Multi-criteria evaluation of renewable energy technologies for electricity generation: A case study in Khuzestan province, Iran

Asakereh, Abbas; Soleymani, Mohsen; Ardebili, Seyed Mohammad Safieddin

doi:10.1016/j.seta.2022.102220

Cited by 18 publications

(10 citation statements)

References 69 publications

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“…Unlike Asakereh et al (2022), Buonomano et al (2022), and Zhang and Fu (2022), it is proved that not only internal factors but also external market factors play an important role in the implementation of technological innovations by energy companies.…”

Section: Discussionmentioning

confidence: 99%

“…Technological innovations of energy companies are interpreted as the use of advanced capabilities of scientific and technological progress (in support of the implementation of SDG 9). In the works of Asakereh et al (2022), Buonomano et al (2022), and Zhang and Fu (2022), breakthrough technologies such as robots, artificial intelligence, and Big Data are cited as key technological innovations at the present stage of the Fourth Industrial Revolution. In accordance with this, it is also indicated that technological innovations of energy companies are determined by internal factors-the successful introduction and active practical application of the aforementioned breakthrough technologies.…”

Section: Place Of Technological Innovations In the System Of Corporat...mentioning

confidence: 99%

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Corporate Social Responsibility of Energy Companies: International Experience and Polycriterial Evaluation of Technological Innovations’ Effectiveness

et al. 2022

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Section: Discussionmentioning

confidence: 99%

Section: Place Of Technological Innovations In the System Of Corporat...mentioning

confidence: 99%

Corporate Social Responsibility of Energy Companies: International Experience and Polycriterial Evaluation of Technological Innovations’ Effectiveness

et al. 2022

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“…The criteria for evaluating and classifying renewable energy sources have been extensively explored in the relevant literature (Asakereh et al, 2022; Cradden et al, 2016; Rahman et al, 2022; Tavana et al, 2017; Usman et al, 2022; Vanegas‐Cantarero et al, 2022). Importantly, this study is supported by Rahman et al (2022) and classifies specific political, social, and country‐related renewable energy development criteria.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Mcdm For Renewable Energy Site Selectionmentioning

confidence: 99%

A prospect theory extension of data envelopment analysis model for wave‐wind energy site selection in New Zealand

Wang,

Nguyen,

Nhieu

et al. 2023

Manage Decis Econ

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Renewable energy sources have been utilized by countries worldwide, but offshore energy exploitation projects remain highly promising for both the world and New Zealand specifically. The selection of equipment installation locations can be challenging and requires significant investment, prompting the need for optimization in offshore energy exploitation. Wind and wave location (WWL) integrated sites offer a highly potential solution for reducing installation costs and enhancing efficiency in renewable energy exploitation. However, the decision‐making process for selecting equipment locations is crucial and directly affects the outcome. This study aims to evaluate and consider sustainable and effective equipment installation sites based on both quantitative indicators and behavioral psychology of decision making. To achieve this goal, the study utilizes the prospect theory Data Envelopment Analysis (PT‐DEA) model, which builds on PT to analyze and evaluate the effectiveness of offshore installation site selection with consideration for human psychology. By combining the results of quantitative indicators and decision‐making behavior, the study identifies sustainable and effective offshore installation sites, recommending appropriate equipment installation locations WWL. The study is also compared and referenced with relevant plans, projects, and development policies in New Zealand for confirmation.

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“…MCDM methods organize factors and alternatives to accomplish the objective. Asakereh et al (2022) argue that comprehensive assessment approaches are commonly based on the assessments of users using a pairwise comparisons matrix, which might lead to erroneous outcomes for alternatives or criteria. The fuzzy logic is an excellent tool for tackling such problems and simulations (Abdul & Wenqi, 2022).…”

Section: Introductionmentioning

confidence: 99%

Assessment of biomass energy barriers towards sustainable development: Application of Pythagorean fuzzy AHP

Shahzad

Abdul

et al. 2023

Geological Journal

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Biomass has the dual benefit of promoting economic expansion and protecting the environment. Sugarcane bagasse, animal manure, and kitchen waste are some of the sources of biomass waste that are abundant in Pakistan. However, achieving renewable energy goals while relying on Pakistani road plans is riddled with difficulties. In contrast, there is a significant research gap in examining the barriers to biomass energy development using the multiple‐criteria decision‐making technique. This study aims to fill a knowledge gap by applying the Pythagorean fuzzy analytic hierarchy process to the problem of how to overcome the barriers to expanding Pakistan's biomass power generation. The results reveal that the political and policies/institutions are the most noteworthy obstacle with a weight of 0.2281 and follow the economics and financial, meteorological, technology and infrastructure, and cultural and behavioural hurdles stand second to fifth places, respectively. In addition, the analyses demonstrate that political instability is the most important sub‐obstacle, possessing a global weight of 0.0471. According to the study's outcome, it is suggested that decision‐makers, stakeholders, and regulatory agencies coordinate their efforts to ensure the availability of appropriate incentives, boost feedstock supply, and offer locals training to speed up the Pakistan biomass industry's presently sluggish growth.

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Multi-criteria evaluation of renewable energy technologies for electricity generation: A case study in Khuzestan province, Iran

Cited by 18 publications

References 69 publications

Corporate Social Responsibility of Energy Companies: International Experience and Polycriterial Evaluation of Technological Innovations’ Effectiveness

Corporate Social Responsibility of Energy Companies: International Experience and Polycriterial Evaluation of Technological Innovations’ Effectiveness

A prospect theory extension of data envelopment analysis model for wave‐wind energy site selection in New Zealand

Assessment of biomass energy barriers towards sustainable development: Application of Pythagorean fuzzy AHP

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