Optimization of Thermal Energy Storage Sizing Using Thermodynamic Analysis

The aim of this thesis is to examine the effect that Thermal Energy Storage (TES) sizing has on a building’s ability to meet heating and cooling demands in an energy and cost efficient manner. The focus of the research is the quantification the effects of TES for system sizing and boiler cycling. Re...

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Main Author: Villanueva, Andrew
Format: Others
Published: ScholarWorks@UMass Amherst 2020
Subjects:
Online Access:https://scholarworks.umass.edu/masters_theses_2/951
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=2008&context=masters_theses_2
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spelling ndltd-UMASS-oai-scholarworks.umass.edu-masters_theses_2-20082021-09-09T17:23:30Z Optimization of Thermal Energy Storage Sizing Using Thermodynamic Analysis Villanueva, Andrew The aim of this thesis is to examine the effect that Thermal Energy Storage (TES) sizing has on a building’s ability to meet heating and cooling demands in an energy and cost efficient manner. The focus of the research is the quantification the effects of TES for system sizing and boiler cycling. Research is accomplished by modelling TES systems with various storage capacities using thermodynamic analysis. Energy costs are subject to increase during peak usage periods due to a limited supply of energy. Peak heating and cooling periods also force thermal systems to be sized for loads that are only experienced for a small fraction of the year leading to poor efficiencies and frequent cycling during off peak times of year. TES introduces the capability to mitigate this issue by shifting peak thermal loads from one period to another, theoretically reducing the minimum necessary boiler or chiller capacity for a given system and potentially improving the efficiency of 4 thermal systems. The scope of this research is to model the operation of thermal systems with varying storage capacities in order to quantify these capabilities with respect to capacity and cycling. This is accomplished with modelling in Transient Systems Simulation Program (TRNSYS). In this software, a simple heating loop and cooling loop are independently considered and subjected to hourly load data extrapolated from heating and cooling load data originating from a retirement community in Massachusetts. The model built is intended to be robust enough to be easily applied and adapted to assess similar problems with energy storage capacity sizing. 2020-08-27T19:49:37Z text application/pdf https://scholarworks.umass.edu/masters_theses_2/951 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=2008&context=masters_theses_2 Masters Theses ScholarWorks@UMass Amherst Energy Storage Thermodynamic Simulation Heating Cooling Construction Engineering Energy Systems
collection NDLTD
format Others
sources NDLTD
topic Energy Storage Thermodynamic Simulation Heating Cooling
Construction Engineering
Energy Systems
spellingShingle Energy Storage Thermodynamic Simulation Heating Cooling
Construction Engineering
Energy Systems
Villanueva, Andrew
Optimization of Thermal Energy Storage Sizing Using Thermodynamic Analysis
description The aim of this thesis is to examine the effect that Thermal Energy Storage (TES) sizing has on a building’s ability to meet heating and cooling demands in an energy and cost efficient manner. The focus of the research is the quantification the effects of TES for system sizing and boiler cycling. Research is accomplished by modelling TES systems with various storage capacities using thermodynamic analysis. Energy costs are subject to increase during peak usage periods due to a limited supply of energy. Peak heating and cooling periods also force thermal systems to be sized for loads that are only experienced for a small fraction of the year leading to poor efficiencies and frequent cycling during off peak times of year. TES introduces the capability to mitigate this issue by shifting peak thermal loads from one period to another, theoretically reducing the minimum necessary boiler or chiller capacity for a given system and potentially improving the efficiency of 4 thermal systems. The scope of this research is to model the operation of thermal systems with varying storage capacities in order to quantify these capabilities with respect to capacity and cycling. This is accomplished with modelling in Transient Systems Simulation Program (TRNSYS). In this software, a simple heating loop and cooling loop are independently considered and subjected to hourly load data extrapolated from heating and cooling load data originating from a retirement community in Massachusetts. The model built is intended to be robust enough to be easily applied and adapted to assess similar problems with energy storage capacity sizing.
author Villanueva, Andrew
author_facet Villanueva, Andrew
author_sort Villanueva, Andrew
title Optimization of Thermal Energy Storage Sizing Using Thermodynamic Analysis
title_short Optimization of Thermal Energy Storage Sizing Using Thermodynamic Analysis
title_full Optimization of Thermal Energy Storage Sizing Using Thermodynamic Analysis
title_fullStr Optimization of Thermal Energy Storage Sizing Using Thermodynamic Analysis
title_full_unstemmed Optimization of Thermal Energy Storage Sizing Using Thermodynamic Analysis
title_sort optimization of thermal energy storage sizing using thermodynamic analysis
publisher ScholarWorks@UMass Amherst
publishDate 2020
url https://scholarworks.umass.edu/masters_theses_2/951
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=2008&context=masters_theses_2
work_keys_str_mv AT villanuevaandrew optimizationofthermalenergystoragesizingusingthermodynamicanalysis
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