• Energy and exergy analysis of a coal-based thermal power plant on design load condition: a review

    Oct 2018 / by Rakesh Kumar and Ajay Berry

    Increasing demand of electricity is higher than the rate at which it is generated. The increased demand of cheap and eco-friendly electricity has led to increase in scientific interest in power plants.There is need of thermodynamic analysis for a coal-based thermal power plant to find out the real useful work and the losses in energy of various components of the power plants like boiler, turbine, condenser, pump etc. In this regards, two tools – energetic and exergetic analysis used basically depend on the two fundamental laws: first and second law of thermodynamics respectively. The primary aim of this paper is to focus on the analysis done by the different researchers on the coal-based thermal power plant on the working condition and some important facts are summarized.
    Keywords: Energy, exergy, thermal power plant, efficiency, boiler, turbine, condenser

    Optimal power flow: comparison of DCOPF and ACOPF

    Sep 2018 / by Naimul Hasan, Ibraheem and Yudhishthir Pandey

    In deregulated power system, pricing of electricity has vital role for encouraging competition among participants. Calculation of LMP involves non-linear optimization techniques as objective function and constraints for securing network limits are non-linear functions. This paper focuses on optimal power flow (OPF) solution algorithms. It includes objective function, equality constraints, inequality constraints, applications and various methodologies. OPF algorithms are mainly classified as conventional and intelligent algorithms. The conventional algorithms cover techniques like Newton method, Quadratic programing, Gradient method, linear programming, interior point method. While intelligent algorithms are new developments in recent years. This covers methodologies like Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Quantum PSO (QPSO). Solution algorithms for OPF with complete descriptions are covered in the paper. This paper compares ACOPF and DCOPF results in terms of convergence, response time and accuracy; IEEE-30 bus network simulation and result comparison.

    Indian Renewable Energy Act 2015: a step towards reducing carbon footprint

    Sep 2018 / by Ruchi Tyagi, Atul Agrawal and Shaikh Samsher Ali

    Today climate change is an international concern. Article 12 of International Kyoto protocol is one-step towards reducing carbon footprint. The protocol declares Certified Emission Reduction (CER) credits under the Clean Development Mechanism (CDM). According to it, the reduction in emission equivalent to 1 tonne of carbon dioxide (CO2) credits the country with 1 CER. The scheduling of COP-24 in December 2018 at Katowice, Poland has made 2018 an important year for progression on the Paris Agreement that was discussed in December 2015 at the climate meeting called the Conference of Parties (COP-21) to the UN Framework Convention on Climate Change (UNFCCC).

    India is visualizing the increased usage of green energy with its National Renewable Energy Act, 2015. Power generation portfolio of India holds National Renewable Energy Act, 2015 as an important roadmap of renewable usage. India is fifth largest power producer in the world with the installed generation capacity of 306358.25 MW out of which renewable energy contribution is only 45065.48 MW. Studies estimate that India’s ambitious target is of achieving 175 GW of renewable energy (RE) by 2022.
    Keywords: Indian power sector, renewable energy, sustainable development

    Optimized predictive MPPT algorithm analysis for performance enhancement of wind energy conversion system

    Sep 2018 / by Krishnat Yadhav, and Archana G. Thosar

    The wind energy process converts wind energy directly into electrical energy even so the alterations within the wind velocity in different climatic conditions affect the generation associated with wind power. Because of the immediate changing characteristics of the wind, it can be desired to look for the one particular optimum wind energy operations that guarantee maximum energy delivery. Consequently, it is important to feature a controller that may observe the ideal peak irrespective of wind velocity. An evaluation has been built between overall performance of various MPPT algorithms judging by different velocity responses and also potential to offer the maximum energy delivery. The perturbation and observation, incremental conductance and fractional open-circuit voltage approaches are used with buck converter and the overall performance regarding the increasing time period, oscillating time period, output voltage, a ripple in end result voltage are reviewed by actual experimental setup. The P&O criterion has been observed as being the most effective MPPT means for wind energy techniques. However, the IC and FoCV approaches are much less productive and possess complications figuring out the best possible step-size.

    Assessment of riverine environment of small rivers at Jalpaiguri district, West Bengal, India

    Sep 2018 / by Chandan Datta and Amitajyoti Bagchi

    The nature of a river bed is always subjected to the flow dynamics and its ecosystem. Presently the river beds are extensively exploited by man to serve different needs. Carrying on agricultural practices is one such activity which goes very much against the health of a river. When a river slithers around an urban area its bed gets dumped with solid waste as well as effluents. It has been observed that in the district Jalpaiguri Boro rice (winter rice) cultivated almost in all the small river beds there. This will have long standing effect on the morphology of the river beds. Owing to waste disposal in river beds the rivers are exposed to pollution. The biodiversity in ecosystem of the river is affected heavily. The rivers like Dharala, Karala, Jorapani, Panga are the worst affected rivers so far their riverine environment is concerned.
    Keywords: Riverine environment, river bed cultivation, water quality index, river health index

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