Design and optimization of RES based standalone hybrid system for remote applications

Priyanka, .; Bath, S. K.; Rizwan, M.

doi:10.1109/isgt.2017.8086042

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…For simulation and optimization purposes, Homer software has been used. This simulates many feasible system configurations for the considered system to identify and scale the best possible configuration based on the least Net Present Cost (NPC) [7]. Each system component and their input parameters like cost, size, lifetime, efficiency etc., are given in Table II.…”

Section: Optimization Analysismentioning

confidence: 99%

Economic and Environmental Assessment of Smart Distributed Power Systems in India for Emission Reductions

Chippada*,

Reddy

2020

IJRTE

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As the global warming is increasing day by day, distributed generation based on renewable energy will play a major role in the production of electricity. Renewable energy sources are considered as the most viable alternative energy sources to be used in the place of conventional fossil fuels. Microgrids are the fundamental elements in future smart grid distributed generation systems. This paper illustrates various options for supply of electric power from renewable sources along with storage units and main grid to different types of loads. The sizing of the distribution system and the economic analysis were performed using Homer, computer software designed by National Renewable Energy Laboratory (NREL) at Colorado, United States in 1993. This paper will analyze the Cost of Energy (COE) and Net Present Cost (NPC) for various loads and the system configuration with minimal COE and NPC is considered as the optimal solution for each type of load while reducing the emissions.

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Section: Optimization Analysismentioning

confidence: 99%

Economic and Environmental Assessment of Smart Distributed Power Systems in India for Emission Reductions

Chippada*,

Reddy

2020

IJRTE

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“…Another approach is the scheduling of daily irrigation according to the operation of photovoltaic-powered water pumping systems [10,11]. Research is also effectuated on the usage of crop residues to power cost-free fuelled biomass generators [12] or the generation of biogas through anaerobic fermentation as well as from crop residues use in order to power biogas generators [13,14]. These pre-analysis calculations carried out before the simulation address the dependency of agricultural processes (water and food systems) on energy technologies, portrait the local eco-system more competently and assess rural development goals.…”

Section: Literature Reviewmentioning

confidence: 99%

Promoting Rural Electrification in Sub-Saharan Africa: Least-Cost Modelling of Decentralized Energy-Water-Food Systems: Case Study of St. Rupert Mayer, Zimbabwe

Winklmaier

Santos

2018

Springer Proceedings in Energy

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The outstanding solar potential in Sub-Saharan Africa (SSA) enables significantly cheaper levelized costs of electricity for decentral solar systems compared to the commonly used diesel generators. Yet, the limited purchase power in SSA impedes rural electrification by solar systems due to their high investment costs. Decentralized Energy-Water-Food systems (EWFS) have the potential to solve this problem. Using solar-powered water pumps, rural communities can supply water for drinking and irrigation. Thereby, agriculture does not depend on rainfall solely and can be done all over the year, which leads to increasing productivity. The increased crop production reduces the community's expenses for nutrition and enables profit by sales, which in turn enables a payback of the initial investment costs of the solar system. The increased amount of biomass waste enables economically feasible small-scale biogas production. The biogas can be used for electricity production by biogas motors. These can supply private, social or small commercial loads, which enhance the local productivity even more. To identify the least-cost system design regarding the supply of electricity, water and food for the rural village of St. Rupert Mayer, Zimbabwe, the linear optimization model urbs was adapted. urbs was developed for energy system modelling, yet its sector coupling feature allows to add processes like water pumps and commodities such as biogas. The modelling results show that a holistic system including photovoltaics (PV), water pumps, enhanced agriculture and biogas production reduces the levelized costs of electricity (LCOE) from 0.45 USD/kWh by power supply from diesel generators to 0.16 USD/kWh. The modelling results shall support local governments and entrepreneurs in their decision-making.

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“…A knowledge-based approach to minimise the capital cost of the hybrid system has also been reported in the literature (Ashenayi and Ramakumar, 1990;Ramakumar et al, 1992). Hybrid optimisation model for electric renewable (HOMER) software is being used by several authors for optimal modelling and sizing of hybrid systems based on net present cost (NPC) (Anand et al, 2016;Chauhan and Saini, 2016b;Khan and Iqbal, 2005;Kumaravel and Ashok, 2012;Prasada and Natarajan, 2006;Priyanka et al, 2017;Razak et al, 2007). Koutroulis et al (2006) employed genetic algorithm (GA) to find out the optimal number of components of a SPV/wind-based hybrid system, while minimising the total cost of the system under condition of zero load rejection.…”

Section: Introductionmentioning

confidence: 99%

Renewable energy-based hybrid model for rural electrification

Anand

Bath

Rizwan

2019

IJETP

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The distributed power generation is playing an important role for the rural electrification in developing countries like India. In this work, a hybrid model based on renewable energy sources has been developed on the basis of availability of the resources at the proposed site. This paper present the hybrid model based on biomass-biogas-solar PV to supply the electric power in rural areas of Sonipat, Haryana, India where grid supply is not available or rarely available. The hybrid system is modelled by considering various parameters associated with each system component. Different models are developed on the basis of available resources and optimised for total annualised cost (TAC) using particle swarm optimisation (PSO) approach. Obtained results shows that the TAC of the optimal configuration at 0% unmet load is $ 64,109 and the cost of energy is $ 0.065 per kWh. The results at various unmet loads are also presented and found satisfactory. The results of the proposed approach are compared with harmony search (HS) algorithm and found in the desired limits.

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Design and optimization of RES based standalone hybrid system for remote applications

Cited by 5 publications

References 19 publications

Economic and Environmental Assessment of Smart Distributed Power Systems in India for Emission Reductions

Economic and Environmental Assessment of Smart Distributed Power Systems in India for Emission Reductions

Promoting Rural Electrification in Sub-Saharan Africa: Least-Cost Modelling of Decentralized Energy-Water-Food Systems: Case Study of St. Rupert Mayer, Zimbabwe

Renewable energy-based hybrid model for rural electrification

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