Thesis (Ph. D.)--Ohio University, November, 1991. / Title from PDF t.p.

No description available.

Thesis (M.S.)--Ohio University, November, 1989. / Title from PDF t.p.

Thesis (M.S.)--University of Wisconsin--Madison, 1962. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaf 102)

M.Ing. (Electrical and Electronic Engineering) / Please refer to full text to view abstract.

published_or_final_version / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy

Wind power generation has experienced an explosive growth worldwide. It is a promising renewable energy source to countries that are short of fossil fuels, e.g. China. While wind power is a distinctive direction to go for, it is still necessary to examine the rationale behind such investing mania, and this thesis analyzes the issue by collectively investment modeling. For investment analysis, it is necessary to first identify the relevant market background before inferring to any analytical model. Chapter 2 identifies a number of wind power investment scenarios in accordance to modern electricity market regime, primarily American and European structures. Among them, two main scenarios are investigated and modeled subsequently: fixed tariff wind power project invested by independent power producer and wind power project undertaken by utility. It has to be emphasized that different market scenarios would lead to different modeling methodologies for best representing the reality. Wind power is intermittent and uncertain. One way to describe the probabilistic energy production is by statistical characterization of wind power in a period of time. Chapter 3 presents a standalone analytical model of the wind power probability distribution and its higher order statistics. Large-scale deployment of wind power would influence power system in unprecedented ways. High penetration wind power poses a need of refinement to existing methodologies on production costing and reliability evaluation. The applications of the probabilistic wind power model to these topics are outlined in this chapter. In Chapter 4, investment of fixed tariff wind power project is analyzed. Operation of wind farm is very passive and as long as wind keeps blowing, such wind power investment has minimal risk in annual revenue. The low-risk profile facilitates debt financing. This leads to the attempt to manipulate the project capital structure to maximize the project levered value. Yet the default probability is raised and associated with a subjective value of default probability there is a value-at-risk debt level. I therefore propose an optimization formulation to maximize the wind power project valuation with debt as decision variable subject to the value-at-risk debt constraint. Apart from independent wind power producers, many policy and market factors driving wind power development are actually put on the utility side, e.g. Renewable Portfolio Standard (Renewable Energy Target) in U.S. (Europe) and Green Power Programs. It implies that utility has to have wind power (or other renewable) capacity ready by a certain date. In practice, utility may take action earlier if conditions are favorable or optimal. The conditions considered here are fossil fuel prices or in more general setting, electricity contract prices. Define the total fuel cost saving from conventional units as the benefit of wind power. If fuel prices are high enough, substituting load demand by wind energy is profitable, vice versa. The investment decision is analogous to premature exercising of an American option, in which the wind power project is modeled as real option. Chapter 5 offers detailed formulation of this idea. / published_or_final_version / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy

Thesis (PhD) - Institute for Social Research, Swinburne University of Technology, 2005. / Thesis submitted in fulfillment of the requirements of the degree of Doctor of Philosophy, Institute for Social Research, Swinburne University of Technology, 2005. Typescript. Bibliography: p. 188-207.

Thesis (Ph. D.)--Washington State University, May 2009. / Title from PDF title page (viewed on Apr. 19, 2010). "College of Engineering and Architecture." Includes bibliographical references (p. 113-116).

Thesis (Ph. D.)--University of Hawaii, 1989. / Includes bibliographical references (leaves 138-147).