Tilt angle optimization of the solar collector is essential to achieve maximum power output. In this study, the performance analysis of monthly and yearly optimum tilt angles has been carried out for solar power plant setup-able sites in the Western Himalayan region of India. A mathematic model has been used for optimum tilt angle assessment. Annual average performance enhancement for monthly optimum tilt angles is 10–11%, 5–7% and 4–6% from horizontal, tilted at the latitude and tilted at an optimum tilt angle, respectively. Validation of the results has been carried out by mounting a polycrystalline PV panel at one of the suggested plant setup-able sites (ϕ30° 51′ 1.656′′, L 77° 3′ 41.508′′). The percentage variations found in experimental results are 8.85, 9.13 and 14.09 from horizontal, tilted at the latitude and tilted at yearly optimum tilt angle PV panel, respectively. To generalize the obtained result, correlations in terms of latitude and declination angle have also been formulated for yearly and monthly optimum tilt angles, respectively. The preciseness of the developed correlations has been validated by statistical tools. The results from this study have also been compared with the results of some previous studies, and good agreement has been obtained.

Conserving energy and efficient power systems are very important for us to reduce pollution levels and also reduces wasted fuel resources which are already depleting on the planet. In power operation system, the potential of energy conservation and also much less emission of greenhouse gas because of the wise usage of cleaner non-renewable fuels burned in combined heat and power (CHP) models like the natural gas which provide them benefit from the usual electric power systems. Mixed generator systems have been widely employed by the industry. The industry which requires both power and heat can supply the demands with cogeneration of heat-power systems. Cogeneration (CHP) systems could be constructed in cities and used in the form of distributed electricity sources. To get the optimal usage of CHP devices, economic load dispatch (ED) should be requested more for the process of energy conservation. Economic load dispatch plays a vital role and a large number of different approaches and methods have been used in solving such kind of problems. The methods like lambda-iteration and Gradient are used for finding out the optimized solution of nonlinear problem. The purpose of this thesis is to utilize the algorithmic optimization approaches like particle swarm optimization (PSO), genetic algorithm (GA) and PSO-GA. In this work, the method of PSO-GA Optimization is used to find out the minimized cost at four of the generating units of heat and power. The base of the work is already published where in the loss coefficients are also presented with max-min cost function and power limit. This work is implemented in the MATLAB simulation environment. The work starts by initializing the load/power and then generators load power flow. The generators are allocated to initialize the cost and this cost is optimized by PSO with GA. At the end the experimental results of GA ,PSO and PSO-GA algorithm is equated with each other and it seems better convergence is achieved by PSO-GA Algorithm.

Solar tracking devices are quite effective for collecting maximum solar radiations but for vastly spread solar energy collection plant, their usage is suppressed due to large cost involvement. The best alternative to this problem is adjustment of tilt angle at most appropriate position. In this study monthly optimum tilt angle have been identified for a solar power plant setup-able site Kalth (φ 30.85046˚, L 77.06153˚), situated at Himachal Pradesh, India. For diffuse radiation estimation, an isotropic model has been used. By considering the impracticality involved in monthly tilt angle adjustment, various annual adjustment models have been formulated for two, three and four annual adjustments. In order to estimate the increment in solar insolation by adopting these models, Performance Enhancement (PE) have been computed from the conventional method of setting the solar collector tilt equal to latitude angle. The results show that PE is maximum for monthly optimum tilt angles followed by M-4 which is a three annual adjustment model. Based on PE requirement, any of the proposed models can be selected for setting up solar energy collection plant at suggested site.

This paper presents energy requirements of J&K state of India with the present policies and future planning for the best utilization of the available resources. There will be acceleration in the future developmental graph in the country like India resulting in bulk of the energy demand. The procedures and methods applied currently adopted in renewable field aims for exploring possible energy production while considering the environmental impact. The hilly region such as J&K and Ladakh region has tremendous amount of renewable energy potential. The presentation of this paper aims the cost analysis of hybrid power system in the region. For optimization and sensitivity analysis, HOMER pro version 3.23.8 is used. The renewable resources for selected area are analyzed in Global Solar atlas (GSA) and Global wind atlas (GWA) and the result is compared with the meteorological tower data set. The modeling of the hybrid system is purposed on a 10% of load variability and as a result of the study, the levelized cost of energy (LCOE) from the hybrid system is obtained 0.0466 USD/kWh which will be 30 to 50 percent cheaper than the priceofelectricityfrom conventional system.

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