Recent advances in nonlinear passive vibration isolators

Modal analysis is used extensively for understanding the dynamic behavior of structures. However, a major concern for structural dynamicists is that its validity is limited to linear structures. New developments have been proposed in order to examine nonlinear systems, among which the theory based on nonlinear normal modes is indubitably the most appealing. In this paper, a different approach is adopted, and proper orthogonal decomposition is considered. The modes extracted from the decomposition may serve two purposes, namely order reduction by projecting high-dimensional data into a lower-dimensional space and feature extraction by revealing relevant but unexpected structure hidden in the data. The utility of the method for dynamic characterization and order reduction of linear and nonlinear mechanical systems is demonstrated in this study.

The Method of Proper Orthogonal Decomposition for Dynamical Characterization and Order Reduction of Mechanical Systems: An Overview

Proper orthogonal decomposition and its applications—part i: theory

Control of chaos: Methods and applications in engineering

A study of a nonlinear vibration isolator with a quasi-zero stiffness characteristic

An electricity consumer paying residential tariff and is willing to become a producer of power through photovoltaic (PV) panels is termed as a solar prosumer. The demand for distributed deployment of solar energy through such panels in Europe, USA and Japan arose due to the residential rooftop sector. In contrast, large scale power plants led the solar power growth in India. This article presents some of the efforts made to generate awareness regarding roof top PV plants in India and addresses the reasons behind the Indian residential (and even commercial) electricity consumers' unwillingness to become solar prosumers. In the recent times, the concept of adding energy storage capacity to solar panels is referred to as “prosumage”, still uneconomical at large. Going off-grid is a possible option in the Europe and USA, if an inexpensive storage option is provided to take care of intermittency of solar energy. An unreliable grid is one of the reasons for seeking energy storage in the Indian context. In addition there exists a significant captive power generation capacity through diesel generator sets, wind, biomass and other energy sources. Hybridization of solar with such sources can be a way forward to meet the goals of the solar mission.

Are Indian electricity consumers ready to become solar prosumers

The present invention relates to a blade arrangement with damping elements and a method for vibration damping of a blade arrangement. The blade arrangement comprises a rotor and blades arranged on the circumference of the rotor. Damping elements (2, 3) are arranged between the blades and are in contact with the blades when the rotor rotates due to a centrifugal force acting in the radial direction. Between adjacent blades, at least two damping elements (2, 3) are arranged one behind the other in the circumferential direction of the rotor, which come into contact when the rotor rotates via a contact surface (6) and of which a first damping element (2) with a first friction surface (4) one and a second damping element (3) come into contact with a second friction surface (5) of the other blade. A multitude of different vibration conditions can be effectively damped with the blade arrangement.

Blading with damping elements

. The percentage of renewable energy sources such as solar, wind power and biomass in the energy mix of India is increasing every year. Solar power variability is an important issue for grid integration of solar photovoltaic power plants. The main objective of this paper is to forecast the power generated in a 5 MW solar PV plant owned by Gujarat Power Corporation Limited (GPCL) at Charanka solar park, Gujarat. Charanka is a location with an average of320 sunny days in a year. Average solar insolation available here is 5.7–6.0 kWh/m2 per day. Data obtained from 1st March 2014–31st August 2014 is used for analysis purposes. In this paper a two stage procedure is used referred to as GNN (Generalized Neural Network) model. In the primary stage pre-processing is done on the raw data followed by neural network model for forecasting.

Forecasting of 5MW solar photovoltaic power plant generation using generalized neural network

The non-stationary response in vibrating systems with power-law damping, subjected to sweep tests is considered. Using the method of averaging, it is shown that the bifurcation delay persists in all forms of power-law damping, viz., Coulomb, orifice and cubic damping models. Experimental investigations on a ‘soft’ type of isolator confirm the existence of delay in the jump phenomenon. These results also indicate that the softening nature of non-linearity can be profitably employed in the design of isolators and vehicle suspensions.

Sweep Tests on Vibrating systems with Power-Law Damping

Dust storms are common in arid zones on the earth and others planets such as Mars. The impact of dust storms on solar radiation has significant implications for solar power plants and autonomous vehicles powered by solar panels. This paper deals with the analysis of solar radiation and power output of a rooftop photovoltaic plant during a dust storm and proposes a forecasting methodology using deep learning network. The increased aerosol content due to dust storms increases the diffuse component of the solar radiation. This effect persists for a long duration and can impact the quality of forecasting of solar radiation. Deep learning networks that capture long range structure can improve the quality of solar radiation forecasting during dust storms. These results can help explain the sudden drop in power output of solar plants due to dust storms originating in another continent. They can shed light on mysterious cleaning events in autonomous vehicles powered by solar panels to be used in space missions.

B. Ravindra

Papers

Are Indian electricity consumers ready to become solar prosumers

Blading with damping elements

Forecasting of 5MW solar photovoltaic power plant generation using generalized neural network

Sweep Tests on Vibrating systems with Power-Law Damping

Forecasting solar radiation during dust storms using deep learning.