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<!DOCTYPE html>
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<meta charset="utf-8">
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<title>readme</title>
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<body class="fullcontent">
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<main class="content" id="quarto-document-content">
<section id="specialty-crop-agrivoltaics-in-the-southeastern-usa-profitability-and-the-role-of-rural-energy-for-america-program" class="level1">
<h1>Specialty Crop Agrivoltaics in the Southeastern USA: Profitability and the Role of Rural Energy for America Program</h1>
<section id="authors" class="level2">
<h2 class="anchored" data-anchor-id="authors">Authors</h2>
<p>Bijesh Mishra<sup>1<em></em></sup><em>, Ruiqing Miao<sup>1</sup></em>, Ngbede Musa<sup>1</sup>, Dennis Brothers<sup>1</sup>, Madhu Khanna<sup>2</sup>, Adam N. Rabinowitz<sup>1</sup>, Paul Mwebaze<sup>2</sup>, James McCall<sup>3</sup></p>
<p><sup>1</sup>Auburn University, Auburn, AL, 36849</p>
<p><sup>2</sup>University of Illinois Urbana-Champaign, Urbana, IL, 61801</p>
<p><sup>3</sup>National Renewable Energy Lab, Denver, CO, 80401</p>
<p><sup>*</sup>Corresponding authors: [email protected]; [email protected]</p>
</section>
<section id="abstract" class="level2">
<h2 class="anchored" data-anchor-id="abstract">Abstract</h2>
<p>Agrivoltaic profitability in the southeastern US needs to be better understood. This study examines the profitability of tomato and strawberry agrivoltaics in Alabama. We found that reducing the Rural Energy for America Program’s coverage of capital investment of agrivoltaics from 50% to 25% will make agrivoltaics unprofitable.</p>
</section>
<section id="keywords" class="level2">
<h2 class="anchored" data-anchor-id="keywords">Keywords</h2>
<p>Benefit-cost analysis, Climate change, Photovoltaic, Solar energy, Strawberry, Tomato</p>
</section>
<section id="jel-codes" class="level2">
<h2 class="anchored" data-anchor-id="jel-codes">JEL Codes</h2>
<p>C53, C63, Q48</p>
<section id="how-to-navigate-through-files-in-the-repository" class="level3">
<h3 class="anchored" data-anchor-id="how-to-navigate-through-files-in-the-repository">How to navigate through files in the repository?</h3>
<p>Step 1: Run and Render “Simulation R25.qmd”. Rendering this file generates “Simulation-R25.pdf”. Step 2: Run and Render “AV Profit R25.qmd”. Rendering this files generates “AV-Profit-R25.pdf”. This file will generate several results inside “Results” repository.</p>
<p>Step 3: Repeat steps 1 and 2 for .qmd files with R50 files in the same order as above. The outcome is similar as above for their respective steps.</p>
<p>You can fild data used in the modeling inside “Data” repository and results and figures generated during simulation and alnalysis in “results” and “Plots” repositories. You can delete all files inside “Results” and “Plots” repositories before running, if you wish to. Running steps 1 to 3 automatically generate results and figures.</p>
</section>
</section>
<section id="capex-w-pv-capex-whttpsgithub.combijubjsagrivoltaics-alabamablobmainplotscapex20solar20panels.pngrawtrue" class="level2">
<h2 class="anchored" data-anchor-id="capex-w-pv-capex-whttpsgithub.combijubjsagrivoltaics-alabamablobmainplotscapex20solar20panels.pngrawtrue">CAPEX (<span class="math inline">\(/W)
</h2>
<p>Figure: AV Capital investment cost (CAPEX).</p>
</section>
</section>
<section id="tomato-agrivoltaics" class="level1">
<h1>Tomato Agrivoltaics</h1>
<section id="tav-profits-2160-scenarios" class="level2">
<h2 class="anchored" data-anchor-id="tav-profits-2160-scenarios">TAV Profits 2,160 Scenarios</h2>
<p>TAV profits in the four regions of Alabama under various solar energy system configurations. The vertical axis indicates electricity price, tomato price, tomato yield, and regions of Alabama. For example, “Northern 0.5 17” on the first row means the northern region of Alabama, 50% yield of 1,360 cartons of tomatoes, and $17 per carton of tomato. The horizontal axis has PVD, solar array types, and solar panel ground clearance height (ft.). For example, “0.10 Fixed 4.6” on the first column means 10% PVD, fixed-tilt solar panels mounted 4.6 ft. above the ground. Green and red colored blocks represent profits and losses from TAVs respectively. Profits and losses increase as blocks turn darker in color.</p>
<p><img src="https://github.com/bijubjs/Agrivoltaics-alabama/blob/main/Plots/TAV%20Profits%20CTab%20R50.png?raw=true" class="img-fluid" alt="TAV Profits R50"> Figure: TAV profit after 50% of total PV CAPEX is compensated through a REAP within six months of the initial investment. <img src="https://github.com/bijubjs/Agrivoltaics-alabama/blob/main/Plots/TAV%20Profits%20CTab%20R25.png?raw=true" class="img-fluid" alt="TAV Profits R25"> Figure: TAV profit after 25% of total PV CAPEX is compensated through a REAP within six months of the initial investment.</p>
</section>
</section>
<section id="strawberry-agrivoltaics" class="level1">
<h1>Strawberry Agrivoltaics</h1>
<section id="sbav-profits-2160-scenarios" class="level2">
<h2 class="anchored" data-anchor-id="sbav-profits-2160-scenarios">SBAV Profits 2,160 Scenarios</h2>
<p>SAV profits in the four regions of Alabama under various solar energy system configurations. The vertical axis has electricity prices, strawberry prices, strawberry yield, and regions of Alabama. For example, the label, “Northern 0.5 3” on the first row represents the northern region of Alabama, strawberry yield at 50% of 3,075 buckets, and $3 per bucket strawberry. The horizontal axis has PVD, solar panel array types, and solar panel ground clearance height (ft.). For example, the label “0.10 Fixed 4.6” on the first column represents 10% PVD, fixed-tilt solar panels mounted 4.6 ft. above the ground. Green and red colored blocks represent profits and losses from TAVs respectively. Profits and losses increase as blocks turn darker in color.</p>
<p><img src="https://github.com/bijubjs/Agrivoltaics-alabama/blob/main/Plots/SBAV%20Profits%20Ctab%20R50.png?raw=true" class="img-fluid" alt="SBAV Profits R50"> Figure: SBAV profit after 50% of the total PV CAPEX is compensated through a REAP within six months of the initial investment. <img src="https://github.com/bijubjs/Agrivoltaics-alabama/blob/main/Plots/SBAV%20Profits%20Ctab%20R25.png?raw=true" class="img-fluid" alt="SBAV Profits R25"> Figure: SBAV profit after 25% of the total PV CAPEX is compensated through a REAP within six months of the initial investment.</p>
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gutterDiv.style.height = height + 4 + "px";
}
selectedAnnoteEl = annoteEl;
}
};
const unselectCodeLines = () => {
const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
elementsIds.forEach((elId) => {
const div = window.document.getElementById(elId);
if (div) {
div.remove();
}
});
selectedAnnoteEl = undefined;
};
// Handle positioning of the toggle
window.addEventListener(
"resize",
throttle(() => {
elRect = undefined;
if (selectedAnnoteEl) {
selectCodeLines(selectedAnnoteEl);
}
}, 10)
);
function throttle(fn, ms) {
let throttle = false;
let timer;
return (...args) => {
if(!throttle) { // first call gets through
fn.apply(this, args);
throttle = true;
} else { // all the others get throttled
if(timer) clearTimeout(timer); // cancel #2
timer = setTimeout(() => {
fn.apply(this, args);
timer = throttle = false;
}, ms);
}
};
}
// Attach click handler to the DT
const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
for (const annoteDlNode of annoteDls) {
annoteDlNode.addEventListener('click', (event) => {
const clickedEl = event.target;
if (clickedEl !== selectedAnnoteEl) {
unselectCodeLines();
const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
if (activeEl) {
activeEl.classList.remove('code-annotation-active');
}
selectCodeLines(clickedEl);
clickedEl.classList.add('code-annotation-active');
} else {
// Unselect the line
unselectCodeLines();
clickedEl.classList.remove('code-annotation-active');
}
});
}
const findCites = (el) => {
const parentEl = el.parentElement;
if (parentEl) {
const cites = parentEl.dataset.cites;
if (cites) {
return {
el,
cites: cites.split(' ')
};
} else {
return findCites(el.parentElement)
}
} else {
return undefined;
}
};
var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
for (var i=0; i<bibliorefs.length; i++) {
const ref = bibliorefs[i];
const citeInfo = findCites(ref);
if (citeInfo) {
tippyHover(citeInfo.el, function() {
var popup = window.document.createElement('div');
citeInfo.cites.forEach(function(cite) {
var citeDiv = window.document.createElement('div');
citeDiv.classList.add('hanging-indent');
citeDiv.classList.add('csl-entry');
var biblioDiv = window.document.getElementById('ref-' + cite);
if (biblioDiv) {
citeDiv.innerHTML = biblioDiv.innerHTML;
}
popup.appendChild(citeDiv);
});
return popup.innerHTML;
});
}
}
});
</script>
</div> <!-- /content -->
</body></html>