Decision-making model for the selection of appropriate energy technologies in the Caribbean Basin

Thesis/Dissertation · Thu Jan 01 00:00:00 EST 1987

OSTI ID:6374179

Carpenter, K H

This research addressed four main objectives: (1) appropriate technology was investigated in terms of its characteristics and/or criteria: (2) a process-oriented decision-making model was developed which encompassed the selected appropriate technology criteria; (3) test instruments were designed and tested that would determine the social/cultural acceptability of an alternative energy system; and (4) the decision-making model was modified to reflect the results of the instrument application. The test sites selected for the testing of the instruments were a group of islands in the Commonwealth of the Bahamas known as the Abacos. Conclusions of the research were that: (1) perceived need for electricity among the less-developed island was the same as on the more highly developed islands; (2) electricity usage did not vary among the islands; (3) there were no social, cultural, or technological barriers that would preclude the introduction of an alternative energy system; (4) reliability of the data collected on an underdeveloped island was as reliable as the data collected on a more highly developed island, and (5) current criteria of appropriate technology are those identified in UNESCO publication 61 and identified as the criteria to be used in the assessment of technologies for developing countries.

• Research Organization: West Virginia Univ., Morgantown, WV (USA)
• OSTI ID: 6374179
• Resource Relation: Other Information: Thesis (Ph. D.)
• Country of Publication: United States
• Language: English

Related Subjects

29 ENERGY PLANNING
POLICY AND ECONOMY
APPROPRIATE TECHNOLOGY
DECISION MAKING
CARIBBEAN SEA
ENERGY SOURCE DEVELOPMENT
DATA ANALYSIS
ELECTRIC POWER
POWER DEMAND
RELIABILITY
ATLANTIC OCEAN
POWER
SEAS
SURFACE WATERS
290500* - Energy Planning & Policy- Research
Development
Demonstration
& Commercialization
292000 - Energy Planning & Policy- Supply
Demand & Forecasting