&ldquo;IIT Jodhpur is committed to impart quality education to facilitate the creation of qualified, competent and responsible human resources to meet the emerging technological challenges of the world. It is working towards creating an equitable learning platform that is positive, accessible and effective in the face of the modern societal and scientific advancements.

Flexibility in curriculum, in all its academic programs, encompassing elements of teaching, research, creativity, innovation and entrepreneurship is the most unique feature of IIT Jodhpur. The Department of Science and Technology (DST), under the National Mission on Cyber Physical Systems, has identified IIT Jodhpur as a Technology &amp; Innovation Hub in the area of Augmented Reality and Virtual Reality. The institute has also been nominated as the coordinator for the Jodhpur City and Knowledge Cluster by the Office of Principal Scientific Adviser, Government of India.

The sprawling 852-acre IIT Jodhpur campus is a majestic tribute to the deep-rooted diverse cultural heritage of the region. The campus is an architectural masterpiece, which is slated to become an international exemplar of sustainability with net-zero energy, and advanced water and waste management strategies.&rdquo;

IIT Jodhpur

Solar power generation has accelerated worldwide during the last decade. Often the regions of high intensity of solar radiation are in the desert areas which are prone to Haboobs (Arabic word meaning "wind"). Haboobs are sandstorms caused by strong horizontal winds. They occur regularly in arid regions throughout the world. Impact of these events has been examined from various angles such as health, aviation, transportation, agriculture as they affect a billion people around the world. Here it is shown that these events can decrease the yield of a solar photovoltaic plant significantly. Analysis of measured solar radiation during a sand storm is carried out to assess its impact on solar power generation. © 2018 Author(s).

Department of Mechanical Engineering

AIP Conference Proceedings

Can a sand storm in Arabia cause a dip in the yield of your photovoltaic plant?

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. © 2017 IEEE.

Proceedings of 2017 IEEE International Conference on Technological Advancements in Power and Energy: Exploring Energy Solutions for an Intelligent Power Grid, TAP Energy 2017

Are Indian electricity consumers ready to become solar prosumers?

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 of 320 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. © 2015 IEEE.

World University root node

Department of Mathematics

Proceedings of the 2015 39th National Systems Conference, NSC 2015

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

The primary aim of this paper is to analyze solar power variability. Ground-based measurements of solar photovoltaic power are used for the forecasting of 43-kW A-Si SPV system. In this study, we describe the variability in the power production of solar photovoltaic plant at IIT, Jodhpur. Solar PV generation forecasting is playing a key role in accurate solar power dispatchability as well as scheduling of PV power for hybrid power generation systems. The actual power produced by a PV power system varies according to variation in meteorological parameters and efficiency of PV system components. For the purpose of forecasting as per the schedule in the Indian power sector, a time slot of 15 min is considered for each forecasting. The proposed generalized neural network technique will be appropriated for modeling of solar power variability forecasting. In this paper, we used generalized neural network for forecasting the PV power variability. © Springer India 2015.

Lecture Notes in Electrical Engineering

Ground-based measurement for solar power variability forecasting modeling using generalized neural network

The Indian Institute of Technology, Jodhpur (IITJ) has been monitoring and recording all the parameter of 101 kW (43.30 kW A-Si PV system located in Block 1 and 58.08 kW C-Si PV system in Block 2) grid tied solar photovoltaic system over the 4 year. The paper present the operational data 43.30 kW amorphous silicon (A-Si) based PV system located at Block 1 and 58.08 kW crystalline silicon based PV system at Block 2 of IIT Jodhpur. This paper helps in a study of the performance and consistency of this system. This paper will estimate the theoretical and actual Power output, Energy yield of the both PV systems. During the year, the PV systems in Jodhpur, India have generated a 74922 kWh by C-Si PV and 55910 kWh solar energy by A-Si PV system. As a whole, the location of Solar PV system is the primary reason of energy variability and system production. © 2014 IEEE.