives it ample access to major transport routes and other industrial hubs, hydrogen production from wind power...
Ranking locations for hydrogen production using hybrid wind-solar: a case study
, Article Sustainability (Switzerland) ; Volume 13, Issue 8 , 2021 ; 20711050 (ISSN) ; Mostafaeipour, A ; Jahanshahi, E ; Jooyandeh, E ; Himri, Y ; Jahangiri, M ; Issakhov, A ; Chowdhury, S ; Hosseini Dehshiri, J ; Hosseini Dehshiri, S ; Techato, K ; Sharif University of Technology
MDPI
2021
Abstract
Observing the growing energy demand of modern societies, many countries have rec-ognized energy security as a looming problem and renewable energies as a solution to this issue. Renewable hydrogen production is an excellent method for the storage and transfer of energy generated by intermittent renewable sources such as wind and solar so that they can be used at a place and time of our choosing. In this study, the suitability of 15 cities in Fars province, Iran, for renewable hydrogen production was investigated and compared by the use of multiple multi-criteria decision-making methods including ARAS, SAW, CODAS, and TOPSIS. The obtained rankings were aggregated by rank averaging, Borda...
Determination of optimal renewable energy growth strategies using SWOT analysis, hybrid MCDM methods, and game theory: a case study
, Article International Journal of Energy Research ; 2021 ; 0363907X (ISSN) ; Hosseini Dehshiri, J ; Hosseini Dehshiri, S ; Mostafaeipour, A ; Hoa, A. X ; Techato, K ; Sharif University of Technology
John Wiley and Sons Ltd
2021
Abstract
Due to population growth and industrial development, Iran is facing the challenge of energy supply in various industrial, power plant, agricultural, and residential sectors. While most of Iran's energy supply comes from fossil fuels, these fuels have devastating environmental impacts. Therefore, Iran has to invest more in its renewable energy sources. Given that many locations of Iran have significant wind, solar, and geothermal potential, this study used a combination of SWOT, multicriteria decision-making approaches, and game theory to identify the best renewable energy development plans for the country. The Stepwise Weight Assessment Ratio Analysis (SWARA) technique was applied to weight...
An economic investigation of the wind-hydrogen projects: A case study
, Article International Journal of Hydrogen Energy ; Volume 47, Issue 62 , 2022 , Pages 25880-25898 ; 03603199 (ISSN) ; Hosseini Dehshiri, S. S ; Hosseini Dehshiri, S. J ; Mostafaeipour, A ; Techato, K ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Hydrogen as an energy carrier can play a significant role in reducing environmental emissions if it is produced from renewable energy resources. This research aims to assess hydrogen production from wind energy considering environmental, economic, and technical aspect for the East Azerbaijan province of Iran. The economic assessment is performed by calculation of payback period, levelized cost of hydrogen, and levelized cost of electricity. Since uncertainty in the power output of wind turbines may affect the payback period, all calculations are performed for four different turbine degradation rates. While it is common in the literature to choose the wind turbine based on a single criterion,...
Determination of optimal renewable energy growth strategies using SWOT analysis, hybrid MCDM methods, and game theory: A case study
, Article International Journal of Energy Research ; Volume 46, Issue 5 , 2022 , Pages 6766-6789 ; 0363907X (ISSN) ; Hosseini Dehshiri, S. J ; Hosseini Dehshiri, S. S ; Mostafaeipour, A ; Hoa, A.X ; Techato, K ; Sharif University of Technology
John Wiley and Sons Ltd
2022
Abstract
Due to population growth and industrial development, Iran is facing the challenge of energy supply in various industrial, power plant, agricultural, and residential sectors. While most of Iran's energy supply comes from fossil fuels, these fuels have devastating environmental impacts. Therefore, Iran has to invest more in its renewable energy sources. Given that many locations of Iran have significant wind, solar, and geothermal potential, this study used a combination of SWOT, multicriteria decision-making approaches, and game theory to identify the best renewable energy development plans for the country. The Stepwise Weight Assessment Ratio Analysis (SWARA) technique was applied to weight...
Earthquake vulnerability assessment for urban areas using an ann and hybrid swot-qspm model
, Article Remote Sensing ; Volume 13, Issue 22 , 2021 ; 20724292 (ISSN) ; Zabihi, H ; Rezaie, F ; Asadzadeh, A ; Wolf, I. D ; Langat, P. K ; Khosravi, I ; Beiranvand Pour, A ; Mohammad Nataj, M ; Pradhan, B ; Sharif University of Technology
MDPI
2021
Abstract
Tabriz city in NW Iran is a seismic-prone province with recurring devastating earthquakes that have resulted in heavy casualties and damages. This research developed a new computational framework to investigate four main dimensions of vulnerability (environmental, social, economic and physical). An Artificial Neural Network (ANN) Model and a SWOT-Quantitative Strategic Planning Matrix (QSPM) were applied. Firstly, a literature review was performed to explore indicators with significant impact on aforementioned dimensions of vulnerability to earthquakes. Next, the twenty identified indicators were analyzed in ArcGIS, a geographic information system (GIS) software, to map earthquake...
Earthquake vulnerability assessment for urban areas using an ann and hybrid swot-qspm model
, Article Remote Sensing ; Volume 13, Issue 22 , 2021 ; 20724292 (ISSN) ; Zabihi, H ; Rezaie, F ; Asadzadeh, A ; Wolf, I. D ; Langat, P. K ; Khosravi, I ; Beiranvand Pour, A ; Nataj, M. M ; Pradhan, B ; Sharif University of Technology
MDPI
2021
Abstract
Tabriz city in NW Iran is a seismic-prone province with recurring devastating earthquakes that have resulted in heavy casualties and damages. This research developed a new computational framework to investigate four main dimensions of vulnerability (environmental, social, economic and physical). An Artificial Neural Network (ANN) Model and a SWOT-Quantitative Strategic Planning Matrix (QSPM) were applied. Firstly, a literature review was performed to explore indicators with significant impact on aforementioned dimensions of vulnerability to earthquakes. Next, the twenty identified indicators were analyzed in ArcGIS, a geographic information system (GIS) software, to map earthquake...
Fuzzy group decision making model for identifying and ranking of success factors in fraud prevention in Iranian e-banking
, Article Journal of Information Technology Management ; Volume 9, Issue 2 , 2017 , Pages 355-378 ; 20085893 (ISSN) ; Chehrehpak, M ; Sharif University of Technology
Abstract
With increasing use of e-banking system in Iranian banking sector, ignoring the issue of fraud in the system will be very costly for banks and e-banking customers. Fraud in e-banking is due to some security problems (such as weakness in access control systems and inadequate internal control). So, identifying success factor in fraud prevention in ebanking can be useful for e-banking system developers to improve these systems security. In this paper we have tried to identify and rank these success factors for fraud prevention in e-banking systems. For this purpose, we first review the literature to find potential factors, then identified factors were weighted by using fuzzy group multi...
An empirical study on effective factors on adoption of cloud computing in electronic banking: A case study of Iran banking sector
, Article International Journal of Business Information Systems ; Volume 33, Issue 3 , 2020 , Pages 408-428 ; Chehrehpak, M ; Khalili Nasr, A ; Zamanifard, S ; Sharif University of Technology
Inderscience Publishers
2020
Abstract
Cloud computing as a new technology can provide significant advantages in electronic banking services. Adoption of this technology in e-banking services requires consideration of several factors. The main objective of this study is to identify and rank the effective factors on adoption of cloud computing in e-banking. The factors were identified from literature review in four dimension based on TOE and HOT-fit models (technological, human, environmental and organisational factors). As a result of this study, 16 factors were identified in four dimensions. Using fuzzy group decision-making model and pairwise comparison between factors (by a survey of 63 experts, academics and practical persons...
A new fuzzy multicriteria decision making method and its application in diversion of water
, Article Expert Systems with Applications ; Volume 37, Issue 12 , 2010 , Pages 8809-8813 ; 09574174 (ISSN) ; Shamsai, A ; Ahmady, N ; Sharif University of Technology
Abstract
Taking account of uncertainty in multicriteria decision making problems is crucial due to the fact that depending on how it is done, ranking of alternatives can be completely different. This paper utilizes linguistic values to evaluate the performance of qualitative criteria and proposes using appropriate shapes of fuzzy numbers to evaluate the performance of quantitative criteria for each problem with respect to its particular conditions. In addition, a process to determine the weights of criteria using fuzzy numbers, which considers their competition to gain greater weights and their influence on each other is described. A new fuzzy methodology is proposed to solve such a problem that...