M. K. Deshmukh

Bio: M. K. Deshmukh is an academic researcher from Birla Institute of Technology and Science. The author has contributed to research in topics: Wind power & Photovoltaic system. The author has an hindex of 7, co-authored 25 publications receiving 850 citations. Previous affiliations of M. K. Deshmukh include Birla Institute of Technology & Science, Pilani - Goa & Devi Ahilya Vishwavidyalaya.

Modeling of hybrid renewable energy systems

Abstract: Hybrid renewable energy systems (HRES) are becoming popular for remote area power generation applications due to advances in renewable energy technologies and subsequent rise in prices of petroleum products. Economic aspects of these technologies are sufficiently promising to include them in developing power generation capacity for developing countries. Research and development efforts in solar, wind, and other renewable energy technologies are required to continue for, improving their performance, establishing techniques for accurately predicting their output and reliably integrating them with other conventional generating sources. The paper describes methodologies to model HRES components, HRES designs and their evaluation. The trends in HRES design show that the hybrid PV/wind energy systems are becoming gaining popular. The issues related to penetration of these energy systems in the present distribution network are highlighted.

A new approach to micro-level energy planning—A case of northern parts of Rajasthan, India

Abstract: The gap in demand and supply of energy can be met by optimal allocation of energy resources In developing countries like India, demand for energy is constantly rising Conventional energy supply options have failed to cope up with this increase Therefore, it is required to plan the allocation at micro-level also A micro-level energy planning thus becomes pragmatic for sustainable development Micro-level energy planning aims at optimal resource allocation thereby reducing dependence on commercial energy and reducing associated environmental hazards, and opening new avenues for employment generation This paper considers energy consumption patterns in northern part of Rajasthan, India to arrive at micro-level plan using multi-objective goal programming approach Optimal energy resource allocation for various end-uses has been deduced In conventional micro-level energy planning the region is defined as village or taluk or district Inter-village energy mix have been attempted to define region for energy planning in the present text The results of inter-village mix show that the energy mix of two villages at micro-level results in better utilization of available energy sources compared to an individual village The methodology suggested gives the flexibility of defining a region to the energy planner

Application of genetic algorithm to neural network model for estimation of wind power potential

Abstract: In this paper, application of Genetic Algorithm (GA) to Neural Network Model, namely, Feed Forward Neural network (FFNN), is proposed for estimation of wind energy potential at a site. The model is used to predict power output of Wind Conversion System [WECS]. Real time values of wind speed and a variable (count) are taken as input to the model and electric power generated by WECS is computed as output of the model. Improvement of conventional modeling using neural network is proposed by incorporating Genetic Algorithm for assigning optimum weights, in terms of Mean Square Error (MSE) and Mean Absolute Error (MAE) in the proposed model. The results obtained using the proposed model are compared with those obtained using Back Propagation algorithm [BPA] model. It is reported that the proposed modified model leads to improved accuracy in prediction of wind energy potential at a site and therefore, output of WECS.

A review of solar photovoltaic technologies

Abstract: Global environmental concerns and the escalating demand for energy, coupled with steady progress in renewable energy technologies, are opening up new opportunities for utilization of renewable energy resources. Solar energy is the most abundant, inexhaustible and clean of all the renewable energy resources till date. The power from sun intercepted by the earth is about 1.8 × 1011 MW, which is many times larger than the present rate of all the energy consumption. Photovoltaic technology is one of the finest ways to harness the solar power. This paper reviews the photovoltaic technology, its power generating capability, the different existing light absorbing materials used, its environmental aspect coupled with a variety of its applications. The different existing performance and reliability evaluation models, sizing and control, grid connection and distribution have also been discussed. © 2011 Published by Elsevier Ltd.

Optimization methods applied to renewable and sustainable energy: A review

Abstract: Energy is a vital input for social and economic development. As a result of the generalization of agricultural, industrial and domestic activities the demand for energy has increased remarkably, especially in emergent countries. This has meant rapid grower in the level of greenhouse gas emissions and the increase in fuel prices, which are the main driving forces behind efforts to utilize renewable energy sources more effectively, i.e. energy which comes from natural resources and is also naturally replenished. Despite the obvious advantages of renewable energy, it presents important drawbacks, such as the discontinuity of generation, as most renewable energy resources depend on the climate, which is why their use requires complex design, planning and control optimization methods. Fortunately, the continuous advances in computer hardware and software are allowing researchers to deal with these optimization problems using computational resources, as can be seen in the large number of optimization methods that have been applied to the renewable and sustainable energy field. This paper presents a review of the current state of the art in computational optimization methods applied to renewable and sustainable energy, offering a clear vision of the latest research advances in this field.

Energy models for demand forecasting—A review

Abstract: Energy is vital for sustainable development of any nation – be it social, economic or environment. In the past decade energy consumption has increased exponentially globally. Energy management is crucial for the future economic prosperity and environmental security. Energy is linked to industrial production, agricultural output, health, access to water, population, education, quality of life, etc. Energy demand management is required for proper allocation of the available resources. During the last decade several new techniques are being used for energy demand management to accurately predict the future energy needs. In this paper an attempt is made to review the various energy demand forecasting models. Traditional methods such as time series, regression, econometric, ARIMA as well as soft computing techniques such as fuzzy logic, genetic algorithm, and neural networks are being extensively used for demand side management. Support vector regression, ant colony and particle swarm optimization are new techniques being adopted for energy demand forecasting. Bottom up models such as MARKAL and LEAP are also being used at the national and regional level for energy demand management.

Solar energy for future world: - A review

Abstract: World׳s energy demand is growing fast because of population explosion and technological advancements. It is therefore important to go for reliable, cost effective and everlasting renewable energy source for energy demand arising in future. Solar energy, among other renewable sources of energy, is a promising and freely available energy source for managing long term issues in energy crisis. Solar industry is developing steadily all over the world because of the high demand for energy while major energy source, fossil fuel, is limited and other sources are expensive. It has become a tool to develop economic status of developing countries and to sustain the lives of many underprivileged people as it is now cost effective after a long aggressive researches done to expedite its development. The solar industry would definitely be a best option for future energy demand since it is superior in terms of availability, cost effectiveness, accessibility, capacity and efficiency compared to other renewable energy sources. This paper therefore discusses about the need of solar industry with its fundamental concepts, worlds energy scenario, highlights of researches done to upgrade solar industry, its potential applications and barriers for better solar industry in future in order to resolve energy crisis.