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Technical Evaluation and Analysis of Energy Conservation, System Improvement and GHG Emissions Reduction from Capacitor Installation on Agricultural Pumpset.

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Presentation on theme: "Technical Evaluation and Analysis of Energy Conservation, System Improvement and GHG Emissions Reduction from Capacitor Installation on Agricultural Pumpset."— Presentation transcript:

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2 Technical Evaluation and Analysis of Energy Conservation, System Improvement and GHG Emissions Reduction from Capacitor Installation on Agricultural Pumpset Motors February 2013 Sustainable Hyderabad Project: Implementing cooperative and technical solutions to increase energy efficiency in irrigation

3 Project Scope cBalance Solutions Hub2 1.DISCOM – Co-Operative Electric Supply Society (CESS) 2.No. of Sub station – 2 a)Vattemula Sub-station 33/11 KV b)Sanugula Sub-Station 33/11 KV 3.No. of Feeder – 4 a)Namiligondapally Feeder 11 KV b)Vattemula Feeder 11KV c)Sanugula Feeder 11 KV d)Lingampet Feeder 11 KV 4.Selected feeder for capacitors installation: a)Namiligondapally Feeder 11 KV b)Sanugula Feeder 11 KV 5.Total no. of DTR under Namiligondapally & Sanugula feeder: a)100 KVA – 35 No. b)63 KVA – 7 No. 6.Total Capacity of DTRs – 3941 KVA 7.No. of Villages – 5 a)Namiligondapally b)Vattemula c)Kothapet d)Sanugula e)Ramaraopali

4 Project Scope cBalance Solutions Hub3 8.Total No. of Pumps – 809 9.Total Capacity of all pumps – 3028 HP 10.Pump Type Classifications: Pump RatingWell TypePump TypeNo. of Pumps 3 HPShallow wellCentrifugal312 5 HPShallow wellCentrifugal203 5 HPBore wellSubmersible248 7.5Shallow wellCentrifugal4

5 Study Scope cBalance Solutions Hub4 1.DISCOM – Co-Operative Electric Supply Society (CESS) 2.Sub station- Vattemula Sub-station 33/11 KV 3.Feeder – Namiligondapally Feeder 11 KV 4.Total no. of DTR under Namiligondapally feeder: a)100 KVA – 13 No. b)63 KVA – 3 No. 5.Total capacity of DTRs – 1489 KVA 6.Total area covered – 10.07 Kms 7.Total No. of Pumps – 325 8.Total Capacity of all pumps – 1176.5HP 10.Pump Type Classifications: Pump RatingWell TypePump TypeNo. of Pumps 3 HPShallow wellCentrifugal181 5 HPShallow wellCentrifugal70 5 HPBore wellSubmersible70 7.5Shallow wellCentrifugal4

6 DTR Selection Methodology cBalance Solutions Hub5 Pump RatingWell TypePump TypeNo. of PumpsCategory 3 HPShallow wellCentrifugal181A 5 HPShallow wellCentrifugal70B 5 HPBore wellSubmersible70C 7.5Shallow wellCentrifugal4D 1.Ideal DTR defined as DTR with 33% distribution across categories A, B, C 2.Deviation from ideal distribution calculated for each DTR: = (% of Category A Pumps – 33%) + (% of Category B Pumps – 33%) + (% of Category C Pumps – 33%) 3.DTRs with lowest ‘sum of differences’ and mix of overloaded / non-overloaded DTRs selected for study

7 Evaluation Methodology cBalance Solutions Hub6 Sequential Capacitor Addition - Sampling Plan Table

8 cBalance Solutions Hub7 Challenging Field Study Non- Cooperation of Farmers Disconnected Capacitors Availability of Water for Pumping Power Supply Timings System Inequilibrium Challenges to Ideal Selection & Evaluation Methodlogy

9 P1 C1 P2 C2 P3 C3 P4 C4 P5 C5 P6 C6 P7 C7 P8 C8 P9 C9 P10 C10 P11 C11 P12 C12 P13 C13 P14 C14 P15 C15 P16 C16 P17 C17 P18 C18 P19 C19 P20 C20 Scenario 1: Successive connectivity of capacitors DTR

10 P1 C1 P2 C2 P3 C3 P4 C4 P5 C5 P6 C6 P7 C7 P8 C8 P9 C9 P10 C10 P11 C11 P12 C12 P13 C13 P14 C14 P15 C15 P16 C16 P17 C17 P18 C18 P19 C19 P20 C20 Scenario 2: Successive connectivity of capacitors but random turning off of pumps. DTR

11 P1 C1 P2 C2 P3 C3 P4 C4 P5 C5 P6 C6 P7 C7 P8 C8 P9 C9 P10 C10 P11 C11 P12 C12 P13 C13 P14 C14 P15 C15 P16 C16 P17 C17 P18 C18 P19 C19 P20 C20 Scenario 3: Connection/Disconnection of capacitors at a time DTR

12 Evaluation Scope cBalance Solutions Hub11 1.Selected DTRs for study : a)KTP I – 100 KVA b)VTM IX – 100 KVA c)NGP II – 100 KVA d)NGP III – 100 KVA 2.No. of Pumps connected with selected DTRs – 122 3.Total capacity of pumps connected with selected DTRs – 450 HP 4.No. of Villages covered - 3 a)Namiligundipalli b)Vattemula c)Kothapet

13 Results cBalance Solutions Hub12 Method 1: KTP - I

14 Results cBalance Solutions Hub13 Method 1: KTP - I

15 Results cBalance Solutions Hub14 Method 1: KTP - I

16 Results cBalance Solutions Hub15 Method 1: KTP - I

17 Results cBalance Solutions Hub16 Method 1: KTP - I

18 Results cBalance Solutions Hub17 Method 1: KTP - I

19 Results cBalance Solutions Hub18 Method 1: KTP - I

20 Results cBalance Solutions Hub19 Method 1: KTP - I

21 Results cBalance Solutions Hub20 Method 1: KTP - I

22 Results cBalance Solutions Hub21 Method 1: KTP - I

23 Results cBalance Solutions Hub22 Method 1: VTM - IX

24 Results cBalance Solutions Hub23 Method 1: VTM - IX

25 Results cBalance Solutions Hub24 Method 1: VTM - IX

26 Results cBalance Solutions Hub25 Method 2: KTP - I

27 Results cBalance Solutions Hub26 Method 2: KTP - I

28 Results cBalance Solutions Hub27 Method 2: KTP - I

29 Results cBalance Solutions Hub28 Method 2: KTP - I

30 Results cBalance Solutions Hub29 Method 2: KTP - I

31 Results cBalance Solutions Hub30 Method 2: KTP - I

32 Results cBalance Solutions Hub31 Method 2: KTP - I

33 Results cBalance Solutions Hub32 Method 2 : NGP- 3

34 Results cBalance Solutions Hub33 Method 2: NGP - 3

35 Results cBalance Solutions Hub34 Method 2: NGP - 3

36 Results cBalance Solutions Hub35 Method 2: NGP - 3

37 Results cBalance Solutions Hub36 Method 2: NGP - 3

38 Results cBalance Solutions Hub37 ParameterI/kWkVA/kWkVAR/kW BeforeAfterBeforeAfterBeforeAfter min2.803.591.191.100.440.45 25%-ile4.423.841.241.110.720.50 Median4.804.431.251.130.740.51 Mean5.204.521.361.130.770.52 75%-ile6.524.851.271.140.780.53 max8.245.892.131.161.220.60 Method 2: KTP - I

39 cBalance Solutions Hub38 ParameterI/kWkVA/kWkVAR/kW BeforeAfterBeforeAfterBeforeAfter min4.181.240.72 25%-ile4.401.270.79 Median4.611.300.85 Mean4.784.3161.321.1120.860.486 75%-ile5.211.360.90 max5.571.461.07 Method 2: VTM - IX Results

40 cBalance Solutions Hub39 ParameterI/kWkVA/kWkVAR/kW BeforeAfterBeforeAfterBeforeAfter min 4.001.150.54 25%-ile 5.211.170.59 Median 5.341.190.65 Mean 5.49 6.432 1.19 1.111 0.64 0.741 75%-ile 6.041.210.68 max 7.081.260.75 Method 2: NGP - II Results

41 cBalance Solutions Hub40 ParameterI/kWkVA/kWkVAR/kW BeforeAfterBeforeAfterBeforeAfter min 4.773.341.170.780.680.36 25%-ile 5.044.231.201.130.680.52 Median 5.554.771.201.160.690.56 Mean 5.404.781.251.170.720.56 75%-ile 5.735.101.221.170.700.59 max 5.956.641.561.730.890.75 Method 2: NGP - III

42 ENERGY Conservation 41 Value Additions – Reduce Costs, Reduce Risks cBalance Solutions Hub

43 42 Value Additions - Reduce Costs, Reduce Risks POTENTIAL Conservation Case Scenario: - I 2 R Losses reduction and reduced kVA generation by utility - 3028 hp connected load per feeder - PF improvement from 0.8 to 0.9 - kVA/kW reduction of 9.4% - I/kW reduction of 7.7 % - 3.5 km distance of pump from Feeder - 34 mm2 dia. aluminum conductor - Andhra Pradesh Grid Electricity GHG EF = 0.91 kg CO2e/kWh - 910 hrs. operation per year (5 hrs/day, for 6 months)

44 cBalance Solutions Hub43 Value Additions - Reduce Costs, Reduce Risks POTENTIAL Annual Conservation Potential: 320 tonnes CO2e/feeder GHG Emissions Annual Conservation Potential: 3,55,00 kWh/year Electricity Annual Revenue Potential: INR 32 Lakh/year Revenue


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