BibTex RIS Kaynak Göster

Yıl 2015, Cilt: 36 Sayı: 3, 1905 - 1913, 13.05.2015

Mohammad Hosein Eghbal Ahmadi

Öz

Kaynakça

  • −E RT C CS−2 exp(E RT C2( )n k5=318 m mol s1)) E5=55703.8 ( . J mol1)) k6 =18 10 ( .3 × reaction10 r E6 =17988 ( . J mol1)) −1)) −1)) 2S 7 k7 =53 10 ( .3 × m mol s1−1 E7=160630 ( . J mole1)) − ) −1))
  • After reconciliation Date 2 0.00186 0.00365 0.00021 0.000576 53 65 26 1124 1219 101 140 1124 48 54 25 1124 1124 Te Stream 4 at ur e/ C Parameters name k1 458 k4 2280955772 k7 55853000 k2 0.888 k6 2201800 3 n 02 CONCLUSIONS
  • Narasimhan, S., & Jordache, C, Gulf Professional Publishing, (1999).
  • Prata, D. M., Schwaab, M., Lima, E. L., & Pinto, J. C., Chem. Eng. Sci., 64, 3953, (2009).
  • Martinez Prata, D., Schwaab, M., Luis Lima, E., & Carlos Pinto, J., Chem. Eng. Sci., 65, 4943, (2010).
  • Crowe, C. M., J. Process. Contr, 6, 89, (1996).
  • Kuehn, D. R., & Davidson, H., Chem. Eng. Prog, 57, 44, (1961).
  • Hlaváček, V., Comput. Chem. Eng., 1, 75, (1977).
  • Tamhane, A. C., & Mah, R. S., Technometrics, 27, 409, (1985).
  • Mah, R. S., & Mah, R. S. Butterworths, Boston, 1990.
  • Madron, F., Ellis Horwood, Chichester, 1992.
  • Bagajewicz, M. J., Latin. Am. Appl. Res, 30 (4) (2000) 335-342.
  • Britt, H. I., & Luecke, R. H., Technometrics, 15, 233, (1973).
  • Stephenson, G. R., & Shewchuk, C. F., AICHE. J, 32, 247, (1986).
  • Serth, R. W., Valero, C. M., & Heenan, W. A., Chem. Eng. Commun, 51, 89, (1987).
  • Han, S., J. Optimiz. Theory. App. 22, 297, (1977).
  • Chen, H. S., & Stadtherr, M. A., Comput. Chem. Eng, 8, 229, (1984).
  • J. Abadie, Sijthoff and Noordhoff, Holland, (1978).
  • Lasdon, L. S., & Waren, A. D., Sijthoff and Noordhoff, Holland, (1978).
  • Chen, J., & Romagnoli, J. A., Comput. Chem. Eng, 22, 559, (1998).
  • Wongrat, W., Srinophakun, T., & Srinophakun, P., Comput. Chem. Eng, 29, 1059, (2005).
  • Schwaab, M., Biscaia Jr, E. C., Monteiro, J. L., & Pinto, J. C., Chem. Eng. Sci, 63, 1542, (2008).
  • Parsopoulos, K. E., Laskari, E. C., & Vrahatis, M. N. Proceedings of the Conference on Artificial Intelligence and Applications, USA, (2001).
  • Reilly, P. M., & Carpani, R. E, Proceedings of the 13th Canadian Chemical Engineering Conference, Montreal, Quebec, 1963.
  • Dempf, D., & List, T. Comput. Chem. Eng, 22, S1023, (1998).
  • Bagajewicz, M. J., & Cabrera, E. Ind. Eng. Chem. Res, 42, 5596, (2003).
  • Al Arfaj, M. A. AICHE. J, 52, 414, (2006).
  • Hu, M., & Shao, H., Ind. Eng. Chem. Res, 45, 8973, (2006).
  • Homma, S., Watanabe, M., Koga, J., & Matsumoto, S., J. Nucl. Sci. Technol, 48, 1285, (2011).
  • K.A. Hawbolt, Ph.D. thesis, The University of Calgary, Canada, (1998).
  • Manenti, G., Papasidero, D., Manenti, F., Bozzano, G., & Pierucci, S., Procedia. Eng., 42, 376, (2012).
  • Karan, K., Mehrotra, A. K., & Behie, L. A. Ind. Eng. Chem. Res, 37, 4609, (1998).
  • Monnery, W. D., Hawboldt, K. A., Pollock, A. E., & Svrcek, W. Y., Ind. Eng. Chem. Res, 40, 144, (2001).
  • Monnery, W. D., Hawboldt, K. A., Pollock, A., & Svrcek, W. Y. Chem. Eng. Sci, 55, 5141, (2000).
  • Hawboldt, K. A., Monnery, W. D., & Svrcek, W. Y., Chem. Eng. Sci, 55, 957, (2000).

Data reconciliation and gross error detection: application in chemical processes

Yıl 2015, Cilt: 36 Sayı: 3, 1905 - 1913, 13.05.2015

Mohammad Hosein Eghbal Ahmadi

Öz

Abstract. Measured data are normally corrupted by different kinds of errors in many chemical processes. In this work, a brief overview in data reconciliation and gross error detection believed as the most efficient technique in reducing the measurement errors and obtaining accurate information about the process is presented. In addition to defining the basic problem and a survey of recent developments in this area that is categorized in “Real Time Optimization” field, we will describe about advanced optimization methods in nonlinear cases. At the end, implementation of data reconciliation is illustrated on a challenging process of Claus as a case study and as a result, a modified and consistent model with regard to measured data is presented by simultaneous estimation of key model parameters. In our case study, automation capability of ASPEN HYSYS is used to provide interface environment to reach global optimum.

Anahtar Kelimeler

Data Reconciliation Gross Error Detection Optimization Modeling Claus Process

Kaynakça

  • −E RT C CS−2 exp(E RT C2( )n k5=318 m mol s1)) E5=55703.8 ( . J mol1)) k6 =18 10 ( .3 × reaction10 r E6 =17988 ( . J mol1)) −1)) −1)) 2S 7 k7 =53 10 ( .3 × m mol s1−1 E7=160630 ( . J mole1)) − ) −1))
  • After reconciliation Date 2 0.00186 0.00365 0.00021 0.000576 53 65 26 1124 1219 101 140 1124 48 54 25 1124 1124 Te Stream 4 at ur e/ C Parameters name k1 458 k4 2280955772 k7 55853000 k2 0.888 k6 2201800 3 n 02 CONCLUSIONS
  • Narasimhan, S., & Jordache, C, Gulf Professional Publishing, (1999).
  • Prata, D. M., Schwaab, M., Lima, E. L., & Pinto, J. C., Chem. Eng. Sci., 64, 3953, (2009).
  • Martinez Prata, D., Schwaab, M., Luis Lima, E., & Carlos Pinto, J., Chem. Eng. Sci., 65, 4943, (2010).
  • Crowe, C. M., J. Process. Contr, 6, 89, (1996).
  • Kuehn, D. R., & Davidson, H., Chem. Eng. Prog, 57, 44, (1961).
  • Hlaváček, V., Comput. Chem. Eng., 1, 75, (1977).
  • Tamhane, A. C., & Mah, R. S., Technometrics, 27, 409, (1985).
  • Mah, R. S., & Mah, R. S. Butterworths, Boston, 1990.
  • Madron, F., Ellis Horwood, Chichester, 1992.
  • Bagajewicz, M. J., Latin. Am. Appl. Res, 30 (4) (2000) 335-342.
  • Britt, H. I., & Luecke, R. H., Technometrics, 15, 233, (1973).
  • Stephenson, G. R., & Shewchuk, C. F., AICHE. J, 32, 247, (1986).
  • Serth, R. W., Valero, C. M., & Heenan, W. A., Chem. Eng. Commun, 51, 89, (1987).
  • Han, S., J. Optimiz. Theory. App. 22, 297, (1977).
  • Chen, H. S., & Stadtherr, M. A., Comput. Chem. Eng, 8, 229, (1984).
  • J. Abadie, Sijthoff and Noordhoff, Holland, (1978).
  • Lasdon, L. S., & Waren, A. D., Sijthoff and Noordhoff, Holland, (1978).
  • Chen, J., & Romagnoli, J. A., Comput. Chem. Eng, 22, 559, (1998).
  • Wongrat, W., Srinophakun, T., & Srinophakun, P., Comput. Chem. Eng, 29, 1059, (2005).
  • Schwaab, M., Biscaia Jr, E. C., Monteiro, J. L., & Pinto, J. C., Chem. Eng. Sci, 63, 1542, (2008).
  • Parsopoulos, K. E., Laskari, E. C., & Vrahatis, M. N. Proceedings of the Conference on Artificial Intelligence and Applications, USA, (2001).
  • Reilly, P. M., & Carpani, R. E, Proceedings of the 13th Canadian Chemical Engineering Conference, Montreal, Quebec, 1963.
  • Dempf, D., & List, T. Comput. Chem. Eng, 22, S1023, (1998).
  • Bagajewicz, M. J., & Cabrera, E. Ind. Eng. Chem. Res, 42, 5596, (2003).
  • Al Arfaj, M. A. AICHE. J, 52, 414, (2006).
  • Hu, M., & Shao, H., Ind. Eng. Chem. Res, 45, 8973, (2006).
  • Homma, S., Watanabe, M., Koga, J., & Matsumoto, S., J. Nucl. Sci. Technol, 48, 1285, (2011).
  • K.A. Hawbolt, Ph.D. thesis, The University of Calgary, Canada, (1998).
  • Manenti, G., Papasidero, D., Manenti, F., Bozzano, G., & Pierucci, S., Procedia. Eng., 42, 376, (2012).
  • Karan, K., Mehrotra, A. K., & Behie, L. A. Ind. Eng. Chem. Res, 37, 4609, (1998).
  • Monnery, W. D., Hawboldt, K. A., Pollock, A. E., & Svrcek, W. Y., Ind. Eng. Chem. Res, 40, 144, (2001).
  • Monnery, W. D., Hawboldt, K. A., Pollock, A., & Svrcek, W. Y. Chem. Eng. Sci, 55, 5141, (2000).
  • Hawboldt, K. A., Monnery, W. D., & Svrcek, W. Y., Chem. Eng. Sci, 55, 957, (2000).
Toplam 35 adet kaynakça vardır.

Ayrıntılar

Bölüm Derleme
Yazarlar

Mohammad Hosein Eghbal Ahmadi

Yayımlanma Tarihi 13 Mayıs 2015
Yayımlandığı Sayı Yıl 2015 Cilt: 36 Sayı: 3

Kaynak Göster

APA Eghbal Ahmadi, M. H. (2015). Data reconciliation and gross error detection: application in chemical processes. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, 36(3), 1905-1913.
AMA Eghbal Ahmadi MH. Data reconciliation and gross error detection: application in chemical processes. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. Mayıs 2015;36(3):1905-1913.
Chicago Eghbal Ahmadi, Mohammad Hosein. “Data Reconciliation and Gross Error Detection: Application in Chemical Processes”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36, sy. 3 (Mayıs 2015): 1905-13.
EndNote Eghbal Ahmadi MH (01 Mayıs 2015) Data reconciliation and gross error detection: application in chemical processes. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36 3 1905–1913.
IEEE M. H. Eghbal Ahmadi, “Data reconciliation and gross error detection: application in chemical processes”, Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, c. 36, sy. 3, ss. 1905–1913, 2015.
ISNAD Eghbal Ahmadi, Mohammad Hosein. “Data Reconciliation and Gross Error Detection: Application in Chemical Processes”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36/3 (Mayıs 2015), 1905-1913.
JAMA Eghbal Ahmadi MH. Data reconciliation and gross error detection: application in chemical processes. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. 2015;36:1905–1913.
MLA Eghbal Ahmadi, Mohammad Hosein. “Data Reconciliation and Gross Error Detection: Application in Chemical Processes”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, c. 36, sy. 3, 2015, ss. 1905-13.
Vancouver Eghbal Ahmadi MH. Data reconciliation and gross error detection: application in chemical processes. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. 2015;36(3):1905-13.