Solar star projects SAM version 2017.9.5 PVwats version 5 model case study & validation
Abstract
Very
Large Photovoltaic Solar Power Plants (VLPVPPs) are a major revolutionary step
up not only for economies of scale, but also for %100 renewable power Global
Grid. Their designs and investments should be performed in an environmentally
friendly, fair, open to very large to small private investors, transparent and reducing
relative income inequality approaches. Their investments will easily be
possible with new investment models (%0 interest load, %100 private equity, open
investment for ordinary people, project developers, private companies etc. with
a constraint-based shareholder structuring). These revolutionary investment models
will play an important and game changing role. VLPVPPs’ early engineering and
investment analysis can be performed on many software. Therefore, validation
and verification efforts of those software in advance on the operational PVPPs
are essential. This research study aims to present a validation and
verification accomplishment of the Solar Star Projects (597 MWAC,
747,3 MWDC) (Solar Star I: 318 MWAC, 397,8 MWDC
& Solar Star II: 279 MWAC, 349,5 MWDC) in Antelope
Valley near Rosamond, Kern and Los Angeles counties, California, United States
with the PVWatts Version 5 model of the National Renewable Energy Laboratory
(NREL) System Advisor Model (SAM) Version 2017.9.5. The location and resource,
system design data and information of the Solar Star Projects (I & II) are presented
based on open source information and personal communications. The Solar Star
Projects SAM software models' are simulated on a personal computer (PC)
(Windows 10 Pro, Intel(R) Core(TM) i5 CPU 650 @ 3.20 GHZ, 6,00 GB RAM) with the
internet connection. The results of eight simple simulations, one parametric simulation
and one stochastic simulation are compared with the actual generation data by
help of some statistical performance measures (e.g. annual model/actual: 100,0%,
annual model/actual: 100,1%, absolute maximum forecast error 39.276 MWh, mean
absolute error 11.554 MWh, geometric mean absolute error 8.924 MWh, mean square
error 2.662.330.229 MWh, root mean square error 51.597 MWh).
Keywords
References
- Saracoglu, B.O., 2014, “An Experimental Fuzzy Expert System Based Application For The Go/No-Go Decisions To The Geospatial Investigation Studies Of The Regions Of The Very Large Concentrated Solar Power Plants In The European Supergrid Concept”, WSC 18 The 18th Online World Conference on Soft Computing in Industrial Applications, 1-12 December, 4(1), 223-234, World Wide Web.
- http://www.greenroof.hrt.msu.edu/what-is-green-roof/index.html
- http://www.greenroofsolutions.com/index.html
- http://www.greenroofers.co.uk/
- https://www.researchgate.net/project/Very-Large-Photovoltaic-Solar-Power-Plant-Conceptual-Design
- http://analysis.newenergyupdate.com/csp-today/csp-operators-urged-learn-ramp-faults-lower-cost-finance
- https://blog.ipleaders.in/solar-power-financing/
- https://www.forbes.com/sites/timothyspangler/2011/04/05/islamic-funds-sharia-law-and-investment-structures/#670d685c5260
Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Authors
Publication Date
April 5, 2018
Submission Date
March 9, 2018
Acceptance Date
March 26, 2018
Published in Issue
Year 2018 Volume: 5 Number: 1
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