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East-West Orientation of PV Systems and Neighbourhood Energy Exchange to Maximize Local Photovoltaics Energy Consumption

Year 2014, Volume: 4 Issue: 3, 566 - 570, 01.09.2014

Abstract

Increasing local photovoltaics (PV) utilization can reduce energy transportation losses and mitigate overvoltages and transformer overloadings. Strategies so far investigated and applied for this purpose are load shifting, the use of electricity storages, and the installation of east-west instead of south-oriented PV systems. In this article, we investigate and analyze the potential of a novel concept for the purpose of local PV consumption maximization based on neighbourhood energy exchange in combination with different cardinal directions of PV systems installed on buildings within a neighbourhood. Results demonstrate that this novel concept can lead to significantly increased local PV consumption rates in relation to today’s default configurations without considerable extra costs or control efforts.

References

  • E. Vrettos, A. Witzig, R. Kurmann, S. Koch, G. Andersson, Maximizing local PV utilization using small- scale batteries and flexible thermal loads, EU PVSEC, 2013.
  • M. Castillo-Cagigal, E. Caamaño-Martín, E. Matallanas, D. Masa-Bote, A. Gutiérrez, F. Monasterio-Huelin, J. Jiménez-Leube, PV self-consumption optimization with storage and Active DSM for the residential sector, Solar Energy, 85(9):2338-2348, September 2011.
  • R. Velik, Cognitive architectures as building energy management system for future renewable energy scenarios – A work in progress report, IJSEI International Journal on Science and Engineering Investigations, 2(17): 68-72, 2013.
  • E. Matallanas, M. Castillo-Cagigal, A. Gutiérrez, F. Monasterio-Huelin, E. Caamaño-Martín, D. Masa, J. Jiménez-Leube, Neural network controller for active demand-side management with PV energy in the residential sector, Applied Energy, 91(1):90-97, March 2012.
  • R. Velik, G. Zucker, D. Dietrich, Towards automation 2.0: A neuro-cognitive model for environment recognition, decision-making, and action execution. EURASIP Journal on Embedded Systems, Special Issue on Networked Embedded Systems for Energy Management and Buildings, 2011:11, 2011.
  • R. Velik, The Influence of Battery Storage Size on Photovoltaics Energy Self-Consumption for Grid- Connected Residential Buildings, IJARER International Journal of Advanced Renewable Energy Research, 2(6), 2013.
  • G. Mokhtari, G. Nourbakhsh, A. Gosh, Optimal sizing of combined PV-energy storage for a grid-connected residential building, Advances in Energy Engineering (AEE), 1(3), 2013.
  • R. Yu, J. Keissl, S. Martinez, Storage size determination for
  • Transactions on Sustainable Energy, 4(1): 68-81, 2013. systems,
  • IEEE [9] C. Jhu, Y. Wang, C. Wen, C. Shu, Thermal runaway potential of LiCoO2 and Li(Ni1/3Co1/3Mn1/3)O2 batteries
  • methodology, Applied Energy, 100:127-131, December 2012. with adiabatic
  • calorimetry [10] W. Zhu, Y. Zhu, Z. Davis, B. Tatarchuk, Energy efficiency and capacity retention of Ni–MH batteries for storage applications, Applied Energy, 106: 307-313, June 2013.
  • D. Staudacher, Efficient east-west oriented PV systems with one MPP tracker, 25th European Photovoltaic Solar Energy Conference and Exhibition / 5th World Conference on Photovoltaic Energy Conversion, 2010.
  • M. Seyedmahmoudian, S. Mekhilef, R. Rahmani, R. Yusof, S. Asghar, Maximum power point tracking of partial shaded photovoltaic array using an evolutionary algorithm: A particle swarm optimization technique, Journal of Renewable and Sustainable Energy, 6(023102), 2014.
  • R. Velik, P, Nicolay, A cognitive decision agent architecture for optimal energy management of microgrids, Energy Conversion and Management, 86:831-847, October 2014.
  • R. Velik, P. Nicolay, Grid-price-dependent energy management in microgrids using a modified simulated annealing triple-optimizer, Applied Energy, 130:384- 395, October 2014.
  • S@tel-Light – The European Database of Daylight and Solar Radiation, Accessed: Sept. 30, 2013. [Online]. Available: http://www.satel-light.com/core.htm
  • ADRES-Concept – Konzeptentwicklung für ADRES Autonome Dezentrale Regenerative Energie Systeme, Accessed: Sept. 30, 2013. [Online]. Available: http://www.ea.tuwien.ac.at/projekte/adres_concept/ R.  Velik,  H.
Year 2014, Volume: 4 Issue: 3, 566 - 570, 01.09.2014

Abstract

References

  • E. Vrettos, A. Witzig, R. Kurmann, S. Koch, G. Andersson, Maximizing local PV utilization using small- scale batteries and flexible thermal loads, EU PVSEC, 2013.
  • M. Castillo-Cagigal, E. Caamaño-Martín, E. Matallanas, D. Masa-Bote, A. Gutiérrez, F. Monasterio-Huelin, J. Jiménez-Leube, PV self-consumption optimization with storage and Active DSM for the residential sector, Solar Energy, 85(9):2338-2348, September 2011.
  • R. Velik, Cognitive architectures as building energy management system for future renewable energy scenarios – A work in progress report, IJSEI International Journal on Science and Engineering Investigations, 2(17): 68-72, 2013.
  • E. Matallanas, M. Castillo-Cagigal, A. Gutiérrez, F. Monasterio-Huelin, E. Caamaño-Martín, D. Masa, J. Jiménez-Leube, Neural network controller for active demand-side management with PV energy in the residential sector, Applied Energy, 91(1):90-97, March 2012.
  • R. Velik, G. Zucker, D. Dietrich, Towards automation 2.0: A neuro-cognitive model for environment recognition, decision-making, and action execution. EURASIP Journal on Embedded Systems, Special Issue on Networked Embedded Systems for Energy Management and Buildings, 2011:11, 2011.
  • R. Velik, The Influence of Battery Storage Size on Photovoltaics Energy Self-Consumption for Grid- Connected Residential Buildings, IJARER International Journal of Advanced Renewable Energy Research, 2(6), 2013.
  • G. Mokhtari, G. Nourbakhsh, A. Gosh, Optimal sizing of combined PV-energy storage for a grid-connected residential building, Advances in Energy Engineering (AEE), 1(3), 2013.
  • R. Yu, J. Keissl, S. Martinez, Storage size determination for
  • Transactions on Sustainable Energy, 4(1): 68-81, 2013. systems,
  • IEEE [9] C. Jhu, Y. Wang, C. Wen, C. Shu, Thermal runaway potential of LiCoO2 and Li(Ni1/3Co1/3Mn1/3)O2 batteries
  • methodology, Applied Energy, 100:127-131, December 2012. with adiabatic
  • calorimetry [10] W. Zhu, Y. Zhu, Z. Davis, B. Tatarchuk, Energy efficiency and capacity retention of Ni–MH batteries for storage applications, Applied Energy, 106: 307-313, June 2013.
  • D. Staudacher, Efficient east-west oriented PV systems with one MPP tracker, 25th European Photovoltaic Solar Energy Conference and Exhibition / 5th World Conference on Photovoltaic Energy Conversion, 2010.
  • M. Seyedmahmoudian, S. Mekhilef, R. Rahmani, R. Yusof, S. Asghar, Maximum power point tracking of partial shaded photovoltaic array using an evolutionary algorithm: A particle swarm optimization technique, Journal of Renewable and Sustainable Energy, 6(023102), 2014.
  • R. Velik, P, Nicolay, A cognitive decision agent architecture for optimal energy management of microgrids, Energy Conversion and Management, 86:831-847, October 2014.
  • R. Velik, P. Nicolay, Grid-price-dependent energy management in microgrids using a modified simulated annealing triple-optimizer, Applied Energy, 130:384- 395, October 2014.
  • S@tel-Light – The European Database of Daylight and Solar Radiation, Accessed: Sept. 30, 2013. [Online]. Available: http://www.satel-light.com/core.htm
  • ADRES-Concept – Konzeptentwicklung für ADRES Autonome Dezentrale Regenerative Energie Systeme, Accessed: Sept. 30, 2013. [Online]. Available: http://www.ea.tuwien.ac.at/projekte/adres_concept/ R.  Velik,  H.
There are 18 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Rosemarie Velik This is me

Publication Date September 1, 2014
Published in Issue Year 2014 Volume: 4 Issue: 3

Cite

APA Velik, R. (2014). East-West Orientation of PV Systems and Neighbourhood Energy Exchange to Maximize Local Photovoltaics Energy Consumption. International Journal Of Renewable Energy Research, 4(3), 566-570.
AMA Velik R. East-West Orientation of PV Systems and Neighbourhood Energy Exchange to Maximize Local Photovoltaics Energy Consumption. International Journal Of Renewable Energy Research. September 2014;4(3):566-570.
Chicago Velik, Rosemarie. “East-West Orientation of PV Systems and Neighbourhood Energy Exchange to Maximize Local Photovoltaics Energy Consumption”. International Journal Of Renewable Energy Research 4, no. 3 (September 2014): 566-70.
EndNote Velik R (September 1, 2014) East-West Orientation of PV Systems and Neighbourhood Energy Exchange to Maximize Local Photovoltaics Energy Consumption. International Journal Of Renewable Energy Research 4 3 566–570.
IEEE R. Velik, “East-West Orientation of PV Systems and Neighbourhood Energy Exchange to Maximize Local Photovoltaics Energy Consumption”, International Journal Of Renewable Energy Research, vol. 4, no. 3, pp. 566–570, 2014.
ISNAD Velik, Rosemarie. “East-West Orientation of PV Systems and Neighbourhood Energy Exchange to Maximize Local Photovoltaics Energy Consumption”. International Journal Of Renewable Energy Research 4/3 (September 2014), 566-570.
JAMA Velik R. East-West Orientation of PV Systems and Neighbourhood Energy Exchange to Maximize Local Photovoltaics Energy Consumption. International Journal Of Renewable Energy Research. 2014;4:566–570.
MLA Velik, Rosemarie. “East-West Orientation of PV Systems and Neighbourhood Energy Exchange to Maximize Local Photovoltaics Energy Consumption”. International Journal Of Renewable Energy Research, vol. 4, no. 3, 2014, pp. 566-70.
Vancouver Velik R. East-West Orientation of PV Systems and Neighbourhood Energy Exchange to Maximize Local Photovoltaics Energy Consumption. International Journal Of Renewable Energy Research. 2014;4(3):566-70.