Integration of interpretive structural modelling with Bayesian network for biodiesel performance analysis

Sajid, Zaman; Khan, Faisal; Zhang, Yan

doi:10.1016/j.renene.2017.01.058

Cited by 50 publications

(28 citation statements)

References 28 publications

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“…Energy-consumption data for each energy variable are reported separately, which indicates their non-interdependence. Uncertainty analysis here does not represent the uncertainties in energy-production processes, as has been reported by some researchers [25,32]. This research does not study their interdependencies.…”

Section: Problem Statementmentioning

confidence: 95%

“…The scope of this study includes performing uncertainty analysis on energy-consumption data only. This is based on the fact that, as opposed to energy supply, energy-consumption data have more chance of being reported vaguely, as highlighted in various research works [32,33]. The energy variables in this study are the consumers, which include industry, domestic, and commercial use, agriculture, transportation, and other government businesses.…”

Section: Problem Statementmentioning

confidence: 99%

“…This research does not study their interdependencies. However, there are methodologies available to study such interdependencies [32]. To curb its energy crisis, Pakistan is also focusing on renewable energy sources; however, their environmental impact is yet to be examined [33].…”

Section: Problem Statementmentioning

confidence: 99%

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A Stochastic Approach to Energy Policy and Management: A Case Study of the Pakistan Energy Crisis

Sajid

Javaid

2018

Energies

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The energy policy of a country dictates its ability to better manage and deal with an energy crisis. A sustainable energy policy deals with not only energy production but also with energy consumption. In the past, the government of Pakistan has lacked such an approach. This study aims to develop a policy-making framework to improve the energy management of Pakistan through a probabilistic approach. Stochastic analysis is performed in this study and the uncertainty in energy data is used to propose a holistic energy policy. Energy-utilization data from 17 different sources are used to compare the accuracy of energy-consumption data from 1989 to 2013. The analysis reveals that there exists an uncertainty in energy-consumption data and the major cause of this uncertainty is energy theft. The analysis shows that the industry has the highest uncertainty in its energy-data utilization, followed by the transport and the domestic sectors of Pakistan. Based on stochastic analysis, seven recommended energy-policy guidelines are presented to manage the energy crisis in the country. The analysis proposes that Pakistan needs to take measures to control energy theft.

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Section: Problem Statementmentioning

confidence: 95%

Section: Problem Statementmentioning

confidence: 99%

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A Stochastic Approach to Energy Policy and Management: A Case Study of the Pakistan Energy Crisis

Sajid

Javaid

2018

Energies

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“…The steps used in ISM methodology were explained in figure 1. ISM follows several steps (Sajid et al, 2017), which are described as:…”

Section: Ism-micmacmentioning

confidence: 99%

When challenges impede the process

et al. 2019

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Purpose The food organisations are pushing to adopt circular economy initiatives to enhance economic–ecological–social sustainability of supply chains. The adoption of circular economy and sustainability aspects is complex from the point of view of developing nations compared to the developed nations. In this sense, the purpose of this paper is to develop a model of the challenges for implementing the successful circular economy-led sustainability concepts in food supply chains in emerging economies, especially in the Indian context. Design/methodology/approach The authors recognised 11 circular economy-led sustainability-related challenges and analysed appropriate interactions among the identified challenges. The Delphi method was used for the confirmation of identified challenges. The challenges were identified initially with the help of literature. Interpretive structural modelling method was used for modelling the challenges. In addition, MICMAC analysis was used for classifying the challenges based on their dependence and driving power. A case study of diary food processing company in India was conducted. Findings According to the findings, poor government policies, lack of technology and techniques and lack of farmers’ knowledge and awareness come under the driving challenges. Practical implications Understanding of circular economy-led sustainability-related challenges would help managers and policy makers in the sustainable management of natural resources in food value chains. Originality/value This is one of the initial works conducted on identifying and evaluating the challenges to circular economy-based sustainability aspects in food value chains.

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“…It is worth mentioning here that for simplicity purposes, the interdependencies among social variables in the GreenZee model are not considered. However, there are methodologies available in the literature [56,57] that study the interdependencies of variables and can be integrated into the GreenZee model.…”

Section: Phase 3: Life Cycle Impact Assessmentmentioning

confidence: 99%

Financial Modelling Strategies for Social Life Cycle Assessment: A Project Appraisal of Biodiesel Production and Sustainability in Newfoundland and Labrador, Canada

Sajid

Lynch

2018

Sustainability

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Social Life Cycle Assessment (S-LCA) is a rapidly evolving social impact assessment tool that allows users to identify the social impacts of products along with their life cycles. In recent years, S-LCA methodologies have been increasingly applied to energy systems and resources with notable success yet with limited reliability and even less flexibility or geographic specificity. In response, this study develops a novel assessment tool, named the GreenZee model, to reflect the social impacts of products and their sustainability using local currency units. The model is developed through evaluating both qualitative and quantitative inputs that capture the perceived monetary value of social impacts. To demonstrate the operationalization of the model, we explore a hypothetical case study of the biodiesel industry in Newfoundland and Labrador (NL), Canada. Results indicate that biodiesel production in NL would have positive socio-cultural impacts, high cultural values, and would create employment opportunities for locals. Overall, the GreenZee model provides users with a relatively simple approach to translate a variety of qualitative and quantitative social impact inputs (as importance levels) into meaningful and understandable financial outputs (as strength levels). We argue that building and testing models such as the GreenZee are crucial to supporting more flexible approaches to life cycle assessments that need to address increasingly complex social categories, cultural values, and geographic specificity.

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Integration of interpretive structural modelling with Bayesian network for biodiesel performance analysis

Cited by 50 publications

References 28 publications

A Stochastic Approach to Energy Policy and Management: A Case Study of the Pakistan Energy Crisis

A Stochastic Approach to Energy Policy and Management: A Case Study of the Pakistan Energy Crisis

When challenges impede the process

Financial Modelling Strategies for Social Life Cycle Assessment: A Project Appraisal of Biodiesel Production and Sustainability in Newfoundland and Labrador, Canada

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