Hydrogen production facility location selection for Black Sea using entropy based TOPSIS under IVPF environment
International Journal of Hydrogen Energy, ISSN: 0360-3199, Vol: 45, Issue: 32, Page: 15855-15868
2020
- 56Citations
- 118Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Parallel with the globally increment in energy demand, governments and responsible authorities’ environmental awareness increases and they have been taking several preventions not to harm environment while energy demand is satisfied. For this purpose decision makers turn their faces to satisfy energy demand via renewable energy sources such as wind, wave, solar, hydro, biomass, hydrogen etc. Before this awareness human was satisfying energy demand via nonrenewable energy sources such as natural gas, coal etc. Even though not being one of these energy sources, hydrogen energy is a primary energy carrying form which is known one of the energy carrier [1]. This study aims to select the most appropriate site in the northern of Turkey for establishing a hydrogen energy hydrogen-sulphide (H 2 S) decomposition plant. Based on the researches, Black Sea is determined as one of the richest water to get H 2 S from. Since selecting the facility location for hydrogen energy production plant requires strategical decisions, Multi Criteria Decision Making (MCDM), as a powerful and efficient tool, is preferred in this study. Accordingly, Entropy and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies are integrated and applied under Interval Valued Pythagorean Fuzzy (IVPF) environment to deal with uncertain information better. The developed method is shown to be useful and effective in terms of applicability and ease of usage. As a result, the best suitable location is determined and sensitivity analysis is conducted to analyze the dynamics of the developed methodology.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0360319919347561; http://dx.doi.org/10.1016/j.ijhydene.2019.12.183; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85077914460&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0360319919347561; https://api.elsevier.com/content/article/PII:S0360319919347561?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S0360319919347561?httpAccept=text/plain; https://dul.usage.elsevier.com/doi/; https://dx.doi.org/10.1016/j.ijhydene.2019.12.183
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know