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Alternative models

6.1 Further work

6.1.2 Alternative models

of 5 141 NOK.

My model gives a good description of costs and income from a solar farm. It should be modied if the conditions are changed. With a good estimate of the parameters, it can tell if the investment is protable. But what's likely most important, is that it provides guidance on how the farm should be congured.

6.1. FURTHER WORK 79 decreasing with increased production, such that you want to spread the production more throughout the day.

There are numerous dierent solvers, design and parameter possibilities. All the possible cases could be considered for the individual location and customized to the specic use. The dierent cases could be modelled into an optimization problem and could be interesting continuations of this thesis.

Bibliography

[1] Badescu, V. (2002).

3d isotropic approximation for solar diuse irradiance on tilted surfaces.

Renewable Energy, 26(2), 221233.

[2] Bany, J. and Appelbaum, J. (1987).

The eect of shading on the design of a eld of solar collectors.

Solar Cells, 20, 201-228 [3] Cooper P. I., (1969).

The Absorption of Solar Radiation in Solar Stills.

Solar Energy, 12, 3

[4] Deep K., Singh K. P., Kansal M.L., and Mohan C., (2009),

"A real coded genetic algorithm for solving integer and mixed integer optimization problems".

Applied Mathematics and Computation, 212, 505-518 [5] Dirk C.J., Kurtz S.R., (2012).

"Photovoltaic Degradation Rates An Analytical Review". [online] www.nrel.

gov/docs/fy12osti/51664.pdf (Retrieved 16.01.2018).

[6] Dubey S., Sarvaiya J. N., Seshadri B., (2013)

Temperature Dependent Photovoltaic (PV) Eciency and Its Eect on PV Pro-duction in the World A Review. Energy Proc, 33, 311-321.

[7] Due J., Beckmann W., (2013),

Solar engineering of thermal processes. 4th edition, John Wiley, New York, USA 81

[8] Energy in the Solar spectrum.

[online] http://km2000.us/solar/readings.html (Retrieved 15.01.2018).

[9] Enova, Kostnadsstudie, Solkraft i Norge 2013.

[online] www.enova.no/upload_images/9EF9602A2B454C008F472DF2A98F6737.

pdf(Retrieved 21.11.2017).

[10] Eurostat, Electricity price statistics

0.148 eur in Italy and 0.07 eur per KWh in Norway. 1 EUR ≈ 9.5 NOK. [online] ec.europa.eu/eurostat/statistics-explained/index.php/

Electricity_price_statistics (Retrieved 11.01.18)

[11] Geophysical institute (UoB).

[online] veret.gfi.uib.no/?action=download (Retrieved 22.11.17).

[12] Goswami D. Y., (1986).

Eect of Row-to-Row Shading on the Output of Flat Plate South Facing Solar Ar-rays. DOE/JPL-957021-86/1, Prepared for JPL by North Carolina Agricultural State University, Greensboro, North Carolina.

[13] Huld T., Müller R., Gambardella A., (2012).

A new solar radiation database for estimating PV performance in Europe and Africa. Solar Energy, 86, 6, 1803-1815.

[14] Ibrahim A., Bourennani F., (2013)

Optimal Photovoltaic System Design with Multi-objective Optimization. Int J Appl Metaheuristic Comput (IJAMC), 4 (4).

[15] Instruction manual of the measuring device.

[online] https://s.campbellsci.com/documents/cn/manuals/cnr1.pdf (Re-trieved 12.11.2017).

[16] IRENA (2016), Solar PV in Africa: Costs and Markets.

[online] http://www.irena.org/-/media/Files/IRENA/Agency/Publication/

2016/IRENA_Solar_PV_Costs_Africa_2016.pdf (Retrieved 25.01.18).

[17] IRENA (2017), Renewable energy benets: Leveraging local capac-ity for solar PV, International Renewable Energy Agency, Abu Dhabi.

[online] www.irena.org/-/media/Files/IRENA/Agency/Publication/2017/

BIBLIOGRAPHY 83 Jun/IRENA_Leveraging_for_Solar_PV_2017_summary.pdf?la=en&hash=

9C90082E1722BD974B933FA565A2756586F9D33C (Retrieved 25.01.18).

[18] ITS Innotech Solar module GmbH.

[online] http://www.allecogroup.com/wp-content/uploads/2013/02/

Innotech-Solar-productbrochure-EcoPlus-250Wp.pdf (Retrieved 21.11.17).

[19] Kumar B.S., Sudhakar K., (2015)

Performance evaluation of 10 MW grid connected solar photovoltaic power plant in India. Energy Rep., 1, 184-192.

[20] Liu B.Y.H., Jordan R.C., (1963).

The long-term average performance of at-plate solar energy collectors. Sol En-ergy, 7.

[21] Marsland S., (2014),

Machine learning: An Algorithmic Perspective. Second edition. ISBN: 978-1466583283

[22] Mathworks. Documentation on GA.

[online] https://se.mathworks.com/help/gads/ga.html (Retrieved 18.01.2018).

[23] Mathworks. Options in GA.

[online] https://se.mathworks.com/help/gads/

genetic-algorithm-options.html (Retrieved 18.01.2018).

[24] Mathworks. How GA works.

[online] https://se.mathworks.com/help/gads/

how-the-genetic-algorithm-works.html (Retrieved 18.01.2018).

[25] Mitchell M., (1996),

An Introduction to Genetic Algorithms. Cambridge, MA: MIT Press. ISBN 9780585030944.

[26] Rhodes J.D., Upshaw C.R., Cole W.J., Holcomb C.L., Webber M.E., (2014).

A multi-objective assessment of the eect of solar PV array orientation and tilt on energy production and system economics.

Sol. Energy, 108, 28-40.

[27] Ringbeck S., Sutterlueti J., (2013).

BoS costs: status and optimization to reach industrial grid parity. Progress in Photovoltaics: Research and Applications, 21, 6, 1411-1428.

[28] Shoemake J., (2014).

Ghana Powers Up: The Largest Solar Plant In Africa Is Coming. Ventures Africa. [online] http://venturesafrica.com/

ghana-powers-up-the-largest-solar-plant-in-africa-is-coming/ (Re-trieved 30.10.2017).

[29] SMA, PV Inverter, SUNNY TRIPOWER,10000TL / 12000TL / 15000TL / 17000TL Installation Manual

[online] files.sma.de/dl/8552/STP10-17TL-IA-en-32.pdf (Retrieved 15.08.2017).

[30] Sproul, A. B. (2007).

Derivation of the solar geometric relationships using vector analysis.

Renewable Energy, 32(7):11871205.

[31] Starr, M. R., Palz, W., (1983).

Photovoltaic power for Europe : an assessment study. Page 76. D. Reidel Pub.

Co. for the Commission of the European Communities; Hingham, MA: Sold and distributed in the U.S.A. and Canada by Kluwer Boston, Dordrecht, Holland;

Boston, U.S.A.

[32] Statistics Norway.

[online] https://www.ssb.no/en/elkraftpris (Retrieved 25.01.2018).

[33] ’úri M., Huld T.A., Dunlop E.D. Ossenbrink H.A., (2007).

Potential of solar electricity generation in the European Union member states and candidate countries. Solar Energy, 81, 12951305.

[34] The World Bank, Climate Change Knowledge Portal.

[online] sdwebx.worldbank.org/climateportal/index.cfm?page=

downscaled_data_download&menu=historical. (Retrieved 12.12.2017).

[35] UN, sustainable development goals. Goal 7: Aordable and clean energy.

[online] http://www.undp.org/content/undp/en/home/

sustainable-development-goals/goal-7-affordable-and-clean-energy.

html. (Retrieved 01.11.2017).

BIBLIOGRAPHY 85 [36] WORLD ENERGY COUNCIL, WORLD ENERGY RESOURCES 2016.

[online] www.worldenergy.org/wp-content/uploads/2017/03/WEResources_

Solar_2016.pdf (Retrieved 25.01.18).

[37] Yr, Climate statistics.

[online] http://www.yr.no/sted/Norge/Hordaland/Bergen/Bergen/klima.

html (Retrieved 12.12.2017).

Appendix A

Nomenclature

A = maximum height above ground As = Area of the row covered by shade Ci = Annual income

D = Space between the rows

E = Clearance between the panels and the ground ep = Electricity price

Fdsh = Ratio between diuse irradiance on an un-shaded plane and a shaded plane Frsh = Ratio between reected irradiance on an un-shaded plane and a shaded plane GA = Genetic algorithm

H = Height of row

Hs = Height of shadow on the shaded rows I = Irradiance

Ib = Beam irradiance

Ib,T = Beam irradiance on tilted panel

Ib,Tsh = Beam irradiance on tilted and shaded panel Id = Diuse irradiance

Id,T = Diuse irradiance on tilted panel

Id,Tsh = Diuse irradiance on tilted and shaded panel Ir = Reected irradiance

Ir,T = Reected irradiance on tilted panel

Ir,Tsh = Reected irradiance on tilted and shaded panel I0 = Initial investment

K = Number of rows

87

L = Length of row

Ls = Length of shadow on the shaded rows mc = Annual maintenance cost

n = Day of the year

N OK = Norwegian kroner p = Percent discount rate pp = Price of installed PV

ppm = Price of installed PV included maintenance Q = Total irradiance on the panels (Wh)

qb = Beam irradiance (W h/m2) qd = Diuse irradiance (W h/m2) qr = Reected irradiance (W h/m2)

qbsh = Beam irradiance on a shaded panel (W h/m2) qdsh = Diuse irradiance on a shaded panel (W h/m2) qrsh = Reected irradiance on a shaded panel (W h/m2)

Rb = Relation between beam irradiance on a horizontal plane and on a tilted plane Rd= Relation between diuse irradiance on a horizontal plane and on a tilted plane T = Temperature

W = Width of eld W p = Watt peak

R = Set of real numbers Z= Set of integers α = Sun's altitude β = Tilt of panels

γ = azimuth angle between the Sun and the panels γc = Panels azimuth

γs = Sun's azimuth δ = Declination η = Eciency

ηpv = Eciency of panels ηinv = Eciency of inverter ηother = Other decreasing factors

θ = Angle between the normal to the panels and the beam irradiance θz = Angle between the horizontal plane and the beam irradiance ρ= Albedo

φ = Latitude of location

89 ω = Hour angle

∆t = time interval