| Literature DB >> 36008462 |
Rutjaya Prateep Na Talang1, Sanya Sirivithayapakorn1, Sucheela Polruang2.
Abstract
This research investigates the cost-effectiveness of four sludge treatment scenarios for centralized (C) and decentralized (D) wastewater treatment plants (WWTP) using life cycle cost assessment (LCCA). The environmental impacts and costs are quantified by Stepwise2006. The most environmentally and financially viable WWTP construction option for Bangkok, Thailand (2022-2031) is determined in terms of LCCA and net present value (NPV). The environmental costs of D-treatment scenarios are lower than those of C-treatment scenarios. The total environmental costs of C- and D-fertilizer scenarios are lower than those of C- and D-dewatering scenarios. The net cash flow per functional unit of C-WWTPs is higher than that of D-WWTPs. The C-fertilizer scenario is the most environmentally and economically viable treatment scenario due to the lowest LCCA deficit (-5.58 THB2020 per m3 treated effluent). Composting should thus be adopted for treating sludge. The most environmentally and financially viable WWTP construction option is option I (building four C-WWTPs within 10 years) due to the lowest LCCA deficit (-19925 million THB2020) and smallest financial loss (NPV = -6309.96 million THB2020). Essentially, the local administration of the capital should adopt option I as a guideline in formulating the wastewater treatment management policy of 2022-2031.Entities:
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Year: 2022 PMID: 36008462 PMCID: PMC9411131 DOI: 10.1038/s41598-022-18852-y
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Existing literature on LCA and LCC of centralized and decentralized WWTPs.
| Source | Location | Data collection period | Type of WWTP | Wastewater treatment process | Assessment | Results | |||
|---|---|---|---|---|---|---|---|---|---|
| CWWTP | DWWTP | LCA | LCC | LCCA | |||||
| This study | Bangkok, Thailand | 2016–2017 | ✔ | ✔ | AS | ✔ | ✔ | ✔ | The C-fertilizer scenario has the highest LCCA and is the most environmentally and economically viable treatment scenario because of the highest net cash flow |
| Hospido et al. [ | Galicia, Spain | 2000–2001 | ✔ | AS | ✔ | – | – | The main contributors to the environmental impacts were water discharge and sludge application to land. The AS achieved high nitrogen removal efficiency | |
| Rodriguez-Garcia et al.[ | Spain | 2008 | ✔ | AS, Extended aeration and Oxidation ditch | ✔ | ✔ | – | WWTPs with organic removal technology were less costly in environmental and economic terms. However, improvement in effluent worsened global warming impact and increased overall expense | |
| Ontiveros and Campanella [ | Argentina | N.A. (simulation data) | ✔ | Conventional and biological nutrient removal processes | ✔ | – | – | The nutrient removal system significantly improved the quality of effluent and biosolids while reducing overall energy consumption | |
| Li et al.[ | Kunshan, China | 2010 | ✔ | Anaerobic-Anoxic–Oxic | ✔ | – | – | Eutrophication, global warming, and waterborne suspended particles were major contributing factors to the environmental impacts of Kunshan WWTP | |
| Yoshida et al.[ | Copenhagen, Denmark | 2011 | ✔ | Biological nitrogen removal | ✔ | – | – | Data collection should be standardized and expanded to include energy and chemical usage data, the elimination of a reporting threshold, the expansion of substance coverage, and the inclusion of non-point fugitive gas emissions | |
| Lorenzo-Toja et al.[ | Spain | 2011 | ✔ | ✔ | N.A | ✔ | – | – | The research examined 113 WWTPs with organic matter and nutrient removal technology in Spain using LCA. The results showed that large WWTPs were highly efficient |
| Lorenzo-Toja et al.[ | Spain | 2011 | ✔ | ✔ | N.A | ✔ | ✔ | – | The research studied 22 WWTPs in Spain using LCA and LCC; and reported that the operation and maintenance costs of WWTPs with phosphorus and/or nitrogen removal were greater than those without nutrient removal |
| Limphitakphong et al.[ | Bangkok, Thailand | 2008 | ✔ | Contact stabilization, AS with nutrient removal, Cyclic AS, Two-stage AS, and Vertical loop reactor AS | ✔ | ✔ | – | Vertical loop reactor AS achieved the highest pollutant removal efficiency. Electricity consumption was the main contributor of global warming potential and operation cost, while eutrophication as nutrient discharge was the major contributor of total impacts | |
| Bertanza et al.[ | Brescia-Verziano, Italy | N.A | ✔ | Conventional AS and Membrane bioreactor | ✔ | ✔ | – | The advantages of conventional AS are ease of operation, minimal cost, and low energy consumption, while membrane bioreactor technology is commonly used with similar overall environmental footprint to AS | |
| Garfí et al.[ | Catalonia and Barcelona, Spain | N.A | ✔ | AS, Hybrid constructed wetland and High rate algal pond | ✔ | ✔ | – | The AS process was costliest (in financial terms) among three treatment schemes under study. Meanwhile, wetland system required vast plots of land | |
| Polruang et al.[ | Bangkok, Thailand | 2014 | ✔ | Contact stabilization, AS with nutrient removal, AS, Two-stage AS, and Vertical loop reactor AS | ✔ | – | – | Electricity consumption was the main contributor to almost all environmental impacts. The reduction in fossil fuels use for electricity production reduced global warming, abiotic depletion, and acidification impacts | |
| Arashiro et al.[ | Barcelona, Spain | N.A | ✔ | AS and High rate algal pond | ✔ | ✔ | – | High rate algal pond system with biogas and biofertilizer production was more environmentally friendly than AS system. The high rate algal pond system was the sustainable and cost-effective technology for wastewater treatment in small communities | |
| Singh et al.[ | India | 2014–2015 | ✔ | Moving bed biofilm reactor | ✔ | ✔ | – | Moving bed biofilm reactor achieved high organic removal efficiency but low nutrient removal efficiency | |
| Awad et al.[ | Gamasa, Egypt | 2010 | ✔ | Conventional AS | ✔ | ✔ | – | The operation phase generated greater environmental impacts than the construction phase. Air emissions and energy consumption were the main contributors of environmental impacts | |
| Tabesh et al.[ | Tehran, Iran | ✔ | Aeration lagoons | ✔ | – | – | Use of biogas contributed significantly to the environmental impacts. Use of treated wastewater as irrigating water on farmland mitigated the eutrophication effect | ||
Remark: N.A. denotes no available data.
Note: The capacity of centralized WWTPs is more than 2500 m3 per day.
Figure 1The overall research framework and methodology of (A.) four sludge treatment scenarios and (B.) four WWTP construction options.
Figure 2Average inventory data of centralized and decentralized sludge treatment scenarios: C-dewatering, C-fertilizer, D-dewatering and D-fertilizer.
Environmental impacts and process contribution analysis of the centralized and decentralized sludge treatment scenarios.
| Impact category | Unit | Centralized WWTPs | Decentralized WWTPs | ||||
|---|---|---|---|---|---|---|---|
| C-dewatering | C-fertilizer | Process contributor | D-dewatering | D-fertilizer | Process contributor | ||
| Human toxicity, carcinogens | kg C2H3Cl-eq | 0.0264 | 0.0260 | Electricity use | 0.0095 | 0.0091 | Electricity use |
| Human toxicity, non- carcinogens | kg C2H3Cl-eq | 0.0183 | 0.0053 | Heavy metal in sludge | 0.0063 | 0.0057 | Heavy metal in sludge |
| Aquatic ecotoxicity | kg TEG-eq w | 100.4296 | 90.8305 | Heavy metal in sludge | 87.1171 | 83.6021 | Heavy metal in sludge |
| Terrestrial ecotoxicity | kg TEG-eq s | 0.2130 | 0.1517 | Electricity use | 0.0791 | 0.0251 | Electricity use |
| Global warming, fossil | kg CO2-eq | 0.5340 | 0.4912 | Electricity use | 0.2496 | 0.2118 | Electricity use |
| Respiratory organics | pers*ppm*h | 1.40 × 10–4 | 1.27 × 10–4 | Electricity use | 7.60 × 10–5 | 6.48 × 10–5 | Electricity use |
| Respiratory inorganics | kg PM2.5-eq | 2.97 × 10–4 | 2.51 × 10–4 | Electricity use | 1.09 × 10–4 | 6.84 × 10–5 | Electricity use |
| Photochemical ozone, vegetat | m2-years agr | 1.6697 | 1.5072 | Electricity use | 1.5892 | 0.8152 | Electricity use |
| Acidification | m2 UES | 0.0230 | 0.0193 | Electricity use | 0.0211 | 0.0083 | Electricity use |
| Aquatic eutrophication | kg NO3-eq | 0.0398 | 0.0395 | Effluent quality | 0.0397 | 0.0723 | Effluent quality |
| Terrestrial eutrophication | m2 UES | 0.0254 | 0.0194 | Electricity use | 0.0224 | 0.0092 | Electricity use |
| Nature occupation | m2-years agr | 0.0028 | 0.0013 | Electricity use | 0.0020 | 0.0010 | Electricity use |
| Non-renewable energy | MJ extra | 7.6694 | 7.3235 | Electricity use | 7.4928 | 2.7355 | Electricity use |
| Mineral extraction | m2-years agr | 3.92 × 10–5 | 3.10 × 10–6 | Electricity use | 2.07 × 10–5 | − 1.12 × 10–5 | Tap water |
Figure 3Total environmental costs and three damage categories of four sludge management scenarios.
Figure 4Cash inflow and cash outflow of four sludge treatment scenarios in Thai baht2020.
Figure 5LCCA of four sludge treatment scenarios in Thai baht2020.
Figure 6LCCA of the four WWTP construction options in million Thai baht2020.