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C, Siddaraju
- Optimal Design of Smart Grid Renewable Energy System Using Homer Programme
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Authors
Affiliations
1 Department of Mechanical Engineering, Ramaiah Institute of Technology, Bangalore 560054, IN
2 Department of Civil Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham,, IN
3 Professor, Engineering Department, University of Technology and Applied Sciences IRBI, Sultanate of Oman 516., IN
1 Department of Mechanical Engineering, Ramaiah Institute of Technology, Bangalore 560054, IN
2 Department of Civil Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham,, IN
3 Professor, Engineering Department, University of Technology and Applied Sciences IRBI, Sultanate of Oman 516., IN
Source
Journal of Mines, Metals and Fuels, Vol 70, No 3A (2022), Pagination: 134-137Abstract
Smart grid is a network created through information technology, communication technology and electrical power systems. It is simply a “smarter” power grid which ensures a two-way communication between user and the power supplier. This work proposes a smart microgrid design hybrid renewable energy system based on solar, grid and wind energy resources. The optimization has been performed using homer software programme to get the best and optimal operation system. Hybrid system combines several energy systems together which offer increased energy reliability and security, and carry a large economic opportunity in terms of cost saving. A typical microgrid system would also include intelligent management that interfaces with the equipment via wired or wireless communication protocols. In the present work the optimization model has been developed for the optimal operation of the system. The modelled system collects meteorological and load data from a town. The optimal hybrid system design is realized by satisfying the load demand, nonlinear seasonal variations and equipment constraints. The main focus of the system is on operation of smart microgrids to maximize usage of green energy, reduction of environmental emissions, decrement of levelized cost of electricity and intelligent management of overall system.Keywords
Homer software, smart grids, india, renewable resources, energy access, optimization model.
References
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- E. A. M. Klaassen, B. Asare-Bediako, W. L. Kling, and A. J. Balkema, (2013): “Application of smart grid technologies in developing areas,” 2013 IEEE Power Energy Soc. Gen. Meet., pp. 1–5,
- Prema V. and Uma Rao K., (2016): “Sizing of Microgrids for Indian Systems using HOMER,” 1st IEEE international conference on power electronics, Intelligent control and Energy systems, pp. 1-5.
- W. D. Kellogg, M. H. Nehrir, V. Gerez, and G. V. Venkataramanan, (1998): “Generation unit sizing and cost analysis for stand-alone wind, photovoltaic and hybrid wind/pv systems,” IEEE Trans. on Energy Conversion, vol. 13, pp.70-75.
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- JatrifaJiwa Gandhi, Suyanto, Ni KetutAryani, Ontoseno Penangsang and Adi Soeprijanto, (2016): “Life-cycle cost analysis of laboratory scale Microgrid operation in power system simulation laboratory using Homer simulation,” International Seminar on intelligent technology and its application.
- H. Rezzouk and A. Mellit, (2015): “Feasibility study and sensitivity analysis of a stand-alone photovoltaic – diesel – battery hybrid energy system in the north of Algeria,” Renewable and Sustainable Energy Reviews, vol. 43, pp. 1134–1150.
- Bharath A., Preethi S., Manjunatha M., Ranjitha B. Tangadagi and Shankara, (2020): “Prediction of temperature data for Ghataprabha Subbasin using change factor method” Eco. Env. & Cons. 26 (November Suppl. Issue): 2020; pp. (S140-S144).
- V. Kesavulu Naidu, Dipayan Banerjee, P.G. Siddheshwar, Shankara, (2018): “Optimal subparametric finite element approach for a Darcy- Brinkman fluid flow problem through a circular channel using curved triangular elements”, IOP Conf. Series: Materials Science and Engineering, 310, 012129, pp. (1-8).
- Optimization of The Gating Design For AA2024 Base Alloy Casting using Numerical Method
Abstract Views :88 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, Ramiah Institute of Technology, Bangalore, Karnataka, India., IN
2 Department of Mechanical Engineering, GITAM School of Technology, (Deemed to be University), Bangalore, Karnataka,India., IN
3 Defence Research Development Organization, Bangalore, Karnataka India., IN
1 Department of Mechanical Engineering, Ramiah Institute of Technology, Bangalore, Karnataka, India., IN
2 Department of Mechanical Engineering, GITAM School of Technology, (Deemed to be University), Bangalore, Karnataka,India., IN
3 Defence Research Development Organization, Bangalore, Karnataka India., IN
Source
Journal of Mines, Metals and Fuels, Vol 70, No 10A (2022), Pagination: 405-409Abstract
Aluminum alloys are widely used engineering materials in a various field. AA2024 alloy is one of the most used alloys in the aerospace as well as automobile industry. At the time of the casting of the alloy, casting defects like porosity, shrinkage, etc. are induced in the alloy. The casting defects can be minimized by optimizing the gating system or by changing the composition of the material. In the present study, the simulation of casting process for optimizing the gating system was done with help of numerical method. Three different gating system designs (i.e., Top Gating design, Bottom gating design and anti-gravity gating design) were simulated for the casting process and the results of the simulations were interpreted. The anti-gravity gating system design was found out to be the best design which exhibits casting with minimum defects.
Keywords
AA2024, Gating System Design, Numerical Method, Solidification.References
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