माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत
Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA

Deemed University

(Declared under Distinct Category by Ministry of Education, Government of India)


माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत

Deemed to be University

(Declared under Distinct Category by Ministry of Education, Government of India)


Gola Ka Mandir, Gwalior (M.P.) - 474005, INDIA
Ph.: +91-751-2409300, E-mail: director@mitsgwalior.in, Website: www.mitsgwalior.in


A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques

Direct Link of the Paper


The increasing energy prices and pollutants from fossil fuels that threaten the climate, there is a growing preference for renewable energy. The implementation of hybrid renewable energy systems (HRES) has been a challenging task due to its interference, uncertainty, and unpredictable nature. Also, it comes with high net present cost and multi-dimensional architecture facets. It is critical to evaluate HRES using a variety of economic and sizing criteria. This paper aims to provide a succinct review of recent progress in the field of optimization of different HRES using various optimization techniques based on classical methods, artificial intelligence (AI), hybrid algorithms, and software-based optimization tools. While comparing classical and AI-based techniques, the AI-based techniques are found promising and provide a global solution in less time. However, there are deficiencies in AI-based techniques. To overcome those, a combination of two or more algorithms, known as hybrid optimization algorithm can be adopted to solve problems more quickly, reliably, and effectively. Apart from different algorithms, there are several popular optimization software tools. Among them, the HOMER software tool is one of the most popular as it is simple to use. As the research activities in the optimization of HRES are increasing, the concentration on sources such as hydro, geothermal, biomass, and biofuel has to be given due consideration. This analysis will inform readers about the current and evolving state of optimization approaches for HRES applications and enable them to choose the most appropriate strategy as per requirement.


Economic Emission Dispatch of Microgrid

the economically self-sufficient microgrid is planned to provide electric power and heat demand. The combined heat and power-based microgrid needs strategic placement of distributed generators concerning optimal size, location, and type. As fossil fuel cost and emission depend mainly on the types of distributed generator units used in the microgrid, economic emission dispatch is performed for an hour with a static load demand and multiple load demands over 24 h of a day. The TOPSIS ranking approach is used as a tool to obtain the best compromise solution. Harris Hawks Optimization (HHO) is used to solve the problem. For validation, the obtained results in terms of cost, emission, and heat are compared with the reported results by DE and PSO, which shows the superiority of HHO over them. The impact of renewable integration in terms of cost and emission is also investigated. With renewable energy integration, fuel cost is reduced by 18% and emission is reduced by 3.4% for analysis under static load demand, whereas for the multiple load demands over 24 h, fuel cost is reduced by 14.95% and emission is reduced by 5.58%

paper link


Hybrid greenhouse solar dryer (Drying behavior and Economic analysis )

Drying behavior and Economic analysis  - Dr. Manoj Kumar Gaur 

Mango leather (Aam Papad) drying in hybrid
greenhouse solar dryer with evacuated tube
collector and finned drying tray: drying behavior
and economic analysis

Research Paper Link 

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