This project will investigate the relative financial benefit of adding different types of power generating resources to the BC Hydro energy portfolio over time. The analysis will consider various drivers of financial risk that influence this evaluation such as commodity prices, energy demand, and water inflows. Appropriate measures of risk will be considered to aid in evaluating the comparison of alternate resource additions. A spreadsheet model will be constructed to complete the analysis.
Semiconductor materials are essential for today’s fast growing electro-optic and computer industries and semiconductor crystal growth is a key stage in the manufacturing process. There is constant market pressure to increase the size and quality of crystals so that more and better devices can be put on a single wafer. The most widely used crystal growth technique is the Czochralski (Cz) method, in which a semiconductor crystal is grown at the tip of a seed-crystal while the seed is slowly extracted from a pool of molten material.
The partner company, ENMAX Energy Corporation, is a leading electricity and natural gas supplier in Alberta. Modern techniques from stochastic processes and numerical analysis are widely used in energy risk management and trading. The intern research project involved the development of an optimal portfolio of products in the energy industry as well as the study of the pricing of new forms of contracts for energy products. In addition, stochastic dynamic programming techniques were applied to investigate optimal portfolios.