A Data Envelopment Analysis Method for Location Optimization of Microalgae Cultivation: A Case Study

Babazadeh, Reza; Khalili, Mohammad; Toloo, Mehdi

doi:10.1007/s12649-018-0371-1

Cited by 6 publications

(4 citation statements)

References 56 publications

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“…The objective function in their study maximizes the total annual profit, which land required for cultivation, water costs and transportation costs being main criteria when it comes to selecting the best locations for cultivation. Khanjapanah et al [11] used DEA to identify the best location for switchgrass cultivation in Iran, based on land costs, human deployment index, annual rainfall, annual average of mean daily temperature, water resources, amount of arid and semi-arid land, population, unemployment rate and fuel demand, while Babazadeh et al [40] tried to determine the optimal location in Iran to cultivate algae, a potential ingredient for biodiesel production, also using DEA, and including human deployment index, annual rainfall, annual average of temperature, solar radiation, population, cultivation cost and the amount of wastewater as the main criteria used.…”

Section: Literature Reviewmentioning

confidence: 99%

Corn cultivation location selection for bioethanol production: An application of BWM and extended PROMETHEE II

Kheybari

Javdanmehr

Rezaie

et al. 2021

Energy

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The purpose of this paper is to streamline the supply of corn, one of the key ingredients in the production of bioethanol. Using a comprehensive sustainable framework of criteria (including social, economic, and environmental dimensions), the potential locations of corn cultivation in Iran are examined from a multicriteria decision analysis perspective. To this end, we need to find the importance of the relevant evaluation criteria and a ranking method to rank the potential locations. Best worst method (BWM) is used to determine the weight of the criteria presented in the framework based on the opinion of a sample of Iranian experts, after which the 'preference ranking organization method for enrichment evaluations II' (PROMETHEE II) is applied to ranking the different provinces of Iran. To improve the ranking results, we extend the PROMETHEE II by employing a set of piecewise linear value functions, for which the performance of alternatives with respect to the criteria calculated by the piecewise linear value functions is used to determine the amount of deviation in the first step of PROMETHEE II. The results of the hybrid methodology indicate that the presence of water, land cost and air pollution are the most important factors determining the ranking of the alternatives, and that Kordestan is the best province for corn cultivation in Iran.

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Section: Literature Reviewmentioning

confidence: 99%

Corn cultivation location selection for bioethanol production: An application of BWM and extended PROMETHEE II

Kheybari

Javdanmehr

Rezaie

et al. 2021

Energy

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“…During nutrient reduction in wastewater, algae compensate for their carbon requirement by a nitrification/denitrification process and help reduce carbon dioxide via photosynthesis (Elcik 2016). However, PBR is affected by weather conditions (Babazadeh et al 2020).…”

Section: Photobioreactors (T4)mentioning

confidence: 99%

“…40% of the municipalities in Brazil have used algae to generate biodiesel from wastewater. It has been stated that with the production of 70-100 tons of microalgae, there could be a cost saving of USD48,400-USD74,800 for nitrogen and USD4,575-USD7,625 for phosphorus per hectare per year (Babazadeh et al 2020).…”

Section: Sensitivity Analysismentioning

confidence: 99%

“…This model considers the technologies' strengths, weaknesses, opportunities, and threats (similar to a SWOT analysis) (Erginel et al 2014). In the literature, there are studies on microalgae harvest-drying processes (Tan et al 2016) and site selection (Mohseni et al 2016;Anggraini et al 2018;Babazadeh et al 2020); hydrogen production processes (Ren et al 2013;Xu et al 2019); and microbial fuel cells (MFCs) (He and Ma 2013). Xu et al (2019) examined thermochemical, electrolysis, direct solar water splitting, and biological alternatives.…”

Section: Introductionmentioning

confidence: 99%

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Prioritizing novel wastewater-to-hydrogen production technologies based on different decision-making approaches

Adar

2021

Clean Techn Environ Policy

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With the increasing population, the amount of wastewater that needs to be managed is also increasing. Population growth also increases energy demand. While treating wastewater containing organic matter and water, hydrogen energy can be produced at the same time. In this study, microbial fuel cells, dark fermentation, supercritical water gasification, and photobioreactors that produce hydrogen from wastewater have been evaluated and prioritized for the first time in terms of benefit, opportunity, cost, and risk criteria. The analytic hierarchy process (AHP) technique and benefit, opportunity, cost, and risk (BOCR) model have been used to achieve this aim. In addition, a sensitivity analysis was performed to determine critical criteria for prioritizing technologies. With the analytic hierarchy process technique, it was determined that the criterion with the highest priority was benefit (53%), while the sub-criterion with the highest priority was technological development (33%) followed by operating cost (15%) and compliance with sustainability (12%). Supercritical water gasification technology was found to be the top priority with the AHP technique. In the BOCR model, dark fermentation was determined to be the highest priority technology. In the sensitivity analysis, changes in the weights of the opportunity and cost criteria showed that these criteria were critical. The results obtained show that dark fermentation, which is a technology close to the development, is preferred in the first rank because it has less risk and can produce a high rate of hydrogen. This study could spur more R&D work for researchers to industrialize this technology. It can also give an idea for different studies to researchers.

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A data envelopment analysis model for location optimization of feedstock cultivation in a biodiesel supply chain: a case study

Mohtashami

Bozorgi-Amiri

Tavakkoli‐Moghaddam

2023

Environ Dev Sustain

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A Data Envelopment Analysis Method for Location Optimization of Microalgae Cultivation: A Case Study

Cited by 6 publications

References 56 publications

Corn cultivation location selection for bioethanol production: An application of BWM and extended PROMETHEE II

Corn cultivation location selection for bioethanol production: An application of BWM and extended PROMETHEE II

Prioritizing novel wastewater-to-hydrogen production technologies based on different decision-making approaches

A data envelopment analysis model for location optimization of feedstock cultivation in a biodiesel supply chain: a case study

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