ETP Plant:
FACTORY HAVE A ON-SIDE EFFLUENT TREATMENT PLANT.
Libas Textile commitment to the environment can be gauged from the fact that we seek to meet all the legal norms, taking for instance the establishment of ETP & WTP because for us, nothing is more important then the maintenance of pollution-free environment.
TECHNOLOGY: KURARAY PVA GEL (PATENTED) TECHNOLOGY (JAPAN).
DESIGN BASIS BASIC INFORMATION FOR LIBAS TEXTILES LTD.
EFFLUENT: Waste-water consists of Dyes & Additives, Soaps & general washing chemicals etc. generated from Knit Dying & Printing Process.
EFFLUENT GENERATION:
Feed Flow = 3600 m3/day
Max. Feed Flow = 150 m3/hr
TREATMENT CAPACITY:
Plant design = 3600 m3/day.
PVA GEL SPECIFICATION: It’s a spherical bead,4-5mm in diameter, made from Polyvinyl Alcohol having a porosity of 20µ , density 1±0.25 and having a active surface area of 3000 m² per cubic meter of media. The media offers a large surface area available for the biomass to grow inside and in turn increase the loading rate, which allows the treatment of more effluent per cubic meter of tank volume than conventional technologies and can increase the treatment capacity up to thrice of it existing capacity of ASP ETP. Treatment ability using PVA gel can be enhanced more than 3 times over that of conventional activated sludge.
INLET EFFLUENT WATER CHARACTERISTICS (CONSIDERED FOR KNIT DYEING:
| Characteristics | ||
| Flow (Average) | m3/hr | 150 |
| pH | 10-12 | |
| TSS | Ppm | 450 |
| BOD | Ppm | 450 |
| COD | Ppm | 1000 |
| Temperature | Oc | <60 |
OUTLET WATER CHARACTERISTICS:
| Characteristics | ||
| Flow | m3/hr | 150 |
| pH | <7.5-8.5 > | |
| TSS | ppm | < 30 |
| BOD | ppm | < 30 |
| COD | ppm | < 200 |
| Temperature | oC | <35 |
DoE Test report :
Water Consumption-2017 (In-let)
| Month | Frist day reading | Last day reading | Consumption (M3) | Consumption (Liter) |
| January | 130 | 72094 | 71964 | 71964000 |
| Fabruary | 72094 | 141033 | 68939 | 68939000 |
| March | 141033 | 213363 | 72330 | 72330000 |
| April | 213363 | 286646 | 73283 | 73283000 |
| May | 286646 | 356978 | 70332 | 70332000 |
| June | 356978 | 428986 | 72008 | 72008000 |
| July | 428986 | 501207 | 72221 | 72221000 |
| August | 501207 | 575987 | 74780 | 74780000 |
| September | 71670 | 71670000 | ||
| October | 476072 | 551605 | 75533 | 75533000 |
| November | 554605 | 623638 | 69033 | 69033000 |
| December | 623638 | 689511 | 65873 | 65873000 |
| Total= | Total= | 857966 | 857966000 | |
Water Consumption-2017 (Out-let)
| Month | Frist day reading | Last day reading | Consumption (M3) | Consumption (Liter) |
| January | 1045 | 71995 | 70950 | 70950000 |
| Fabruary | 71995 | 138215 | 66220 | 66220000 |
| March | 138215 | 209165 | 70950 | 70950000 |
| April | 209165 | 280715 | 71550 | 71550000 |
| May | 280715 | 349590 | 68875 | 68875000 |
| June | 349590 | 420840 | 71250 | 71250000 |
| July | 420840 | 492840 | 72000 | 72000000 |
| August | 492840 | 567240 | 74400 | 74400000 |
| September | 567240 | 638850 | 71610 | 71610000 |
| October | 47619 | 123105 | 75486 | 75486000 |
| November | 123105 | 192297 | 69192 | 69192000 |
| December | 192297 | 258634 | 66337 | 66337000 |
| Total= | Total= | 848820 | 848820000 | |
Diesel consumption-2017
| Month | Consumption (Liter) |
| January | 3630 |
| Fabruary | 210 |
| March | 4765 |
| April | 6754 |
| May | 7545 |
| June | 1300 |
| July | 1580 |
| August | 3325 |
| September | 3540 |
| October | 4080 |
| November | 1380 |
| December | 2460 |
| Total= | 40569 |
Diesel consumption-2017
| Month | Consumption (m3) | Total (m3) |
| January | 199562 | 199562 |
| Fabruary | 166298 | 166298 |
| March | 226877 | 226877 |
| April | 226878 | 226878 |
| May | 226471 | 226471 |
| June | 204137 | 204137 |
| July | 249582 | 249582 |
| August | 252464 | 252464 |
| September | 208844 | 208844 |
| October | 264690 | 264690 |
| November | 243421 | 243421 |
| December | 226798 | 226798 |
| Total= | 2696022 | |
| Electricity consumption Kwh-2017 (REB) | |
| Month | Consumption (kwh) |
| January | 180495 |
| Fabruary | 126140 |
| March | 125610 |
| April | 84005 |
| May | 98580 |
| June | 28355 |
| July | 82150 |
| August | 87715 |
| September | 44255 |
| October | 70490 |
| November | 80030 |
| December | 89305 |
| Total= | 1097130 |
| What is waste? Waste is any substance or object which is discarded, intended to be discarded or is required to be discarded. Waste can include expired raw materials generated from a process for which there is no further use on-site, expired finished products, process or non-process by-products, customer returns, redundant equipment, etc. It can also include electronic waste (or “e-waste”). (Higg 2.0-How to Higg Guide, V1.0, pg 66)Waste Classification:Waste generated in a facility can be classified mainly into two categories, 1) Hazardous waste & 2) Non-hazardous wasteHazardous waste "A hazardous waste is a waste that could cause harm to public health and/or the environment because of its chemical, physical or biological characteristics (e.g., it is flammable, explosive, toxic, radioactive, or infectious). Hazardous wastes that is dangerous or potentially harmful to our health or the environment. Hazardous wastes can be liquids, solids, gases, or sludge. They can be discarded commercial products, like cleaning fluids or pesticides, or the by-products of manufacturing processes. (The U.S. Environmental Protection Agency)"" (Higg 2.0-How to Higg Guide, V1.0, pg 66)Non-Hazardous waste: Non-Hazardous waste includes all other wastes that do not fit the definition of hazardous wastes. Example: cutting waste, paper & cardboardWaste can also be defined as 1) Process/ Production waste and 2) Non-process/ Non- Production wasteProcess Waste: Directly related to prodcution processExample: - Waste from, dyeing, washing, printing, embroidery, cutting, sewing, finishing, packaging & finishing - Waste from warehouse/ storeroom - Waste from printing, embroidery - Rejected garments - Rejected / unused dyes & chemicals - Laboratory waste - ETP sludge & Unused ETP chemicalsNon- Process Wastes: Not derectly related to production processExample: - Office waste – paper, cartoons, used printer/photo copier ink/toners - Medical waste - Electronic waste- used bulbs, tube lights, batteries, monitor - Oil, grease, leftover diesel - Burned diesel - Metallic and maintenance wastes - Chemical drums & containers - Paint |
***WTP Flow Meter Reading-2017***
| Libas Textile Ltd. | |||
| Nischintapur, Mouchak, Kaliakoir, Gazipur | |||
| E.T.P Flow Meter Reading-May, 2017 | |||
| Date | Runing Hours | Perday Reading (m3) | Remarks |
| 01/05/2017 | 24 | Flow Meter Problem | |
| 02/05/2017 | 24 | ||
| 03/05/2017 | 24 | ||
| 04/05/2017 | 24 | ||
| 05/05/2017 | 24 | ||
| 06/05/2017 | 24 | ||
| 07/05/2017 | 24 | ||
| 08/05/2017 | 24 | ||
| 09/05/2017 | 24 | ||
| 10/05/2017 | 24 | ||
| 11/05/2017 | 24 | ||
| 12/05/2017 | 24 | ||
| 13/05/2017 | 24 | ||
| 14/05/2017 | 24 | ||
| 15/05/2017 | 24 | ||
| 16/05/2017 | 24 | ||
| 17/05/2017 | 24 | ||
| 18/05/2017 | 24 | ||
| 19/05/2017 | 24 | ||
| 20/05/2017 | 24 | ||
| 21/05/2017 | 24 | 1032 | |
| 22/05/2017 | 24 | 1008 | |
| 23/05/2017 | 24 | 1002 | |
| 24/05/2017 | 24 | 1024 | |
| 25/05/2017 | 24 | 1019 | |
| 26/05/2017 | 0 | 0 | |
| 27/05/2017 | 24 | 1042 | |
| 28/05/2017 | 24 | 1032 | |
| 29/05/2017 | 24 | 1020 | |
| 30/05/2017 | 24 | 1015 | |
| 31/05/2017 | 24 | 1014 | |
| Total= | 10208 | ||
| E.T.P Flow Meter Reading-June, 2017 | |||
| Date | Runing Hours | Perday Reading (m3) | Remarks |
| 01/06/2017 | 24 | 1030 | |
| 02/06/2017 | 24 | 0 | |
| 03/06/2017 | 24 | 1008 | |
| 04/06/2017 | 24 | 1022 | |
| 05/06/2017 | 24 | 1028 | |
| 06/06/2017 | 24 | ||
| 07/06/2017 | 24 | ||
| 08/06/2017 | 24 | ||
| 09/06/2017 | 24 | ||
| 10/06/2017 | 24 | ||
| 11/06/2017 | 24 | ||
| 12/06/2017 | 24 | ||
| 13/06/2017 | 24 | ||
| 14/06/2017 | 24 | ||
| 15/06/2017 | 24 | ||
| 16/06/2017 | 24 | ||
| 17/06/2017 | 24 | ||
| 18/06/2017 | 24 | ||
| 19/06/2017 | 24 | ||
| 20/06/2017 | 24 | ||
| 21/06/2017 | 24 | ||
| 22/06/2017 | 24 | ||
| 23/06/2017 | 24 | ||
| 24/06/2017 | 24 | ||
| 25/06/2017 | 24 | ||
| 26/06/2017 | 0 | ||
| 27/06/2017 | 24 | ||
| 28/06/2017 | 24 | ||
| 29/06/2017 | 24 | ||
| 30/06/2017 | 24 | ||
| Total= | 4088 | ||