The cultivation of sweet sorghum （sorghum bicolor） is still one of the new promising energy crops for bioethanol production nowadays. An opinion poll for the establishment of a bioethanol plant utilizing local resou...The cultivation of sweet sorghum （sorghum bicolor） is still one of the new promising energy crops for bioethanol production nowadays. An opinion poll for the establishment of a bioethanol plant utilizing local resources such as the cultivation of sweet sorghum and the zeolite deposits was held. Data were collected by heads of selected households of the Municipality of Trigono （Evros, Greece）. The simple random sampling was applied and a face-to-face interviewing and filling in of the forms of a questionnaire was conducted. It was estimated that some 44,778-55,971 acres of land should be cultivated with sweet sorghum for a satisfactory production of bioethanol in a bioethanol plant in the order of 120,000-150,000 tons/year. Furthermore, in this paper an optimum solution was estimated by using of the Fuzzy Logic Toolbox of Matlab （Intelligent system） which is formulated as follows ＂the bioethanol plant absorbing the sweet sorghum＇s production of a cultivating area of 46,600 acres and operating 12 hours/day would produce 125,000 tons of bioethanol annually＂. Such a vast area of land would offer occupation to a significant number of young farmers for the cultivation of sweet sorghum.展开更多
Hydrogen is starting to be mentioned as an alternative fuel to replace the fossil fuel in future transportation applications due to its characteristics of zero greenhouse gas emission and high energy efficiency. Befor...Hydrogen is starting to be mentioned as an alternative fuel to replace the fossil fuel in future transportation applications due to its characteristics of zero greenhouse gas emission and high energy efficiency. Before hydrogen fuel and its facilities can be introduced to the public, relevant safety issues and its hazards must be assessed in order to avoid any chance of injury or loss. While a traditional risk assessment has difficulty in prioritizing the risk of failure modes, this paper proposes a new fuzzy-based risk evaluation technique which uses fuzzy value to prioritize the risk of various scenarios. In this study, the final risk of each failure modes was prioritized by using the MATLAB fuzzy logic tool box with a combination of two assessments. The first assessment was concerned with the criteria which affected the actual probability of occurrence. This assessment considered the availability of the standard that was applied to prevent the likelihood of the scenario occurring. On the other hand, the second assessment was focused on evaluating the consequence of the failure by taking into account the availability of detection and the complexity of the failure rather than only the severity of the scenarios. A total of 87 failure scenarios were identified using failure modes and effect analysis (FMEA) procedures on hydrogen refueling station models. Fuzzy-based assessments were performed through risk prioritizing various failure scenarios with a fuzzy value (0 to 1) and risk level (low, medium, and high) while a traditional risk assessment approach presented the risks only in forms of level (low, medium, and/or high). Availability of the fuzzy value enabled further prioritizing on the risk results that fell in the same level of risk. This study concluded that fuzzy-based risk evaluation is able to further prioritize the decisions when compared with a traditional risk assessment method.展开更多
文摘The cultivation of sweet sorghum （sorghum bicolor） is still one of the new promising energy crops for bioethanol production nowadays. An opinion poll for the establishment of a bioethanol plant utilizing local resources such as the cultivation of sweet sorghum and the zeolite deposits was held. Data were collected by heads of selected households of the Municipality of Trigono （Evros, Greece）. The simple random sampling was applied and a face-to-face interviewing and filling in of the forms of a questionnaire was conducted. It was estimated that some 44,778-55,971 acres of land should be cultivated with sweet sorghum for a satisfactory production of bioethanol in a bioethanol plant in the order of 120,000-150,000 tons/year. Furthermore, in this paper an optimum solution was estimated by using of the Fuzzy Logic Toolbox of Matlab （Intelligent system） which is formulated as follows ＂the bioethanol plant absorbing the sweet sorghum＇s production of a cultivating area of 46,600 acres and operating 12 hours/day would produce 125,000 tons of bioethanol annually＂. Such a vast area of land would offer occupation to a significant number of young farmers for the cultivation of sweet sorghum.
基金Project (No. D000023-16001) supported by the Malaysian Ministry of Higher Education (MOHE) High Impact Research Foundation
文摘Hydrogen is starting to be mentioned as an alternative fuel to replace the fossil fuel in future transportation applications due to its characteristics of zero greenhouse gas emission and high energy efficiency. Before hydrogen fuel and its facilities can be introduced to the public, relevant safety issues and its hazards must be assessed in order to avoid any chance of injury or loss. While a traditional risk assessment has difficulty in prioritizing the risk of failure modes, this paper proposes a new fuzzy-based risk evaluation technique which uses fuzzy value to prioritize the risk of various scenarios. In this study, the final risk of each failure modes was prioritized by using the MATLAB fuzzy logic tool box with a combination of two assessments. The first assessment was concerned with the criteria which affected the actual probability of occurrence. This assessment considered the availability of the standard that was applied to prevent the likelihood of the scenario occurring. On the other hand, the second assessment was focused on evaluating the consequence of the failure by taking into account the availability of detection and the complexity of the failure rather than only the severity of the scenarios. A total of 87 failure scenarios were identified using failure modes and effect analysis (FMEA) procedures on hydrogen refueling station models. Fuzzy-based assessments were performed through risk prioritizing various failure scenarios with a fuzzy value (0 to 1) and risk level (low, medium, and high) while a traditional risk assessment approach presented the risks only in forms of level (low, medium, and/or high). Availability of the fuzzy value enabled further prioritizing on the risk results that fell in the same level of risk. This study concluded that fuzzy-based risk evaluation is able to further prioritize the decisions when compared with a traditional risk assessment method.
