Sustainable Operations of Production and Service with Onsite Renewables Integration
type: CreativeWork
description: In this dissertation, we propose an approach to support sustainable operations management processes to improve the energy efficiency of manufacturing and service systems. The proposed framework finds the proper management scheme considering onsite renewable energy sources. The impact of integrating cleaner energy technologies is an increase in the renewables share of the electricity generation from the demand side and a reduction of the systems' environmental footprint. In particular, we apply techniques of optimization under uncertainty to determine the optimal operation of manufacturing and service systems with onsite renewables integration. Considering that each system in which onsite renewable energy sources have been installed can be considered as a microgrid, we discuss the operation of microgrids in general and specific types of microgrids in particular, with the three major objectives discussed in the following. First, we study the operation of a microgrid with renewable generators, energy storage systems, and power exchanges with the main power grid. These operations include unit commitment of generators within the microgrid, islanding, power transactions between the microgrid and the main grid, dynamics of the energy storage system, and line switching within the microgrid. Second, we study the integration of renewable energy sources for manufacturing and service systems, as well as its impact on their processes: (i) We obtain the schedule for a single-item production process consisting of consecutive stages of a manufacturing facility, adapted to match the onsite renewables supply. (ii) We find the optimal job migration, assignment and processing schedule for a network of interconnected data centers operating under an emissions cap and trade system. (iii) We determine the lighting system schedule for a controlled environment vertical farm, in which the environmental variables are artificially managed to improve the efficiency of the growing process. We ass…
abstract: In this dissertation, we propose an approach to support sustainable operations management processes to improve the energy efficiency of manufacturing and service systems. The proposed framework finds the proper management scheme considering onsite renewable energy sources. The impact of integrating cleaner energy technologies is an increase in the renewables share of the electricity generation from the demand side and a reduction of the systems' environmental footprint. In particular, we apply techniques of optimization under uncertainty to determine the optimal operation of manufacturing and service systems with onsite renewables integration. Considering that each system in which onsite renewable energy sources have been installed can be considered as a microgrid, we discuss the operation of microgrids in general and specific types of microgrids in particular, with the three major objectives discussed in the following. First, we study the operation of a microgrid with renewable generators, energy storage systems, and power exchanges with the main power grid. These operations include unit commitment of generators within the microgrid, islanding, power transactions between the microgrid and the main grid, dynamics of the energy storage system, and line switching within the microgrid. Second, we study the integration of renewable energy sources for manufacturing and service systems, as well as its impact on their processes: (i) We obtain the schedule for a single-item production process consisting of consecutive stages of a manufacturing facility, adapted to match the onsite renewables supply. (ii) We find the optimal job migration, assignment and processing schedule for a network of interconnected data centers operating under an emissions cap and trade system. (iii) We determine the lighting system schedule for a controlled environment vertical farm, in which the environmental variables are artificially managed to improve the efficiency of the growing process. We ass…
author: Ruiz Duarte, Jose L.
language: en
keywords: Energy Management, Onsite Renewables, Optimization, Sustainable Operations
date published: 2020
date modified: 2026-07-24T00:57:22Z
provider: University of Arizona
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: The University of Arizona.

PropertyValue
property ID: Handle
value: http://hdl.handle.net/10150/641750