Essays on energy management and public health
Abstract/Contents
- Abstract
- Energy management is concerned with the planning and operation of energy production and energy consumption units. This dissertation focuses on energy management problems for EV rental fleet charging and wastewater treatment plants, with the goal of minimizing energy costs in response to time-varying energy pricing schemes and/or minimizing CO2 emissions. In the EV rental fleet charging setting, we study the non-preemptive EV fleet charging control problem in order to minimize the total energy cost under hourly energy pricing schemes. This has not been addressed by previous literature. The optimal charging policy is derived in closed-form and can be implemented as a computationally efficient algorithm. Our simulation results show that our proposed charging algorithm reduces the electricity cost by 40% compared to the current charging patterns of an average California EV under hourly energy pricing schemes. Energy management issues for the wastewater treatment industry are a relatively new subject for the operations research community. We develop an analytical framework for optimal timing of the flow-control demand response approach to minimize energy cost and CO2 emissions respectively and characterize the optimal policies in detail. Our case study suggests that the optimization techniques in our paper can reduce 11% of wastewater treatment net energy cost and 9% of the related CO2 emissions via the flow-control demand response approach. This thesis also includes a third project related to public health. In particular, we develop a generalizable mathematical model to help public health departments working with housing departments to determine the cost and cost-effectiveness of affordable housing programs, in terms of secondary health benefits.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2016 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Ma, Jing |
|---|---|
| Associated with | Stanford University, Department of Management Science and Engineering. |
| Primary advisor | Plambeck, Erica L |
| Primary advisor | Rajagopal, Ram |
| Thesis advisor | Plambeck, Erica L |
| Thesis advisor | Rajagopal, Ram |
| Thesis advisor | Hausman, Warren H |
| Advisor | Hausman, Warren H |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Jing Ma. |
|---|---|
| Note | Submitted to the Department of Management Science and Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Jing Ma
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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