A comparison of process alternatives for energy-efficient bioethanol downstream processing

被引:17
|
作者
Granjo, Jose F. O. [1 ]
Nunes, Dinis S. [1 ]
Duarte, Belmiro P. M. [1 ,2 ]
Oliveira, Nuno M. C. [1 ]
机构
[1] Univ Coimbra, Dept Chem Engn, CIEPQPF, Rua Silvio Lima,Polo 2, P-3030790 Coimbra, Portugal
[2] Polytech Inst Coimbra, Dept Chem & Biol Engn, ISEC, Rua Pedro Nunes, P-3030199 Coimbra, Portugal
关键词
Gasohol; Ethanol recovery; Process optimization; Techno-economic analysis; Heat exchanger network optimal design; EXTRACTIVE DISTILLATION; SEPARATION TECHNOLOGIES; AZEOTROPIC DISTILLATION; ETHANOL DEHYDRATION; GASOLINE; WATER; RECOVERY; INTEGRATION; OPTIMIZATION; SOLUBILITIES;
D O I
10.1016/j.seppur.2019.116414
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Ethanol is a biofuel used to reduce fossil fuel consumption and the greenhouse gases emissions associated with road transportation. Bioethanol is obtained from diluted fermentation broths, and various technological solutions are available for its recovery and dehydration prior marketing, usually blended with gasoline (gasohol). This work explores an ethanol purification approach where gasoline is used as a separation agent towards the direct production of gasohol. This alternative replaces part of the purification steps in common ethanol downstream processing, providing significant reductions on the operating costs required to produce bioethanol. Two configurations for the direct manufacture of E10 gasohol are analyzed. Process I incorporates a liquid-liquid extraction stage, while Process II uses an extractive distillation arrangement. The energy requirements of both configurations are compared against each other and with a benchmark process where ethanol dehydration is carried out by molecular sieves (Process MS). The results show that both alternatives are energetically advantageous since they can be optimized to reduce their equivalent energy requirements by 33% compared to Process MS, for ethanol concentrations in the fermentation broths between 2 and 10 wt%. Further improvements could be achieved with a multi-effect distillation system in the ethanol concentration step, allowing total energy savings of 68% relatively to the benchmark, for a fermentation broth containing 5 wt% ethanol. Estimated ethanol separation costs are approximately $0.15/kg ethanol, making these technological alternatives especially attractive for large scale industrial application.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Towards energy-efficient packet processing in access nodes
    Hooghe, K.
    Guenach, M.
    2011 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE (GLOBECOM 2011), 2011,
  • [32] Energy-Efficient Query Processing in Web Search Engines
    Catena, Matteo
    Tonellotto, Nicola
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2017, 29 (07) : 1412 - 1425
  • [33] Speech coding for energy-efficient digital signal processing
    Wassner, J
    Kaeslin, H
    Felber, N
    Fichtner, W
    PROCEEDINGS OF THE 43RD IEEE MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS I-III, 2000, : 580 - 583
  • [34] Energy-efficient network processing based on netmap framework
    Redzovic, H.
    Vesovic, M.
    Smiljanic, A.
    Bjelica, M.
    ELECTRONICS LETTERS, 2017, 53 (06) : 407 - 409
  • [35] Energy-Efficient Data Processing at Sweet Spot Frequencies
    Goetz, Sebastian
    Ilsche, Thomas
    Cardoso, Jorge
    Spillner, Josef
    Assmann, Uwe
    Nagel, Wolfgang
    Schill, Alexander
    ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2014 WORKSHOPS, 2014, 8842 : 154 - 171
  • [36] A Database Accelerator for Energy-Efficient Query Processing and Optimization
    Haas, Sebastian
    Arnold, Oliver
    Scholze, Stefan
    Hoeppner, Sebastian
    Ellguth, Georg
    Dixius, Andreas
    Ungethuem, Annett
    Mier, Eric
    Noethen, Benedikt
    Matus, Emil
    Schiefer, Stefan
    Cederstroem, Love
    Pilz, Fabian
    Mayr, Christian
    Schueffny, Rene
    Lehner, Wolfgang
    Fettweis, Gerhard P.
    2016 2ND IEEE NORDIC CIRCUITS AND SYSTEMS CONFERENCE (NORCAS), 2016,
  • [37] Towards an Energy-Efficient Tool for Processing the Big Data
    Renault, Eric
    Boumerdassi, Selma
    2014 INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD (FICLOUD), 2014, : 448 - 452
  • [38] Development of energy-efficient method for processing industrial waste
    Dikhanbayev, B., I
    Dikhanbayev, A. B.
    KOMPLEKSNOE ISPOLZOVANIE MINERALNOGO SYRA, 2019, (04): : 82 - 92
  • [39] Energy-efficient substrate pasteurisation for combined production of shiitake mushroom (Lentinula edodes) and bioethanol
    Xiong, Shaojun
    Martin, Carlos
    Eilertsen, Lill
    Wei, Maogui
    Myronycheva, Olena
    Larsson, Sylvia H.
    Lestander, Torbjorn A.
    Atterhem, Lars
    Jonsson, Leif J.
    BIORESOURCE TECHNOLOGY, 2019, 274 : 65 - 72
  • [40] Thermopulp - A new energy-efficient mechanical pulping process
    Hoglund, H
    Back, R
    Falk, B
    Jackson, M
    PULP & PAPER-CANADA, 1997, 98 (06) : 82 - 89