National Electrification Planning for Myanmar (NEP):

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Presentation transcript:

National Electrification Planning for Myanmar (NEP): National Geospatial, Least-Cost Electrification Plan Columbia University, Earth Institute Vijay Modi, Director Edwin Adkins, Presenter Sustainable Engineering Laboratory With thanks to: Resources and Environment Myanmar (Yangon)

Select least-cost technology Approach Objective: Least-cost electrification planning ensures that we maximize the results with limited resources. Sequencing tells where and when to prioritize the work. Approach Collect input data populated places, MV grid lines, and numerous modeling parameters Use algorithm to plan least-cost electrification system grid, mini-grid, off-grid (solar home systems) Plan the sequence of grid roll-out in phases Need work + Populated places Select least-cost technology Plan Roll-Out (5 Phases) Grid lines

Part 1: Methodology

Population Data Sources Ministry of Livestock, Fisheries and Rural Development (DRD) Village Level Population Data, 2001 Ministry of Home Affairs, General Administration Department (GAD) Additional population data for villages, cities and towns (2013) Central Statistical Organization (CSO) Rural and Urban Total Population and growth rates Myanmar Information Management Unit (MIMU) Geo-location of all villages by State (but no population data) When combined these sources provided: 64,000 points for villages 300 points for cities and towns rural and urban growth rates, by year, for each state / region

Important Caveat The source data for populated places has an inherent uncertainty, and the upcoming census data will help improve the modeling results in the future updates. This uncertainty limits the precision of any analysis, and values in this report should be regarded as the best estimates given this underlying data limitation.

Obtaining and Preparing Population Data DRD GAD CSO MIMU Data tables were collected in digital and hardcopy from DRD, GAD, MIMU Population Growth Rates were taken from CSO publication (2011) Together these created one geo-located dataset with villages, towns and cities with population for a common year (2011)

Medium Voltage (MV) grid lines ESE and YESB supplied hundreds of maps in jpeg, pdf and other formats for state, district and township level MV lines. (samples above for Bago) These were geo-referenced and digitized to create GIS files. (Bago Region MV file created by Resources and Environment Myanmar, Yangon).

Model Parameters ESE provided: Costs for LV (400 V) and MV (11kV, 33 kV) grid lines ~US$20,000-22,000 per km Sizes and costs of generators and transformers used Cost of diesel fuel 4,400 – 4,900 kyat (US$1.10 - 1.22/liter) varying by state Electricity demands for residential sector (households) 1,000 kWh per Household, per year Castalia estimated the future “bus-bar” cost of power: 130 kyat (13 US cents) per kWh More than 70 other parameters were obtained from discussion with utilities and local investigation, in some cases compared with international values.

Using software to plan a “least-cost” electricity system Our model receives inputs described previously: Settlements, MV grid lines, and many parameters … and an algorithm estimates demand and all costs (initial and recurring), and identifies which settlements will most cost-effectively be served by different electrification technologies over the long term: grid connection, mini-grids (such as diesel or hybrid) or off-grid (such as solar home systems). Settlements Existing Grid Model Results

Final Step: Sequenced roll-out MV grid extension is divided into 5 equal phases. Sequencing prioritizes new lines that serve the highest demands with the shortest MV line extension. Earlier Phases (1 & 2) reach larger, closely spaced settlements. Later Phases (4 & 5) reach the smallest, most remote settlements.

Part 2: Results for Myanmar

Two-pronged Approach: Grid and Off-grid Rollout Plan Grid extension will reach some states later in grid roll-out, and these connections will cost substantially more per household For those areas where grid will arrive late, an off-grid “pre-electrification” option can provide non-grid electricity service in the short- and medium-term Over the long-term, grid extension is the most cost-effective option for the overwhelming majority of households

Least-Cost Recommendation for 2030 By 2030, the majority is grid connections This will be 7.2 million households Total cost is estimated at US $5.8 billion (US$800 per connection, average) This will be in addition to investments needed for generation & transmission Note: This map shows all settlement points the same size (regardless of population), overstating electrification with non-grid options (mini-grid and off-grid / solar home systems) 20

Number of households (estimated in each state) that will need to be connected Caution: estimates and not primary census data. So +/- 10% variation would be not unexpected

Grid is recommended (long-term) for all but the smallest villages Off-grid (solar home systems) and mini-grids are recommended only for the smallest settlements Number of households per village

Generation Capacity Needs Connections Capacity (MW) State New Proposed Connections Capacity (MW) Ayeyarwady 1,082,000 395 Bago 688,000 251 Chin 112,000 41 Kachin 115,000 42 Kayah 27,000 10 Kayin 379,000 139 Magway 811,000 296 Mandalay 722,000 264 Mon 258,000 94 Nyapitaw 98,000 36 Rakhine 977,000 357 Sagaing 909,000 332 Shan 504,000 184 Tanintharyi 325,000 119 Yangon 208,000 76 Total 7,216,000 2,636 2.5-3.0 GW of new generation capacity will be needed only for modest, residential needs More will certainly be needed for commercial, industrial, and other demands. This is approximately doubling current generation (~2.7 GW)

Medium-Voltage (MV) Extension The amount of new MV line needed varies greatly by state / region. Shan state is estimated to need the most new MV line overall and the most per household.

2) Grid extension will reach some states later in grid roll-out, and these connections will cost substantially more per household (This applies primarily to Chin, Shan, Kachin and Kayah, and to a lesser extent Kayin, Sagaing, Tanintharyi.)

Recommended sequencing of Grid Roll-out proceeds from low-cost to high-cost connections Dense areas require less MV per connection and will be connected first Remote communities require more and will be connected later Chin, Shan, Kachin and Kayah have highest cost per connection, thus to be connected in the final phases Connected earlier Connected later

MV Line Cost Rises Dramatically in the Final Phase Phasing by equal MV distance Grid roll-out has five phases, each with equal MV distance. Most households will be connected in the initial phases at lower cost per connection. In later phases, as grid reaches remote communities, the length of MV line needed per household increases. The MV line investment rises dramatically in Phase 5 raising connection costs as well.

The most MV line per household, and the highest costs of grid extension, are estimated in 4 states: Chin, Kachin, Kayah, Shan (and somewhat in Kayin, Sagaing and Tanintharyi) Meters MV per HH

3) For those areas where grid will arrive late, a “pre-electrification” option can provide non-grid electricity service in the short term

“Off-grid Pre-electrification”: the need Remote areas will be reached in the latest phases (perhaps waiting for 10-15 years) Other technologies can meet needs in the short term. We call this “pre-electrification” Pre-electrification options would be lower service standards for basic needs Initial costs are lower than grid (~20-50% less) More important, roll-out would be faster

Recommendations for a Off-grid, Pre-electrification Plan Consider the last 3-4% of settlements for pre-electrification -- 5,000 communities -- 250,000 households Pre-electrification communities shown in purple Shan, Chin, Kayah and Kachin States represent major areas for pre-electrification Which system is best (solar home system versus mini-grid) depends on the size of the settlement

Important Caveat The issue of how many households and communities should be targeted for “pre-electrification” is more of a policy decision than a technical decision. The technical geo-spatial analysis presented here describes how costs increase for electrification of communities due to high MV costs per household. However, it does not determine the cost limit above which households should be targeted for “pre-electrification” rather than grid.

“Pre-electrification” Technology Options Solar home systems for smaller settlements (<50 HHs) may provide 75-175 kWh/yr for lighting/ICT/TV US $400-500 / household system (These are international prices. Local prices may be lower, and quality can vary.) Mini-grids solar, hybrid, diesel, or micro-hydro where available typically best for larger settlements (>50 HHs) 200-250 kWh/yr : lighting/ICT/TV & fan/small fridge US$1,400/HH Cost is somewhat high, but saves on distribution investment later if built to grid standard

Number of households per village One pre-electrification option-- targeting 250,000 HHs in the first 10 years Number of households per village Solar home systems for ~95,000 HHs in small villages (<50 HHs) Mini-grids for ~155,000 HHs in larger villages (>50 HHs)

250,000 “pre-electrification” households by State / Region

Pre-electrification Cost summary   250K Households targeted for SHS 93,000 Total Initial Costs $47,500,000 HHs targeted for mini-grids 156,000 $219,000,000 Grand Total: Households 250,000 Grand Total: Costs $266,500,000 Overall Ave per HH Costs $1,070 comments: round numbers to million $.