journal article·2013-12

The wind chill temperature effect on a large‐scale PV plant—an exergy approach

George Xydis

Publisher page

Abstract

ABSTRACT In this paper, a detailed exergetic analysis based on the variation of meteorological parameters was performed for a solar power generation system. All wind and solar energy and exergy characteristics were examined in order to identify the variables that affect the power output of the photovoltaic (PV) system. Atmospheric variables such as air temperature, humidity and wind speed and their effects, shadow effects, tracking losses, and low radiation losses of the PV power output were investigated aiming at identifying the real and net solar energy output. It was shown that some usually disregarded atmospheric variables in planning new PV plants, in fact, do play a significant role on the plant's overall exergetic efficiency as wind chill temperature. The solar potential around a windy coastal hilly area was studied and presented on the basis of field measurements and simulations. Understanding atmospheric parameters variation appears to be of great importance for estimating correctly and trustworthy the energy yield, and special focus was given to that in this paper. Copyright © 2012 John Wiley & Sons, Ltd.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Solar Thermal and Photovoltaic Systems · Photovoltaic System Optimization Techniques · Thermodynamic and Exergetic Analyses of Power and Cooling Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical Engineering Technical University of Denmark Frederiksborgvej 399, POB 49, Building 776 4000 Roskilde Denmark

References (52)

Show source-provided references
1. IEC.Windturbines—Part12‐1: power performance measurements of electricity producing wind turbines (IEC 61400‐12‐1 International Standard);2005.
2. Photovoltaic Geographical Information System (PVGIS) JRC European Commission Available online:http://re.jrc.ec.europa.eu/pvgis/.
3. PVsyst User's Guide University of Geneva Available online:http://files.pvsyst.com/pvsyst5.pdf.
4. 10.1002/we.31010.1002/we.310 ↗
5. 10.1016/j.jweia.2006.09.00110.1016/j.jweia.2006.09.001 ↗
6. 10.1590/S1678-5878200400030000110.1590/S1678-58782004000300001 ↗
7. 10.1016/0167-6105(88)90108-010.1016/0167-6105(88)90108-0 ↗
8. 10.1016/S0167‐6105(98)00016‐610.1016/S0167‐6105(98)00016‐6 ↗
9. 10.1017/S135048270300303710.1017/S1350482703003037 ↗
10. 10.1016/S0960-1481(01)00125-210.1016/S0960-1481(01)00125-2 ↗
11. Thermodynamic performance of a photovoltaic system, 2009
12. 10.1016/j.rser.2009.01.00910.1016/j.rser.2009.01.009 ↗
13. ShiJ LeeW‐J LiuY YangY WangP.Forecasting power output of photovoltaic system based on weather classification and support vector machine 2011 Conference Record ‐ IAS Annual Meeting (IEEE Industry Applications Society) art. no. 6074294.
14. 10.1080/15435075.2011.57629310.1080/15435075.2011.576293 ↗
15. 10.1016/j.rser.2006.10.00110.1016/j.rser.2006.10.001 ↗
16. 10.1016/S1359-4311(03)00166-210.1016/S1359-4311(03)00166-2 ↗
17. 10.1016/S0927-0248(97)00034-210.1016/S0927-0248(97)00034-2 ↗
18. 10.1007/978-0-585-29606-7_610.1007/978-0-585-29606-7_6 ↗
19. 10.1093/ijlct/ctq04510.1093/ijlct/ctq045 ↗
20. 10.1504/IJEX.2011.03852010.1504/IJEX.2011.038520 ↗
21. 10.1016/j.energy.2010.11.00910.1016/j.energy.2010.11.009 ↗
22. 10.1016/j.energy.2010.02.03810.1016/j.energy.2010.02.038 ↗
23. 10.3923/jas.2011.1121.112810.3923/jas.2011.1121.1128 ↗
24. MahmoudK Abdel‐AkherM.Analysis of hybrid photovoltaic and wind energies connected to unbalanced distribution systems. PECon2010—2010 IEEE International Conference on Power and Energy2010 art. no. 5697561 pp.79–84.10.1109/PECON.2010.5697561 ↗
25. 10.1016/j.apenergy.2009.08.01210.1016/j.apenergy.2009.08.012 ↗
26. 10.1016/j.apenergy.2008.03.00810.1016/j.apenergy.2008.03.008 ↗
27. 10.1016/j.apenergy.2009.06.00610.1016/j.apenergy.2009.06.006 ↗
28. 10.1002/er.93310.1002/er.933 ↗
29. KanogluM DincerI RosenMA.Exergy analysis of psychrometric processes for HVAC&R applications 2007 ASHRAE Transactions 113 PART 2 172–180.
30. Analysis of exergy of moist air and energy saving potential in HVAC by evaporative cooling or energy recovery
31. WindRose.A wind data analysis tool User's Guide Centre for Renewable Energy Sources 2010 Available online:http://www.windrose.gr.
32. Mortensen NG · 1993 · 126
33. 10.1016/j.rser.2010.06.00210.1016/j.rser.2010.06.002 ↗
34. A methodology for implementing a psychrometric chart in a computer graphics system
35. International Organization for Standardization Standard Atmosphere ISO 2533:1975 1975.
36. A quick derivation relating altitude to air pressure. Portland State Aerospace Society 2004Available from:http://psas.pdx.edu/.
37. Climatology data Hellenic National Meteorological Service available from:http://www.hnms.gr/hnms/english/index_html?.
38. 10.1016/j.enbuild.2010.07.01110.1016/j.enbuild.2010.07.011 ↗
39. 10.1016/j.solener.2005.08.01210.1016/j.solener.2005.08.012 ↗
40. 10.1016/j.solener.2008.10.00810.1016/j.solener.2008.10.008 ↗
41. RossRG.“Flat‐plate photovoltaic array design optimization” Conference Record 14th IEEE Photovoltaic Specialists Conference San Diego 1980;1126–1132.
42. PrattL KingDL.The effect of uncertainty in modeling coefficients used to predict energy production using the Sandia Array Performance Model. Conference Record of the IEEE Photovoltaic Specialists Conference art. no. 5616871 2010;2718–2723.10.1109/PVSC.2010.5616871 ↗
43. KingDL.Photovoltaic module and array performance characterization methods for all system operating conditions Sandia National Laboratories Proceeding of NREL/SNL Photovoltaics Program Review Meeting 18–22 November 1996 Lakewood CO AIP Press New York 1997.10.1063/1.52852 ↗
44. 10.1016/S0927-0248(02)00185-X10.1016/S0927-0248(02)00185-X ↗
45. Measurements of dry atmospheric cooling in subfreezing temperatures
46. 10.1016/S0301-4215(03)00132-010.1016/S0301-4215(03)00132-0 ↗
47. MeinelAB MeinelMP.Applied Solar Energy Addison Wesley Publishing Co. 1976.
48. 10.1016/0038-092X(70)90006-X10.1016/0038-092X(70)90006-X ↗
49. RahmanRA SulaimanSI OmarAM ShaariS Md ZainZ.Performance analysis of a grid‐connected PV system at Malaysian Energy Centre Malaysia The 4th International Power Engineering and Optimization Conference (PEOCO2010) Shah Alam Selangor MALAYSIA. 23–24 June2010.10.1109/PEOCO.2010.5559155 ↗
50. 10.1002/pip.102410.1002/pip.1024 ↗
51. 10.1002/pip.89310.1002/pip.893 ↗
52. 10.1016/S0927-0248(97)00028-710.1016/S0927-0248(97)00028-7 ↗