Prioritizing the gaseous alternatives for the road transport sector of Pakistan: A multi criteria decision making analysis

Ullah, Kafait; Hamid, Salman; Mirza, Faisal Mehmood; Shakoor, Usman

doi:10.1016/j.energy.2018.10.055

Cited by 23 publications

(5 citation statements)

References 31 publications

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“… Author(s) and year Research focus GDM Parameter type SA CA Method(s) Country (Main) criteria Sub-criteria Alt. Barbosa et al (2017) PT indicator evaluation Yes Deterministic No No AHP Brazil 10 30 − Nassereddine and Eskandari (2017) PT system evaluation Yes Deterministic Yes No AHP, PROMETHEE Iran 6 − 5 Awasthi et al (2018) Urban mobility project evaluation Yes Fuzzy Yes No TOPSIS, VIKOR, GRA Luxemburg 4 31 3 Barfod (2018) Transport project appraisal No Deterministic No No SMARTER Denmark 3 8 4 Güner (2018) Bus route assessment Yes Deterministic No Yes AHP, TOPSIS Turkey 2 9 10 Lee (2018) Advanced PT mode evaluation Yes Deterministic No No AHP Korea 4 13 3 Ullah et al (2018) Transp. fuel technology selection No Deterministic Yes No AHP …”

Section: Literature Reviewmentioning

confidence: 99%

“… Lee (2018) investigated appropriate advanced public transport modes for specific city types. Ullah et al (2018) appraised three gaseous alternatives for the road transport sector from aspects in the context of sustainable development. Li et al (2019) prioritized clean-energy vehicle alternatives by taking into account electricity, gas, ethanol, and methanol propulsions.…”

Section: Literature Reviewmentioning

confidence: 99%

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Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Šimić

Ivanović

Djoric

et al. 2022

Sustainable Cities and Society

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The critical worldwide problem of adapting urban transport planning to COVID-19 is for the first time comprehensively addressed and solved in this study. It primarily aims to help transport planners increase the resilience of transport systems. Firstly, a multi-level decision-making hierarchy structure based on four main criteria and 17 sub-criteria is introduced for relevant stakeholders to provide a practical framework for assessing existing transport plans. Then, a three-stage integrated Fermatean fuzzy model for adapting urban transport planning to the pandemic is presented. The model hybridizes the method based on the removal effects of criteria (MEREC) and combined compromise solution (CoCoSo) method into a unique methodological framework under the Fermatean fuzzy environment. A case study provides decision-making guidelines on how to adapt transport plans to COVID-19 in the real-world context of Belgrade, Serbia. The research findings show that the pandemic significantly changed the priorities of transport planning strategies and measures. “Non-motorized travel” is now the best alternative since its numerous short-term measures lead to better transport service. The major advantages of the introduced model are higher flexibility and a more precise fusion of experts’ preference information. The integrated Fermatean fuzzy model could be used for adapting other emerging problems to COVID-19.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Šimić

Ivanović

Djoric

et al. 2022

Sustainable Cities and Society

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“…A stabilization unit is also installed to stabilize the condensate, and heavy liquids are removed from the stream and converted into fluid fuel. The (Thimm and Sullivan, 2004;Getzinger et al, 2015;Ullah et al, 2018). red solid line region in Figure 2 indicates the separation section of the LPG production from natural gas.…”

Section: Separation Sectionmentioning

confidence: 99%

“…LPG was introduced in the market as an auto gas due to its sole usage in automobiles. Almost 10 companies are operating in Pakistan for the production of LPG while more than 80 companies are providing their services for its marketing purposes (Ullah et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Techno Commercial Analysis of Liquefied Petroleum Gas Recovery From Natural Gas Using Aspen HYSYS

et al. 2021

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Liquefied petroleum gas is an alternative, relatively clean and a supreme source of energy, which is being used as a key component in the global energy supply. The international trade agreements and the chemical and non-chemical demand of liquefied petroleum gas with the increase in the world’s population have brought its production from the processing of natural gas to the limelight. During its processing, a variety of different components are extracted from it, including methane and ethane which remains in the bulk as natural gas. The objective of this research work is to find the capability of investigating the liquefied petroleum gas recovery performance to make the process economical by saving the processing cost and energy. The novelty of this work is to deal with the design and simulation of a liquefied petroleum gas plant using Aspen HYSYS. To make this process energy efficient and economical, different schemes of process alternatives were applied by reducing the sizes of the exchanger and other pieces of equipment. Three cases are studied in which feed is precooled by rerouting the stream and/or by repositioning of the chiller for the recovery of liquefied petroleum gas from natural gas by analyzing their cost and process parameters. The modelling and simulation base case and three different case studies are realized in Aspen HYSYS. It has been observed that case study 2 results in about 10% increase in LPG production where the chiller is repositioned in the separation section of the LPG production flowsheet. Case study 3 shows a maximum decrease in hot side utilities in the flowsheet of about 20% while 10 and 14% decreases are observed for case studies 1 and 2, respectively. Furthermore, economic analysis indicates about 18 and 22% in the capital cost for case studies 2 and 3, respectively, due to the lower size of process units. The outcome of this investigation is to present plenty of suggestions to improve the process efficiency and minimize the requirement to over design the plant components.

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“…We also referred to a similar study that was done for photovoltaic energy [15], which included specific criteria for this energy source. More recently, other studies have investigated multi-criteria decision making in the energy sector (Ullah et al [16]; Malkawi et al [17]; Saracoglu et al [18]; Otay and Jaller [19]; Emeksiz and Demirci [20]; Ayodele et al [21]; Ali et al [22]; Gigović et al [23]).…”

Section: Introductionmentioning

confidence: 99%

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

2020

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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.

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Prioritizing the gaseous alternatives for the road transport sector of Pakistan: A multi criteria decision making analysis

Cited by 23 publications

References 31 publications

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Techno Commercial Analysis of Liquefied Petroleum Gas Recovery From Natural Gas Using Aspen HYSYS

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

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