This paper presents a process to develop the monthly global and diffused solar radiation data for the city Bareilly, Uttar Pradesh in order to exploit the solar energy available at the location throughout the year. It is located in the northern zone of Uttar Pradesh at 28.367°N latitude and 79.4304°E longitude at an elevation of 268 meters. The values of monthly average global solar radiation are calculated using the regression constants in the model provided by Gopinathan. Kreith and Gupta model has been used for estimating the values of monthly average diffuse solar radiation. The calculated data has been analyzed and the result has been simulated through matlab.

A soft computing prediction model for Scheffler reflector is made to predict the temperature of water obtained by absorption of solar energy. In this model Adaptive Neuro Fuzzy Interface System (ANFIS) based on 1st order of the Takagi–Sugeno model is used which predicts system behavior. Input parameters used in the model are intensity of radiation, ambient temperature and time of experimentation and the output parameter is generated water temperature. The model gave excellent prediction ability for Scheffler reflector.

Use of phase change materials (PCMs) currently is a very attractive and feasible technique for thermal energy conservation. Phase change material is a substance which has ability to store and release large amount of energy in the form of latent heat of fusion. These materials undergo solid-liquid phase transformation & vice versa at a particular temperature within the range of a selected thermal application. The amount of energy absorbed or released during the process of phase transformation is entirely dependent on the value of material’s latent heat of fusion and the mass of material being used. The process of storing and releasing energy is transient phenomena. PCMs can be used for both energy conservation and thermal management but the major issue is the proper selection of PCM and the amount of PCM to be used for the particular application. The selected material should be stable both chemically and physically over repeated no. of thermal cycles, also it should be compatible with most of the materials, non-flammable, high latent heat of fusion, high thermal conductivity and high specific heat.

Modeling involves realizing the mathematical model and extracting the parameters of a quadruple junction solar cell (which have obtained highest efficiencies according to the 2016 NREL efficiency data) like series and parallel resistances, ideality factor (?i) etc using Genetic algorithm and modeling of the same in the MATLAB/SIMULINK environment using the different single junction solar cell models available and determining the efficiencies of each of the subcells. In this paper a four junction cell made of AlGaInP-GaAs-GaInAs-Ge which constitute the subcells of the Quad cell in the descending order of their bandgaps respectively, are modeled in Simulink

Modeling involves realizing the mathematical model and extracting the parameters of a quadruple junction solar cell (which have obtained highest efficiencies according to the 2016 NREL efficiency data) like series and parallel resistances, ideality factor (?i) etc using Genetic algorithm and modeling of the same in the MATLAB/SIMULINK environment using the different single junction solar cell models available and determining the efficiencies of each of the subcells. In this paper a four junction cell made of AlGaInP-GaAs-GaInAs-Ge which constitute the subcells of the Quad cell in the descending order of their bandgaps respectively, are modeled in Simulink

The renewable sources of energy are of utmost importance in context of the increasing energy demands. The sun energy available in abundance can be utilized effectively subjected to the availability of data on solar radiation flux, which remains the major concern. Solar radiation measurements are not economically feasible, requires maintenance and thus estimation of solar radiation flux data for utilization of solar irradiance plays vital role. For designing of any solar power systems, global solar radiation flux values are vital variables as solar energy generation depends on amount of solar radiation flux. Solar radiation flux is estimated to evaluate the workability of solar energy at Amravati, Maharashtra, India (20.9374 oN, 77.7796 oE). Solar radiation flux calculation is carried out for one year using MATLAB.

This paper presents the performance analysis of the effect of geometrical parameters having multiple v-shaped rib roughness on the airflow side of the absorber plates. Mathematical approach and solution procedure for the analysis of such a solar air heater has been developed theoretically and MATLAB code generated for the solution of the mathematical equations. The effect of parameters such as flow Reynolds number and Relative roughness height on the thermohydraulic performance have been examined and compared with the conventional flat plate solar air heater. A substantial improvement in thermal efficiency of roughened solar air heater as compared to smooth one due to appreciable enhancement in heat transfer coefficient. The enhancement in heat transfer coefficient is also accompanied by a considerable enhancement in pumping power requirement due to the increase in friction factor.

The present analytical study reports the effect of fin spacing, mass flow rate and insolation on exergy performance of triangular fin attached SAH. The primary objective of the work is to manifest the condition and parameter combinations that yield high values of exergy efficiency. A computer code has been developed in MATLAB R2016a. The numerical results of triangular fin SAH obtained are compared with that of plain SAH as a measure to evaluate the effectiveness of former over the latter. It is found that lower values of mass flow rate and fin spacing yields maximum exergy efficiency. Exergy efficiency drops continuously thereafter and at higher values of mass flow rate, the exergy efficiency drops even below the exergy efficiency of plain SAH.

The current work outlines the experimental findings of an air heating solar collector integrated with fins and twisted tapes of twist ratio ‘Y=2.66’ for the range of air flow rate from 0.007 kg/s to 0.0158 kg/s. The effects air flow rates on the performance of this new design of the collector have been investigated. The outcomes have also been compared with those of the conventional solar air heater. The performance of the collector with fins and twisted tapes has been perceived to be improved substantially as compared to conventional solar air heater.

In India, coal is one of the important source of energy. Slagging and clinkering of the coal in the process of combustion is the major problem in non-coking coal industries. The purpose of this paper is to thermodynamic assessment of the chemical composition variations and phase transitions in the coal ash during the process of combustion. For thermodynamic analysis FactSage software is used and the coal samples are collected from the Samleswari block Coalfield, Odisha. The predicted data has been matched with the experimental data obtained by XRD. XRD results showed that Quartz and Kaolinite are present in abundance amount. Chemical composition analyses show that there is an abundance of acidic oxides (SiO2, Fe2O3 and TiO2) in the coal samples. Traces of basic oxides (Fe2O3, MgO and CaO) have been observed. High acid to-base ratios are accountable for the high ash fusion temperatures, which certainly lowers the slagging potential of coal seams studied. The ash fusion temperatures are only an indicator of slag propensity of coal.