A novel multi-period double frontier network DEA to sustainable location optimization of hybrid wind-photovoltaic power plant with real application

Abstract Due to the harmful pollution releasing from fossil fuels burning, a growing trend to use renewable energies has been emerged. Nevertheless, using only one renewable energy resource fails to meet electrical power demands on account of its intermittent nature. To overcome this problem, hybrid power plants are developed. The present paper makes an attempt to determine the suitable locations to establish hybrid power plants which can guarantee the feasibility of these systems. Thanks to the availability in the most regions and complementary characteristics, hybrid wind and photovoltaic (PV) systems are taken into account. Geographical and sustainability criteria including economic, social, and environmental aspects are defined to assess the efficiency of candidate locations for hybrid power plant establishment. A novel algorithm utilizing double frontier network data envelopment analysis (NDEA) has been proposed in which both single-period and multi-period programming models are considered. This algorithm sets out to determine the suitable location for hybrid power plant establishment by calculating the efficiency of each candidate locations. Subsequently, the presented approach can rank the candidate locations’ priority to establish hybrid power plant. To evaluate the performance of the presented approach, a real case study in Iran is investigated. The results reveal that selected locations are closely nearby cardinal points. On the other hand, selected locations are in neighborhood by the provinces with highest electricity consumptions. Based on these findings, the proposed approach manages to meet decision-makers’ expectations.

[1]  Mir Saman Pishvaee,et al.  An integrated data envelopment analysis–mathematical programming approach to strategic biodiesel supply chain network design problem , 2017 .

[2]  M. Pishvaee,et al.  A non-radial DEA model for location optimization of Jatropha curcas L. cultivation. , 2015 .

[3]  L. Seiford,et al.  Profitability and Marketability of the Top 55 U.S. Commercial Banks , 1999 .

[4]  Chiang Kao,et al.  Efficiency measurement for parallel production systems , 2009, Eur. J. Oper. Res..

[5]  Joe Zhu,et al.  Network DEA: Additive efficiency decomposition , 2010, Eur. J. Oper. Res..

[6]  Byron A. Neal,et al.  Analysis of off-grid hybrid wind turbine/solar PV water pumping systems , 2012 .

[7]  R. P. Saini,et al.  A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control , 2014 .

[8]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[9]  Seddik Bacha,et al.  Modeling and control of hybrid photovoltaic wind power system with battery storage , 2015 .

[10]  Jiangfeng Wang,et al.  Performance evaluation and accuracy enhancement of a day-ahead wind power forecasting system in China , 2012 .

[11]  Toshiyuki Sueyoshi,et al.  Photovoltaic power stations in Germany and the United States: A comparative study by data envelopment analysis , 2014 .

[12]  S. Lozano.  Slacks-based inefficiency approach for general networks with bad outputs: An application to the banking sector , 2016 .

[13]  Lin Lu,et al.  Weather data and probability analysis of hybrid photovoltaic–wind power generation systems in Hong Kong , 2003 .

[14]  M. Farrell.  The Measurement of Productive Efficiency , 1957 .

[15]  R. Billinton,et al.  Reliability/Cost Implications of PV and Wind Energy Utilization in Small Isolated Power Systems , 2001, IEEE Power Engineering Review.

[16]  Himangshu Ranjan Ghosh,et al.  A wind–PV-battery hybrid power system at Sitakunda in Bangladesh , 2009 .

[17]  M. Pishvaee,et al.  A risk averse cross-efficiency data envelopment analysis model for sustainable switchgrass cultivation location optimization , 2017 .

[18]  Reza Farzipoor Saen,et al.  Assessing sustainability of supply chains by double frontier network DEA: A big data approach , 2017, Comput. Oper. Res..

[19]  He Jiang,et al.  A novel approach for forecasting global horizontal irradiance based on sparse quadratic RBF neural network , 2017 .

[20]  He Jiang,et al.  A multi-stage intelligent approach based on an ensemble of two-way interaction model for forecasting the global horizontal radiation of India , 2017 .

[21]  Mir Saman Pishvaee,et al.  Sustainable cultivation location optimization of the Jatropha curcas L. under uncertainty: A unified fuzzy data envelopment analysis approach , 2016 .

[22]  He Jiang,et al.  Forecast of hourly global horizontal irradiance based on structured Kernel Support Vector Machine: A case study of Tibet area in China , 2017 .

[23]  Lawrence M. Seiford,et al.  Data envelopment analysis (DEA) - Thirty years on , 2009, Eur. J. Oper. Res..

[24]  Ravi Shankar,et al.  An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India , 2012 .

[25]  Gianfranco Rizzo,et al.  Application of dynamic programming to the optimal management of a hybrid power plant with wind turbines, photovoltaic panels and compressed air energy storage , 2012 .

[26]  S. Rafiee,et al.  Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach , 2011 .

[27]  Ümit Sağlam.  A two-stage data envelopment analysis model for efficiency assessments of 39 state’s wind power in the United States , 2017 .

[28]  Abdullah Al-Badi,et al.  A review of optimum sizing of hybrid PV–Wind renewable energy systems in oman , 2016 .

[29]  Nazli Yonca Aydin,et al.  GIS-based environmental assessment of wind energy systems for spatial planning: A case study from Western Turkey , 2010 .

[30]  Chiang Kao,et al.  Production , Manufacturing and Logistics Multi-period efficiency and Malmquist productivity index in two-stage production systems , 2013 .

[31]  Ali Azadeh,et al.  Location optimization of wind power generation–transmission systems under uncertainty using hierarchical fuzzy DEA: A case study , 2014 .

[32]  Kanzumba Kusakana,et al.  Hybrid renewable power systems for mobile telephony base stations in developing countries , 2013 .

[33]  Shantha Gamini Jayasinghe,et al.  A review on recent size optimization methodologies for standalone solar and wind hybrid renewable energy system , 2017 .

[34]  Shuai Geng,et al.  Multi-criteria decision making on selection of solar–wind hybrid power station location: A case of China , 2014 .

[35]  Ahmed Al-Salaymeh,et al.  Electrical production for domestic and industrial applications using hybrid PV-wind system , 2013 .

[36]  M. Suha Yazici,et al.  A mobile off-grid platform powered with photovoltaic/wind/battery/fuel cell hybrid power systems , 2013 .

[37]  K. Palanisamy,et al.  Optimization in microgrids with hybrid energy systems – A review , 2015 .

[38]  Rajesh Kumar Nema,et al.  A current and future state of art development of hybrid energy system using wind and PV-solar: A review , 2009 .

[39]  Chiang Kao,et al.  Efficiency measurement for network systems: IT impact on firm performance , 2010, Decis. Support Syst..

[40]  Toshiyuki Sueyoshi,et al.  DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries , 2014 .

[41]  A. Drexl,et al.  Location and Layout Planning: An International Bibliography , 1985 .

[42]  Ali Azadeh,et al.  Optimum estimation and forecasting of renewable energy consumption by artificial neural networks , 2013 .

[43]  Yonghong Kuang,et al.  A review of renewable energy utilization in islands , 2016 .

[44]  T. Sueyoshi,et al.  A literature study for DEA applied to energy and environment , 2017 .

[45]  Chun-Yu Lin,et al.  An Integrated Decision-Making Model for the Location of a PV Solar Plant , 2015 .

[46]  Lawrence V. Snyder,et al.  Facility location under uncertainty: a review , 2006 .

[47]  Kwai-Sang Chin,et al.  A new approach for the selection of advanced manufacturing technologies: DEA with double frontiers , 2009 .

[48]  Mark S. Daskin,et al.  Strategic facility location: A review , 1998, Eur. J. Oper. Res..

[49]  Ersan Kabalci,et al.  Design and analysis of a hybrid renewable energy plant with solar and wind power , 2013 .

[50]  K. S. Sandhu,et al.  Hybrid wind/photovoltaic energy system developments: Critical review and findings , 2015 .

[51]  Mahmoud Moghavvemi,et al.  Energy management strategies in hybrid renewable energy systems: A review , 2016 .

[52]  Ali Azadeh,et al.  Location optimization of wind plants in Iran by an integrated hierarchical Data Envelopment Analysis , 2011 .

[53]  Chiang Kao,et al.  Multi-period efficiency measurement in data envelopment analysis: The case of Taiwanese commercial banks , 2014 .

[54]  Ali Naci Celik,et al.  Optimisation and techno-economic analysis of autonomous photovoltaic–wind hybrid energy systems in comparison to single photovoltaic and wind systems , 2002 .

[55]  Chiang Kao,et al.  Efficiency decomposition in network data envelopment analysis: A relational model , 2009, Eur. J. Oper. Res..

[56]  Chiang Kao,et al.  Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan , 2008, Eur. J. Oper. Res..