Correlating Site-Specific Meteorological Data and Power Availability for Small-Scale, Multi-Source Renewable Energy Systems
The paper presents a modelling methodology for
small scale multi-source renewable energy systems. Using historical
site-specific weather data, the relationships of cost, availability and
energy form are visualised as a function of the sizing of photovoltaic
arrays, wind turbines, and battery capacity. The specific dependency
of each site on its own particular weather patterns show that unique
solutions exist for each site. It is shown that in certain cases the
capital component cost can be halved if the desired theoretical
demand availability is reduced from 100% to 99%.
[1] H. Yang, L. Lu, and W. Zhou, "A novel optimization sizing model for
hybrid solar-wind power generation system," Solar Energy, vol. 81, pp.
76-84, 2007.
[2] D. B. Nelson, M. H. Nehrir, and C. Wang, "Unit sizing and cost analysis
of stand-alone hybrid wind/PV/fuel cell power generation systems,"
Renewable Energy, vol. 31, pp. 1641-1656, 2006.
[3] G. C. Seeling-Hochmuth, "A combined optimisation concet for the
design and operation strategy of hybrid-PV energy systems," Solar
Energy, vol. 61, pp. 77-87, 1997.
[4] G. C. Seeling-Hochmuth, Optimisation of Hybrid Energy Systems
Sizing and Operation Control, 1999 ed: Kassel University Press GmbH,
1998.
[5] W. D. Kellogg, M. H. Nehrir, G. Venkataramanan, and V. Gerez,
"Generation unit sizing and cost analysis for stand-alone wind,
photovoltaic, and hybrid wind/PV systems," Energy conversion, ieee
transactions on, vol. 13, pp. 70-75, 1998.
[6] P. Hjorth and A. Bagheri, "Navigating towards sustainable development:
A system dynamics approach," Futures, vol. 38, pp. 74-92, 2006.
[7] O. Gergaud, B. Robin, D. Multon, and H. Ben Ahmed, "Energy
Modeling of a Lead-Acid Battery Within Hybrid Wind / Photovoltaic
Systems," presented at Proc. EPE, Toulouse, 2003.
[8] M. Taleb, "Performance of a Maximum Power Point Tracker (MPPT)
Photovoltaic Generator (PVG)," Electric Power Components and
Systems, vol. 35, pp. 367-375, 2007.
[9] M. K. Deshmukh and S. S. Deshmukh, "Modeling of hybrid renewable
energy systems," Renewable and Sustainable Energy Reviews, vol. 12,
pp. 235-249, 2008.
[10] A. N. Celik, "The system performance of autonomous photovoltaic-wind
hybrid energy systems using synthetically generated weather data,"
Renewable Energy, vol. 27, pp. 107-121, 2002.
[11] A. I. l. Merter Üner, "Typical weather data of main Turkish cities for
energy applications," International Journal of Energy Research, vol. 24,
pp. 727-748, 2000.
[12] S. Ransome and P. Funtan, "Why hourly averaged measurement data is
insufficient to model PV system performance accurately," presented at
20th European Photovltaic Solar Energy Conference, Barcelona, 2005.
[13] U. M. Office, "MIDAS Land Surface Stations Data (1853-current)," in
Bristish Atmospheric Data Centre, http://badc.nerc.ac.uk/data/ukmomidas,
Ed., 2006.
[14] H. H. El-Tamaly and A. A. E. Mohammed, "Modeling and simulation of
Photovoltaic/Wind Hybrid Electric Power System Interconnected with
electrical utility," presented at Power System Conference, 2008.
MEPCON 2008. 12th International Middle-East, 2008.
[15] S. Brinkkemper, M. Saeki, and F. Harmsen, "Meta-modelling based
assembly techniques for situational method engineering," Information
Systems, 10th International Conference on Advanced Information
Systems Engineering, vol. 24, pp. 209-228, 1999.
[16] G. D. G. C. Boccaletti, G. Fabbri, E. Nistico, "Energy Models For Stand
Alone Power Systems," presented at EETI - 5th International Congress
on Energy, 2004.
[17] H. X. Yang, L. Lu, and J. Burnett, "Weather data and probability
analysis of hybrid photovoltaic-wind power generation systems in Hong
Kong," Renewable Energy, vol. 28, pp. 1813-1824, 2003.
[18] S. Ashok, "Optimised model for community-based hybrid energy
system," Renewable Energy, vol. 32, pp. 1155-1164, 2007.
[19] J. Lara and H. Vangheluwe, "AToM3: A Tool for Multi-formalism and
Meta-modelling," in Fundamental Approaches to Software Engineering,
2002, pp. 174-188.
[20] J. K. Kaldellis, "An integrated time-depending feasibility analysis model
of wind energy applications in Greece," Energy Policy, vol. 30, pp. 267-
280, 2002.
[21] J. K. Kaldellis, P. Koronakis, and K. Kavadias, "Energy balance analysis
of a stand-alone photovoltaic system, including variable system
reliability impact," Renewable Energy, vol. 29, pp. 1161-1180, 2004.
[1] H. Yang, L. Lu, and W. Zhou, "A novel optimization sizing model for
hybrid solar-wind power generation system," Solar Energy, vol. 81, pp.
76-84, 2007.
[2] D. B. Nelson, M. H. Nehrir, and C. Wang, "Unit sizing and cost analysis
of stand-alone hybrid wind/PV/fuel cell power generation systems,"
Renewable Energy, vol. 31, pp. 1641-1656, 2006.
[3] G. C. Seeling-Hochmuth, "A combined optimisation concet for the
design and operation strategy of hybrid-PV energy systems," Solar
Energy, vol. 61, pp. 77-87, 1997.
[4] G. C. Seeling-Hochmuth, Optimisation of Hybrid Energy Systems
Sizing and Operation Control, 1999 ed: Kassel University Press GmbH,
1998.
[5] W. D. Kellogg, M. H. Nehrir, G. Venkataramanan, and V. Gerez,
"Generation unit sizing and cost analysis for stand-alone wind,
photovoltaic, and hybrid wind/PV systems," Energy conversion, ieee
transactions on, vol. 13, pp. 70-75, 1998.
[6] P. Hjorth and A. Bagheri, "Navigating towards sustainable development:
A system dynamics approach," Futures, vol. 38, pp. 74-92, 2006.
[7] O. Gergaud, B. Robin, D. Multon, and H. Ben Ahmed, "Energy
Modeling of a Lead-Acid Battery Within Hybrid Wind / Photovoltaic
Systems," presented at Proc. EPE, Toulouse, 2003.
[8] M. Taleb, "Performance of a Maximum Power Point Tracker (MPPT)
Photovoltaic Generator (PVG)," Electric Power Components and
Systems, vol. 35, pp. 367-375, 2007.
[9] M. K. Deshmukh and S. S. Deshmukh, "Modeling of hybrid renewable
energy systems," Renewable and Sustainable Energy Reviews, vol. 12,
pp. 235-249, 2008.
[10] A. N. Celik, "The system performance of autonomous photovoltaic-wind
hybrid energy systems using synthetically generated weather data,"
Renewable Energy, vol. 27, pp. 107-121, 2002.
[11] A. I. l. Merter Üner, "Typical weather data of main Turkish cities for
energy applications," International Journal of Energy Research, vol. 24,
pp. 727-748, 2000.
[12] S. Ransome and P. Funtan, "Why hourly averaged measurement data is
insufficient to model PV system performance accurately," presented at
20th European Photovltaic Solar Energy Conference, Barcelona, 2005.
[13] U. M. Office, "MIDAS Land Surface Stations Data (1853-current)," in
Bristish Atmospheric Data Centre, http://badc.nerc.ac.uk/data/ukmomidas,
Ed., 2006.
[14] H. H. El-Tamaly and A. A. E. Mohammed, "Modeling and simulation of
Photovoltaic/Wind Hybrid Electric Power System Interconnected with
electrical utility," presented at Power System Conference, 2008.
MEPCON 2008. 12th International Middle-East, 2008.
[15] S. Brinkkemper, M. Saeki, and F. Harmsen, "Meta-modelling based
assembly techniques for situational method engineering," Information
Systems, 10th International Conference on Advanced Information
Systems Engineering, vol. 24, pp. 209-228, 1999.
[16] G. D. G. C. Boccaletti, G. Fabbri, E. Nistico, "Energy Models For Stand
Alone Power Systems," presented at EETI - 5th International Congress
on Energy, 2004.
[17] H. X. Yang, L. Lu, and J. Burnett, "Weather data and probability
analysis of hybrid photovoltaic-wind power generation systems in Hong
Kong," Renewable Energy, vol. 28, pp. 1813-1824, 2003.
[18] S. Ashok, "Optimised model for community-based hybrid energy
system," Renewable Energy, vol. 32, pp. 1155-1164, 2007.
[19] J. Lara and H. Vangheluwe, "AToM3: A Tool for Multi-formalism and
Meta-modelling," in Fundamental Approaches to Software Engineering,
2002, pp. 174-188.
[20] J. K. Kaldellis, "An integrated time-depending feasibility analysis model
of wind energy applications in Greece," Energy Policy, vol. 30, pp. 267-
280, 2002.
[21] J. K. Kaldellis, P. Koronakis, and K. Kavadias, "Energy balance analysis
of a stand-alone photovoltaic system, including variable system
reliability impact," Renewable Energy, vol. 29, pp. 1161-1180, 2004.
@article{"International Journal of Business, Human and Social Sciences:58198", author = "James D. Clark and Bernard H. Stark", title = "Correlating Site-Specific Meteorological Data and Power Availability for Small-Scale, Multi-Source Renewable Energy Systems", abstract = "The paper presents a modelling methodology for
small scale multi-source renewable energy systems. Using historical
site-specific weather data, the relationships of cost, availability and
energy form are visualised as a function of the sizing of photovoltaic
arrays, wind turbines, and battery capacity. The specific dependency
of each site on its own particular weather patterns show that unique
solutions exist for each site. It is shown that in certain cases the
capital component cost can be halved if the desired theoretical
demand availability is reduced from 100% to 99%.", keywords = "Energy Analysis, Forecasting, Distributed powergeneration.", volume = "3", number = "6", pages = "965-8", }
