Government Polytechnic

Mumbai, India

Government Polytechnic

Mumbai, India
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Kumar D.,Government Polytechnic | Katoch S.S.,National Institute of Technology Hamirpur
Renewable and Sustainable Energy Reviews | Year: 2017

A large number of run of the river (RoR) hydropower projects have been planned in hydro rich western Himalayan region. However, public safety aspects are not given due consideration during operation of these projects and many people had lost their lives in the recent past. This study aims at reviewing public safety norms/aspects in these regions and suggests suitable safety measures. Qualitative approach has been adopted to study the problem in detail by undertaking a case study in Himachal Pradesh, a western Indian Himalayan hydro rich state. The study concludes that there is an urgent need to develop and effectively implement public safety standards and/or manuals for operation of RoR hydropower projects in the region under study. The study may be useful in creating awareness and framing of imperative public safety norms for operational RoR hydropower projects in western Himalayan region of India and similar other regions across the world. © 2016 Elsevier Ltd

Luthra S.,Government Polytechnic | Kumar S.,International Institute of Technology and Management | Garg D.,National Institute of Technology Kurukshetra | Haleem A.,Jamia Millia Islamia University
Renewable and Sustainable Energy Reviews | Year: 2015

Rapidly increasing energy demand and growing concern about economic and environmental consequences call for renewable/sustainable energy technologies? adoption in India. Renewable/sustainable energy technologies have faced a number of constraints that have affected their rate of adoption. In this paper an attempt has been made to identify and rank the major barriers in the adoption of 'renewable and green' energy technologies in the Indian context. Twenty-eight barriers have been identified from an extensive literature review. These identified barriers have been categorized into seven dimensions of barriers, i.e. Economical & Financial; Market; Awareness & Information; Technical; Ecological and Geographical; Cultural & Behavioral; and Political & Government Issues. Analytical Hierarchy Process (AHP) technique has been utilized for ranking of barriers to adopt renewable/sustainable technologies in the Indian context. All pair comparisons in AHP have been made based on experts' opinions (selected from academia and industry). Sensitivity analysis has also been made to investigate the priority ranking stability of barriers to adopt renewable/sustainable technologies in the Indian context. This paper may help practitioners, regulators and academician focus their future efforts in adoption of 'renewable/sustainable energy technologies' in India. Further, this understanding may be helpful in framing the policies and strategies towards adoption of renewable/sustainable energy technologies. © 2014 Elsevier Ltd. All rights reserved.

Luthra S.,Government Polytechnic | Kumar S.,International Institute of Technology and Management | Kharb R.,Government Polytechnic | Shimmi S.L.,Indian National Institute of Engineering
Renewable and Sustainable Energy Reviews | Year: 2014

Global electricity demands are increasing at rapid pace. Energy supply, their usage and technologies involved need to be more economical, environment friendly and socially sustainable. Efforts are being done all over the globe to reduce this greenhouse effect; and renewable energy technologies to combat climate changes, which require extensive changes to the current electricity generation and distribution systems. To meet this goal, it is required to optimize the grid operations and available resources to meet the ever increasing energy demands in an efficient, effective and environment sustainable way. It has been found that smart grid technologies have not been so popular due to some obstacles that are hindering its maturation and rapid deployment. An attempt has been made to identify and analyze the barriers to implement smart grid technologies adoption. Twelve relevant barriers towards implementation of smart grid technologies have been identified from extensive literature review and duly validated with experts (from academia and industry) opinions. Also, valuable experts opinions have been utilized to identify contextual relationships among these important barriers and a hierarchical model has been developed based on Interpretive Structural Modeling methodology. Matrice dImpacts Croises-Multipication Appliqué an Classment (MICMAC) analysis has also been used to: classify the barriers based upon dependence and driving power; and validate developed ISM based model. "Lack of Regulatory Framework" barrier has been identified as driver or independent level barrier i.e. most important bottom level barrier hindering adoption of smart grid technologies. The developed structured model will help to understand interrelationships and interdependencies among the identified barriers to implement smart grid technologies. Different solutions for handling these identified barriers have also been suggested in the paper. Organizations involved in power generation and distribution may be benefited by understanding of these barriers, their interactions and suggested mitigation solutions towards effective adoption of smart grid technologies. © 2014 Elsevier Ltd.

Kharb R.K.,Government Polytechnic | Shimi S.L.,Indian National Institute of Engineering | Chatterji S.,Indian National Institute of Engineering
Renewable and Sustainable Energy Reviews | Year: 2014

Solar energy, at the present time is considered as an important source in electricity generation. Electricity from the solar energy can be generated using solar photovoltaic (PV) modules. The maximization of solar power extracted from a PV module is of special concern as its efficiency is very low. The output power of a PV module is highly dependent on the geographical location and weather conditions such as solar irradiation, shading and temperature. To obtain maximum power from PV module, photovoltaic power system usually requires maximum power point tracking (MPPT) controller. In this paper, an adaptive neuro-fuzzy inference system (ANFIS) based maximum power point tracker for PV module has been presented. To extract maximum power, a DC-DC boost converter is connected between the PV module and the load. The duty cycle of DC-DC boost converter is modified with the help of the ANFIS reference model, so that maximum power is transferred to load. Due to the complexity of the tracker mechanism and non-linear nature of photovoltaic system, the artificial intelligence based technique, especially the ANFIS method, is used in this paper. In order to observe the maximum available power of PV module, the ANFIS reference model directly takes in operating temperature and irradiance level as input. The response of proposed ANFIS based control system shows accuracy and fast response. The simulation result reveals that the maximum power point is tracked satisfactorily for varying irradiance and temperature of PV module. Simulation results are provided to validate the concept. © 2014 Elsevier Ltd.

Karande P.,Government Polytechnic | Gauri S.K.,Indian Statistical Institute | Chakraborty S.,Jadavpur University
Materials and Design | Year: 2013

To satisfy the requirements of the manufacturing industries, material selection is considered as an important task. Wrongly chosen material may unnecessarily increase the product cost and lead to early failure of the product. While developing a product, the most suitable material is to be selected based on the requirements of the product and the available material properties. These material properties must match with the product requirements. To aid this material selection decision-making process, several mathematical tools and techniques have already been developed by the past researchers. Some of those techniques are computationally complex and their solution accuracy is often affected by the introduction of additional mathematical parameters. In this paper, two conceptually simple but strong mathematical techniques, i.e. utility concept and desirability function approaches are proposed to solve four material selection problems. These two methods are based on the quality characteristic values of the considered material alternatives for arriving at the satisfactory results. Almost a close match between the rankings of the alternatives obtained by these two methods and those derived by the past researchers confirms the suitability of both these approaches for solving material selection problems. © 2012 Elsevier Ltd.

Bhoyar R.,MSEDCL | Bharatkar S.,Government Polytechnic
Energy Procedia | Year: 2012

'MicroSources and Renewable Energy sources' refers to Distributed energy resources(DERs) and 'MicroGrids' refers to a distribution network for electrical energy ,starting from electricity generation to its transmission and storage with the ability to respond to dynamic changes on energy supply through co-generation and demand adjustment.Utilising potential of available distributed energy sources, MicroGrids can provide improved electric service reliability and better power quality to end users of electricity at conservative approach which might not be with the MicroGrids ( centralized power grids). A worldwide research is going on MicroGrids, its application and control to overcome the weaknesses of the centralized power grids. In India due to power crisis a heavy load shedding has been carried out since last five years as load demand increasing day by day. Presently the concept of MicroGrids has been utilizing in rural areas of countries namely Canada, US, UK, Kenya etc. India is also having rich potential for Distributed energy resources (DERs). In this paper, potential of Distributed energy resources (DERs) in rural areas of Maharashtra state India has been predicted and suggested how application of Microgrids can reduce energy losses, improve power quality, deliver sustained power by Zero Load Shedding Model. © 2011 Published by Elsevier Ltd.

Singh R.K.,Government Polytechnic | Goswami S.K.,Jadavpur University
Electric Power Components and Systems | Year: 2011

This article presents a multi-objective formulation for determining the best location and size of distributed generation. This multi-objective formulation includes reliability of service, system operational efficiency, cost of purchased energy, power quality, and system security as objective functions that are the primary concern of system planners. These objectives contradict each other and have trade-off relations. Conventional approaches for optimizing a single objective yield an uncompromised solution for such multi-objective problems. The multi-objective formulation is solved using an interactive trade-off algorithm to obtain compromised or most satisfactory non-inferior solutions. The system planner has a choice to include his/her preference on each objective through interactive steps. The practical situations, such as voltage rise phenomenon and voltage dependency of loads, are addressed, incorporating certain voltage constraints and appropriate load models. The test system is an existing Indian rural distribution network. © Taylor & Francis Group, LLC.

Chatterjee P.,Mallabhum Institute of Technology | Athawale V.M.,Government Polytechnic | Chakraborty S.,Jadavpur University
Materials and Design | Year: 2011

Material selection is a very fast growing multi-criteria decision-making (MCDM) problem involving a large number of factors influencing the selection process. Proper choice of material is a critical issue for the success and competitiveness of the manufacturing organizations in the global market. Selection of the most appropriate material for a particular engineering application is a time consuming and expensive process where several candidate materials available in the market are taken into consideration as the tentative alternatives. Although a large number of mathematical approaches is now available to evaluate, select and rank the alternative materials for a given engineering application, this paper explores the applicability and capability of two almost new MCDM methods, i.e. complex proportional assessment (COPRAS) and evaluation of mixed data (EVAMIX) methods for materials selection. These two methods are used to rank the alternative materials, for which several requirements are considered simultaneously. Two illustrative examples are cited which prove that these two MCDM methods can be effectively applied to solve the real time material selection problems. In each example, a list of all the possible choices from the best to the worst suitable materials is obtained which almost match with the rankings as derived by the past researchers. © 2010 Elsevier Ltd.

Karande P.,Government Polytechnic | Chakraborty S.,Jadavpur University
Materials and Design | Year: 2012

The role that materials play in the design and proper functioning of the products has already been well acknowledged. An incorrectly selected material for a given product may cause premature failure of the final product. The right choice of the available material is critical to the success and competitiveness of the manufacturing organization. The earlier researchers have attempted to solve the material selection problems employing various mathematical tools and techniques. But it is interesting to note that almost all those techniques are affected by the weights assigned to the considered selection criteria and also by the normalization procedure adopted to make the elements of the decision matrix comparable. Hence, there is an ardent need for a material selection method that would remain unaffected by the criteria weights and normalization procedure. In this paper, multi-objective optimization on the basis of ratio analysis (MOORA) method is applied to solve some of the common material selection problems. The performance of the reference point approach and full multiplicative MOORA method are also tested for the considered problems. It is observed that all these three methods are very simple to understand, easy to implement and provide almost exact rankings to the material alternatives. © 2012 Elsevier Ltd.

Birajdar G.K.,Priyadarshini Institute of Engineering and Technology | Mankar V.H.,Government Polytechnic
Digital Investigation | Year: 2013

Today manipulation of digital images has become easy due to powerful computers, advanced photo-editing software packages and high resolution capturing devices. Verifying the integrity of images and detecting traces of tampering without requiring extra prior knowledge of the image content or any embedded watermarks is an important research field. An attempt is made to survey the recent developments in the field of digital image forgery detection and complete bibliography is presented on blind methods for forgery detection. Blind or passive methods do not need any explicit priori information about the image. First, various image forgery detection techniques are classified and then its generalized structure is developed. An overview of passive image authentication is presented and the existing blind forgery detection techniques are reviewed. The present status of image forgery detection technique is discussed along with a recommendation for future research. © 2013 Elsevier Ltd. All rights reserved.

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