Modeling Renewables Based Hybrid Power System with Desalination Plant Load Using Neural Networks

  • Nagaraj Ra Desalination and Water Treatment plants at Kalpakkam, India.
  • D. Thirugnana Murthy NDDP, BARC Facilities, Kalpakkam-603 102, India
  • Manik Murthy Rajput IGCAR, Kalpakkam – 603 102, India
Keywords: Renewable energy, Hybrid power system, ANN, Desalination, RO, Solar, Wind, Battery, storage


Hybrid power system is seen as a viable alternative to the conventional systems. Estimating the potential of these hybrid power systems for a selected site is a major input required for making informed decisions. Often, estimation of the kWhr production is a very elaborate and tedious exercise due to lack of a reliable model for the same. This article proposed an Artificial Neural Network based model that can be used to easily estimate the total kWhr/year for a given combination of Solar PV, Wind generator and Battery. The variable load considered for the model is a desalination plant load. The data is modelled using Neural Network and validated. The proposed Neural Network model offers a reliable estimation on the total annual power generation for a given combination of Solar PV, Wind generator and battery capacity,

Author Biographies

Nagaraj Ra, Desalination and Water Treatment plants at Kalpakkam, India.

Nagaraj R., corresponding author, is presently working as Scientific Officer/F in Bhabha Atomic Research Centre, Kalpakkam, India. He obtained his B.E. in Electrical and Electronics Engineering from University of Madras and M.E. in Power Electronics and Industrial Drives. Presently he is pursuing Ph.D. from Homi Bhabha National Institute, Mumbai. He is currently working on development of customized Hybrid power systems for desalination applications using Artificial Intelligence. He is also working on development of Pulsed Electric Field (PEF) based sterilization systems. He has designed, developed and deployed Solar PV-RO based systems. He was involved in design and detailed engineering of electrical systems for Nuclear Desalination Plant at Kalpakkam. He has provided expert services to various Desalination and Water Treatment plants at Kalpakkam, India. Email:

D. Thirugnana Murthy, NDDP, BARC Facilities, Kalpakkam-603 102, India

D. Thirugnana Murthy completed his B.E. in Electronics and Communication from AC College of Engg & Tech., India, M.Tech in Electronics Design from Indian Institute of Science, Bangalore and Ph.D. from HBNI, Mumbai, India. He has completed one year Orientation Programme on Nuclear Engineering at BARC Training School, Mumbai and has under gone advanced course on Software Project Management at NCST, Bangalore. He is presently the Head of Electronics and Instrumentation Division at Indira Gandhi Centre for Atomic Research, Govt. of India at Kalpakkam. He has over 31 years of experience in research of Electronics and Instrumentation systems for nuclear power applications particularly with respect to Fast Breeder Technologies. He has served as Guest Faculty for various universities including University of Madras and guided many post graduate students for their thesis work. Affiliation: NDDP, BARC Facilities, Kalpakkam-603 102, India.

Manik Murthy Rajput, IGCAR, Kalpakkam – 603 102, India

Manik Murthy Rajput completed his B.E. in Mechanical Engineering and also completed One year Orientation Programme on Nuclear Engineering at BARC Training School, India. Currently he is the Head for Nuclear Desalination activities at BARC, Kalpakkam. He has over 30 years of expertise in various aspects of nuclear energy programme. Affiliation: IGCAR, Kalpakkam – 603 102, India.


Delyannis E. Historic background of desalination and renewable energies. Solar

Energy 2003;75(5):357–66

Nagaraj. R, Swaminathan. P, “Feasibility Analysis of Eco-Friendly Hybrid Power

Based R.O. for Remote Locations” (ISSN 2249 2127), Int. J. of Environmental

Sciences, Vol. No.1 (2) Jan–Mar 2012, pp 226 -232.

Garcia-Rodriguez L. Renewable energy applications in desalination: state of the art.

Solar Energy 2003;75(5):381–93

Huneke et al.: Optimisation of hybrid off-grid energy systems by linear

programming. Energy, Sustainability and Society 2012 2:7

Luque, Antonio, and Steven Hegedus, eds. Handbook of photovoltaic science and

engineering. John Wiley & Sons, 2011.

Thomson M, Infield D. A photovoltaic-powered seawater reverse-osmosis system

without batteries. Desalination 2003;153(1–3):1–8.

Tzen E, Perrakis K, Baltas P. Design of a stand alone PV desalination system for rural

areas. Desalination 1998;119(1–3):327–33

Al Suleimani Z, Nair NR. Desalination by solar powered reverse osmosis in a remote

area of Sultanate of Oman. Appl Energy 2000;64:367–80

Habali SM, Saleh IA. Design of stand-alone brackish water desalination wind energy

system for Jordan. Solar Energy 1994;52(6):525–32

Miranda MS, Infield D. A wind-powered seawater reverse osmosis system without

batteries. Desalination 2003;153(1–3):9–16

Bakos G.C., 2002 “Feasibility study of a hybrid wind/hydropower-system for low

cost electricity production,” Applied Energy, Vol. 72, Issue 3-4, pp. 599–608

Nagaraj, R., “Renewable energy based small hybrid power system for desalination

applications in remote locations,” IEEE Xplore Power Electronics (IICPE), vol., no., pp.1-

, ISSN :2160-3162, Print ISBN: 978-1-4673-0931-8 doi: 10.1109/IICPE.2012.6450437