| 生物燃料工厂的能源与水资源的优化(英文) |
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| 引用本文： | Ignacio E. Grossmann,Mariano Martín. 生物燃料工厂的能源与水资源的优化(英文)[J]. 中国化学工程学报, 2010, 18(6): 914-922. DOI: 10.1016/S1004-9541(09)60148-8 |
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| 作者姓名： | Ignacio E. Grossmann Mariano Martín |
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| 作者单位： | Center for Advanced Process Decision-making, Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA |
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| 基金项目： | Center for Advanced Process Decision-making at Carnegie Mellon University and NSF |
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| 摘 要： | In this paper we address the topic of energy and water optimization in the production of bioethanol from corn and switchgrass. We show that in order for these manufacturing processes to be attractive, there is a need to go beyond traditional heat integration and water recycling techniques. Thus, we propose a strategy based on mathematical programming techniques to model and optimize the structure of the processes, and perform heat integration including the use of multi-effect distillation columns and integrated water networks to show that the energy efficiency and water consumption in bioethanol plants can be significantly improved. Specifically, under some circumstances energy can even be produced and the water consumption can be reduced below the values required for the production of gasoline.
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| 关 键 词： | bioethanol water networks energy optimization mathematical programming |
| 收稿时间： | 2010-06-24 |
| 修稿时间： | 2010-6-24 |
Energy and Water Optimization in Biofuel Plants |
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| Ignacio E. Grossmann,Mariano Mart,#xed;n. Energy and Water Optimization in Biofuel Plants[J]. Chinese Journal of Chemical Engineering, 2010, 18(6): 914-922. DOI: 10.1016/S1004-9541(09)60148-8 |
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| Authors: | Ignacio E. Grossmann,Mariano Martí n |
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| Affiliation: | Center for Advanced Process Decision-making, Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA |
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| Abstract: | In this paper we address the topic of energy and water optimization in the production of bioethanol from corn and switchgrass. We show that in order for these manufacturing processes to be attractive, there is a need to go beyond traditional heat integration and water recycling techniques. Thus, we propose a strategy based on mathematical programming techniques to model and optimize the structure of the processes, and perform heat integration including the use of multi-effect distillation columns and integrated water networks to show that the energy efficiency and water consumption in bioethanol plants can be significantly improved. Specifically, under some circumstances energy can even be produced and the water consumption can be reduced below the values required for the production of gasoline. |
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| Keywords: | bioethanol water networks energy optimization mathematical programming |
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