Valuation of distributed energy resources based on consumption data
Abstract/Contents
- Abstract
- The electric grid is undergoing fundamental changes. The most well known is taking place at the central nodes of the grid, where new utility scale solar and wind generation plants are increasing the share of energy produced by renewable and intermittent sources. An equally profound though less mature transformation is underway at the peripheral nodes of the grid with the increasing adoption by residential consumers of distributed energy resources (DERs) like rooftop solar, energy storage, and electric vehicles. Whether solar and storage technologies make the leap from eager, early adopters to a mass presence will be determined by how well they align with the needs of residential consumers. This study develops models for the drivers and impacts of widespread adoption of rooftop solar and storage in the residential sector. We take the electricity consumption history of households, as recorded by their smart meters, as the best measure of their primary needs and wants. In the first section of this study, we characterize the effect of pricing policies on the distribution of household electricity cost savings from net-zero sized solar and storage technologies under time-varying prices. We also model and estimate the additional value that coordination services that aggregate resources can provide to households. In the second section, we develop a model for a peer-to-peer rental market for rooftop solar and energy storage. The market rental price, quantity, and participation rate are characterized for varying levels of DER adoption. We find that direct subsidies are a cheaper way to increase adoption if enabling the peer-to-peer market increases distribution grid costs by more than a few percent. In the third and final section, we develop a method to quantify the resilience value that rooftop solar can provide to residential neighborhoods in the aftermath of natural disasters. As a case study, we apply this method to single family homes in San Carlos subjected to an earthquake based on the 1906 San Francisco event. We evaluate the cost and effect of a policy intervention to ensure more geographically uniform resilience, finding that a relatively small nudge can have a significant impact on improving resilience for all households.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2019; ©2019 |
| Publication date | 2019; 2019 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Patel, Siddharth Rameshbhai |
|---|---|
| Degree supervisor | Rajagopal, Ram |
| Thesis advisor | Rajagopal, Ram |
| Thesis advisor | Kiremidjian, Anne S. (Anne Setian) |
| Thesis advisor | Majumdar, Arunava |
| Degree committee member | Kiremidjian, Anne S. (Anne Setian) |
| Degree committee member | Majumdar, Arunava |
| Associated with | Stanford University, Civil & Environmental Engineering Department. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Siddharth Rameshbhai Patel. |
|---|---|
| Note | Submitted to the Civil & Environmental Engineering Department. |
| Thesis | Thesis Ph.D. Stanford University 2019. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2019 by Siddharth Rameshbhai Patel
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...