Degree Type


Date of Award


Degree Name

Master of Science


Mechanical Engineering

First Advisor

Ron M. Nelson


Finite supply and increasing demand characterize our modern energy landscape. Pressure from growing populations, increasing standards of living, and industrializing nations has continued to push energy demand upward. Our societies preferred energy sources are based on fossil fuels that have a finite supply. Although debate continues over the remaining levels of fossil fuel supply it is widely agreed that the sources that are easy to collect are reducing. With the easy to reach sources already in production, sources once thought to be not economically viable due to extreme environments and low-quality or diluted energy are being explored. In the case of the Athabasca oil sands in Alberta Canada, new processes have been developed to extract smaller amounts of oil from larger areas that would have been considered lost in the past.

What is happening on the supply side in the Canadian oil sands is also happening on the demand side with cogeneration (using waste heat in power generation) and diurnal cold storage (capturing cold at night for use in day time space cooling). These are examples of getting useful work from previously discarded (cogeneration), unutilized (oil sands), and under-utilized (cold storage) energy sources.

This thesis focuses on the demand side of the energy equation in residential buildings. Specifically the paper focuses on conversion and use of energy in residential energy systems; space heating, space cooling, water heating, and refrigeration with the goal to reduce domestic energy consumption by sharing resources and combining components.

This research evaluates the feasibility of combining refrigeration and hot water production in a single heat pump system including a steady-state model of a residential vapor-compression refrigerator (heat pump) and energy and exergy analyses. The refrigerant cycle is modeled as steady-state while the cold and hot sink are dynamically modeled. Simulation duration is one day with a time step for dynamic calculations of ten seconds.


Copyright Owner

James Steven Marschalek



Date Available


File Format


File Size

214 pages