biomedical waste management – challenges & opportunities speaker ppts/day 2/session 2x/sandeep...
TRANSCRIPT
Biomedical Waste Management – Challenges & Opportunities
Sandeep Mukherjee
Environmental Management Centre (EMC) LLP
The challenges
• Is Enviro-legal Compliance linked to viability of unit?
• Is it possible to develop a balanced charging regime that leads to a Win-Win solution?
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CBMWTDF
Health care Industry
Regulator
Viability Compliance
Service
How to develop a rational charging model?
• Is it possible to develop a scientific rationale for charging that leads to a win-win
condition? HOW?
• Commissioned by Maharashtra Pollution Control Board (MPCB) in 2009-10
• Objectives of the study:
– To evolve a guidance and scheme for authorised operators/ transporters of CBMWTDF for fixing charges on Health Care Establishments
– Scheme should be rational, reasonable and should ensure financial viability of CBMWTDF
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CBMWTDFs in Maharashtra
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28 incinerator based & 6 deep
burial based facilities in
Maharashtra
• 5kg BMW/d - 2050 kg BMW/d
• 130 beds - 8136 beds
• Rs. 2 – Rs. 6 / bed/day (bedded HCEs)
• Rs. 62.5 to Rs.1000/month (non-bedded HCEsSize
Indicates nos. of beds
Data Collection from CBMWTDF
• Questionnaire was designed, finalized with MPCB & mailed to individual MPCB Regional Officers for forwarding to each CBMWTDF operators
• Information requested consisted of:
– Technical Information (operating capacity, beds, members, hrs. of operation, waste received, division into incinerable & non-incinerable category etc.)
– Transporter Details (area served, city, km travelled, waste received etc.)
– Financial Details (Share of Capital, cost of operation incl. fixed cost, variable cost, transportation cost)
• Received information from 24 CBMWTDF operators with incinerators and 5 CBMWTDFs operators with deep burial facility
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kg BMW generation/d
Cumulative frequency distribution of BMW generated/bed/d
Approx. 78.5% of the observed values are below 0.2 kg/bed/d value.
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Representative BMW generation factor is 0.2 kg/bed/d
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Analysis of O&M cost
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Manpower_ cost 31%
Fuel cost for CBMWTSDF
28%
Fuel Cost for transportation
15%
Cost of Chemicals 3%
Maintenance cost /month
8%
Other Costs / month 15%
Financial analysis:
The fractions of average monthly O&M cost: � Fuel cost for running incinerators is 28% � Fuel cost for transportation is 15% � cost for Manpower cost contribution is 31% Cumulatively Fuel and Manpower constitute approx. 74% of the monthly O&M Cost
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Viability analysis of CBMWTDFs: NPV
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22.3%
11.0%
33.3%
39.6%
22.1%
9.3%
19.2%
25.2% 27.6% 27.7%
-26.6%
21.6%
26.9%
8.2%
20.5%
16.9%
-3.4%
-16.2%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
-250
-200
-150
-100
-50
0
50
100
150
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Facilities
NPV IRR
Development of Representative Simulation Model
• The data received through questionnaire survey helped to assess viability of 29 CBMWTDF with capacity from 130 to 8136 beds.
• In order to allow the charging policy to be applicable to a wide range of situations such as, say, 500 to 15,000 beds, simulations were required
• This Representative model was designed as a representative from the actual data received from the 29 CBMWTDF.
• Since the purpose of simulation is to test the economic viability of CBMWTDF, for various charging policies, the Base model is programmed to compute NPV & IRRs, using platform like Microsoft® ExcelTM.
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Parameters used in Representative Model
Parameter Rate Unit
BMW generation/bed/d 0.2 kg/bed/d
Incinerable BMW 69 % of total BMW
Mileage of vehicle 10 km/L diesel
Max. operating speed of vehicle 25 km/hr.
working hours 10 hrs./d
Working days/yr. 360 days/yr.
Diesel requirement for incineration
0.26 L/kg
Contingency added in costing 5 %
Rent/ Lease fees payable @ 5 % of revenue
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Lifespan of Veh. & Equip. 10 years
Salvage Value 5% of capex
Depreciation type Linear
Growth rate of manpower cost 6 %/yr.
Yearly diesel rate growth 7.72 % / yr.
Growth rate in nos. of members 3 % / yr.
Growth rate in charge/bed/d 5 % / yr.
Contingency rate 5 %
Yearly discounting rate 10 %/yr.
Relationship between km travel/d with nos. of beds
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682
295
700
1250
360
965
200
10
550 550 550
1142
1875
980
125
45
400 421
305
160 161
43 17.5
250
450
21
290
875
y = 0.256x 0.9071 R² = 0.5511
0
200
400
600
800
1000
1200
1400
1600
1800
2000
0 1000 2000 3000 4000 5000 6000 7000 8000 9000
km/d
Nos. of Beds
Km/d
Power (Km/d)
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Details of the Simulations Performed
Simulation used the data derived from 24 nos. CBMWTDF with incinerators and 5 nos. CBMWTDF with deep burials
Simulations were carried out using the following:
– beds raging from 500 to 15,000 with interval of 250 beds = 59 steps
– Charge ranging from Rs. 2– Rs.15/bed/d with interval of 0.5 Rs. = 27 steps
Thus, 59 x 27 = 1593 simulations were carried out and for each simulation respective NPV & IRR were computed
Combinations of beds and charge/bed/d resulting into IRR values between 10% and 20% were considered as viable
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Charging policy for CBMWTDF with Incinerators
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Comparison of Existing and Rational Charges
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Developing Fixed + Variable Charging Policy
• When HCEs are scattered, transport cost becomes the most important determinant
of viability of CBMWTDF
• In such conditions, an extension of rational bed based charging policy to account for
variable transportation cost may be required
• A fixed or common charge may be levied on beds (which as approx. 30% of the charge
derived from Base model, corresponds to the capital cost)
• A variable charge may be levied on beds( approx. 70% of charge derived from
Representative model, corresponding to the transport & O&M cost).
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Example of Application of Different Charging Policies
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Options Fixed Base
Charge
(Rs./bed/d)
Additional Charge based on
distance (Rs./bed/d)
Resultant
IRR
Remarks
50 km 100 km 150 km
Option 1 2500 beds 1500 beds 1000 beds Uniform charging
across zones 4 0.00 0.00 0.00 20.14%
Option 2 2500 beds 1500 beds 1000 beds Charge based on
zones 1.2 2.15 2.75 3.00 19.99%
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z1
z2
z3
Concluding Remarks
Technical and Financial data of 29 nos. CBMWTDFs were analyzed
On average person power is 32%and fuel cost is 42% of O&M costs
Diesel cost was a key determinant of viability
In most cases, incinerators were found either oversized / underutilized
It was found that only 8 out of 29 CBMWTDFs were found to be financially viable (i.e. they have positive IRR)
Deep burials were found mostly unviable
Should the PCBs ban deep burial?
Model based on data supplied by CBMWTDFs; most of the data was verified during a workshop in Mumbai in 2010.
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Concluding Remarks…(2)
How this model could be useful for Regulators / ULBs
Help in screening facilities with abysmally low / high quotes
Helps in identifying viable facilities
Help identifying pre-conditions that lead to viability of facility
Identify facilities with subsidy/ grant / soft loan requirement & determine quantity
Ensure better compliance regime
How this model could be useful for CBMWTDFs
• Screen situations better; reduce risk and uncertainty in decision making
• Plan your charge & progression
• Plan your expenses
• Identify key concerns and cut expenses
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Charging of non-bedded HCEs
• Non bedded HCEs were also considered in the study
• Data for 28 clinic/dispensaries and 7 path labs was obtained from RO, Mumbai
• Average BMW generation in non-bedded HCE ranged from 0.4 to 20 kg/month, with an average of 6 kg/month
• The waste generated from non bedded HCE could be converted to equivalent nos. of beds by diving with BMW generated /bed/d
[6 kg BMW/clinic/month]
[(0.2 kg BMW generated/bed/d)*(30 days /month)]
• Clinics could be charged based on their bed equivalents on monthly basis
• Cost components include cost of treatment and cost of transportation
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Base model Results for CBMWTDF with Deep Burials
For a CBMWTDF with deep burial
facilities the following rates should be
charged (in Rs./bed/d)
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Beds 15% IRR 10% IRR
500 138.5 57.8
1000 80.0 33.0
2000 46.0 19.0
4000 26.8 10.9
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THANK YOU
November, 2014