Environmental Energy and Economic Research
Environmental Energy and Economic Research
2538-4988
2676-4997
5
4
2021
11
01
Risk Assessment by a New FMEA Model based on an Extended AHP Method under a Fuzzy Environment
1
14
EN
Reza
Fattahi
Science and Research Branch, Islamic Azad University, Tehran, Iran
e.reza.fattahi@gmail.com
Reza
Tavakkoli-Moghaddam
0000-0002-6757-926X
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
tavakoli@ut.ac.ir
Mohammad
Khalilzadeh
Science and Research Branch, Islamic Azad University, Tehran, Iran
mo.kzadeh@gmail.com
Nasser
Shahsavari-Pour
Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran
shahsavari_n@alum.sharif.edu
Roya
Soltani
Khatam University, Tehran, Iran
roya.soltani@gmail.com
10.22097/eeer.2021.263341.1180
Risk assessment has an essential role in managing different risks and their effects. A failure mode and effects analysis (FMEA), as one of the most famous risk assessment tools, has frequently been used in a wide range of industries and organizations. In this study, a new fuzzy analytic hierarchy process (AHP)-based FMEA model is introduced for evaluating the risks of various failure modes more precisely. In this model, fuzzy weighted aggregated risk priority numbers (FWARPNs) are taken into consideration instead of risk priority numbers (RPNs) for the failure modes. Moreover, considering that an economic criterion is added to the three main risk factors, the FWARPNs are calculated by utilizing four risk factors of occurrence (O), severity (S), detection (D), and cost (C). The new criterion (C) denotes the required cost for eliminating the effects of failure occurred. Also, the weights of these four risk factors are computed by an extended fuzzy AHP method. For enhancing the efficiency of the proposed model, a novel fuzzy numbers ranking method is also applied in both suggested fuzzy FMEA and AHP methods. This new ranking method is based on creating different horizontal α-cuts in fuzzy numbers. Finally, to indicate the practicability and effectiveness of the proposed model, Kerman Ghete Gostar Casting Plant is considered as a case study in which the risks of toxic gas release are assessed by the suggested fuzzy FMEA model. The obtained results show that the proposed model is a practicable and advantageous risk assessment method in the real world.
Risk Assessment,Toxic gases release,Fuzzy FMEA,fuzzy AHP,Fuzzy numbers ranking
https://www.eeer.ir/article_133183.html
https://www.eeer.ir/article_133183_5a711f50a035768538151e1f254a2f80.pdf
Environmental Energy and Economic Research
Environmental Energy and Economic Research
2538-4988
2676-4997
5
4
2021
11
01
Exergoeconomic Optimization of a Novel Hydrogen Generation System Based on Geothermal Energy
1
15
EN
Ebrahim
Aghaie
Dezful Branch, Islamic Azad University, Dezful, Iran
ebrahim_aghaie@yahoo.com
Ehsanolah
Assareh
Dezful Branch, Islamic Azad University, Dezful, Iran
e.assareh@gmail.com
Hossein
Yousefi
0000-0002-6372-5127
Faculty of New Sciences and Technologies, university of Tehran, Tehran, Iran
hosseinyousefi@ut.ac.ir
Rahim
Moltames
0000-0001-9975-9049
Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran
rahim.moltames89@gmail.com
Amirhossein
Fathi
School of Mechanical Engineering, Shiraz University, Shiraz, Iran
afathi@shirazu.ac.ir
Kianoosh
Choubineh
Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran
k.choubineh@ut.ac.ir
10.22097/eeer.2021.281109.1195
Hydrogen can be a good energy carrier for renewable energies in the long-term due to its appropriate characteristics. However, hydrogen alone is not found in nature and cannot be produced directly. For this purpose, some energy needs to be spent on hydrogen separation. One of the most important hydrogen production methods is the use of electric power to separate hydrogen in an electrolyzer system. In this paper, an exergoeconomic and thermodynamic procedure is applied to the analysis of a novel power generation system based on geothermal energy for hydrogen production. A recuperator is used in the novel system to increase the performance of the system. Five decision variables are considered to optimize system performance. The objective is to maximize the exergy efficiency and on the other hand, minimize the total cost rate of the system. The results of the simulation show that incorporating the recuperator increases the total power production by 20.65%, the energy efficiency by 20.71%, the exergy efficiency by 20.66%, and hydrogen production by 11.91%. Moreover, implementing the particle swarm optimization (PSO) algorithm increases power generation by 4.3%, energy efficiency by 4.2%, exergy efficiency by 4.3%, hydrogen production by 1%, and decreases cost rate by 1%.
hydrogen,Organic Rankine Cycle,Multi-Objective Optimization,Geothermal Energy
https://www.eeer.ir/article_133184.html
https://www.eeer.ir/article_133184_06c09faec60b5f6201821e74893fc729.pdf
Environmental Energy and Economic Research
Environmental Energy and Economic Research
2538-4988
2676-4997
5
4
2021
11
01
An Efficient Hybrid Decision-making Model for Sustainable Supplier Selection (Case Study: Parts Supply Industry)
1
12
EN
Mahboubeh
Afzali
Graduate University of Advanced Technology, Kerman, Iran
afzali.mahboubeh@gmail.com
10.22097/eeer.2021.287679.1201
Supplier selection has been considered as one of the important decisions taken by firms in supply chain management to enhance profitability in this competitive era. With the emergence of environmental policies and social concerns, companies are forced to consider triple bottom line including economic, environmental, and social attributes into their supply chain activities. Since different criteria affecting sustainable supplier selection conflict with each other, sustsainable supplier selection problem is considered as a multi-criteria decision-making problem. Furthermore, the evaluation of numerous conflicting requirements suffers imprecise and vague in decision makers’ judgments. In this paper, an efficient Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method which is integrated by gray theory is developed to deal with uncertainty and imprecise among decision makers’ judgments in the most right sustainable supplier selection. The proposed method was performed on tool industry as case study to select the most sustainable alloy supplier which involves three main criteria and twelve sub-criteria. The results indicated that Ara Sanat Asia company performs better than the other companies due to high contribution in the environmental and social criteria in addition to economic criteria as traditional metrics.
Sustainable supplier selection,MCDM,TOPSIS,Gray system
https://www.eeer.ir/article_134370.html
https://www.eeer.ir/article_134370_0d12b05326f94b6a59ca7c2565137232.pdf
Environmental Energy and Economic Research
Environmental Energy and Economic Research
2538-4988
2676-4997
5
4
2021
11
01
Environmental Pollution and Economic Growth based on the Theory of Environmental Kuznets Curve (EKC) in Iran's Provinces (1997-2017)
1
15
EN
Kazem
Aminzadeh
Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
aminzadeh.k@gmail.com
Sadegh
Bakhtiari
Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
bakhtiari_sadegh@yahoo.com
Saeed
Daei-karimzadeh
Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
saeedkarimzade@yahoo.com
10.22097/eeer.2021.287650.1200
Despite the fact that economic growth provides the basis for the progress of societies, it increases pollution and, as a result, destroys the environment and reduces the welfare of societies. On the other hand, preserving and protecting the environment is one of the most important pillars of achieving sustainable development. Regardless of the environmental issue, natural and human resources will be depleted and will have dire consequences on the planet and even in human societies. The environment is considered as a factor, which affects and is affected by both economic growth and sustainable development. In developing countries, overproduction and economic growth generally lead to environmental degradation. In this study, the effects of reverse U-shaped and N-shaped curve of GDP on the surface variable with power two and three on the pollutants emission volume is investigated. Also, nitrogen oxide, carbon monoxide, carbon dioxide, sulfur dioxide, sulfur trioxide using long-term panel econometric methods, including; panel unit root test, Kao co-integration test, FMOLS and DOLS for 30 provinces of the country over 1997-2017 were considered. As a result, estimates suggest that the environmental Kuznets assumptions are the same for all five pollutants, and as GDP increases, pollution first increases, then begins to decline after reaching the peak point, and finally continues to rise by increasing reproduction. In other words, the results of the estimates indicate the confirmation of the N-shaped relationship between the provinces of Iran.
Environmental pollution,Economic Growth,Kuznets theory,Provinces of Iran
https://www.eeer.ir/article_134800.html
https://www.eeer.ir/article_134800_1e7b9cde06789e5d6508b899e993200c.pdf
Environmental Energy and Economic Research
Environmental Energy and Economic Research
2538-4988
2676-4997
5
4
2021
11
01
Application of Circular Economy in Downstream Petroleum Industry: An Interpretative Modelling
1
13
EN
Ahmad
Ghorbanpur
Persian Gulf University, Bushehr, Iran
ah.ghorbanpur@gmail.com
Abdol Karim
Hosseinpoor
Persian Gulf University, Bushehr, Iran
k.hosseinpoor@gmail.com
10.22097/eeer.2021.290703.1205
In recent years, globalization, the large consumption of resources, increasing pollution, and consequently, the production of waste and greenhouse gases created serious environmental problems. In this regard, the most important philosophy needed by organizations is agreement on creating economic, social and environmental value in the form of the concept of sustainable management. Circular economics is an operational solution to achieve this concept in organizations. This paper attempts to offer multi-level modeling of circular economy barriers in the downstream petroleum industry, emphasizing the rubber and plastics industry. In first, a number of the barrier are extracted from related reviews of the studies. Then, these barriers were validated using experts’ opinions in academic and petroleum industry professionals. Then, the fuzzy interpretative structural modeling approach (FISM) was used to determine the relationship between the barriers by considering the linguistic ambiguities of judgments and designing the structural model. The results showed that from the viewpoint of experts, due to the placement of “Obstructing laws and regulations” and “Uncertainty of consumer demand” barriers in the root of the model were the most important barriers of circular economy in the rubber and plastics industry. In the next step, using the MICMAC analysis, the circular economy barriers were put into four clusters. Finally, a discussion and conclusions are presented.
Circular Economy,Petroleum Industry,Fuzzy Interpretative Structural Modelling,MICMAC
https://www.eeer.ir/article_135307.html
https://www.eeer.ir/article_135307_a48822686f23ed6a669a46db08ecc397.pdf
Environmental Energy and Economic Research
Environmental Energy and Economic Research
2538-4988
2676-4997
5
4
2021
11
01
Global Trends of Landfill Leachate Treatment Research: A Bibliometric Analysis During 2000-2020
1
13
EN
Mohammad Reza
Sabour
0000-0002-3606-3762
K.N.Toosi University of Technology Faculty of Civil Engineering, Tehran, Iran.
sabour@kntu.ac.ir
Shamimeh
Babaei Khorzoughi
K.N.Toosi University of Technology Faculty of Civil Engineering, Tehran, Iran.
shamim.babaie@email.kntu.ac.ir
Saman
Moftakhari Anasori Movahed
K.N.Toosi University of Technology Faculty of Civil Engineering, Tehran, Iran.
moftakhari@email.kntu.ac.ir
10.22097/eeer.2021.296061.1210
Landfill leachate is heavily contaminated and consists of high amount of organic compounds, toxic gases, inorganic salts, halogenated hydrocarbons, and heavy metals that exerts a serious threat to public health and the environment. Therefore it requires treatment before direct discharge into water bodies. Although landfill leachate treatment has been studied by many researchers, lacking comprehensive review in this area can be considerable. This paper aims to assess the trend of landfill leachate treatment research and to show the related hotspots through conducting a bibliometric analysis, based on 3523 publications from Web of Science during 2000-2020. Various significant aspects including document type, publications growth trends, key countries/territories, subject categories, major journals, and keywords co-occurrence, were all systematically analyzed in this paper. Also, VOS viewer has been employed to evaluate the collaboration of countries/territories and keywords. Based on the results, the growing number of publications related to landfill leachate treatment over the last 20 years, demonstrate significant growth trends of the research. According to the subject category analysis, the most dominant categories were Environmental Sciences and Environmental Engineering with more than 60% contribution. “Waste Management” is the most productive journal followed by “Journal of Hazardous Materials”, “Desalination and Water treatment”, and “Water Science and Technology”. China is the leading country in contribution to the total number of publications followed by the USA and Malaysia. Moreover, to identify the pioneer countries, keyword clustering analysis was conducted and it demonstrated that the number of landfill leachate-related publications have significantly increased during the studied period.
Landfill,leachate,Waste Management,research trend,Bibliometric analysis
https://www.eeer.ir/article_137389.html
https://www.eeer.ir/article_137389_5dbea1c33840e318fae081ed8002e992.pdf