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DECENTRALIZED WASTEWATER TREATMENT
SYSTEMS
Dr. SHIRISH NAIK,
Chairman and Managing Director,
Naik Enviro, Mumbai, India
Former Faculty, Indian Institute of Technology , Mumbai ,
India
www.naikenviro.com
Sewage
Treatment
Facilities &
disposal
system
Pumping
stations
Sewer
network
COMPONENTS OF WASTEWATER
MANAGEMENT SYSTEMS
COST DETERMINANTS
• EXCAVATION , BACKFILL & ROAD REINSTATEMENT
• PIPES
• BEDDING
• MANHOLES
• PUMPING STATIONS
• SEWAGE TREATMENT PLANTS
• TREATED SEWAGE DISPOSAL/ REUSE SYSTEM
KEY COST DETERMINANTS
DEPTH DIAMETERS
FUNDAMENTAL PRINCIPLE
SOURCE
REUSETREATMENT
DECENTRALIZED CONFIGURATIONS FOR COST
EFFECTIVENESS
NAIKENVIRO THE HEART-N-SCIENCE OF
ENVIRONMENTAL ENGINEERING
Drastic reduction in pipe sizes
Reduction in manhole depths
Reduction in depths and excavations
NAIK ENVIRO’S APPROACH
– DECENTRALIZED CONFIGURATIONS
NAIKENVIRO THE HEART-N-SCIENCE OF
ENVIRONMENTAL ENGINEERING
sources
treatment
Reuse/recycle
locations
CENTRALIZED
DE-CENTRALIZED
DRASTIC REDUCTION IN CAPEX AND OPEX
CAPEX/
OPEX
KEY DECISIONS
KEY DECISIONS
NUMBER OF
ZONES &
DEMARKATION
PHASED
EXPANSION
TREATMENT
TECHNOLOGIES
REUSE/
RECYCLE
OPTIOSN
NUMBER OF ZONES AND DEMARKATION
ZONING
CONFIGURATION
DECISION
TOPOGRAPHY &
POPULATION
DENSITY PROFILE
SENSITIVE
ZONES, SOIL
PARAMETERS
ADMINISTRATIVE
BOUNDARIES &
AVAILABLE SITES
DIVIDERS
LIKE
RAILWAY
LINES,
RIVERS ETC
PHASED EXPANSION
PHASE 1
PHASE 2
PHASE 3
PHASED EXPANSION
VARIATIONS IN POPULATION DYNAMICS
NEED TO BE ADDRESSED
PHASED EXPANSION
POTENTIAL STP ZONES
PHASED EXPANSION
ZONING WILL DEPEND ON AVAILABLE
SITES FOR STPs
PHASED EXPANSION
ZONING WILL DEPEND ON PHYSICAL FEATURES
LIKE RIVERS FLOWING THROUGH CITY OR RAILWAY LINES
DIVIDING THE CITY INTO ZONES
STP SITE SELECTION CRITERIA
• Space availability
• Land Acquisition constraints
• Land cost
• Potential future uses of candidate sites
• Growth dynamics
• Sensitive receptors
• Soil mechanics
• Topography
• Treated sewage reuse zones
• Feasibility of laying sewer lines upto STP
• Invert depths of sewers at STP site
CANDIDATE SITES FOR STPS
• Sewage Pumping station premises
• Old STP premises
• Parks & Playgrounds (underground STPs)
• Reclaimed Landfill sites
• Span across Natural Drains
STP TECHNOLOGY SELECTION CRITERIA
• Foot print needed
• Environmental Impacts
• Sound
• Odour & aerosol contamination
• Land value impacts
• Complexity and extent of civil works
• Economic decision variables
• CAPEX
• OPEX
• Present Worth
• Technology Track Record, especially low flow
Handling capability
PRESENT WORTH ANALYSIS
• F= (1+(1+I)^n/((I*(1+I)^n
Capital cost
O&M cost
Convert O&M cost
To present worth
Present worth
Of capital cost
Presentworth
Time horizon
TRIAXIAL TRADE-OFF
Optimal
Solution
Phased
expansion
DecentralizationSystem Synthesis and
process optimization
HEURISTIC CONSIDERATIONS IN PHASED
EXPANSION OPTIMIZATION
200 TIME HORIZON 0
TIME HORIZON 20
EXCESS CAPACITIESEXCESS CAPACITIES
EXCESS (IDLE) CAPACITIES REDUCE COST EFFECTIVENESS
ECONOMY OF SCALE CONCEPT
COSTPERUNITOFCAPACITY
CAPACITY
COSTPERUNITOFCAPACITY CAPACITY
WEAK ECONOMY OF SCALE
INDICATES PREFERENCE OF
MODULAR EXPANSION
STRONG ECONOMY OF SCALE
INDICATES PREFERENCE OF
LONG TERM DESIGN HORIZON
TECHNOLOGY SPECTRUM
CAPITAL
INTENSIVE
OPEX
INTENSIVE
LAND
INTENSIVE
ALGORITHM FORHEURISTIC OPTIMIZATION OF
DECENTRALIZED WASTEWATER MANAGEMENT
• DATA COMPILATION
• Road Map of city with contours, land use pattern, physical features etc
• Population and population density overlay on map – present and 5
years time spans till say 20years
• Show per capita water use and sewage generation on plan
• Show treated water reuse/ recyle zones and demands on plan
• Show existing sewerage system, pumping stations and STPs on plan
• Show candidate STP and pumping station sites with plot areas and
tabulate soli data
• Show sensitive zones
• Show traffic density on road network and alternative routes
ALGORITHM FORHEURISTIC OPTIMIZATION OF
DECENTRALIZED WASTEWATER MANAGEMENT
• DATA COMPILATION
• Tabulate cost data for system components and develop rate
analysis chart, example..
• a) Cost per m of sewer line v/s dia and depth (all inclusive)
• b) Cost of manholes v/d depth and size
• c) Cost of u/g tanks v/s capacity and depth below GL
• d) Cost of pumping machinery v/s discharge and head
• e) Cost of substations v/s KVA
• f) Cost of various technologies-- v/s design flow for various
use options
ALGORITHM FORHEURISTIC OPTIMIZATION OF
DECENTRALIZED WASTEWATER MANAGEMENT
• DATA COMPILATION
• g) Cost of Power per Kwhr
• h) Manpower costs for various technologies v/s capacity
• i) Maintenance costs for various technologies v/s capacity
and equipment age
• j) Compile land costs at pumping station and STP sites
ALGORITHM FOR HEURISTIC OPTIMIZATION OF
DECENTRALIZED WASTEWATER MANAGEMENT
• Mark candidate STP locations and demarkate zones considering
cotours, roads, sensitive zones, population densities etc
• Mark main and sub main sewer networks terminating at STPs
and decide on number of zones and their demarcation. This is
the first option. Take the maximum number of zones you would
like to consider.
• Mark and compute drainage areas and multiply these by
population densities applicable and per capita sewage
generation. Use CPHEEO criteria to compute peak flows. Insert
the peak flow numbers on the networks
• Input the data for various zones into to a sewerage design
software or carry out the design using an excel template
ALGORITHM FOR HEURISTIC OPTIMIZATION OF
DECENTRALIZED WASTEWATER MANAGEMENT
• Plots invert level profiles on road map and decide on intermediate
pumping stations … compute CAPEX and OPEX of sewerage system
• Decide on time horizon for each zone based on flow estimates over 5
year intervals up to 20 years
• Compute space requirement for pumping stations and STPSs for the
ultimate stage. Check adequacy of space and find options. Make note
of space inadequacies for next iteration.
• Compute CAPEX including land costs and OPEX of zone STPs for
selected technologies
• Compute overall CAPEX, OPEX and present worth of the overall
system.
• Now you are ready for the next iteration in which you may merge
some zones and repeat the exercise.
ECONOMY OF DECENTRALIZATION
NUMBER OF ZONES
PRESENTWORTH
1 2 3 4 5
NETWORKING & AUTOMATION OF
DECENTRALIZED STPS
• Control through SCADA (Supervisory Control and Data
Acquisition) Alerts on mobile phones of control team.
• Central control hub with mobile squad
• Visual observation and control through cameras, DVDs and
desktops
• Complete automation through Programmable Logic
Controls (PLCs)
E-CONNECTIVITY--- ECOBIOPACK ONLINE
NAIKENVIRO THE HEART-N-SCIENCE OF
ENVIRONMENTAL ENGINEERING
Raw sewage tank
Rotating Media
Bio Reactors
Dual Media filters
Settlement tankSludge Dewatering
Systems
Raw sewage Pumps
9MLD COMPACT STP AT WADALA TRUCK TERMINUS
NAIKENVIRO THE HEART-N-SCIENCE OF
ENVIRONMENTAL ENGINEERING
RMBR-
1,2,3
SETTLING
TANK- 1,2,3
RAW
SEWAGE
TANK
3-D DRAWING OF 1.5 MLD STP
1.5 MLD NAIK ENVIRO SCADA CONTROLLED COMPACT SEWAGE
TREATMENT PLANT– 3D MODEL
PROCESS FLOW DIAGRAM
Raw waste
water pumpScreen
RMBR
Flocculation Channel
Settling Tank
Filter Feed Tank
Pressure Sand Filter
Activated Carbon Filter
Meters:
1] Flow meter
2] pH meter
3] Temperature meter
4] DO meter
Treated
Water
Tank
Ozone Dosing
System
Sludge Dewatering System
Backwash/Rinse
Sludge
Treated
Water
Tank
NAIKENVIRO
BEFORE
AFTER
SCADA
•The operating system at site is SCADA, which stands for supervisory control and data
acquisition. It is an industrial control system where a computer system monitors and
controls the ongoing operation/process.
•The software gives various information's like details of pump operation, breakdown
details, energy consumption, treated water quality parameters, historical trends etc.
Main Screen NAIKENVIRO
SCADA –Home Screen NAIKENVIRO
DECENTRALIZED STP FOR GATED COMMUNITY IN PUNE INDIA
NAIKENVIRO THE HEART-N-SCIENCE OF
ENVIRONMENTAL ENGINEERING
DECENTRALIZED STP FOR MUNICIPAL CORPORATION OF MUMBAI 1 MLD
AT BANDRA, MUMBAI SEWAGE PUMPING STATION
NAIKENVIRO THE HEART-N-SCIENCE OF
ENVIRONMENTAL ENGINEERING
DECENTRALIZED STP BASED ON ROTATNG
MEDIA BIO REACTOR TECHNOLOGY FOR
MUNICIPAL CORPORATION OF MUMBAI 1 MLD
AT BANDRA, MUMBAI SEWAGE PUMPING
STATION– ELEVATION VIEW
DECENTRALIZED STP BASED ON ROTATNG
MEDIA BIO REACTOR TECHNOLOGY FOR
MUNICIPAL CORPORATION OF MUMBAI 1 MLD
AT BANDRA, MUMBAI SEWAGE PUMPING
STATION– BIRDS EYE VIEW

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Dr shirish naik - Decentralized wastewater treatment systems

  • 1. DECENTRALIZED WASTEWATER TREATMENT SYSTEMS Dr. SHIRISH NAIK, Chairman and Managing Director, Naik Enviro, Mumbai, India Former Faculty, Indian Institute of Technology , Mumbai , India www.naikenviro.com
  • 3. COST DETERMINANTS • EXCAVATION , BACKFILL & ROAD REINSTATEMENT • PIPES • BEDDING • MANHOLES • PUMPING STATIONS • SEWAGE TREATMENT PLANTS • TREATED SEWAGE DISPOSAL/ REUSE SYSTEM
  • 6. DECENTRALIZED CONFIGURATIONS FOR COST EFFECTIVENESS NAIKENVIRO THE HEART-N-SCIENCE OF ENVIRONMENTAL ENGINEERING Drastic reduction in pipe sizes Reduction in manhole depths Reduction in depths and excavations
  • 7. NAIK ENVIRO’S APPROACH – DECENTRALIZED CONFIGURATIONS NAIKENVIRO THE HEART-N-SCIENCE OF ENVIRONMENTAL ENGINEERING sources treatment Reuse/recycle locations CENTRALIZED DE-CENTRALIZED DRASTIC REDUCTION IN CAPEX AND OPEX CAPEX/ OPEX
  • 8. KEY DECISIONS KEY DECISIONS NUMBER OF ZONES & DEMARKATION PHASED EXPANSION TREATMENT TECHNOLOGIES REUSE/ RECYCLE OPTIOSN
  • 9. NUMBER OF ZONES AND DEMARKATION ZONING CONFIGURATION DECISION TOPOGRAPHY & POPULATION DENSITY PROFILE SENSITIVE ZONES, SOIL PARAMETERS ADMINISTRATIVE BOUNDARIES & AVAILABLE SITES DIVIDERS LIKE RAILWAY LINES, RIVERS ETC
  • 11. PHASED EXPANSION VARIATIONS IN POPULATION DYNAMICS NEED TO BE ADDRESSED
  • 13. PHASED EXPANSION ZONING WILL DEPEND ON AVAILABLE SITES FOR STPs
  • 14. PHASED EXPANSION ZONING WILL DEPEND ON PHYSICAL FEATURES LIKE RIVERS FLOWING THROUGH CITY OR RAILWAY LINES DIVIDING THE CITY INTO ZONES
  • 15. STP SITE SELECTION CRITERIA • Space availability • Land Acquisition constraints • Land cost • Potential future uses of candidate sites • Growth dynamics • Sensitive receptors • Soil mechanics • Topography • Treated sewage reuse zones • Feasibility of laying sewer lines upto STP • Invert depths of sewers at STP site
  • 16. CANDIDATE SITES FOR STPS • Sewage Pumping station premises • Old STP premises • Parks & Playgrounds (underground STPs) • Reclaimed Landfill sites • Span across Natural Drains
  • 17. STP TECHNOLOGY SELECTION CRITERIA • Foot print needed • Environmental Impacts • Sound • Odour & aerosol contamination • Land value impacts • Complexity and extent of civil works • Economic decision variables • CAPEX • OPEX • Present Worth • Technology Track Record, especially low flow Handling capability
  • 18. PRESENT WORTH ANALYSIS • F= (1+(1+I)^n/((I*(1+I)^n Capital cost O&M cost Convert O&M cost To present worth Present worth Of capital cost Presentworth Time horizon
  • 20. HEURISTIC CONSIDERATIONS IN PHASED EXPANSION OPTIMIZATION 200 TIME HORIZON 0 TIME HORIZON 20 EXCESS CAPACITIESEXCESS CAPACITIES EXCESS (IDLE) CAPACITIES REDUCE COST EFFECTIVENESS
  • 21. ECONOMY OF SCALE CONCEPT COSTPERUNITOFCAPACITY CAPACITY COSTPERUNITOFCAPACITY CAPACITY WEAK ECONOMY OF SCALE INDICATES PREFERENCE OF MODULAR EXPANSION STRONG ECONOMY OF SCALE INDICATES PREFERENCE OF LONG TERM DESIGN HORIZON
  • 23. ALGORITHM FORHEURISTIC OPTIMIZATION OF DECENTRALIZED WASTEWATER MANAGEMENT • DATA COMPILATION • Road Map of city with contours, land use pattern, physical features etc • Population and population density overlay on map – present and 5 years time spans till say 20years • Show per capita water use and sewage generation on plan • Show treated water reuse/ recyle zones and demands on plan • Show existing sewerage system, pumping stations and STPs on plan • Show candidate STP and pumping station sites with plot areas and tabulate soli data • Show sensitive zones • Show traffic density on road network and alternative routes
  • 24. ALGORITHM FORHEURISTIC OPTIMIZATION OF DECENTRALIZED WASTEWATER MANAGEMENT • DATA COMPILATION • Tabulate cost data for system components and develop rate analysis chart, example.. • a) Cost per m of sewer line v/s dia and depth (all inclusive) • b) Cost of manholes v/d depth and size • c) Cost of u/g tanks v/s capacity and depth below GL • d) Cost of pumping machinery v/s discharge and head • e) Cost of substations v/s KVA • f) Cost of various technologies-- v/s design flow for various use options
  • 25. ALGORITHM FORHEURISTIC OPTIMIZATION OF DECENTRALIZED WASTEWATER MANAGEMENT • DATA COMPILATION • g) Cost of Power per Kwhr • h) Manpower costs for various technologies v/s capacity • i) Maintenance costs for various technologies v/s capacity and equipment age • j) Compile land costs at pumping station and STP sites
  • 26. ALGORITHM FOR HEURISTIC OPTIMIZATION OF DECENTRALIZED WASTEWATER MANAGEMENT • Mark candidate STP locations and demarkate zones considering cotours, roads, sensitive zones, population densities etc • Mark main and sub main sewer networks terminating at STPs and decide on number of zones and their demarcation. This is the first option. Take the maximum number of zones you would like to consider. • Mark and compute drainage areas and multiply these by population densities applicable and per capita sewage generation. Use CPHEEO criteria to compute peak flows. Insert the peak flow numbers on the networks • Input the data for various zones into to a sewerage design software or carry out the design using an excel template
  • 27. ALGORITHM FOR HEURISTIC OPTIMIZATION OF DECENTRALIZED WASTEWATER MANAGEMENT • Plots invert level profiles on road map and decide on intermediate pumping stations … compute CAPEX and OPEX of sewerage system • Decide on time horizon for each zone based on flow estimates over 5 year intervals up to 20 years • Compute space requirement for pumping stations and STPSs for the ultimate stage. Check adequacy of space and find options. Make note of space inadequacies for next iteration. • Compute CAPEX including land costs and OPEX of zone STPs for selected technologies • Compute overall CAPEX, OPEX and present worth of the overall system. • Now you are ready for the next iteration in which you may merge some zones and repeat the exercise.
  • 28. ECONOMY OF DECENTRALIZATION NUMBER OF ZONES PRESENTWORTH 1 2 3 4 5
  • 29. NETWORKING & AUTOMATION OF DECENTRALIZED STPS • Control through SCADA (Supervisory Control and Data Acquisition) Alerts on mobile phones of control team. • Central control hub with mobile squad • Visual observation and control through cameras, DVDs and desktops • Complete automation through Programmable Logic Controls (PLCs)
  • 30. E-CONNECTIVITY--- ECOBIOPACK ONLINE NAIKENVIRO THE HEART-N-SCIENCE OF ENVIRONMENTAL ENGINEERING
  • 31. Raw sewage tank Rotating Media Bio Reactors Dual Media filters Settlement tankSludge Dewatering Systems Raw sewage Pumps 9MLD COMPACT STP AT WADALA TRUCK TERMINUS NAIKENVIRO THE HEART-N-SCIENCE OF ENVIRONMENTAL ENGINEERING
  • 32.
  • 33. RMBR- 1,2,3 SETTLING TANK- 1,2,3 RAW SEWAGE TANK 3-D DRAWING OF 1.5 MLD STP 1.5 MLD NAIK ENVIRO SCADA CONTROLLED COMPACT SEWAGE TREATMENT PLANT– 3D MODEL
  • 34. PROCESS FLOW DIAGRAM Raw waste water pumpScreen RMBR Flocculation Channel Settling Tank Filter Feed Tank Pressure Sand Filter Activated Carbon Filter Meters: 1] Flow meter 2] pH meter 3] Temperature meter 4] DO meter Treated Water Tank Ozone Dosing System Sludge Dewatering System Backwash/Rinse Sludge Treated Water Tank NAIKENVIRO
  • 36. SCADA •The operating system at site is SCADA, which stands for supervisory control and data acquisition. It is an industrial control system where a computer system monitors and controls the ongoing operation/process. •The software gives various information's like details of pump operation, breakdown details, energy consumption, treated water quality parameters, historical trends etc. Main Screen NAIKENVIRO
  • 37.
  • 38. SCADA –Home Screen NAIKENVIRO
  • 39.
  • 40.
  • 41.
  • 42. DECENTRALIZED STP FOR GATED COMMUNITY IN PUNE INDIA
  • 43. NAIKENVIRO THE HEART-N-SCIENCE OF ENVIRONMENTAL ENGINEERING DECENTRALIZED STP FOR MUNICIPAL CORPORATION OF MUMBAI 1 MLD AT BANDRA, MUMBAI SEWAGE PUMPING STATION
  • 44. NAIKENVIRO THE HEART-N-SCIENCE OF ENVIRONMENTAL ENGINEERING DECENTRALIZED STP BASED ON ROTATNG MEDIA BIO REACTOR TECHNOLOGY FOR MUNICIPAL CORPORATION OF MUMBAI 1 MLD AT BANDRA, MUMBAI SEWAGE PUMPING STATION– ELEVATION VIEW
  • 45. DECENTRALIZED STP BASED ON ROTATNG MEDIA BIO REACTOR TECHNOLOGY FOR MUNICIPAL CORPORATION OF MUMBAI 1 MLD AT BANDRA, MUMBAI SEWAGE PUMPING STATION– BIRDS EYE VIEW