Current Research Trends and Challenges Related to the Use of Greywater in Buildings
Abstract
1. Introduction
2. Quantitative and Qualitative Characteristics of Greywater
2.1. Quantitative Characteristics of Greywater
2.2. Qualitative Characteristics of Greywater
3. Greywater Treatment Technologies
4. Legal Regulations—Rules and Guidelines
| Indicator | USA (California) 1 | USA 2 | Australia 3 | Canada 4 | UK 5 | China 6 | Japan 7 | Spain 8 |
|---|---|---|---|---|---|---|---|---|
| pH | 6.0–9.0 | 6.0–9.0 | 6.0–9.0 | 6.0–9.0 | 5.0–9.5 | 6.5–9.5 | 5.8–8.6 | |
| Turbidity [NTU] | <5 | ≤2 | - | ≤2 | <10 | <2 | ≤2 | ≤2 |
| TSS [mg/L] | ≤10 | ≤10 | ≤10 | ≤10 | - | ≤10 | ≤10 | ≤10 |
| BOD5 [mg/L] | ≤10 | ≤10 | ≤10 | ≤10 | - | ≤10 | ≤10 | ≤10 |
| Cl2 residual [mg/L] | - | ≥0.5 | - | ≥0.5 | <2.0 | 0.3–1.0 | trace amount | - |
| E. coli [CFU/100 mL] | ≤14 | ≤2.2–14 | ≤1 | ND | 250 | ≤3 | ND | ≤10 |
| Total coliforms [CFU/100 mL] | - | - | - | ND | 1000 | ≤100 | ≤3 | - |
| Enterococcus [CFU/100 mL] | - | - | - | - | 100 | - | - | - |
| Other | - | - | - | - | visually clear, not objectionable contamination | odour not unpleasant | odour not unpleasant, not objectionable contamination | odour not unpleasant, not objectionable contamination |
5. Social Aspects of Water Reuse in Buildings
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
| WW | total wastewater |
| BW | black water (wastewater from toilets) |
| GW | greywater |
| DGW | dark greywater |
| KS | kitchen sink |
| DW | dishwasher |
| WM | washing machine |
| LGW | light greywater |
| BT | bath |
| SH | shower |
| WB | washbasin |
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| Country (Reference) | Building Type | Greywater (GW) | Quantity by Source | Share in Domestic Wastewater | Domestic Wastewater (WW) |
|---|---|---|---|---|---|
| [L/p/d] | [L/p/d] | [%] | [L/p/d] | ||
| Brazil [19] | university building | 248.2 | SH: 63.6 WB: 39.2 WM: 145.3 | nd | nd |
| Netherlands [20] | households | 82 | SH: 38 BT: 9 WM: 25 WB: 4 KS: 6 | 70–75 | nd |
| China–Pekin [21] | urban household | 86 | nd | nd | nd |
| India [17] | urban household | 110 | LGW + WM: 80 KS: 30 | LGW: 48 | 165 |
| Greece [18] | domestic households | 82.6 | SH/BT: 33.9 WM: 21.3 WB: 8.6 KS: 12.2 DW: 6.6 | 58 | 142 |
| Jordan [22] | domestic households | 50 | nd | nd | nd |
| Vietnam [23] | domestic household | 80–110 | SH/BT: 30–60 KS: 15–20 WM: 15–30 | nd | nd |
| Nepal [24] | domestic household | 72 | nd | nd | nd |
| Israel [16] | domestic household | 100.4 | KS: 26.6 WM: 16.6 WB: 18 BT: 22.4 SH: 16.8 | 73 | 138.1 |
| Israel [25] | domestic household | 90–120 | nd | 60–70 | nd |
| Kuwait [26] | domestic households | 200 | WB: 79 SH: 43 KS: 76 WM: 2 | 84 | 238 |
| Ghana [15] | domestic household (in-house water supply) | 73.4 | nd | 74.2 | 82.51 |
| Ghana [15] | domestic household (outside sources of water) | 32.4 | nd | 88.6 | 36.64 |
| Sweden [27] | domestic household area | 66 | nd | nd | nd |
| Switzerland [28] | domestic household | 110 | SH/BT: 52 WM: 30 KS: 28 | nd | nd |
| Netherlands [11] | domestic household | 60–100 | nd | 80 | nd |
| UK [29] | university residential | 102.9 | BT/SH: 45.5 WB: 43.8 WM: 13.6 | nd | nd |
| UK [29] | domestic household | 84 | BT/SH: 33.6 WB: 24 WM: 26.4 | nd | nd |
| Country [Reference] | Source | pH | Turbidity | TSS | COD | BOD | TN | NH4+-N | TP |
|---|---|---|---|---|---|---|---|---|---|
| [-] | [NTU] | [mg/L] | [mgO2/L] | [mgO2/L] | [mgN/L] | [mg/L] | [mgP/L] | ||
| Germany [1] | SH | nd | nd | nd | 113–633 | 70–300 | nd | nd | nd |
| BT + SH | nd | nd | nd | 100–200 | 50–100 | nd | nd | nd | |
| Denmark [31] | BT+ SH+ WB | 6.4–8.1 | 60–240 | 40–200 | 113–633 | 76–200 | 5–17 | <0.1–15 | 0.11–2 |
| WM | 8.1–10 | nd | 120–280 | 725–1815 | 48–290 | 1–21 | <0.1–1.9 | 0.06–57 | |
| KS | 6.3–7.4 | nd | 235–720 | 26–1380 | 5–1460 | 0.31–74 | 0.2–23 | 0.06–74 | |
| England [39] | SH | nd | 84.8 | 89 | 420 | nd | nd | nd | nd |
| BT | nd | 59.8 | 58 | 367 | nd | nd | nd | nd | |
| mixed | nd | 164 | 100 | 451 | 146 | 10.4 | nd | 0.35 | |
| Germany, Denmark, Sweden, Spain, Japan China, USA, Canada, Australia, Oman, Israel [12] | SH/BT | 6.4–8.1 | 44–375 | 7–505 | 100–633 | 50–300 | 3.6–19.4 | nd | 0.11–>48.8 |
| WM | 7.1–10 | 50–444 | 68–465 | 231–2950 | 48–472 | 1.1–40.3 | nd | 0–>171 | |
| KS | 5.9–7.4 | 298 | 134–1300 | 26–2050 | 536–1460 | 11.4–74 | nd | 2.9–>74 | |
| mixed | 6.3–8.1 | 29–375 | 25–183 | 100–700 | 47–466 | 1.7–34.3 | nd | 0.11–22.8 | |
| Brazil [19] | SH | 7.0–8.2 | 100 | 155.8 | 272.8 | 123.1 | nd | 50.3 | 5.3 |
| WB | 48.7 | 18.5 | 208.1 | 101.1 | nd | 5.1 | 3.3 | ||
| WM | 33.5 | 32.7 | 274.1 | 77 | nd | 4.3 | 2.3 | ||
| Greece [18] | SH/BT | 7.22 | nd | 63 | 399 | nd | nd | 8.4 | 0.4 * |
| WB | 7.07 | nd | 61 | 335 | nd | nd | 2.6 | 0.7 * | |
| KS | 6.72 | nd | 299 | 775 | nd | nd | 4.0 | 0.4 * | |
| Ghana [15] | mixed | 7.0 | nd | 297–538 | 644–758 | 204–253 | nd | 14.2–14.8 | 2.3 |
| Poland [42] | SH + WB | 6.9–8.19 | 10–362 | 13–110 | 11.2–329 | nd | 10.1–10.6 | nd | <0.5–0.814 |
| Australia, China, India, Israel, France, Netherlands, Greece, Spain, Brazil, Egypt, Malaysia, South Africa [14] | BT/SH + WB | 6.0–7.7 | 68–81 | 57.5–88 | 324–445 | 130–349 | 5.3–23 | 0.022–0.24 | 3–18 |
| KS | 5.94–8.74 | 54.4–245 | 308–3589 | 384–2074.5 | 200–604.5 | 28.05 | 4.7–6.89 | 5.3–15.7 | |
| WM | 7.1–9.95 | 45–162 | 60–95 | 466–1353 | 290 | 33 | <0.28 | 1.3 | |
| mixed | 6.5–8.63 | 4–173 | 16–122.9 | 74–668 | 117 | 10.4 | 1.9–29.7 | 0.89–9.4 |
| Country [Reference] | Source | Total Coliforms | E. coli | Other Indicators |
|---|---|---|---|---|
| [CFU/100 mL] | [CFU/100 mL] | [CFU/100 mL] | ||
| Germany [1] | SH | 10−1–103 | 10−1–101 CFU/mL | Total counts: 107–108 |
| BT + SH | 102–103 | 10−1–101 CFU/mL | Total counts: 107–108 | |
| Denmark [31] | BT + SH + WB | 70–2.4 × 107 | 1–3.3 × 103 | Total counts: 107–3 × 108 Enterococcus: 1–7 × 104 |
| WM | 85–8.9 × 105 | 9–16 × 103 | Total counts: 107–3 × 108 Enterococcus: 1–1.3 × 106 | |
| KS | nd | 0.13–250 × 106 | Enterococcus: not detected | |
| England [39] | SH | 6800 | 2050 | nd |
| BT | 6350 | 40.1 | nd | |
| mixed | 7387 | 1740 | nd | |
| Germany, Denmark, Sweden, Spain, Japan China, USA, Canada, Australia, Oman, Israel [12] | SH/BT | 10–2.4 × 107 | 0–3.4 × 105 | nd |
| WM | 200.5–7 × 105 | 50–1.4 × 103 | nd | |
| KS | >2.4 × 108 | nd | nd | |
| mixed | 56–8.03 × 107 | 0.1–1.5 × 108 | nd | |
| Brazil [19] | SH | 4.0 × 105 | 5.06 × 104 | nd |
| WB | 7.6 × 106 | 2.08 × 104 | nd | |
| WM | 50 | 0 | nd | |
| Ghana [15] | mixed | 3.7–3.8 × 106 | 1.8–2.4 × 104 | Salmonella spp.: 3.1–2.4 × 103 |
| Poland [42] | SH + WB | 0.1–3.2 × 101 CFU/mL | nd | Total counts: 76–>3 × 105 Enterococcus: 20–3.2 × 103 |
| Australia, China, India, Israel, France, Netherlands, Greece, Spain, Brazil, Egypt, Malaysia, South Africa [14] | BT/SH + WB | 1.1 × 108 | 4.5 × 105–6.1 × 105 | nd |
| KS | nd | nd | nd | |
| WM | 4.8 × 105 | 3.6 × 105 | nd | |
| mixed | 2.2 × 105–1 × 106 | 1 × 105–6 × 105 | nd |
| Treatment Type | Scale | Building Type | Greywater Source | Removal Efficiency (%) | Final Effluent Quality | Country [References] | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TSS | TOC | COD | BOD5 | Turbidity | TN | TP | Total Coliforms | E. coli | Enterococcus | ||||||
| SBR | lab | single-family house | SH + WB + WM + DW | - | 91 | 92 | - | - | - | - | - | - | - | 7 mg/L TOC; 44 mg/L COD 4 NTU >100 CFU/100 mL E. coli 3 CFU/100 mL Enterokoki | Poland [45] |
| ultrafiltration | - | >95 | >95 | 99 | 84 | - | - | - | 100 | 100 | 0.47–2.19 mg/L TOC; 5.8–18.1 mg/L COD <2 mg/L BOD5 <1 NTU 0 CFU E. coli/100 mL 0 CFU Enterokoki/100 mL | ||||
| MBBR | pilot | university building | SH + WB + WM | 87 | - | 70 | 59 | 66 | - | - | - | 100 | - | 11.3 mg/L TSS 73.9 mg/L COD 13.7 NTU 18.2 mg/L BOD | Brazil [19] |
| SBR | lab | housing estate | SH + WB + KS | - | - | 90 | - | - | - | - | - | - | - | 82 mg/L COD | Netherlands [47] |
| sand + GAC filters | lab | university building | SH + WB + KS + WM | - | - | >96 | >95 | 97–100 | - | 49.1 | - | - | - | 0–2.7 NTU 1–2.3 mg/L BOD 2.3–5.7 mg/L COD 42–163 CFU/100 mL Faecal coliforms 3300–78,000 CFU/100 mL Total coliforms | Ethiopia [48] |
| RBC | on-site | hotel | SH + BT + WB + WM | - | - | - | - | - | - | - | - | >99 | - | Germany [1] | |
| MBBR + filtration + UV | on-site | university building | SH + BT + WB + WM | 94 | - | - | 95.6 | 95.9 | - | - | 100 | 100 | - | 2.0 mg/L TSS 3.0 mg/L BOD 2.0 NTU | UK [29] |
| SMBR | on-site | single house | SH + WB + WM | 92 | - | 87 | - | 97 | 40 | 69 | 100 | 100 | - | 8 mg/L TSS 59 mg/L COD 5.0 NTU 20 mg/L TN 69 mg/L TP | Greece [8] |
| filtration + sedimentation + NaOCl | on-site | hotel | BT + WB | 58 | 31 | 54 | - | 18 | 38 | - | - | 100 | - | 18.6 mg/L TSS 39.9 mg/L TOC 16.5 NTU 78 mg/L COD 7.1 mg/L TN | Mallorca (Spain) [3] |
| coagulation + filtration + GAC | lab | single houses | SH + WB + KS | 97 | - | 96 | - | - | - | - | - | - | - | 11 mg/L TSS 28 mg/L COD | Greece [18] |
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Niewitecka, K.; Żubrowska-Sudoł, M. Current Research Trends and Challenges Related to the Use of Greywater in Buildings. Water 2025, 17, 3431. https://doi.org/10.3390/w17233431
Niewitecka K, Żubrowska-Sudoł M. Current Research Trends and Challenges Related to the Use of Greywater in Buildings. Water. 2025; 17(23):3431. https://doi.org/10.3390/w17233431
Chicago/Turabian StyleNiewitecka, Kaja, and Monika Żubrowska-Sudoł. 2025. "Current Research Trends and Challenges Related to the Use of Greywater in Buildings" Water 17, no. 23: 3431. https://doi.org/10.3390/w17233431
APA StyleNiewitecka, K., & Żubrowska-Sudoł, M. (2025). Current Research Trends and Challenges Related to the Use of Greywater in Buildings. Water, 17(23), 3431. https://doi.org/10.3390/w17233431

