Life cycle approach in sustainability assessment for petroleum refinery projects with fuzzy-AHP

Hasheminasab, Hamidreza; Gholipour, Yaghob; Kharrazi, Mohammadreza; Štreimikienė, Dalia

doi:10.1177/0958305x18772425

Cited by 20 publications

(10 citation statements)

References 40 publications

(62 reference statements)

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“…For instance, among the previous studies carried out addressing sustainability assessment of the fossil fuels, a research group focused on measuring the sustainability profile for a petroleum refinery project in a static decision environment (Hasheminasab et al, 2018a) and dynamic circumstances, the latter of which allowed the decision making framework to be modified based on the particular project conditions (Hasheminasab et al, 2020). This chain of studies on the sustainability of petroleum refinery projects performed research on scenario analysis (Gholipour et al, 2018) and fast-track decision making (Hasheminasab et al, 2018b) in the assessment process. A variety of other studies in the petrochemical (Heravi et al, 2015(Heravi et al, , 2017 and upstream oil field projects (Poveda & Lipsett, 2014a, 2014b, have been published, which cover the sustainability assessment of fossil fuel projects.…”

Section: Literature Reviewmentioning

confidence: 99%

A circular economy model for fossil fuel sustainable decisions based on MADM techniques

Hasheminasab

Zolfani

Zavadskas

et al. 2021

Economic Research-Ekonomska Istraživanja

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Fossil fuels as the primary energy source create career opportunities, provide industries with vital raw material and energy resources, have harmful emissions to the environment and are also related to finite natural resources. They rely on them as the main source of energy supply is unsustainable. Sustainability assessment tools may be useful in developing a more sustainable scenario. However, the resiliency of nature is not taken into account in this linear assessment. The detrimental effect of these fuels on the environment during their life cycle would suggest transitioning from cradle-to-grave to the cradle-to-cradle lifecycle viewpoint. This study implements the Circular Economic (CE) in fossil fuel development to minimize the unsustainable effects and ensure the environment's resiliency. In this context, three different fossil fuels are assessed based on the CE model's proposed lifecycle phases to find out the most sustainable fossil fuel option. A case study is carried out in an industrial location with high-level decision-makers. CE criteria are evaluated based on the E-SWARA method to ensure the assessment's reliability at this critical step. Next, a novel MCDM method, MARCOS, is applied to this study. Based on the results, gas is the most sustainable energy generation plant in the intended region.

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Section: Literature Reviewmentioning

confidence: 99%

A circular economy model for fossil fuel sustainable decisions based on MADM techniques

Hasheminasab

Zolfani

Zavadskas

et al. 2021

Economic Research-Ekonomska Istraživanja

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“…A DEA model has been used to reduce the complexity of solving the proposed model [54]. AHP combined with a fuzzy set theory enhances the reliability of the sustainable results along different stages of petroleum refinery industry projects [55]. Analytical modeling can be used to evaluate and improve the performance of an ESC but has strong a limitation in the description of realistically complex supply processes, including stochastic and dynamic structures, uncertainty and partial information sharing [56].…”

Section: State-of-the-art Literature Review On Energy Supply Chain Modelsmentioning

confidence: 99%

A Simulation-Based Multi-Objective Optimization Framework for the Production Planning in Energy Supply Chains

2021

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The work presents a simulation-based Multi-Objective Optimization (MOO) framework for efficient production planning in Energy Supply Chains (ESCs). An Agent-based Model (ABM) that is more comprehensive than others adopted in the literature is developed to simulate the agent’s uncertain behaviors and the transaction processes stochastically occurring in dynamically changing ESC structures. These are important realistic characteristics that are rarely considered. The simulation is embedded into a Non-dominated Sorting Genetic Algorithm (NSGA-II)-based optimization scheme to identify the Pareto solutions for which the ESC total profit is maximized and the disequilibrium among its agent’s profits is minimized, while uncertainty is accounted for by Monte Carlo (MC) sampling. An oil and gas ESC model with five layers is considered to show the proposed framework and its capability of enabling efficient management of the ESC sustained production while considering the agent’s uncertain interactions and the dynamically changing structure.

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“…There are a variety of methods for assessing the sustainability of products; these methods were investigated for petroleum-based materials (refinery products) and the results revealed the lack of knowledge in assessing the environmental and social impacts (Clancy, Fröling, & Svanström, 2013). Another study was carried out using the Pareto principle to find the most important 20% of sustainability indicators in the hierarchy of the criteria with the FAHP technique (Hasheminasab, Gholipour, Kharrazi, & Streimikiene, 2018b).…”

Section: Literaturementioning

confidence: 99%

A dynamic sustainability framework for petroleum refinery projects with a life cycle attitude

Hasheminasab

Gholipour

Kharrazi

et al. 2020

Sustainable Development

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For developing countries, energy infrastructure projects are not only important from a political and strategic point of view, but they are also of major significance in terms of sustainability. Energy infrastructure projects have major impacts on all three pillars of sustainability, that is, social, economic, and environmental. Refinery projects can have an even bigger impact on all three pillars, in terms of magnitude and severity of the consequences. Therefore, it is important to introduce methods and solutions to improve the level of sustainability at which petroleum refinery projects are designed, constructed, and operated. Petroleum refinery projects are multidisciplinary, multiattribute, and multistakeholder projects and decisions in this regard are always difficult to make and unclear about sustainability in the life-cycle of the project. To deal with these complexities, a dynamic sustainability assessment framework has been proposed in this study. In this framework, different petroleum refinery project's properties such as location, size, functions, stakeholders, products, environmental resiliency, and so on are considered in various life-cycle phases and are used to come up with a customized framework. Accordingly, a hierarchy of the latest and the most suitable Multiple Criteria Decision Making methodologies are utilized for different decision-making environments to realize the required dynamicity in these projects. The methods used here are Grey Weighted Aggregated Sum Product Assessment, Fuzzy Evaluation based on Distance from Average Solution, and Combinative Distance-Based Assessment, each of which are proposed for different decisionmaking levels. The proposed methodology is applied to a real petroleum refinery project as a case study. Based on the case study results, the economical pillar gets nearly 50% of the importance based on the project's specific situation. Also, health, atmosphere, and economic performance are the most important indicators among social, environmental, and economic pillars, respectively. At the lowest level, quantitative factors are also ranked and weighted. For instance, the frequency of labors' illness is the highest health factors in the social pillar of sustainability.

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Life cycle approach in sustainability assessment for petroleum refinery projects with fuzzy-AHP

Cited by 20 publications

References 40 publications

A circular economy model for fossil fuel sustainable decisions based on MADM techniques

A circular economy model for fossil fuel sustainable decisions based on MADM techniques

A Simulation-Based Multi-Objective Optimization Framework for the Production Planning in Energy Supply Chains

A dynamic sustainability framework for petroleum refinery projects with a life cycle attitude

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