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T. Harinarayana - One of the best experts on this subject based on the ideXlab platform.

  • Wind Energy Generation and Assessment of Resources in India
    Journal of Power and Energy Engineering, 2016
    Co-Authors: Vishakha Tank, Jignasha Bhutka, T. Harinarayana
    Abstract:

    The gap between Energy demand and its Generation is constantly widening. People have started giving more emphasis on renewable sources of Energy. This paper presents the estimation of potential for wind Energy Generation maps based on fixed wind turbine capacity. Although wind Energy has developed substantially in recent years, we have only wind speed and wind potential density maps. Our attempt here is to generate wind Energy Generation potential maps. Major step in achieving this goal is modeling of wind Energy conversion system using TRNSYS software. The model consists of three main components namely the weather, the turbines and Energy conversion parameters. The weather data are provided from the meteorological database, namely Meteonorm. The simulated output is compared with actual wind Generation of wind farms. After comparing our model results with the existing wind Energy Generation data, we have extended to compute the wind Energy Generation for all locations in India. For simulation, 4691 locations are identified considering 0.25° × 0.25° interval. The Energy Generation simulated data are compiled and developed into maps that are useful to all wind Energy developers. The data generated and presented in the form of maps are for all the 30 states of India.

  • Solar Energy Generation Potential Estimation in India and Gujarat, Andhra, Telangana States
    Smart Grid and Renewable Energy, 2014
    Co-Authors: T. Harinarayana, K. Jaya Kashyap
    Abstract:

    It is well known that the rampant increase for the demand of electricity and rapid depletion of the fossil fuels has called for immediate response in the direction of Energy sufficiency. To accomplish this, one of the important tasks is to identify the locations of high potential for renewable Energy Generation. It is a well-established fact that solar Energy proved to be the most sought after source for Energy Generation. Although, solar Energy potential maps of India have been prepared based on solar irradiation maps in the earlier studies, the present research study has been carried out with a focused attention directly on solar Energy Generation considering various parameters. In this work it is shown that solar Energy Generation does not depend on solar radiation alone at a location. Instead, there are various other factors that influence the Energy Generation. Some of them are ambient temperature, wind velocity and other parameters like weather and topographic conditions. In this study the locations with high and low solar Energy Generation potential in India have been identified through systematic analysis by computing the solar Energy parameters at every grid point (1° × 1°). The work has been extended with more detailed study for Gujarat, Andhra Pradesh and the newly formed Telangana states. The data points considered for the states are 0.25° × 0.25° having resulted in adding more number of locations. Our results indicate that the total annual Energy Generation in India varies from 510,000 KWH to 800,000 KWH per acre of land. The least Energy Generation location pertains to the eastern parts of Arunachal Pradesh and eastern part of Assam and the highest annual solar Energy Generation has been identified in the eastern parts of Jammu & Kashmir and eastern part of Uttarakhand.

  • Solar Energy Generation potential along national highways
    International Journal of Energy and Environmental Engineering, 2013
    Co-Authors: Pragya Sharma, T. Harinarayana
    Abstract:

    Energy Generation using solar photovoltaic requires large area. As cost of the land is growing day by day, there is a strong requirement to use the available land as efficiently as possible. Here, we explored the potential of Energy Generation using the land above national road highways by constructing a roof structure. This space can contribute to the Energy Generation without extra cost for the land. It also results in Energy efficiency, for example, improved vehicle movement and minimum Energy for air conditioning of vehicles. Additionally, it also helps in minimum road repairs and longer vehicle tire life due to the effect of sun shade. Thus, the expenditure for wear and tear for road repairs is reduced considerably. From our modelling study, it is observed that the Ahmedabad-Rajkot highway can generate 104 MW of electricity (163 GWh of annual Energy Generation) and the Ahmedabad-Vadodara highway space can generate 61 MW of electricity (96 GWh of annual Energy Generation) for single-layer solar panels. If there are two layers of solar panels one over the other, the annual Energy Generation of the same highways, Ahmedabad-Rajkot and Ahmedabad-Vadodara, can be increased to 229 GWh and 140 GWh, respectively. If our concept is implemented throughout India, it not only increases the power Generation to more than a few gigawatts of electricity but also has other various fringe benefits including longer road life, employment Generation, reduced CO2 emission in environment, etc.

Andrea Vaona - One of the best experts on this subject based on the ideXlab platform.

  • the effect of renewable Energy Generation on import demand
    Renewable Energy, 2016
    Co-Authors: Andrea Vaona
    Abstract:

    In the present paper the link between renewable Energy Generation and imports dynamics is explored in import demand equations. We find that renewable Energy Generation reduces import growth. The results display a considerable robustness across estimation methods and model specifications.

  • Import demand and renewable Energy Generation in 26 countries
    2013
    Co-Authors: Andrea Vaona
    Abstract:

    In the present paper the link between renewable Energy Generation and imports dynamics is explored in import demand equations. We find that renewable Energy Generation reduces import growth. Results display a considerable robustness.

  • Regional spillover effects of renewable Energy Generation in Italy
    Energy Policy, 2013
    Co-Authors: Natalia Magnani, Andrea Vaona
    Abstract:

    In a multivariate setting, we document that renewable Energy Generation has a positive impact on economic growth at the regional level in Italy. We do so by adopting panel data unit-root and cointegration tests as well as Granger non-causality tests relying on the system GMM estimator. Our results are interpreted in three ways. Renewable Energy Generation alleviates balance-of-payments constraints and reduces the exposure of a regional economy to the volatility of the price of fossil fuels and to negative environmental and health externalities deriving from non-renewable Energy Generation. Therefore, our evidence supports policies promoting renewable Energy Generation. In an appendix we show that our results are robust to the adoption of alternative econometric methods and definitions for our Energy variable. They are also stable over time.

Bobo Zheng - One of the best experts on this subject based on the ideXlab platform.

  • Wind Energy Generation technological paradigm diffusion
    Renewable and Sustainable Energy Reviews, 2016
    Co-Authors: Bobo Zheng
    Abstract:

    This paper investigates the role of the technological paradigm for the development of wind Energy technology, and aims to contribute towards recommendations on technology policy and management. The paradigmatic research was conducted using a novel data analysis system (DAS) and a wind Energy Generation technological diffusion mathematical model. The wind Energy Generation technological paradigm (WEGTP) composed of paradigm competition, diffusion and shift was established to explain the technological changes in the use of wind Energy. Simulation results show that the development of installed capacity for wind Energy Generation has a strong inertia force along with the S-curve. Global annual installed wind capacity reached a peak in 2012 and is estimated to be saturated by 2030. Hybrid wind and solar Energy Generation technology appeared to be more promising than wind Energy technologies that rely only on onshore or offshore winds. To further accelerate wind Energy development, specific subsidies and incentives need to be provided in areas such as capital costs and technological support.

Pragya Sharma - One of the best experts on this subject based on the ideXlab platform.

  • Solar Energy Generation potential along national highways
    International Journal of Energy and Environmental Engineering, 2013
    Co-Authors: Pragya Sharma, T. Harinarayana
    Abstract:

    Energy Generation using solar photovoltaic requires large area. As cost of the land is growing day by day, there is a strong requirement to use the available land as efficiently as possible. Here, we explored the potential of Energy Generation using the land above national road highways by constructing a roof structure. This space can contribute to the Energy Generation without extra cost for the land. It also results in Energy efficiency, for example, improved vehicle movement and minimum Energy for air conditioning of vehicles. Additionally, it also helps in minimum road repairs and longer vehicle tire life due to the effect of sun shade. Thus, the expenditure for wear and tear for road repairs is reduced considerably. From our modelling study, it is observed that the Ahmedabad-Rajkot highway can generate 104 MW of electricity (163 GWh of annual Energy Generation) and the Ahmedabad-Vadodara highway space can generate 61 MW of electricity (96 GWh of annual Energy Generation) for single-layer solar panels. If there are two layers of solar panels one over the other, the annual Energy Generation of the same highways, Ahmedabad-Rajkot and Ahmedabad-Vadodara, can be increased to 229 GWh and 140 GWh, respectively. If our concept is implemented throughout India, it not only increases the power Generation to more than a few gigawatts of electricity but also has other various fringe benefits including longer road life, employment Generation, reduced CO2 emission in environment, etc.

Ke Deng - One of the best experts on this subject based on the ideXlab platform.

  • Managing Household Wind-Energy Generation
    IEEE Intelligent Systems, 2008
    Co-Authors: Geoff James, Wei Peng, Ke Deng
    Abstract:

    This article describes the use of intelligent-agent technology to aggregate wind-Energy Generation installed at numerous households and battery storage. This scenario creates a "virtual generator" that can be dispatched on the electricity grid in a manner similar to centralized Generation. The purpose of aggregation is to sell renewable Generation to the electricity network and market at a price commensurate with its true value.