Graduation Semester and Year

2023

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Industrial Engineering

Department

Industrial and Manufacturing Systems Engineering

First Advisor

Victoria Chen

Second Advisor

Jay Rosenberger

Abstract

ABSTRACT: Due to the current trend of rising energy demand, finding alternate energy sources is vital. Many cities consider renewable energy as a component of a sustainable future. Typically, organic wastes are considered renewable energy sources. Wastes can be converted to proper energy forms using waste-to-energy technologies. On the other hand, more renewable energy sources in the power system may increase energy market stochasticity, alter system operation, and pose new problems for the current supply and demand equilibrium, which consequently requires new control methods. Hence, taking into account the issues mentioned above, in this research, we address organic waste conversion to renewable energy and demand response planning for supply-demand balance management. In this research, we present a mixed integer program with a quadratic cost term (MIQP) to optimize the location of anaerobic digestion facilities, the construction of new digesters, and the transportation of organic waste to these facilities. Moreover, this study introduces a bi-level demand response optimization problem using the concepts of approximate dynamic programming. The main objective of this problem is to reduce DR operational costs in the residential sector.

Keywords

Waste-to-Energy (WTE), Optimization, MIQP, Anaerobic digestion, Facility location, Demand response, Approximate dynamic programming

Disciplines

Engineering | Operations Research, Systems Engineering and Industrial Engineering

Comments

Degree granted by The University of Texas at Arlington

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Available for download on Friday, August 01, 2025

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