Skip navigation
Please use this identifier to cite or link to this item:
Title: A Dynamic Programming Model For Simulating Demand Response and Renewable Energy
Authors: Carthy, Alexandra
Advisors: Powell, Warren
Department: Operations Research and Financial Engineering
Class Year: 2016
Abstract: The purpose of this thesis is to address unsustainable growth in electricity demand. This thesis examines industries and particular firms to identify energy consuming processes to manipulate for real-world demand response. Using dynamic programming to mathematically model temperature control demand response identifies the optimal policy for cost-minimization. Leveraging this model and statistical models of solar power and electricity pricing simulates potential future energy consumption patterns for this particular process. This thesis illustrates that pursuing demand response integrated with renewable energy, in the specific case of temperature control and solar power, produces a combined cost-minimizing strategy with a lower volatility than that of either independent process.
Extent: 87 pages
Type of Material: Princeton University Senior Theses
Language: en_US
Appears in Collections:Operations Research and Financial Engineering, 2000-2017

Files in This Item:
File SizeFormat 
CarthyNatalie_final_thesis.pdf8.73 MBAdobe PDF    Request a copy

Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.