Published February 2012 | Version v1
Journal article

Least-cost network evaluation of centralized and decentralized contributions to global electrification

  • 1. School of Industrial and Systems Engineering, Georgia Institute of Technology, 765 Ferst Drive NW, Atlanta, GA 30332-0205 (United States)
  • 2. School of Public Policy, Georgia Institute of Technology, D. M. Smith Building, Room 107, 685 Cherry Street, Atlanta, GA 30332-0345 (United States)

Description

The choice between centralized and decentralized electricity generation is examined for 150 countries as a function of population distribution, electricity consumption, transmission cost, and the cost difference between decentralized and centralized electricity generation. A network algorithm is developed to find the shortest centralized transmission network that spans a given fraction of the population in a country. The least-cost combination of centralized and decentralized electricity that serves the country is determined. Case studies of Botswana, Uganda, and Bangladesh illustrate situations that are more and less suited for decentralized electrification. Specific maps for centralized and decentralized generation are presented to show how the least-cost option varies with the relative costs of centralized and decentralized generation and transmission cost. Centralized and decentralized fractions are calculated for 150 countries. For most of the world's population, centralized electricity is the least-cost option. For a number of countries, particularly in Africa, substantial populations and regions may be most cost-effectively served by decentralized electricity. - Highlights: ► Centralized and decentralized electrification are compared for 150 countries. ► A cost-optimized network algorithm finds the least-cost electrification system. ► Least-cost infrastructures combine centralized and decentralized portions. ► For most people, centralized electricity is cheapest option. ► In much of Africa, decentralized electricity may be cheaper than centralized.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enpol.2011.10.048

Additional details

Identifiers

DOI
10.1016/j.enpol.2011.10.048;
PII
S0301-4215(11)00863-9;

Publishing Information

Journal Title
Energy Policy
Journal Volume
41
Journal Page Range
p. 286-302
ISSN
0301-4215
CODEN
ENPYAC

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
43077032
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ALGORITHMS; BANGLADESH; BOTSWANA; COST; ECONOMIC POLICY; ELECTRICITY; ENERGY POLICY; EVALUATION; HUMAN POPULATIONS; POWER GENERATION; UGANDA
Descriptors DEC
AFRICA; ASIA; DEVELOPING COUNTRIES; GOVERNMENT POLICIES; MATHEMATICAL LOGIC; POPULATIONS

Optional Information

Copyright
Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.