H. Ganesh

Document Type

Thesis - Open Access

Award Date

1972

Degree Name

Master of Science (MS)

Department / School

Electrical Engineering

Abstract

Electric heating of buildings and houses is becoming more and more competitive with conventional heating methods. A survey in the magazine, "Electrical World," indicates 29 million houses will be electrically heated by 1980 in USA. Ease of control, flexibility in operation, competitive tariff rates of electrical energy, and cleanliness are some of the major factors responsible for this new trend. Under certain special circumstances, even if electrical energy is more expensive, it may be preferred to conventional heating methods due to the above listed advantages. Because of these trends, electric utility companies involved in electric heating of buildings are faced with the problem of estimating operating costs and the capacity of the heating equipment in KW (Kilowatts). Cost estimation and heating system planning is a very attractive service supplied to the customers and the heating system requirements may be altered and readjusted several times before the final heating scheme is decided upon. This may not be a difficult matter to deal with for one or two customers, especially when time is not important and the heating requirements are not complex, but if one has to deal with several customers, it is very desirable and often a necessity to have some computational aid to assist in quickly preparing and/or presenting such an estimate. This can save valuable time by freeing the people concerned from the drudgery of repeated hand computations and thereby producing an ultimate saving in the cost of preparation of estimates. This thesis originates from the interest shown by an electrical utility, H & D Electric Company, Clear Lake, South Dakota, for a computational aid to assist them in the preparation of cost estimates and KW requirements for electric heating of buildings. With very minor adjustments in the calibration, the computing device discussed in this thesis can also be used in preparing similar estimates for air conditioning. However, this aspect has not been explored in this work.

Library of Congress Subject Headings

Electrical heating
Electronic digital computers

Format

application/pdf

Number of Pages

78

Publisher

South Dakota State University

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