A variety of energy models and tools have been used for an comprehensive analysis of the complex energy systems and the design of pathway to sustainable energy world. This thesis analyzes three interesting problems in the electricity sector by developing and using suitable energy models.
Chapter 2 investigates how to incorporate demand responsiveness for policy analysis in the electricity sector using a least-cost model. This study develops its own least-cost model which includes some characteristics for two important policies in the electricity sector, and suggests an iterative approach for incorporating the demand response to price change under new policy. Based on a case study, the state of Georgia, this chapter shows the effects of including demand response on the evaluation of policy. Chapter 3 is about new technology adoption pathways in the electric power system. In this chapter, by investigating the related status of policies and specifications of electric vehicles and wind power technologies in the U.S., several adoption pathways of the technologies in the U.S. eastern interconnection have been developed. This study develops four-serial models for the estimation of future economic and environmental impacts of the technologies' penetration. The results show that the total greenhouse gas emissions of the entire energy system do not substantially decrease even with a high level of electric vehicle adoption. The combination of two technologies, even more with appropriate policies, can notably decrease the total greenhouse gas emissions. Chapter 4 is a study about demand response programs, particularly optional time-based rates, for residential customers. This chapter analyzes the main reason that the participation of the current programs is low even though the programs have benefits. This study investigates two policy tools, a subsidy for flexible residential demand and a shared-savings mechanism based on consumption pattern changes, and examines the implementation of the tools and their potential to overcome the current inefficient operation.
| Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/45883 |
| Date | 06 November 2012 |
| Creators | Choi, Dong Gu |
| Publisher | Georgia Institute of Technology |
| Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
| Detected Language | English |
| Type | Dissertation |
Page generated in 0.0022 seconds