Introduction

Hello all, my name is Ram Krishnan. I am currently pursuing my Masters of Science Degree in Electrical Engineering at Michigan Tech and my area of research is "Study of the effects of replacing non-food crops with PV farms: A boon or a bane to the farmers. ". As for the non-food crops I have chosen Cotton, Tobacco & Alcohol and will be analysing how replacing these crops with PV farms may or may not prove to be advantageous to the farmers.

Objective

Our main objective is to analyze and compare the revenue a farm land provides a farmer in the United States if he sets up a Photovoltaic plant on it, rather than growing cotton/tobacco or Alcohol.

The Literature review will be divided into two stages:

This piece of information will help us plot various sensitivity graphs for these crops and compare them against PV graphs.


Non-food Crops Agriculture Statistics

Cotton Production Statistical Data in Georgia, USA

Cotton Production Statistics in Georgia, USA.[1] Abstract : The link provides extensive details about the cotton production in the state of Georgia, USA published by the Georgia Cotton Commission. The data which is of much interest to us in this project would be:

These details would be very useful to us when we compare the remuneration provided by PV farms vs the efficiency cotton crop produces. We can choose a specific farm in of the counties mentioned on the link. We will calculate the amount of acres used by PV farms and the income it provides VS the amount of acres used by the crop and the $/acre it provides.

Cotton Production Statistical Data in Missouri USA

Cotton Production Statistics in Missouri, USA[2]
Abstract: The link provides an insight into the crop production & efficiency in the state of Missouri USA. This link can prove to be an excellent source as we can use the following data for our project:

Tobacco Production Statistical Data in North Carolina, USA

Tobacco Production Statistical Data in North Carolina, USA[3]
Abstract: We have chosen North Carolina because for the year 2013, it had the highest production of Tobacco. Tobacco has always been a very important contributor to North Carolina's economy. Once again the link provides abundant relevant data like :

We can choose the data used for Burley Tobacco crops as these crops are used to make cigarettes. The link also provides us data like the number of farms allocated to the various counties in the state. This will help us use GIS over a particular farm very easily.

Alcohol Production Statistical Data in Michigan, USA

Alcohol Production Statistical Data in Michigan, USA[4]
Abstract: The paper, published by the researchers of Michigan State University, gives a detailed description of the crop Barley in the state of Michigan, USA. Barley is primarily used in the production of Beer and is extensively grown in the Northern Part of North America. Though the paper goes into detail the way a Barley crop is planted, grown and harvested, we are primarily interested in the data provided about the

One very unique characteristic about the paper, which may prove to be very helpful for my topic is that the paper provides an in depth break up of the expenses incurred by the farmer per acre during the process of growing Barley. This data can prove useful when we compare it to the expenses incurred while installing PV systems.

Cotton Production in California

Cotton Production in California[5]
Abstract: California, being a large producer of Pima Cotton, is an ideal area of research as it has the largest % of PV farms too. Hence it would be easier to base our research around this region. The data provided in this article which is relevant to us is:

Fertilizer use per acre- Data about the type of fertilizers used per acre is useful to us as it would be an important factor while plotting the sensitivity graph of cotton for the next 25 years.

Georgia Tobacco Farms

Georgia Tobacco Farms[6]
Abstract: This article provides agricultural information about the quantity of Tobacco produced in various counties of Georgia. Data which we can pull of this is:

Barley in Colorado, USA

Barley in Colorado[7]
Abstract: The state of Colorado is well known for its large production of Barley. Since it also has a large % of PV farms, it would be useful to pull out the following information from the article:

Agriculture Projections to 2016

Agriculture Projections to 2016[8]
Abstract: The article, published by the United States Department of Agriculture, studies how agriculture statistics like farm income, food prices etc will change in the upcoming years. The article covers the crops we are interested in primarily, and will be immensely useful to us in the following ways:

Crop Production Data

Crop Production Data[9]
Abstract: Although we have many literature on this topic, this article is particularly useful to us because:

Economics of Tobacco

Economics of Tobacco[10]
Abstract: This article discusses in brief the economics of Tobacco crop in USA. The information that will be useful to us is:

There are very informative graphs in this section that show how the production of tobacco is decreasing in USA as more number of cigarettes are being imported. These graphs will be useful to us when we plot graphs in our research.

Cotton production in Arizona

Cotton in Arizona[11]
Abstract: Cotton is a major crop grown in Arizona. The Pima variety of cotton is most famous in Arizona. Since Arizona also receives a high Irradiation value, and we have already discussed a PV farm in Tucson, Arizona; it will therefore be useful to discuss the growth of cotton in Arizona. The data which we can pull of the article is:

Sensitivity analysis of energy inputs for barley production in Hamedan Province of Iran

Sensitivity analysis of energy inputs for barley production in Hamedan Province of Iran[12]
Abstract: The main objective of this article was to analyse what components of Barley farming consume maximum energy. This approach will be beneficial to us as it will help us evaluate what are the major factors that cause expenses in Barley Farming due to which farmers can actually consider PV farming. The main points in this article which we can use is:

Though the data is relevant to the country of Iran, it does give us a good idea on how to go about doing a sensitivity and expense analysis in USA. Hence this article will be of good significance to us.

Barley in Wyoming

Barley in Wyoming[13]
Abstract: Wyoming is a major producer of Barley. As we are going to discuss PV farms in Wyoming, it will be useful to find out the statistics of Barley production in Wyoming. The information, as of 2011, that we can pull out is:

PV Farm Technical Specs


Objective - The main objective of this section of Lit Review is to assemble as much technical data on PV farms as possible. Technical data ideally should comprise of maximum information on the layout of the farm. Some of the information maybe:

During the course of the project, when we will be simulating a Solar PV setup, the above mentioned details will come handy. Since our primary objective is to show that the efficiency and revenue generated by a PV plant will be more/less than what a agricultural crop can generate, this approach may prove to be beneficial.

PV Setup in Georgia Power Headquarters, A Southern Company.

PV Setup in Georgia Power, a Southern Company[14]
Abstract: The state of Georgia, USA is actively trying to harness the potential of Solar Energy. Since we have chosen one of the non-food crops (cotton) to be in Georgia, it would be ideal to collect information about various types of PV setups in Georgia. One such PV setup has been established by Georgia Power's Corporate Headquarters in the year 2009. Their setup basically consists of rooftop PV arrays with the objective of producing electricity for the building. Their project, funded by Southern Company, can provide relevant details for our project as one of their objectives is to provide cost & performance data to help their customers. Through their interactive website that provides real-time web data we are interested in the following information:

Limitations faced-

Solar Farm in Colorado

Multicriteria GIS modeling of wind and solar farms in Colorado[15]
Abstract: The basic objective of this paper was to analyze the suitable land area to tap solar (and in this case wind also) potential in Colorado, USA. The paper publishes its results based on using various Geographic Information System (GIS) modelling techniques to find out which land cover was most suitable for a Solar Farm.
Since our project involves simulation & design of Solar PV farms using the information provided by GIS, this paper can provide an useful insight on how to model a efficient PV farm based on information obtained from the GIS.

The following information from this paper is useful for us in our project

Parallel DC-AC Conversion System Based on Separate Solar Farms with MPPT Control

Parallel DC-AC Conversion System Based on Separate Solar Farms with MPPT Control[16]
Abstract: This article focuses primarily on the simulation part of a PV farm, which can provide us useful information on how to go about building and simulating a PV plant with the help of MATLAB SIMULINK.

The information from this article that is relevant to us is:

Renewable energy potential on brownfield sites: A case study of Michigan

Renewable energy potential on brownfield sites: A case study of Michigan[17]
Abstract: The highlight of the journal paper is to show the potential a Brownfield land has in being replaced as a potential land for Solar Farms. Since this paper is a case study of Michigan and we had chosen one of the non-food crops to be in Michigan, this paper can provide us certain interesting & relevant details like:

Statistical Modeling of Energy Production by Photovoltaic Farms

Statistical Modeling of Energy Production by Photovoltaic Farms[18]
Abstract: The paper basically deals with a statistical approach to model a PV farm in such a way that we are capable of predicting the energy output of each PV cell. The area of interest to us in this journal article is the way the paper uses an unique approach that relates weather conditions over an area of interest with the electricity production of the PV cells. Though the case study was based in Czech Republic, we can incorporate their methods while modelling our PV system.

AN INVESTIGATION TO USE TAILING PONDS AS SOLAR PHOTOVOLTAIC FARMS

AN INVESTIGATION TO USE TAILING PONDS AS SOLAR PHOTOVOLTAIC FARMS[19]
Abstract: Although the main feature of the paper is to discuss how a Tailing Impoundments can be used as PV farms, which may not be of any interest to us, the paper does provide some very useful information to us like:

Solar Power Analysis & Design Specifications in Houston, USA.

Solar Power Analysis & Design Specifications in Houston, USA[20]
Abstract: The basic objective of this published document was to design & implement a Solar Farm on a landfill in the city of Houston, Texas. The information that would be relevant to us in our research is:

The Long Island Solar Farm

The Long Island Solar Farm[21]
Abstract: This journal article discusses the largest Solar Power Plant in Eastern United States (New York). Our main area of interest lies in these following topics of the article:

SunEdison Photovoltaic Solar Power Farm Davidson County, North Carolina

SunEdison Photovoltaic Solar Power Farm[22]
Abstract: Since we have reviewed an article discussing the growth of Tobacco crop in the state of North Carolina, it would be hence advantageous to study any existing solar farms in North Carolina. Though this article is very brief, it does provide the following information for us which can prove to be useful:

Planning and Zoning for Solar in North Carolina

Planning and Zoning for Solar in North Carolina[23]
Abstract: The basic purpose of this article is to plan and evaluate the idea of establishing Solar Farms in the state of North Carolina. This article can come in handy to us when we plan to replace a tobacco farm with a PV farm in North Carolina. The information that can be useful to us is:

References

  1. ↑ Georgia Cotton Commission: Georgia Agricultural Statistics as of May 2013. http://web.archive.org/web/20200819121224/http://www.georgiacottoncommission.org/index.cfm?show=10&mid=5
  2. ↑ University of Missouri Extension Commercial Agriculture Program
  3. ↑ North Carolina Department of Agriculture & Consumer Services: http://www.ncagr.gov/markets/commodit/horticul/tobacco/
  4. ↑ A. McFarland, C. Kapp, R. Freed, J. Isleib, S. Graham, and M. B. G. Director, "Malting Barley Production in Michigan."
  5. ↑ D. Geisseler and W. R. Horwath, "Cotton Production in California.
  6. ↑ United States department of Agriculture, June 2011: http://www.nass.usda.gov/ga
  7. ↑ National Agricultural Statistics Service Colorado Field Office 2012
  8. ↑ U. L. Projections, "USDA Agricultural Projections to 2019," 2010.
  9. ↑ Released October 10, 2014, by the National Agricultural Statistics Service (NASS), Agricultural Statistics Board, United States Department of Agriculture (USDA).
  10. ↑ L. Liang, F. J. Chaloupka, and K. Ierulli, "6. Measuring the Impact of Tobacco on State Economies," Evaluating ASSIST, p. 163, 2006.
  11. ↑ United States Department of Agriculture, September 2013
  12. ↑ H. G. Mobtaker, A. Keyhani, A. Mohammadi, S. Rafiee, and A. Akram, "Sensitivity analysis of energy inputs for barley production in Hamedan Province of Iran," Agriculture, Ecosystems & Environment, vol. 137, no. 3–4, pp. 367–372, May 2010.
  13. ↑ Wyoming Field Office USDA - National Agricultural Statistics Service 2011
  14. ↑ Georgia Power Headquarters Solar Project - Southern Company: http://web.archive.org/web/20180304070752/http://buildingdashboard.com:80/clients/southernco/
  15. ↑ J. R. Janke, "Multicriteria GIS modeling of wind and solar farms in Colorado," Renewable Energy, vol. 35, no. 10, pp. 2228–2234, Oct. 2010.
  16. ↑ I. Colak, E. Kabalci, and G. Bal, "Parallel DC-AC conversion system based on separate solar farms with MPPT control," in 2011 IEEE 8th International Conference on Power Electronics and ECCE Asia (ICPE ECCE), 2011, pp. 1469–1475.
  17. ↑ S. Adelaja, J. Shaw, W. Beyea, and J. D. Charles McKeown, "Renewable energy potential on brownfield sites: A case study of Michigan," Energy Policy, vol. 38, no. 11, pp. 7021–7030, Nov. 2010.
  18. ↑ M. Brabec, E. Pelikan, P. Krc, K. Eben, and P. Musilek, "Statistical modeling of energy production by photovoltaic farms," Journal of Energy and Power Engineering, vol. 5, no. 9, pp. 785–793, 2011.
  19. ↑ M. Momayez, T. Wilson, A. Cronin, S. Annavarapu, and B. Conant, "An investigation to use tailings ponds as solar photovoltaic farms," Am. Soc. of Mining and Reclamation, 2009.
  20. ↑ Solar Power Analysis & Design Specifications developed by SRA International , INC. Virginia, USA.EPA Contract No. EP-W-07-023, Work Assignment 018, entitled, "Technical Assistance to Pilot Communities."
  21. ↑ The Long Island Solar Farm by Robert S. Anders; Presidential Management Fellow, Brookhaven National Laboratory, U.S. Department of Energy. The Long Island Solar Farm Technical Report DOE/GO-102013-3914 May 2013
  22. ↑ SunEdison Photovoltaic Solar Power Farm
  23. ↑ Planning and Zoning for Solar in North Carolina by Adam Lovelady, 2014
Page data
License CC-BY-SA-3.0
Language English ()
Related 0 subpages, 0 pages link here
Views 69 page views (analytics)
Created January 21, 2015 by Joshua M. Pearce
Last edit November 28, 2025 by StandardWikitext bot