SARI/Energy Lighting Initiative. Load Research & Implementation of an EE Lighting Program (Based on a case study: Sri Lanka)
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1 SARI/Energy Lighting Initiative Load Research & Implementation of an EE Lighting Program (Based on a case study: Sri Lanka) M S Jayalath Sr. Energy Consultant & LEED AP EnergySolve International (Pvt) Ltd (A member of the United States Green Building Council) 165/55, Sri Saddharmarama Mw, Nawala Road, Colombo 5, Sri Lanka Tel: (94) Fax: (94) info@energysolveinternational.com April, 2009
2 Presentation layout Need for Load Research? Key Objectives of Load Research Approach to Load Research Key Results Need for load curve improvements EE initiative Load curve impact 2
3 Demand (MW) 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24: WHY Load Research? Load Profile on a Typical Weekday Average Load Factor = 55% Average Peak on a Typical Weekday = 1250MW?????????????
4 4 Load Shape Differences :00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 Demand (MW) 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00 System Region 1 Region 2 Region 3 Region 4 Colombo 300 Typical Weekday Typical Weekday
5 Key Objectives of Load Research Provide detailed breakdown and analysis of system load profile Provide input to; DSM program design Tariff restructure Future expansion: generation, transmission & distribution planning System Energy and Load Management 5 Load dispatch criteria
6 Approach to Load Research Metered Data Billing/Sales Records Bottom-up Approach End-use Data End-use Load Profiles Segment Load Profiles Sector Load Profiles System Load Profiles μ x 2 σ 2 x 6 Survey Data Substation, Generation Data
7 Components of Load Research Customer surveys Analysis of survey data & development of end-use load profiles Metering of consumption patterns of identified customers Analysis of metered data and development of segment load profiles Analysis of annual sales data & development of sector load profiles Collection and analysis of GSS/feeder data Collection & analysis of Primary substation data 7 Development of system load profiles
8 :00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 Demand (MW) 21:00 22:00 23:00 24:00 System Profile: Region 1 Average Load Factor = 57% Average Peak on a Typical Peakday = 252MW Contribution to System Peak = 19% Average Peak on a Typical Weekday = 241MW Contribution to System Energy = 24% Average Peak on a Typical Weekend = 223MW 300 Peakday Weekday Weekend Typical Peakday Typical Weekday Typical Weekend Typical Average Shapes) Typical Average Shapes)
9 Region System by Sector (Typical Weekday) Total Sale Total Supply Contribution to Peak (at 8:00 pm) LECO Distribution utility 39.6% 34.6% 32.7% Bulk 29.2% 25.5% 12.6% Domestic 23.6% 20.5% 33.3% Small C&I (Inc. Religious) 06.5% 05.7% 04.3% Losses* N/A 11.6% 15.1% Street Lighting 01.1% 01.0% 02.0% Load (MW) :00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 *Distribution Losses (Technical & Non-Technical) 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00
10 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24: Domestic by Segment (Typical Weekday) % Population % kwh % Contib to % Contrib to System Peak Sector PeaK Domestic Small (1-90 kwh/month) Domestic Medium ( kwh/month) Domestic High (>180 kwh/month) Load (MW) Region 1 Region 1
11 Region 1 Load (MW) Domestic Whole by End-Use (Typical Weekday) Lighting Fan Air Conditioners Electric Cooking Storage Heater TV Refrigerator Misc (Base) % Sector kwh % System kwh Contrib to System Peak Lighting 35.9% 07.1% 19.4% TV 15.1% 03.0% 06.5% Refrigeration 14.1% 02.8% 01.7% Fan (Ventilation) 17.3% 03.4% 03.7% :00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00
12 Domestic Small by End-use (Typical Weekday) % Segment kwh % Sector kwh Contrib to Sector Peak Region 1 Load (MW) Lighting 41.0% 15.6% 29.2% TV 23.6% 09.0% 12.4% Refrigeration 12.1% 04.6% 02.0% Fan (Ventilation) 13.6% 05.2% 05.0% Lighting Fan Air Conditioners Electric Cooking Storage Heater TV Refrigerator Misc (Base) :00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00
13 Region 1 Load (MW) Domestic Medium by End-Use (Typical Weekday) % Segment kwh % Sector kwh Contrib to Sector Peak Lighting 34.4% 12.9% 18.4% TV 11.1% 04.2% 05.0% Refrigeration 17.0% 06.4% 02.0% Fan (Ventilation) 20.0% 07.5% 03.8% Lighting Fan Air Conditioners Electric Cooking Storage Heater TV Refrigerator Misc (Base) :00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00
14 Domestic Large by End-use (Typical Weekday) % Segment kwh % Sector kwh Contrib to Sector Peak Region 1 Load (MW) Lighting 30.4% 07.4% 09.8% TV 08.1% 02.0% 01.9% Refrigeration 12.8% 03.1% 01.1% Fan (Ventilation) 18.9% 04.6% 02.2% Lighting Fan Air Conditioners Electric Cooking Storage Heater TV Refrigerator Misc (Base) :00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00
15 15 Domestic Lighting by Technology (Typical Weekday) % Sector kwh % System kwh Contrib to System Peak Incandescent 27.0% 05.3% 15.2% Fluorescent 08.2% 01.7% 03.8% CFL 00.8% 00.2% 00.4% Region 1 Region 1 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00 Load (MW)
16 System Profile: Colombo :00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00 Typical Average Shapes) Demand (MW) Average Load Factor = 56% Average Peak on a Typical Peakday = 186 MW (at 11:00 a.m) Contribution to System Peak = 11% Average Peak on a Typical Weekday = 166 MW (at 11:00 a.m) Contribution to System Energy = 16% Average Peak on a Typical Weekend = 120 MW (at 08:00 p.m) Contribution to Day Peak = 21% Peakday Weekday Weekend 16
17 System by Sector (Typical Weekday) Total Sale Total Supply Contribution to Peak Colombo Bulk 50.1% 42.5% 54.5% (at 11:00 a.m.) Domestic 25.8% 21.9% 27.3% (at 08:00 p.m.) Small C&I (Inc. Religious) 22.6% 19.2% 23.2% (at 11:00 a.m.) Losses* N/A 11.1% 13.2% (at 11:00 a.m.) Street Lighting 01.4% 01.2% 00.1% (at 11:00 a.m.) Load (MW) :00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 *Distribution Losses (Technical & Non-Technical) 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00
18 18 DSM Options Suitability by Region Top 3 General CFL HFL Domestic Refrigerator Efficient Fans HE Motors & VSD Commercial A/C EEB Code TOU Tariffs Tariff Restructure Region 1 Region 2 Region 3 Region 4 Colombo
19 EE Lighting Project: Goals Short-term: Reduce night peak Reduce impact from power crisis in Reduce high thermal costs to the utility. Long-term: Reduce long-term demand increase. Improve load factor. Reduce investment on infrastructure. Improve reliability & reduce system loss. 19
20 Retail Sector Lighting by Technology Incandescent 27.0% Fluorescent 08.2% CFL 00.8% (Typical Weekday) % Sector kwh % System kwh Corib to System Peak Load (MW) 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00
21 EE Lighting Project Technologies Available/Selected Compact fluorescent lamps with integral ballasts: electronic & magnetic ballast. Compact fluorescent lamps, modular type. Linear fluorescent lamps. Technology selected: CFL with integral ballasts: electronic & magnetic 21
22 CFL program: Main features 22 Financing: An interest free loan to purchase lamps from utility. Government grants an import duty wavier. Loan repayment in 12 installments with electricity bills. Other features: Marketed by listed suppliers in a competitive environment. Quality standards for lamps. Compulsory 2 year warranty. Independent testing arranged for supplier registration.
23 EE lighting program: Total benefits: end 2000 Number of lamps purchased = 261,000 Number of lamps purchased by free riders due to increased publicity = 1,235,000 Savings: Demand Saving = 74 MW Energy Saving = 110 GWh/annum 23 Cost effectiveness: Reduced supply costs = Rs. 650 Million/annum Customer bill savings = Rs. 456 Million/annum Program costs = Rs. 18 Million/annum Net Benefit to the Utility = Rs. 176 Mil/annum
24 EE lighting program Further improvements 24 Further reduction in prices. Lamp + control gear standards & labeling. Lamp + control gear testing facility to be established. New programs to grant lamps with new connections. A concession for customers in defined poverty levels.
25 Demand (MW) 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24: Existing load curve Modified load curve Improved System Profile
26 Implication of DSM on Load Factor Regional 1 Load Factor 80% 70% 60% 50% 40% 30% 20% 10% 0% 0.0% 2.0% 4.0% 6.0% 8.0% % Reduction in Evening Peak 26
27 Green Building (LEED) Certification and Lighting Daylighting + With LEDs!!!!!!!! 27
28 Case studies. BRANDIX CASUALWEAR, SEEDUWA CKT APPAREL, AGALAWATHTHA 28 VTA SCHOOL, AHANGAMA VTA SCHOOL, SAMANTHURAI
29 References CEB load research 1996/8 CEB DSM initiatives
30 END An EnergySolve Presentation April 2009
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