TY - JOUR
T1 - Simultaneous water and energy optimization for a pulp and paper mill
AU - Chew, Irene Mei Leng
AU - Foo, Dominic Chwan Yee
AU - Lam, Hon Loong
AU - Bonhivers, Jean Christophe
AU - Stuart, Paul
AU - Savulescu, Luciana Elena
AU - Alva-Argaez, Alberto
N1 - Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - In this paper, simultaneous water and energy reduction in a brown stock washing system (BSWS) for an existing pulp and paper mill is analyzed. In the BSWS, seven counter-current washers are used for pulp cleaning, where the dissolved solid (DS) contents in the pulp liquor is reduced prior sending to the bleach plant. Meanwhile, hot steam is consumed in black liquor heating and treatment, as well as delignification process in the oxygen (02) reactor. The mass and energy balances of the water network for the BSWS is first simulated with Cadsim, and adopted as the base case of the study. Next, a non-linear programming (NLP) optimization model is proposed to minimize the water and energy consumptions through wash water reuse/recycle. The NLP model is solved using LINGO optimization software. The proposed optimization approach reduces both energy and water consumption requirements in the BSWS significantly. A new water network configuration which achieved the abovementioned utility savings is proposed in this paper.
AB - In this paper, simultaneous water and energy reduction in a brown stock washing system (BSWS) for an existing pulp and paper mill is analyzed. In the BSWS, seven counter-current washers are used for pulp cleaning, where the dissolved solid (DS) contents in the pulp liquor is reduced prior sending to the bleach plant. Meanwhile, hot steam is consumed in black liquor heating and treatment, as well as delignification process in the oxygen (02) reactor. The mass and energy balances of the water network for the BSWS is first simulated with Cadsim, and adopted as the base case of the study. Next, a non-linear programming (NLP) optimization model is proposed to minimize the water and energy consumptions through wash water reuse/recycle. The NLP model is solved using LINGO optimization software. The proposed optimization approach reduces both energy and water consumption requirements in the BSWS significantly. A new water network configuration which achieved the abovementioned utility savings is proposed in this paper.
UR - http://www.scopus.com/inward/record.url?scp=79956261318&partnerID=8YFLogxK
U2 - 10.3303/CET1125074
DO - 10.3303/CET1125074
M3 - Article
AN - SCOPUS:79956261318
SN - 2283-9216
VL - 25
SP - 441
EP - 446
JO - Chemical Engineering Transactions
JF - Chemical Engineering Transactions
ER -