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26 changes: 16 additions & 10 deletions README.md
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# 2020-fairhurst-hydrogen-production
This repository holds:

- data of the fuel consumed by the MTD and UI fleet.
- analysis of the hydrogen required by those fleet to become carbon free.
- information of different methods to produce hydrogen.

# 2020-dotson-optimal-sizing
This repository holds the data analysis, figures, that will lead to quantitative recommendations for the optimal reactor size.

Multiple scenarios will be addressed:
Multiple scenarios will be addressed:

1. The reactor itself is free (significant reduction in capital cost).
1. The reactor itself is free (significant reduction in capital cost).
2. The reactor still has a price tag and higher capital cost.
3. Increasing penetration of variable renewable energy sources.
4. Add grid flexibility in the form of H2 and thermal storage.

## Instructions to Run TEMOA
TEMOA is an open source modeling tool available on [GitHub](https://github.com/TemoaProject/temoa). Follow the installation instructions [here](https://temoacloud.com/download/).
TEMOA is an open source modeling tool available on [GitHub](https://github.com/TemoaProject/temoa). Follow the installation instructions [here](https://temoacloud.com/download/).

After creating a database in sql, navigate to the directory with your database:

Expand All @@ -26,17 +33,17 @@ TEMOA models can be run from the command line, current iterations use the online

## Instructions to Run the Jupyter Notebooks

Generating typical time histories was done by using ``RAVEN`` an open source tool from INL. This repository should be in a folder adjacent to ``raven``. See directory map below for an example.
Generating typical time histories was done by using ``RAVEN`` an open source tool from INL. This repository should be in a folder adjacent to ``raven``. See directory map below for an example.

To install ``RAVEN`` follow the [instructions](https://github.com/idaholab/raven/wiki) from INL.

## Instructions to Obtain the Data

Some of the data has not yet been cleared for publication so a shared link cannot yet be provided.
Shared links for data that is already publicly available have been provided below.
Some of the data has not yet been cleared for publication so a shared link cannot yet be provided.
Shared links for data that is already publicly available have been provided below.

In order to execute the jupyter notebooks the data files should be downloaded to your computer in a folder called
``data`` such that your directories look like:
In order to execute the jupyter notebooks the data files should be downloaded to your computer in a folder called
``data`` such that your directories look like:

``home``<br />
|<br />
Expand All @@ -46,12 +53,11 @@ In order to execute the jupyter notebooks the data files should be downloaded to
|<br />
|--``data``<br />

#### Data:
#### Data:

* [Champaign County (Willard Airport)](https://uofi.box.com/s/gy6nn3vqdbdxnxv073oqyeqpmoeeowkm)
* [Logan County (Lincoln Airport)](https://uofi.box.com/s/3b4498ua7fziof4ex3fu75zfcvio0h1l)
* [UIUC Solar Farm](https://uofi.box.com/s/0tohoujy4zhx7loaxt5m5w5qcocvxmp7)
* [Solar Irradiance (At UIUC Solar Farm)](https://uofi.box.com/s/ee8zq23cfotzpfw3d0txjuazq7raotpw)
* UIUC Steam Demand : Not cleared for public access
* UIUC Electricity Demand : Not cleared for public access

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manuscript = abstract
references = $(wildcard *.bib)
latexopt = -halt-on-error -file-line-error

all: all-via-pdf

all-via-pdf: $(manuscript).tex $(references)
pdflatex $(manuscript).tex --shell-escape
bibtex $(manuscript).aux
pdflatex $(latexopt) $<
pdflatex $(latexopt) $<

all-via-dvi:
latex $(latexopt) $(manuscript)
bibtex $(manuscript).aux
latex $(latexopt) $(manuscript)
latex $(latexopt) $(manuscript)
dvipdf $(manuscript)

epub:
latex $(latexopt) $(manuscript)
bibtex $(manuscript).aux
mk4ht htlatex $(manuscript).tex 'xhtml,charset=utf-8,pmathml' ' -cunihtf -utf8 -cvalidate'
ebook-convert $(manuscript).html $(manuscript).epub

clean:
rm -f *.fls *.pdf *.fdb_latexmk *.glo *.ist *.log *.dvi *.toc *.aux *.gz *.out *.log *.bbl *.blg *.log *.spl *~ *.spl *.zip *.acn *.glo *.ist *.epub

realclean: clean
rm -rf $(manuscript).dvi
rm -f $(manuscript).pdf

%.ps :%.eps
convert $< $@

%.png :%.eps
convert $< $@

zip:
zip paper.zip *.tex *.eps *.bib

.PHONY: all clean
218 changes: 218 additions & 0 deletions ans-abstract/abstract.tex
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\documentclass{anstrans}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\title{Hydrogen Economy in Champaign-Urbana, IL}
\author{Roberto E. Fairhurst Agosta, Samuel G. Dotson, Kathryn D. Huff}

\institute{
University of Illinois at Urbana-Champaign, Dept. of Nuclear, Plasma, and Radiological Engineering\\
[email protected]
}

%%%% packages and definitions (optional)
\usepackage{graphicx} % allows inclusion of graphics
\usepackage{booktabs} % nice rules (thick lines) for tables
\usepackage{microtype} % improves typography for PDF
\usepackage{xspace}
\usepackage{tabularx}
\usepackage{floatrow}
\usepackage{subcaption}
\usepackage{enumitem}
\usepackage{placeins}
\usepackage{amsmath}
\usepackage[acronym,toc]{glossaries}
\include{acros}
\makeglossaries

\usepackage[printwatermark]{xwatermark}
\usepackage{xcolor}
\usepackage{graphicx}
\usepackage{lipsum}

\newcommand{\SN}{S$_N$}
\renewcommand{\vec}[1]{\bm{#1}} %vector is bold italic
\newcommand{\vd}{\bm{\cdot}} % slightly bold vector dot
\newcommand{\grad}{\vec{\nabla}} % gradient
\newcommand{\ud}{\mathop{}\!\mathrm{d}} % upright derivative symbol

\newcolumntype{c}{>{\hsize=.56\hsize}X}
\newcolumntype{b}{>{\hsize=.7\hsize}X}
\newcolumntype{s}{>{\hsize=.74\hsize}X}
\newcolumntype{f}{>{\hsize=.1\hsize}X}
\newcolumntype{a}{>{\hsize=.45\hsize}X}
%\usepackage[pagestyles]{titlesec}
%\titleformat*{\subsection}{\normalfont}
%\titleformat{\section}{\bfseries}{Item \thesection.\ }{0pt}{}

%\newwatermark[allpages,color=gray!50,angle=45,scale=3,xpos=0,ypos=0]{DRAFT}

\begin{document}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Introduction}

Climate change presents a threat that we should address swiftly. Decarbonizing the electric grid through variable renewable energy and nuclear power seems to be a remedy.
Unfortunately, a carbon neutral electric grid will be insufficient to halt climate change because transportation contributes more to \gls{GHG} emissions than electricity.
As seen in Figure \ref{fig:ghg}, transportation produced the most \glspl{GHG} in the US in 2017. Thus, decarbonizing transportation underpins global carbon reduction.
Accordingly, the \gls{UIUC} has committed to the \gls{ICAP} which aims to attain carbon neutrality by 2050 \cite{university_of_illinois_at_urbana-champaign_illlinois_2015}.

\begin{figure}[H]
\centering
\includegraphics[width=0.7\linewidth]{figures/total-ghg-2019-caption.jpg}
\hfill
\caption{Total U.S. GHG Emissions by Economic Sector in 2017 \cite{us_epa_sources_2020}.}
\label{fig:ghg}
\end{figure}

One possible solution to reduce carbon emissions, and even achieve a net zero carbon production, is to develop a hydrogen economy as the state of California is currently doing \cite{brown_economic_2013}.
Although using hydrogen does not produce CO$_2$, any hydrogen production method is only as carbon-free as the source of energy it relies on (electric, heat, or both).
Nuclear reactors present a clean energy option to produce H$_2$.

Micro-reactors are an innovative technology attractive for hydrogen production. Several micro-reactor designs are currently under development in the United States. These reactor concepts have three main features: they are factory fabricated, transportable, and self-regulating. All of the components are fully assembled in a factory and shipped out to the generation site, reducing capital costs and enabling rapid deployment. Simplified design concepts eliminate the need for many specialized operators and maintenance staff. Moreover, they utilize passive safety systems that prevent overheating or meltdown \cite{us-doe_ultimate_2019}.

The purpose of this abstract is to review and evaluate methods of hydrogen production for a hydrogen economy on a campus similar to the \gls{UIUC} campus.
Section \ref{section:hydroprod} presents several methods and Section \ref{method} explains the methodology to calculate the mass of hydrogen required to fuel the \gls{MTD} bus system and a portion of \gls{UIUC} campus fleet service vehicles, as well as the mass of CO$_2$ produced by both fleets.

\section{Hydrogen Production Methods}
\label{section:hydroprod}

Some hydrogen production processes are:
\begin{description}[font=$\bullet$\scshape\bfseries]
\item[] Steam-Methane Reforming \cite{doe_office_of_energy_efficiency_and_renewable_energy_hydrogen_2020}
\item[] Electrolysis \cite{doe_office_of_energy_efficiency_and_renewable_energy_hydrogen_2020}
\item[] Iodine-Sulfur Thermochemical Cycle \cite{cea_gas-cooled_2006}
\item[] Coal Gasification \cite{office_of_energy_efficiency_and_renewable_energy_coal_gas_2020}
\item[] Thermochemical Water Splitting \cite{office_of_energy_efficiency_and_renewable_energy_thermo_water_2020}
\end{description}

The following subsections describe some of these methods.

\subsection{Steam Reforming}

Steam reforming (aka Natural Gas Reforming) is currently the least expensive way to produce hydrogen. This method separates hydrogen atoms from carbon atoms in methane (CH$_4$). This process results in carbon dioxide emissions.
Steam reforming is a mature production process that uses high-temperature steam (700$^{\circ}$C-1000$^{\circ}$C) to produce hydrogen from a methane source. Methane reacts with steam under 3-25 bar pressure in the presence of a catalyst to produce hydrogen, carbon monoxide, and a small portion of carbon dioxide.
The reaction is endothermic and requires the supply of heat to convert methane and water to carbon monoxide and hydrogen gas with the following balance equation \cite{doe_office_of_energy_efficiency_and_renewable_energy_hydrogen_2020},

\begin{align}
CH_4 + H_2O + heat & \rightarrow CO + 3H_2 .
\label{eq:1}
\end{align}

A secondary reaction known as water-gas shift reaction occurs given by the balance equation,
\begin{align}
CO + H_2O & \rightarrow CO_2 + H_2
\label{eq:2}
\end{align}
producing CO$_2$ and more hydrogen.

\subsection{Electrolysis}

Electrolysis uses an electric current to split water into hydrogen and oxygen as shown in Figure \ref{fig:electro}. The reaction takes place in a unit called an electrolyzer. Electrolyzers consist of an anode and a cathode separated by an electrolyte.
A few classes of electrolyzer technologies, distinguished by their materials and functionality, include polymer electrolyte membrane, alkaline, and solid oxide electrolyzers \cite{doe_office_of_energy_efficiency_and_renewable_energy_hydrogen_2020}.

\begin{figure}[H]
\centering
\includegraphics[width=0.55\linewidth]{figures/electrolysis.png}
\hfill
\caption{Production of hydrogen by electrolysis \cite{doe_office_of_energy_efficiency_and_renewable_energy_hydrogen_2020}.}
\label{fig:electro}
\end{figure}

Solid oxide electrolyzers must operate at temperatures high enough for the solid oxide membranes to function properly (about 700$^{\circ}$-800$^{\circ}$C). The use of heat at these elevated temperatures decreases the electricity needed to produce hydrogen from water.
Thermal energy rather than electricity converts water to steam and then the electricity dissociates the water at the cathode to form hydrogen molecules \cite{xu_introduction_2017}.

\subsection{Iodine-Sulfur Thermochemical Cycle}

The most efficient methods operate at considerably high temperatures, typically above 900$^{\circ}$C. Sulfur-based cycles (Figure \ref{fig:isulfur}) use a sulfuric acid dissociation reaction that only works above 870$^{\circ}$C and whose efficiency increases with temperature \cite{cea_gas-cooled_2006}.
The \gls{SI} cycle results the best cycle for coupling to a \gls{HTR} due to its high efficiency. A General Atomics experiment has operated multiple times to produce hydrogen.
The production was at a rate of 75 L/min. A scale-up of the process using a 50 MWth Nuclear Reactor could produce 12000 kg/day of hydrogen \cite{benjamin_russ_sulfur_2009}.
Another example of hydrogen production is by the \gls{NGNP} \cite{macdonald_ngnp_2003} which aims to produce 500 kg/h of H$_2$ by using 50 MWth \cite{cea_gas-cooled_2006}.

\begin{figure}[]
\centering
\includegraphics[width=0.9\linewidth]{figures/iodine-sulfur.png}
\hfill
\caption{Production of hydrogen by iodine-sulfur thermochemical cycle \cite{cea_gas-cooled_2006}.}
\label{fig:isulfur}
\end{figure}

\section{Methodology}
\label{method}

A \gls{GGE} is the amount of fuel that can generate equivalent energy to a gallon of gasoline. One kilogram of hydrogen is equivalent to one gallon of gasoline \cite{doe_office_of_energy_efficiency_and_renewable_energy_hydrogen_2020}.
Burning a gallon of gasoline produces 19.64 lbs of CO$_2$ \cite{us_energy_information_administration_how_2014}.
Similarly, a \gls{DGE} has the same amount of energy as a gallon of diesel. Approximately, a \gls{DGE} is 113\% of a \gls{GGE} \cite{alternative_fuels_data_center_fuel_2014}, then 1.13 kg of hydrogen is equivalent to one gallon of diesel.
A gallon of diesel produces 22.38 lbs of CO$_2$ \cite{us_energy_information_administration_how_2014}.
Table \ref{tab:meth} summarizes this information.

\begin{table}[]
\centering
\caption{\gls{GGE}, \gls{DGE}, and CO$_2$ produced.}
\label{tab:meth}
\begin{tabular}{l|lll}
\hline
& Hydrogen & Gasoline & Diesel \\ \hline
GGE & 1 kg & 1 gallon & 0.88 gallon \\
DGE & 1.13 kg & 1.13 gallon & 1 gallon \\
CO$_2$ produced & - & 19.64 lbs & 22.38 lbs \\ \hline

\end{tabular}
\end{table}

\section{Results}

Figure \ref{fig:mtdfuel} shows the gallons of diesel purchased every day by \gls{MTD} in a year. The data go from July 1st of 2018 to June 30th of 2019 \cite{mtd_irecords_2019}. The calculations assume that MTD consumed the purchased fuel on the same day.
Table \ref{tab:h2req} lists the mass of hydrogen required to supply the \gls{MTD} fleet. Average gallons per day refers to the total amount of fuel consumed in a year averaged in 365 days.

\begin{figure}[H]
\centering
\includegraphics[width=1.05\linewidth]{figures/mtd-fuel-consumption.png}
\hfill
\caption{Diesel gallons consumed each day by \gls{MTD} from July 1, 2018 to June 30, 2019 \cite{mtd_irecords_2019}.}
\label{fig:mtdfuel}
\end{figure}

The \gls{UIUC} fleet includes both passenger and service vehicles \cite{uiuc_institute_for_sustainability_energy_and_environment_increase_2020}. The calculations consider only the portion of the fleet that operates in town and consumes gasoline \cite{uiuc_personnal_communication}. Figure \ref{fig:uiucfuel} presents the daily consumption of unleaded gasoline by the \gls{UIUC} fleet in a year. The data go from January 1st of 2019 to December 31st of 2019. The fleet also uses diesel and ethanol but in smaller proportions that future analysis will take into account.
Table \ref{tab:h2req} summarizes the hydrogen required to supply the \gls{UIUC} fleet based on this accounting.

\begin{figure}[H]
\centering
\includegraphics[width=0.95\linewidth]{figures/uiuc-unleaded.png}
\hfill
\caption{Gasoline gallons consumed each day by the \gls{UIUC} fleet from January 1, 2019 to December 31, 2019 \cite{uiuc_personnal_communication}.}
\label{fig:uiucfuel}
\end{figure}

\begin{table}[H]
\centering
\caption{Hydrogen required and CO$_2$ produced by \gls{MTD} and \gls{UIUC} fleets.}
\label{tab:h2req}
\begin{tabular}{l|rr}
\hline
& \textbf{MTD (Diesel)} & \textbf{UIUC (Gasoline)} \\ \hline
Daily (gal/day) & 1,971.8 & 251.8 \\
Annual (gal/year) & 719,717.6 & 91,925.1 \\
CO$_2$ (lbs/day) & 44,129.5 & 4,945.3 \\
CO$_2$ (lbs/year) & 16,107,279.9 & 1,805,408.9 \\ \hline
& \textbf{MTD ($H_2$)} & \textbf{UIUC ($H_2$)} \\ \hline
Daily H$_2$ (kg/day) & 2,228.2 & 251.8 \\
Annual H$_2$ (kg/year) & 813,280.9 & 91,925.1 \\\hline
\end{tabular}
\end{table}

Table \ref{tab:h2req} also shows the CO$_2$ emitted by \gls{MTD} and UIUC fleets.
Combined, these fleets would consume 2480 kg/day of H$_2$.

\section{Conclusion}

\gls{MTD} and \gls{UIUC} fleets combined emit around 9 thousand tons of CO$_2$ per year in Champaign-Urbana. This has negative effects on the environment and intensifies climate change. The University of Illinois is leading by example and actively working to reduce \gls{GHG} emissions on its campus. Switching to a hydrogen economy could be the answer to reducing CO$_2$ from transportation.

Nuclear energy could contribute as well. Some energy sources are not entirely emissions free. A 10 MWth micro-reactor would ease the CO$_2$ emissions on campus by generating energy for H$_2$ production regardless of weather conditions (in contrast with renewables). Additionally, the most efficient hydrogen production methods run at high temperatures, another reason nuclear is appealing.

\section{Acknowledgements}

Roberto E. Fairhurst Agosta and Prof. Huff are supported by the \gls{NRC} Faculty Development Program (award NRC-HQ-84-14-G-0054 Program B). Samuel G. Dotson is supported by the \gls{NRC} Graduate Fellowship Program. Prof. Huff is also supported by the Blue Waters sustained-petascale computing project supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois, the DOE ARPA-E MEITNER Program (award DE-AR0000983), the DOE H2@Scale Program (award), and the International Institute for Carbon Neutral Energy Research (WPI-I2CNER), sponsored by the Japanese Ministry of Education, Culture, Sports, Science and Technology.
Additionally, the authors would like to thank Beth Brunk from \gls{MTD} and Pete Varney from \gls{UIUC} Facilities and Services for their contributions to the development of this document.

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\bibliographystyle{ans}
\bibliography{bibliography}
\end{document}
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