Municipal Wastewater Reuse: Is it a Competitive Alternative to Seawater Desalination?
Abstract
:1. Introduction
2. Materials and Methods
2.1. Proposed Scenarios
- (a)
- Scenario 1. This scenario is based on a city whose wastewater is treated by a WWTP with both primary and secondary treatments. In this case, a post-treatment of the WWTP effluent would be implemented by means of a hybrid ultrafiltration (UF) and reverse osmosis (RO) system. First, the secondary treated effluent is passed through the UF membrane to remove particles and colloids and then through RO membrane to remove the remaining pollutants. It was considered that UF and RO membranes are periodically cleaned using reagents to maintain a suitable pressure drop. The recovery ratio was set to 70% in relation to the inlet wastewater volume [31].
- (b)
- Scenario 2. This scenario is based on a coastal city whose wastewater is treated by a primary treatment and its effluent is sent to sea by means of a submarine outfall. For this reason, in this proposed scenario, the construction of an activated sludge unit followed by a hybrid UF-RO system was considered.
- (c)
- Scenario 3. This scenario involves the complete implementation of a seawater desalination plant based on the reverse osmosis process. The recovery ratio of the reverse osmosis system was set to 50% in relation to the initial volume of the feedwater (seawater) [14].
2.2. Methodology for Economic Assessment
- The required water flow rate was calculated. The annual flow of the water demand (m3/year) of the studied city was estimated based on its population and water consumption (m3/cap/year).
- The total water production costs (USD/m3) for the proposed scenarios were estimated. First, total production costs were calculated based on the total capital costs (CAPEX) and the operating and maintenance costs (OPEX) (Equation (1)).
- (a)
- Scenario 1. The total capital costs included the cost related to the purchase of equipment (UF and RO units), the required equipment for piping, instrumentation/electricity, engineering costs and civil works (Table 2). The operating and maintenance costs included energy consumption, reagents consumption, membrane replacement, and maintenance and labor costs (Table 2). The capital costs and operating and maintenance costs related to the UF-RO system were calculated using cost functions that were developed based on the data reported by Plumlee et al. (2014) [32].
- (b)
- Scenario 2. The total capital costs included costs related to the construction or purchase of the equipment (activated sludge system, UF and RO units) and the required equipment for piping, instrumentation/electricity, engineering costs, and civil works (Table 2). The costs associated with the operation of the activated sludge system were energy and reagents consumption, labor, waste management and maintenance. The total capital costs and operating and maintenance costs for the UF-RO system included the items described for scenario 1 (Table 2). The total capital costs and operating and maintenance costs of the activated sludge were calculated based on the data reported by Guo et al. (2014) [33] and Molinos-Senante et al. (2010) [34], respectively.
- (c)
- Scenario 3. The total capital costs for the desalination plant included 5 cost items, which were construction and infrastructure costs (main equipment, piping, instrumentation/electricity, among others), land acquisition costs, engineering costs, and development and management costs (Table 2). The operating and maintenance costs included energy consumption, membrane replacement, maintenance, reagents consumption and labor costs (Table 2). Based on the salinity concentration and average temperature of the coast of Chile, around 35,000 ppm and 17 °C, respectively [35], it was assumed that the energy consumption of seawater desalination was 3.5 kWh/m3. The capital costs and operating and maintenance costs were estimated using cost functions that were developed based on the results reported by Molinos-Senante and González (2019) [35]. The cost functions and the economic parameters for the proposed scenarios are given in Table 2. The price of electricity was set at 0.109 USD/kWh [36]. All costs used in this work were normalized to the USD of 2019.
- 3.
- The best scenario to produce water was determined. A pairwise comparison in terms of the total production costs for the proposed scenarios was developed in order to determine the most profitable scenario. The total production costs for the proposed scenarios were compared and used to estimate the maximum distance that produced water can be transported from the water plant production to the water demand city if the cheaper scenario were selected. This distance (ΔDmax) was expressed as a function of the total production costs (USD/m3), the transportation costs for horizontal distance (a, 0.05 USD/m3/km/year) and the lifetime of the facility (t, 20 years) (Equation (3)). The transportation costs, a, was determined as a function of the piping and pumping costs for the horizontal distance, using the data reported by Caldera et al. (2018) [11] and ESCWA (2009) [37]. It should be noted that scenarios 1 and 2 have not been compared among them because it is only possible to implement one of these scenarios for a particular city, and their selection depends on the actual wastewater treatment system.
- 4.
- The selection of possible water sources for the studied city was carried out. Once the suitable scenario was determined, the selection of the potential water sources was developed based on the flow rate of water that would be supplied and the distance between the water source and water demand site. It should be noted that water transportation distance is comprised of the horizontal and vertical distances, respectively, and they have a different impact on the water production cost. Vertical distance has a larger impact on water transportation costs than horizontal distance [19], and thereby an equivalent distance from the water source to water demand site for wastewater reuse scenarios (deq_ww) and seawater desalination (deq_coast) was determined (Equation (4)):
- 5.
- Finally, the best option to supply water to the water-demanding city was selected based on the maximum distance that produced water can be transported from the water plant production to the water-demanding city (ΔDmax), and the equivalent distance that water should be transported was obtained for the potential water sources. Therefore, if ΔDmax > (deq_ww − deq_coast), the reuse of wastewater is more favorable than seawater desalination. In contrast, if ΔDmax < (deq_ww − deq_coast), the desalination of seawater is more economical than wastewater reuse.
2.3. Case Study
3. Results and Discussion
3.1. Cost Associated with Water Production
3.2. Economic Analysis
3.3. Water Production from Non-Conventional Water Resources: Case Studies from Chile
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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City, Country | Distance (km) | Elevation (m) | Cost (USD/m3) |
---|---|---|---|
México city, México | 225 | 2500 | 2.44 |
Sana, Yemen | 135 | 2500 | 2.38 |
Beijing, China | 135 | 100 | 1.13 |
Crateus, Brazil | 240 | 350 | 1.33 |
Phoenix, USA | 280 | 320 | 1.34 |
Delhi, India | 1050 | 500 | 1.90 |
Zaragoza, Spain | 163 | 500 | 1.36 |
Item | Cost Function | Reference |
---|---|---|
Capital costs | ||
1. Municipal wastewater | ||
Reverse osmosis system | y = 272.54·x + 4.9835·106 | [32] |
Ultrafiltration system | y = 136.38·x +2.4859·106 | |
Yard piping | y = 40.97·x + 7.3826·105 | |
Sitework land scaping | y = 20.38·x + 3.7647·105 | |
Site electrical and controls | y = 81.86·x + 1.4916·106 | |
Activated sludge system | log(y) = 0.256·(log(x))1.556 + 4.545 | [33] |
2. Seawater | ||
Construction and infrastructure | y = 8.996·105·x + 6.20·106 | [35] |
Land acquisition | y = 17.995·x + 1.2363·105 | |
Engineering | y = 31.53·x + 2.1608·105 | |
Development and management | y = 4.5263·x + 3.0165·104 | |
Operating and maintenance costs | ||
1. Municipal wastewater | ||
Labor | 0.02 USD/m3 | [32] |
Reagents UF | y = 3.1224·10−2 + x·2.2448·10−5 | |
Membrane replacement UF | y = 4.6073·10−3 + x·8.9988·10−6 | |
Energy consumption UF | y = −5.4386·10−3 + x·4.0363·10−6 | |
Reagents RO | y = 2.2126·10−2 + x·2.2727·10−5 | |
Membrane replacement RO | y = 1.1905·10−2 + x·8.8019·10−6 | |
Energy consumption RO | y = −3.0484·10−2 + x·4.0087·10−5 | |
Activated sludge system | ||
Energy consumption | 0.033 USD/m3 | [34] |
Reagents | 0.025 USD/m3 | |
Labor | 0.060 USD/m3 | |
Maintenance | 0.038 USD/m3 | |
Waste management | 0.029 USD/m3 | |
2. Seawater | ||
Energy consumption | y = 1.461·10−3·x + 4.946·106 | [35] |
Membrane replacement | y = 8·10−2·x−1.57·10−1 | |
Reagents | y = 4·10−2·x−7.85·10−2 | |
Labor | y = 1.496·10−2·x + 1.44·105 | |
Maintenance | y = 8.086·10−5·x + 7.883·103 |
Water Production Capacity (m3/d) | Scenario 1 | Scenario 2 | Scenario 3 | ||||||
---|---|---|---|---|---|---|---|---|---|
Capital Costs | O&M Costs | Total Costs | Capital Costs | O&M Costs | Total Costs | Capital Costs | O&M Costs | Total Costs | |
100,000 | 0.071 | 0.264 | 0.334 | 0.135 | 0.450 | 0.585 | 0.135 | 0.452 | 0.587 |
90,000 | 0.072 | 0.264 | 0.335 | 0.136 | 0.450 | 0.586 | 0.136 | 0.452 | 0.587 |
80,000 | 0.073 | 0.264 | 0.337 | 0.138 | 0.450 | 0.588 | 0.136 | 0.452 | 0.588 |
70,000 | 0.074 | 0.264 | 0.338 | 0.139 | 0.450 | 0.589 | 0.137 | 0.452 | 0.589 |
60,000 | 0.076 | 0.264 | 0.340 | 0.141 | 0.450 | 0.592 | 0.138 | 0.452 | 0.590 |
50,000 | 0.079 | 0.264 | 0.343 | 0.145 | 0.450 | 0.595 | 0.140 | 0.452 | 0.591 |
45,000 | 0.080 | 0.264 | 0.345 | 0.147 | 0.450 | 0.597 | 0.141 | 0.452 | 0.592 |
40,000 | 0.083 | 0.265 | 0.347 | 0.149 | 0.451 | 0.600 | 0.142 | 0.452 | 0.594 |
35,000 | 0.086 | 0.265 | 0.350 | 0.153 | 0.451 | 0.603 | 0.143 | 0.452 | 0.595 |
30,000 | 0.089 | 0.265 | 0.354 | 0.157 | 0.451 | 0.608 | 0.146 | 0.452 | 0.598 |
25,000 | 0.095 | 0.265 | 0.360 | 0.163 | 0.451 | 0.615 | 0.149 | 0.452 | 0.601 |
20,000 | 0.103 | 0.266 | 0.369 | 0.173 | 0.452 | 0.624 | 0.153 | 0.452 | 0.605 |
15,000 | 0.116 | 0.267 | 0.383 | 0.188 | 0.453 | 0.641 | 0.161 | 0.453 | 0.613 |
10,000 | 0.143 | 0.269 | 0.411 | 0.218 | 0.455 | 0.672 | 0.176 | 0.453 | 0.629 |
7500 | 0.169 | 0.270 | 0.440 | 0.247 | 0.456 | 0.704 | 0.191 | 0.454 | 0.644 |
5000 | 0.223 | 0.274 | 0.497 | 0.305 | 0.460 | 0.765 | 0.221 | 0.455 | 0.676 |
4000 | 0.263 | 0.277 | 0.540 | 0.348 | 0.463 | 0.811 | 0.243 | 0.456 | 0.699 |
3000 | 0.330 | 0.281 | 0.611 | 0.420 | 0.467 | 0.887 | 0.281 | 0.457 | 0.738 |
2000 | 0.463 | 0.290 | 0.753 | 0.561 | 0.476 | 1.037 | 0.356 | 0.460 | 0.816 |
1500 | 0.597 | 0.299 | 0.896 | 0.673 | 0.485 | 1.158 | 0.431 | 0.463 | 0.894 |
1000 | 0.864 | 0.346 | 1.209 | 0.978 | 0.532 | 1.509 | 0.581 | 0.469 | 1.050 |
500 | 1.664 | 0.457 | 2.121 | 1.801 | 0.643 | 2.444 | 1.030 | 0.487 | 1.518 |
City | Water Demand (m3/d) | WWTP | Potential Water Supplier City | Produced Water (m3/d) | deq_ww (km) | deq_coast (km) | ΔDmax (km) |
---|---|---|---|---|---|---|---|
Alto Hospicio | 23,824 | conventional | Iquique | 28,719 | 22.4 | 3.4 | 86.1 |
Pozo Almonte | 1533 | 61.4 | |||||
Mejillones | 2915 | submarine outfalls | Antofagasta | 53,788 | 65.6 | 0.7 | −46.3 |
Tocopilla | 3683 | 132.0 | |||||
Freirina | 1033 | conventional | Huasco | 1352 | 20.2 | 20.6 | −54.0 |
Vallenar | 6990 | 43.8 | |||||
Huasco | 2003 | submarine outfalls | Vallenar | 6990 | 62.8 | 0.8 | −65.9 |
Freirina | 697 | 20.2 | |||||
Andacollo | 2252 | conventional | La Serena | 30,403 | 78.1 | 69.0 | 32.4 |
Ovalle | 13,297 | 68.2 | |||||
Tongoy | 835 | 92.0 | |||||
Limache | 8813 | conventional | Villa Alemana | 19,037 | 23.6 | 30.3 | 86.9 |
Quillota | 11,898 | 21.2 | |||||
Olmué | 1865 | 10.9 | |||||
Quillota | 17,624 | conventional | Viña del Mar | 50,772 | 49.8 | 25.1 | 89.0 |
La Calera | 7393 | 19.5 | |||||
Concón | 5986 | 33.1 | |||||
Quilpué | 33,659 | submarine outfalls | Viña del Mar | 50,772 | 34.6 | 11.9 | −2.7 |
Villa Alemana | 21,937 | 6.0 | |||||
Limache | 5950 | 28.4 |
City | Water Resource | Water Price (USD/m3) |
---|---|---|
Alto Hospicio | Wastewater reuse (from Iquique) | 0.63 |
Mejillones | Seawater desalination | 2.23 |
Freirina | Seawater desalination | 2.62 |
Huasco | Seawater desalination | 2.66 |
Andacollo | Wastewater reuse (from Ovalle) | 1.31 |
Limache | Wastewater reuse (from Quillota) | 0.69 |
Quillota | Wastewater reuse (from Viña del Mar) | 0.66 |
Quilpué | Seawater desalination | 1.37 |
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Crutchik, D.; Campos, J.L. Municipal Wastewater Reuse: Is it a Competitive Alternative to Seawater Desalination? Sustainability 2021, 13, 6815. https://doi.org/10.3390/su13126815
Crutchik D, Campos JL. Municipal Wastewater Reuse: Is it a Competitive Alternative to Seawater Desalination? Sustainability. 2021; 13(12):6815. https://doi.org/10.3390/su13126815
Chicago/Turabian StyleCrutchik, Dafne, and José Luis Campos. 2021. "Municipal Wastewater Reuse: Is it a Competitive Alternative to Seawater Desalination?" Sustainability 13, no. 12: 6815. https://doi.org/10.3390/su13126815
APA StyleCrutchik, D., & Campos, J. L. (2021). Municipal Wastewater Reuse: Is it a Competitive Alternative to Seawater Desalination? Sustainability, 13(12), 6815. https://doi.org/10.3390/su13126815