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Energy Statistics

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Title: Energy Statistics


1
Energy Statistics BhutanStatistics and
Forecast Products Recommendation
  • Mark Rodekohr and Workshop Participants
  • (Based on an earlier presentation by Dechen
    Wangmo, Bhutan DOE)

Bhutan January 2005 South Asia Regional
Initiative - Energy
2
Importance of Energy Statistics
  • Resource utilization, investment and consumption
    decisions require accurate and timely
    information/data.
  • For the countries of South Asian region, the
    governments need a lot of information for
    planning purpose for example either
    under-building or overbuilding electric
    generation and transmission systems can and have
    had severe economic consequences.
  • Prospective investors need to know about the
    potential size and institutional characteristics
    of energy markets.

3
Who needs data?
  • Government (Central, State, Local Bodies)
  • Existing or potential entities engaged in doing
    business in the sectors.
  • Financial Institutions
  • Investors
  • Academics
  • NGOs / Consultants
  • Media (Journalists due to their ability to
    communicate with the general public)
  • Multilateral/ Bilateral Agencies
  • Energy Bulk Suppliers / Retailers

4
How would they use it?
  • Government Planning for resource utilization,
    investment, tax regulations etc.
  • Business investment, production, pricing
    decisions
  • Foreign Investors, Multilateral Institutions
    Lending
  • Academics research work

5
Bhutan Energy Data Users
  • Planning commission
  • Ministry of Finance-Arrange fund
  • Ministry of Trade Industry-decide export
    import issues
  • Researchers/Consultants
  • Investors
  • Private Firms

6
Bhutan Background
  • Current electricity consumers - Around 36,000
  • Towns electrified - 40
  • Villages electrified - 552
  • Total estimated households - 1,00,000
  • Rural households - Over 65,000
  • Current priority - Rural electrification

7
Status of Transmission Distribution Lines
  • 220 kV - 71 km d/c, 87.69 km s/c
  • 132 kV 262.33 km
  • 66 kV - 234.77 km
  • 33 kV - 248 km
  • 11 kV (OH) - 954 km
  • 11 kV (UG) - 15 km
  • 6.6 kV - 89 km
  • 400/230 V (OH) - 1108 km
  • 400/230 V (UG) - 45 km

8
(No Transcript)
9
Future Power Programme
  • As per Vision 2020 Document
  • Electricity for all.
  • 3000 MW additional hydroelectric power generation
    capacity.

10
9th Five Year Plan(2003-2007)
  • To electrify 15,000 households(for detail info.
    see map-3)
  • Feasibility study for large hydropower plants
  • Punatsangchhu stage II-650 MW
  • Daglai Project-608MW
  • Kolongchhu Project-290MW

11
Bhutan Existing Energy Data
  • Types of energy produced-
  • -Hydroelectric.426.858 MW
  • -Diesel Power..17.078 MW
  • -Solar75 KW
  • Types of energy consumed-
  • -Electricity.Lighting,Cooking heating
  • -BiomassCooking heating
  • -LPG.Cooking lighting
  • -Kerosine..Cooking, lighting heating

12
Bhutan Data Collection
  • Collected at different supply sections
    submitted to Head Quarter for annual
    compilation-Power data book
  • Inaccuracy in data-due to man made errors in
    collection, data entry, defective instruments.

13
Energy Data Analysis
  • Short term forecasting.energy forecast for
    2003-2007 is 12 per annum
  • Bhutan Electricity Authority (BEA) regulates the
    power sector issues

14
Energy Data Checklist
15
Key statistical parameters
  • Resources (by energy types)
  • Production, Import and Export
  • Demand (by consumer categories)
  • Prices
  • Investment
  • Tax related information

16
Availability
  • Dispersed sources.
  • Mostly available in print format. (some priced
    and some non-priced)
  • Availability of current information on the web is
    improving but the lack of a central energy
    statistics agency makes it difficult to find.

17
Example Google Search
18
Action Plan Statistics - Bhutan
  • Identify data needs by different interest groups.
  • Develop standard formats for reporting data.
  • Develop uniform quality standards for data
    collection and publication (this may exist).
  • Coordination among agencies in collecting and
    reporting of data.
  • Move quickly to convert from hard to soft format.
  • Need to build and maintain time series.
  • Regular updates estimation of missing data.

19
Action Plan Produce a Comprehensive Publicly
Available Database (Consider Sri Lanka Example)
20
Action Plan Statistics - Bhutan
  • Develop a comprehensive short-term (1 to 3)
    forecasting system to aid policy makers at all
    levels of government in planning and analysis.
  • Review existing longer term projections for
    accuracy. Make sure projections that are plans
    are clearly labeled as such.

21
Action Plan Regional (SARI)
  • Identify a set of parameters across various
    sectors Oil Gas, Power, Coal
    Non-commercial.
  • Compile data to build time series and update
    these regular basis.
  • Identify nodal institutions to do the exercise.
  • Disseminate through sari web site.
  • This effort could be similar to what the
    International Energy Agency does for its member
    countries.
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