International Research Journal of Advanced Engineering and Science ISSN (Online): 2455-9024 303 Mannepalli Nithin Chowdary, Mahesh Kumar Nagar, Manish Kumar, Nishi Kant, M. K. Paswan, and Sandip Kumar, “Hybrid system analysis with renewable energy and thermal energy for health clinic – A case study,” International Research Journal of Advanced Engineering and Science, Volume 3, Issue 2, pp. 303-308, 2018. Hybrid System Analysis with Renewable Energy and Thermal Energy for Health Clinic – A Case Study Mannepalli Nithin Chowdary 1 , Mahesh Kumar Nagar 2 , Manish Kumar 3 , Nishi Kant 4 , M. K. Paswan 5 , Sandip Kumar 6 1, 2, 3, 6 Research Scholar Deptt of Mechanical Engg, N.I.T Jamshedpur 4 Research Scholar Deptt of Envirmental Engg, I.I.T (ISM) Danbad 5 Professor & HOD Deptt of Mechanical Engg, N.I.T Jamshedpur Abstract— This paper assessed optimal configurations of hybrid renewable system for health clinic in Jamshedpur. The clinic consists of doctor rooms, pharmacy, dressing room, pantry, day care and other equipment with average total daily energy consumption of 219.97kWh and 31.54kWpeak demand. The analysis is carried out by investigating the potentials of solar energy and collecting data from different sources. Hybrid Optimization Model for Electric Renewable (HOMER) software is used to analyse the available data and economic feasibility of the proposed hybrid power system, by considering two energy resources; photovoltaic (PV) and diesel with battery energy storage. The result obtained revealed hybrid PV/diesel/battery system as the most cost-effective configuration for powering health clinic. The selected optimal configuration is far better than the conventional diesel stand-alone system in terms of cost and emission reduction. I. INTRODUCTION The use of conventional resources favours global warming, pollution, acid rains, gas emissions and alarm signals that warn that oil - the main source of transport fuels - is about to run out. Renewable energy sources (RES) offer an efficient solution to the global warming and high fuel cost. Therefore, there is a growing interest in RES, particularly photovoltaic (PV) and wind energy. Although wind and solar has several advantages, a solar or wind generator in a stand-alone system cannot supply the load continuously due to their intermittent nature. As load demands are always changing with time, the changes in solar or wind energy generations do not always match with the time distribution of consumer’s demand. Therefore, there is a need of additional battery storage or other components for providing continuous power supply to the load. Recently, hybrid power systems using RE are becoming most popular due to their potential advantages. It has been investigated that a hybrid PV/Wind/battery system is a secure source of electricity. Although hybrid renewable energy systems are adopted, one of the challenges is to design an optimal energy management system to satisfies the load, taking into account the intermittent nature of these renewable energy sources and the variation in energy demand. The solar hybrid power system that operates out of its specification rate can lead to lowering the system efficiency and loss in financial. The system load and the capacity of available energy sources is important to highlight so that the hybrid power plants work more efficiently. In the hybrid energy system sizing plan, an accurate, reliable detail about the energy potential at a specific location is the most important thing. II. METHODOLOGY The simulated hybrid renewable energy system consists wind turbine, photovoltaic (PV) array with a power converter, battery and Diesel generator. The battery is added to the system as a backup unit and acts as a storage system. The system is designed by considering a health clinic. The solar resource data of the site was taken from online data of NASA Methodological department and National Renewable Energy Lab (NREL). The field survey has been conducted to get daily load profile and energy usage pattern of a health clinic for simulation. The HOMER software is used to determine the optimal sizing and operational strategy for a hybrid renewable energy system based on three principal tasks which are simulations, optimization and sensitivity analysis. The following subsection discusses the three principal tasks of the HOMER software. Homer: Simulation HOMER simulates the operation of the system based on the components chosen by the designer. In this process, HOMER will perform the energy balance calculation based on the system configuration consisting several numbers and sizes of the component. In this case study, PV array system, wind turbine, diesel generator with battery and converter are the components chosen for the analysis. HOMER simulates the system based on the estimation of installing cost, replacement cost, operation and maintenance cost, fuel and interest rate. Homer: Optimization The optimization process is based on the technical characteristics of the system and life cycle cost (LCC) of the system. HOMER display a list of configurations sorted based on the Total Net Present Cost (TNPC). It can be used to compare different types of system configuration from the lowest to the highest TNPC. However, the system configuration based TNPC is also affected by sensitivity variable. Homer: Sensitivity Analysis The HOMER software will repeat the optimization process for each sensitivity variables for the hybrid renewable energy system. The sensitivity variables here taken are such as fuel