Background: Hybrid systems with fuel cells and thermal engines are studied with promising results. Molten carbonate fuel cells (MCFC) show many advantages compatible with the current demands for energy production in a sustainable competitive way. Materials and Methods: This paper focuses on the computational investigation of an indirect internal reforming MCFC coupled to a gas turbine (GT) system. The technical analysis comprises of energy analysis of the hybrid cycle, using the Gibbs function minimization technique for the methane steam reforming process. The assessment is performed to determine the influence of the hybrid cycle operating temperature and pressure, steam-to-carbon ratio, and fuel and oxidant usage in the fuel cell............

Keywords: Molten carbonate fuel cell; gas turbine; hybrid system; energy analysis.

[1] ENERDATA, Global Energy Statistical Yearbook 2019. Available at https://www.enerdata.net/publications/reports-presentations/world-energy-trends.html. Accessed on 01/13/2020.
[2] Dincer, I., Rosen, M.A., Ahmadi, P. (2017). Optimization of Energy Systems. United Kingdom: John Wiley & Sons Ltd., 2017. DOI: 10.1002/9781118894484
[3] Hauschild, L. (2006). Evaluation of Operation Strategies of Hybrid Photovoltaic-Wind-Diesel Systems. São Paulo: Master's dissertation in Energy, University of São Paulo (Graduate Program in Energy), 117 pages. (In Portuguese).
[4] McLarty, D., Brouwer, J., Samuelsen, S. (2014). Fuel cell–gas turbine hybrid system design part I: Steady state performance. J Power Sources 257, pp. 412-20. https://doi.org/10.1016/j.jpowsour.2013.11.122
[5] McLarty, D., Brouwer, J., Samuelsen, S. (2014). Fuel cell–gas turbine hybrid system design part II: Dynamics and control. J Power Sources 254, pp. 126-36. https://doi.org/10.1016/j.jpowsour.2013.11.123

A modeling that uses Neurofuzzy Mathematical Logic Quality (NMLQ) methods in a Fourth Dimension View with ISO Standard 25000 (SQuaRE) and Scale Likert can be justified when it is desired to analyze behaviors of non-linear systems, time and training of an artificial neural network (RNA). Also, allow your results to be interpreted, as the techniques are based on human reasoning and linguistic or graphic descriptions. The NMLQ training process is based on adjustments of its parameters in a fourth dimension view, presented by networks arranged in layers and spreadsheets for each layer, adapted by the parameters or weights of an RNA for the adjustments between the desired and presented outputs. to the network during your training. Its algorithm is based on the application of functions in the fourth dimension. The method maps the various networks laid out in layers or levels and registered with their respective synaptic values, according to the linguistic variables of the fuzzy logic and domains, contradictions and images of the functions of several variables, in the set of real numbers.........

Keywords: Biological systems, fuzzy systems, Neurofuzzy, Fourth dimension view, Fourie series, Fourie transform, polynomial functions, Intelligent computational mechanism.

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The goal of this study deals with an effective approach to achieve the approximate solution of nonlinear partial differential equations (NPDE's). This approach exempts the calculation of integration in recurrence relation, and the convolution theorem in Laplace transforms to compute the value of Lagrange multiplier. Finally, nonlinear terms can easily be handled with He's polynomials via homotopy perturbation method (HPM). This approach demonstrates the high efficiency and attains very good agreement in illustrated problems.

Keywords: He-Laplace method, He's polynomials, KdV equation, Inverse Laplace transform.

[1]. Baldwin, D., Goktas, U., Hereman, W., Hong, L., Martino, R.,&Miller, J. (2004). Symbolic computation of exact solutions expressible in hyperbolic and elliptic functions for nonlinear PDEs. Journal of Symbolic Computation, 37(6), 669–705.
[2]. Benkhaldoun, F., & Seaid, M. (2008). New finite-volume relaxation methods for the third-order differential equations. Communications in Computational Physics, 4(3), 820–837.
[3]. Korkmaz, A. (2016). Numerical algorithms for solutions ofKorteweg-de-Vries equation. Numerical Methods for Partial Differential Equations, 26(6), 1504–1521.
[4]. Bektas, M., Inc, M., &Cherruault, Y. (2005). Geometrical interpretation and approximate solution of nonlinear KdV equation. Kybernetes, 34(7/8), 941–950.
[5]. Islam, M. T., Akbar, M. A., & Azad, M. A. K. (2017). Multiple closed form wave solutions to the kdv and modified KdV equations through the rational (G'/G)-expansion method. Journal of the Association of Arab Universities for Basic and Applied Sciences, 24, 160–168.

A developed urban area that creates sustainable economic development and high quality of life by excelling in multiple key areas; economy, mobility, environment, people, living and government .Excelling in these key areas can be done so through strong human capital, social capital and ICT infrastructure. The smart cities is a collaboration of technology into strategic approach of sustainability. The programme will provide the city where information technology is the principal infrastructure and the basis for providing the essential services to the residents. This article is focused on the comparison of success stories of the Swedish government in stepping forwards as the pioneers of giving smart city solutions to the world and comparing with an entirely different setting........

Keywords: Shimla Smart city, Swedish waste management,Comparative analysis.

[1]. Navarro, C. and Roca, M. (2015), "Designing new models for energy efficiency in urban freight transport for smart cities.", The 9th International Conference on City Logistics, Science direct, Canary Islands, 314 – 324.
[2]. Paul, V. (2015), "Exploring Other Concepts of Smart-Cities within the Urbanizing Indian Context," International Conference on Emerging Trends in Engineering, Science Direct, New Delhi, 858 – 867.
[3]. Jose, M. and Michael, J. (2015), "Smart Waste Collection System Based on Location Intelligence," Conference on Smart waste Management, Science Direct, San Jose, 120 – 127.
[4]. Harwood, D. and john, A. (1984). "Passing Lanes and other operational Improvements on two-lane highways," Report FHWA/RD-85/028
[5]. Retno, S. and Sugiono, S. (2015), "Smart growth, smart city and density: in search of the appropriate indicator for residential density in Indonesia." International Conference on Intelligent Planning towards Smart Cities., Science direct, Surabaya, 194 – 201.

Thermal storage is both a strong advantage for solar thermal power plants and a component with high improvement potential. The research institute solar energy and new energies (IRESEN) is currently developing a pilot solar power plant using an Organic Rankine cycle in the framework of the recently launched "GREEN ENERGY PARK" research platform, this plant shall operate at relatively low temperatures in comparison with large scale commercial plants, and then shall require a well suited storage system in order to improve economic efficiency and enable night time production. A study based on the cost and storage capacity has led to the choice of two systems: sensible heat storage in a rock (quartzite) packed bed and latent heat storage on encapsulated molten salt. A model has subsequently been developed in order to enable the assessment of both systems' performances and in particular for the encapsulated salt solution for which a hexagonal..........

Keywords: Tthermal storage, latent heat, molten salt, packed bed, Organic Rankine cycle, hexagonal close packing

[1]. M. D. Silverman, J. R. Engel, Survey of Technology for Storage of Thermal Energy in Heat Transfer Salt, Oak Ridge National Laboratory, (1988).
[2]. Francis Agyenim, Philip Eames, Mervyn Smyth, A comparison of heat transfer enhancement in a mediumtemperature thermal energy storage heat exchanger using fins, Solar Energy 83 1509–1520(2009).
[3]. N. Nallusamy, S. Sampath, R. Velraj, Experimental investigation on a combined sensibleand latent heat storage system integrated withconstant/varying (solar) heat sources, Renewable Energy 32 1206 – 1227, (2007).
[4]. SOLUTIA, Therminol VP-1 vapour phase liquid phase heat transfer fluid, (2003).

A confluence is a natural component in river and channel networks. The incoming flow from the tributary channel causes extensive variation of the flow velocity, flow discharge, turbulent intensity and sediment discharge in the main-channel. In the present paper, numerical model is applied to predict flow pattern and morphological changes at the future. The numerical model was calibrated using available confluence field data and then was applied to a confluence. The objectives of this study are to: evaluate the morphological changes at channel confluence, showing the behavior of the planform confluence morpho-hydro dynamics zones at the future, presenting the cumulative erosion and sediment at the study confluence and the rate of changes for the confluence hydrodynamic zone (CHZ) stagnation zone, separation zone, confluence scour, region of maximum velocity, region of flow recovery, and mixing interface/shear layer.

Keywords: Confluence, Hydro-dynamic Features, Nile River,Numerical Modeland Prediction.

[1]. Ashmore, P. (1982), Laboratory modelling of gravel braided stream morphology, Earth Surf. Processes Landforms, 7, 201– 225.
[2]. Best, J. L. (1987), Flow dynamics at river channel confluences: Implications for sediment transport and bed morphology, in Recent Developments in Fluvial Sedimentology, Spec. Publ. SEPM Soc. Sediment. Geol., 39, 27–35.
[3]. Best, J. L. (1988), Sediment transport and bed morphology at river channel confluences, Sedimentology, 35, 481–498.
[4]. Best, J. L., and A. G. Roy (1991), Mixing layer distortion at the confluence of unequal depth channels, Nature, 350, 411– 413.
[5]. Biron, P., A. G. Roy, and J. L. Best (1996a), Effects of bed discordance on flow dynamics at open channel confluences, J. Hydraul. Eng., 122, 676–682.

Climate change possesses a threat to life on earth. Number of natural calamities like cyclone, drought, flood, rising of sea level, severe heat and cold wave, melting of snow etc. are some of ready effects that has been directly felt in variation portion of the globe. Climate change can be defined broadly as a change in the state of the climate that can be identified by changes in the mean or the variability of its properties that persist for an extended period typically decade or longer. It refers to any change in climate over time whether due to natural variability or as a result of human activity. This study may be a small step towards recognizing the climate change and its impact on water bodies of the study area. The statistical analysis shows the characteristics of the rainfall.The trend analysis of rainfall has been done by using IDW technique which signifies the amount of rainfall is more in western Odisha during month of July and gradually decreases towards end of monsoon. The IDW map shows the rate of rainfall is high in coastal areas during post-monsoon. This effect is due to the cyclonic effects on Odisha in October month..

Keywords: Climate change, Rainfall, Statistical analysis, Trend, IDW

[1]. Hu,K.,Li,B.,Lu.,Zhang,F., 2004. "Comparision of various spatial interpolation methods for non-stationary regional soil murcury content". Environmental Science. 25, 132-137.
[2]. Merwade, V.M., Maidment, D.R.,Goff, J.A., 2006. "Anisotropic consideratory while interpolating river channel bathymetry". Journal of Hydrology. 331 (3-4), 731-741.
[3]. Leonard Rebort Gardner., 2009. "Assessing the effect of climate change on mean annual runoff". Journal of Hydrology. 379, 351-359.
[4]. Grillakis M.G., 2011. "Climate change impact on the hydrology of spencer Creek watershed on southern Ontario, Canada". Journal of Hydrology. 11-28.
[5]. R.P. Silberstein., S.K. Aryal., J. Durrant, M. Pearcey., M. Braccia.., S.P. Charles., G.A. Hodgson., M.A. Bari., N.R. Viney., D.J. McFaelane., 2012. "Climate change and runoff in south-western Australia". Journal of Hydrology. 475, 441-455.