Specific Energy Consumption in Spiral Wound Reverse Osmosis Water Desalination Mingheng Li Department of Chemical and Materials Engineering California State Polytechnic University, Pomona [email protected] Nov. 16, 2014 Mingheng Li AIChE Annual Meeting Nov. 16, 2014 1 / 23 OUTLINE 1 Motivation 2 Introduction Definition of Normalized Specific Energy Consumption (NSEC) Mathematical model Differences between SWRO and BWRO 3 NSEC in RO Review of NSEC in thermodynamically reversible RO Theorems of NSEC in SWRO Analysis of NSEC in BWRO 4 Concluding Remarks Mingheng Li AIChE Annual Meeting Nov. 16, 2014 2 / 23 MOTIVATION OF THIS WORK Reverse osmosis is the most common method of water desalination. Energy consumption in reverse osmosis membrane module accounts for a major portion (up to 45%) of the total cost of water desalination (Manth et al., 2003; Busch and Mickols, 2004; Wilf and Bartels, 2005; Zhu et al., 2009). There is a huge gap between specific energy consumption in RO plants and its theoretical minimum. Mathematical models helps elucidate the understanding of energy issues in RO. Mingheng Li AIChE Annual Meeting Nov. 16, 2014 3 / 23 DEFINITION OF SEC AND NSEC IN RO Schematic of RO Feed Brine Valve Pump Permeate RO Module Membrane ✎ Specific Energy Consumption (SEC) SEC ✎ ✍ = ∆Ppump Q0 Qp ☞ ✌ Normalized Specific Energy Consumption (NSEC) NSEC Mingheng Li ✍ = NSEC ∆π0 = AIChE Annual Meeting ∆Ppump 1 ∆π0 Y ☞ ✌ Nov. 16, 2014 4 / 23 MATHEMATICAL MODEL FOR RO Spiral wound reverse osmosis module Mathematical ✬ model (Li, Desalination, 2012) ✩ dQ(x) Q0 − = A · Lp · ∆P − ∆π0 dx Q d(∆P(x)) = −k · Q 2 dx Q(x) = Q0 @x = 0 ∆P(x) = ∆P0 @x = 0 Mingheng Li ✫ AIChE Annual Meeting ✪ Nov. 16, 2014 5 / 23 DIMENSIONLESS RO MODEL Dimensionless ✎ parameters ☞ ALp ∆π0 kQ02 Q ∆P ∆π0 ,γ = ,κ = ,q = ,p = α= ∆P0 Q0 ∆π0 Q0 ∆P0 ✌ ✍ α: γ: κ: Osmotic hydraulic pressure ratio Membrane demand capacity ratio Retentate pressure drop ratio Dimensionless RO model ✬ ✩ dp(x) 2 = −καq (x) dx p(x) 1 dq(x) = −γ − dx α q(x) p(x) = 1, @x = 0 q(x) = 1, @x = 0 Mingheng Li ✫ AIChE Annual Meeting ✪ Nov. 16, 2014 6 / 23 DIFFERENCES BETWEEN SWRO AND BWRO Plant data and optimization (Li, IECR, 2013) 3 10 2 10 0.8 0.3 αopt 3 0.7 0.2 1 2 10 κ=0 κ = 0.05 κ = 0.1 κ=1 κ=5 0.1 1 0 0 κ=0 κ = 0.05 κ = 0.1 κ=1 κ=5 0.4 NSECopt κ1 4 0.9 0.5 κ=0 κ = 0.05 κ = 0.1 κ=1 κ=5 opt SWRO BWRO 5 Y 6 0 0.5 γ1 1 1.5 10 0 0.5 1 γ 1.5 2 0 0 0.5 1 γ 1.5 0.6 2 0.5 0 0.5 1 γ 1.5 2 Difference is due to ∆π0 (390 psi for seawater and 10-20 psi for brackish water) ☞ ✎ kQ02 ALp ∆π0 , κ = γ = Q0 ∆π0 ✌ ✍ SWRO is operated near thermodynamic limit BWRO is operated far away from thermodynamic limit Mingheng Li AIChE Annual Meeting Nov. 16, 2014 7 / 23 NSEC OF FULLY REVERSIBLE RO ☛ ✟ Schematic of an ideal, thermodynamically reversible RO ✡ ∆P ≡ ∆π0 1−Y ✠ Force Permeate Membrane NSEC of a fully reversible RO ✩ ✬ Z Yo ∆π0 · 1 · dY 1−Y 0 NSEC = (1 · Yo ) · ∆π0 5 ✫ = Mingheng Li NSEC 4 − ln(1 − Yo ) Yo 3 ✪ 2 (Spiegler, 1977) 1 0 AIChE Annual Meeting 0.2 0.4 0.6 Recovery 0.8 Nov. 16, 2014 1 8 / 23 NSEC OF MULTI-STAGE SWRO WITH ERD Schematic of a generic multi-stage RO with interstage booster pumps and ERD ERD NSEC (Li, Desalination, 2011) ✤ NSEC ✣ = N−1 X Yj 1 ηerd (1 − YN ) + − αj αN αN j=1 h i Q 1− N (1 − Y ) j j=1 Pressure drop is ignored αj , Yj are based on each stage Mingheng Li AIChE Annual Meeting ✜ ✢ Nov. 16, 2014 9 / 23 NSEC IN SWRO AT THERMODYNAMIC LIMIT Theorem 1 The minimum of NSEC for a single- or multi-stage RO with/without ERD at the thermodynamic limit is: NSEC = N (1 − Yo )−1/N − 1 + (1 − ηerd ) /Yo , where Yo is system level water recovery, N is number of stages (N ≥ 1) and ηerd is energy recovery efficiency of ERD (0 ≤ ηerd ≤ 1). ✛ Proof ✘ minNSEC αj Yo = 1 − Solution: ✓ ✚ αj + Yj = 1 QN j=1 (1 − Yj ) ✙ α1 = α2 = ... = αN = α = (1 − Yo )1/N NSEC = N (1 − Yo )−1/N − 1 + (1 − ηerd ) /Yo ✒ Mingheng Li AIChE Annual Meeting ✏ ✑ Nov. 16, 2014 10 / 23 NSEC IN SWRO AT THERMODYNAMIC LIMIT Theorem 2 For single- or multi-stage RO, the reduction in NSEC due to an ERD at the thermodynamic limit is ηerd /Yo . The reduction in NSEC increases as ηerd increases. The reduction in NSEC is more significant at low recoveries. ✬ Proof or, ✎ ✩ N (1 − Yo )−1/N − 1 + (1 − ηerd ) ∆erd = − Yo N (1 − Yo )−1/N − 1 + 1 Yo ηerd = − Yo ✫ ✪ ∆erd ✍ Mingheng Li ηerd [Q0 (1 − Yo )][∆π0 /(1 − Yo )] = − (Q0 Yo )∆π0 AIChE Annual Meeting ηerd = − Yo ☞ ✌ Nov. 16, 2014 11 / 23 NSEC IN SWRO AT THERMODYNAMIC LIMIT Theorem 3 − ln(1 − Yo ) + (1 − ηerd ) at the Yo = 100%, it is equivalent to a fully reversible For infinite number of stages, NSEC = thermodynamic limit. If ηerd RO process. Proof ✬ lim NSEC N→∞ = = = ✫ Mingheng Li = ✩ N (1 − Yo )−1/N − 1 + (1 − ηerd ) lim N→∞ Yo (1 − Yo )−x − 1 + (1 − ηerd )x 1 lim Yo x→0 x −x ln(1−Y o) 1 e − 1 + (1 − ηerd )x lim Yo x→0 x − ln(1 − Yo ) + (1 − ηerd ) Yo ✪ AIChE Annual Meeting Nov. 16, 2014 12 / 23 EFFECT OF ERD AND MULTI-STAGE IN SWRO 2 10 NSEC single stage, without ERD single stage, with 100% ERD infinite stages, without ERD infinite stages, with 100% ERD 1 10 0 10 0 Mingheng Li 0.2 0.4 0.6 Overall Recovery AIChE Annual Meeting 0.8 1 Nov. 16, 2014 13 / 23 NSEC IN SWRO AT THERMODYNAMIC LIMIT Theorem 4 With/without ERD, the NSEC at the thermodynamic limit reduces monotonically as the number of stages N increases. However, the reduction in NSEC due to N is less significant as N becomes larger. Multi-stage design works better at high recoveries. ✞ Proof (see Li, IECR, 2014 for details) ✝ ∆N = NSECN+1 − NSECN ✞ ✝ ∆N−1 < ∆N ✞ ✝ < 0 ∆′N (Yo ) < 0 ☎ ✆ < 0 ☎ ✆ ☎ ✆ For high-recovery design, it is motivated to employ multi-stage configuration. Mingheng Li AIChE Annual Meeting Nov. 16, 2014 14 / 23 NSEC IN SWRO AT THERMODYNAMIC LIMIT Theorem 5 Without ERD, as the number of stages increases from 1 to ∞, the corresponding optimal Yo monotonically increases from 0.5 to 0.6822, and the minimum of NSEC monotonically reduces from 4 to 3.1462. ✞ Proof (see Li, IECR, 2014 for details) ✞✝ ✝ (1 − N)(1 − Yo )(N+1)/N + (N + 1)(1 − Yo ) − 1 = 0 NSECN+1 (YoN+1 ) < NSECN+1 (YoN ) < NSECN (YoN ) N=1 ☎ ✆☎ N=∞ ✆ 2(1 − Yo ) = 1 Yo − 1 + ln(1 − Yo ) = 0 1 − Yo Yo = 0.5 Yo = 0.6822 NSEC = 4 NSEC = 3.1462 Mingheng Li AIChE Annual Meeting Nov. 16, 2014 15 / 23 NSEC IN SWRO AT THERMODYNAMIC LIMIT Theorem 6 At the thermodynamic limit, when Yo = 0.6822, the NSEC of a single-stage RO with 100% ERD is equivalent to the one of an infinite-stage RO without ERD. Below this recovery, a single-stage RO with 100% ERD has a lower NSEC. Above this recovery, an infinite-stage RO has a lower NSEC. ✎ ☞ Proof (see Li, IECR, 2014 for details) ∆ = NSECerd − NSEC∞ = ✍ Mingheng Li ✞ ✝ ✞ ✝ 1 − ln(1 − Yo ) 1 − 1 − Yo Yo ✌ ∆′ (Yo ) > 0 ☎ ✆ ∆(Yo = 0.6822) = 0 AIChE Annual Meeting ☎ ✆ Nov. 16, 2014 16 / 23 NSEC IN SWRO AT THERMODYNAMIC LIMIT Theorem 7 A RO using brine recirculation is equivalent to a RO with ERD in which feed osmotic pressure difference = ∆π0 /(1 − fYo ), RO recovery = Yo (1 − f )/(1 − fYo ), and ηerd = f , where f is brine recycle ratio. Using brine recirculation would not reduce NSEC. F E RO D C B G A Mingheng Li AIChE Annual Meeting Nov. 16, 2014 17 / 23 NSEC IN SWRO AT THERMODYNAMIC LIMIT Proof of Theorem 7 Location Fresh Feed no recirculation Q0 ∆π0 Recycled Brine 0 - RO Inlet Q0 ∆π0 RO Outlet (1 − Yo )Q0 Product Yo Q0 Rejected Brine (1 − Yo )Q0 ✎ NSEC br = with recirculation Q0 f Q0 1−f f 1 + (1 − Yo ) Q0 1−f 1 − Yo Q0 1−f Yo Q0 (1 − Yo ) ∆π0 1 − Yo 0 ∆π0 1 − Yo (1 − Yo )Q0 ∆π0 ∆π0 1 − Yo ∆π0 (1 − f ) + f (1 − Yo ) ∆π0 1 − Yo 0 ∆π0 1 − Yo ☞ N (1 − Yobr )−1/N − 1 + (1 − f ) ∆π0br Yobr ∆π0 ✍ N = 1, NSEC br = NSEC N ≥ 2, NSEC br > NSEC (see Li, IECR, 2014 for details) Mingheng Li ✌ AIChE Annual Meeting Nov. 16, 2014 18 / 23 NSEC IN BWRO FAR AWAY FROM THERMODYNAMIC LIMIT Small γ, high pressure drop and recovery (Li, IECR, 2013) ERD may not be so helpful as in SWRO 1 p and q 0.8 Brine energy for ERD: 0.6 Seawater: (0.5Q0 )(∆P0 ) = 0.50(Q0 ∆P0 ) 0.4 0.2 Brackish water: (0.2Q0 )(0.75∆P0 ) = 0.15(Q0 ∆P0 ) p, κ = 0 q, κ = 0 p, κ = 5.5 q, κ = 5.5 0 0 1 x 2 Brine recirculation will increase NSEC because of increased flow resistance. Mingheng Li AIChE Annual Meeting Nov. 16, 2014 19 / 23 NSEC IN BWRO FAR AWAY FROM THERMODYNAMIC LIMIT One-stage is more energy-efficient than two-stage design. However, two-stage design with 2:1 array are used in industry due to other reasons. For a two-stage design, an interstage booster pump does not reduce NSEC because of small γ. 3 1 0.8 10 one−stage two−stage two−stage with booster pump 0.9 0.8 0.5 opt 0.6 2 10 Y NSECopt p and q 0.7 0.7 0.4 0.3 0.2 0.1 0 p, 1−stage q, 1−stage p, 2−stage q, 2−stage one−stage two−stage two−stage with booster pump 1 10 1 Stage number Mingheng Li 2 0 0.02 0.04 γtotal 0.06 0.08 AIChE Annual Meeting 0.1 0.6 0 0.02 0.04 γ 0.06 0.08 0.1 total Nov. 16, 2014 20 / 23 CONCLUSIONS How to approach the theoretical value of NSEC? Very large γ = ALp ∆π0 /Q0 Very small κ = kQ02 /∆π0 Multiple stages (especially at high recoveries) ERD Efficient pump SWRO (near thermodynamic limit) Multiple stages and ERD are beneficial BWRO (far away from thermodynamic limit) One stage is the best in terms of NSEC Other factors (e.g., to achieve a more uniform flow) lead to two-stage designs Interstage pump is not necessary from a viewpoint of energy saving ERD in BWRO is not so beneficial as in SWRO Brine circulation does not help NSEC in SWRO or BWRO Mingheng Li AIChE Annual Meeting Nov. 16, 2014 21 / 23 RELATED PUBLICATIONS Li, M. “Energy Consumption in Spiral Wound Seawater Reverse Osmosis at the Thermodynamic Limit,” Ind. Eng. Chem. Res., 53, 3293-3299, 2014. Li, M. “A Unified Model-Based Analysis and Optimization of Specific Energy Consumption in BWRO and SWRO,” Ind. Eng. Chem. Res., 52, 17241-17248, 2013. Li, M.; Noh, B. “Validation of Model-Based Optimization of Reverse Osmosis (RO) Plant Operation,” Desalination, 304, 20-24, 2012. Li, M. “Optimization of Multitrain Brackish Water Reverse Osmosis (BWRO) Desalination,” Ind. Eng. Chem. Res., 51, 3732-3739, 2012. Li, M. “Optimal Plant Operation of Brackish Water Reverse Osmosis Water Desalination,” Desalination, 293, 61-68, 2012. Li, M. “Reducing Specific Energy Consumption in Reverse Osmosis Water Desalination: An Analysis from First Principles,”Desalination, 276, 128-135, 2011. Li, M. “Minimization of Energy in Reverse Osmosis Water Desalination using Constrained Nonlinear Optimization,” Ind. Eng. Chem. Res., 49, 1822-1831, 2010. Mingheng Li AIChE Annual Meeting Nov. 16, 2014 22 / 23 The End Mingheng Li AIChE Annual Meeting Nov. 16, 2014 23 / 23
© Copyright 2025 Paperzz