Cellulose: A review as natural, modified and activated carbon adsorbent.

. Since the publication of the compilation of biomass
burning emission factors by Andreae and Merlet (2001), a large number of
studies have greatly expanded the amount of available data on emissions from
various types of biomass burning. Using essentially the same methodology as
Andreae and Merlet (2001), this paper presents an updated compilation of
emission factors. The data from over 370 published studies were critically
evaluated and integrated into a consistent format. Several new categories of
biomass burning were added, and the number of species for which emission
data are presented was increased from 93 to 121. Where field data are still
insufficient, estimates based on appropriate extrapolation techniques are
proposed. For key species, the updated emission factors are compared with
previously published values. Based on these emission factors and published
global activity estimates, I have derived estimates of pyrogenic emissions
for important species released by the various types of biomass burning.

/pdf/emission-of-trace-gases-and-aerosols-from-biomass-burning-an-mk3c5y9vuy.pdf

Emission of trace gases and aerosols from biomass burning - an updated assessment

Adaptive particle swarm optimization approach for static and dynamic economic load dispatch

http://ardeshir20.persiangig.com/document/noandishaan/azar/alex1.pdf

Optimal dynamic economic dispatch of generation: A review

The increasing demand for electricity and the emergence of smart grids have presented new opportunities for a home energy management system (HEMS) that can reduce energy usage. The HEMS incorporates a demand response (DR) tool that shifts and curtails demand to improve home energy consumption. This system commonly creates optimal consumption schedules by considering several factors, such as energy costs, environmental concerns, load profiles, and consumer comfort. With the deployment of smart meters, performing load control using the HEMS with DR-enabled appliances has become possible. This paper provides a comprehensive review on previous and current research related to the HEMS by considering various DR programs, smart technologies, and load scheduling controllers. The application of artificial intelligence for load scheduling controllers, such as artificial neural network, fuzzy logic, and adaptive neural fuzzy inference system, is also reviewed. Heuristic optimization techniques, which are widely used for optimal scheduling of various electrical devices in a smart home, are also discussed.

Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers

Dynamic economic dispatch (DED) is one of the main functions of power system operation and control. It determines the optimal operation of units with predicted load demands over a certain period of time with an objective to minimize total production cost while the system is operating within its ramp rate limits. This paper presents DED based on a simulated annealing (SA) technique for the determination of the global or near global optimum dispatch solution. In the present case, load balance constraints, operating limits, valve point loading, ramp constraints, and network losses using loss coefficients are incorporated. Numerical results for a sample test system have been presented to demonstrate the performance and applicability of the proposed method.

Simulated Annealing Technique for Dynamic Economic Dispatch

This paper presents differential evolution with Gaussian mutation to solve the complex non-smooth non-convex combined heat and power economic dispatch (CHPED) problem. Valve-point loading and prohibited operating zones of conventional thermal generators are taken into account. Differential evolution (DE) is a simple yet powerful global optimization technique. It exploits the differences of randomly sampled pairs of objective vectors for its mutation process. This mutation process is not suitable for complex multimodal optimization. This paper proposes Gaussian mutation in DE which improves search efficiency and guarantees a high probability of obtaining the global optimum without significantly impairing the simplicity of the structure of DE. The effectiveness of the proposed method has been verified on five test problems and three test systems. The results of the proposed approach are compared with those obtained by other evolutionary methods. It is found that the proposed differential evolution with Gaussian mutation-based approach is able to provide better solution.

Differential evolution with Gaussian mutation for combined heat and power economic dispatch

The renewable energy sources are accompanied by certain constraints as reliability, availability and continuous generation. In India, biomass is considered as the second best suitable combination with other renewable energy sources. Both solar and wind are undependable renewable energies as they are unpredictable. Now the key to successful renewable energy harvesting lies in the selection of hybrid system architecture for power generation. In rural areas, light is usually unavailable and if it does, it is mostly an incandescent light used for household lighting instead of fluorescent. System reliability, economy and environmental issues are the three major issues for decentralised electrification. So, finding the best suited hybrid system configuration to overcome these constraints is the need of the hour. It is at this stage that HOMER comes into the picture. HOMER, abbreviated name of hybrid optimization model for electric renewable, successfully realises system configuration before its installation and...

Design and simulation of a solar–wind–biogas hybrid system architecture using HOMER in India

In a modular multilevel converter (MMC), the second and other even-order harmonics in the circulating currents are mainly due to the fluctuations in the capacitor voltages in the sub modules of the MMC. The increased circulating currents affect the system performance and threatens the safety operation of power devices. To mitigate the circulating currents, this article puts forward the application of an advanced repetitive controller with alternate phase opposition and disposition pulse-width modulation technique. The proposed controller was operated in tandem with a proportional integral controller for better results of circulating current harmonic suppression and then the stability analysis was analyzed by the Popov criteria. This method is very simple to implement and suitable for multiple harmonic mitigation. Computer simulations and experimental results on a prototype shows that the proposed controller is effective and easy to implement for MMCs.

Application of an Advanced Repetitive Controller to Mitigate Harmonics in MMC With APOD Scheme

https://cyberleninka.org/article/n/1493870.pdf

Chinmoy Kumar Panigrahi

Papers

Simulated Annealing Technique for Dynamic Economic Dispatch

Differential evolution with Gaussian mutation for combined heat and power economic dispatch

Design and simulation of a solar–wind–biogas hybrid system architecture using HOMER in India

Application of an Advanced Repetitive Controller to Mitigate Harmonics in MMC With APOD Scheme

Phasor Estimation and Modelling Techniques of PMU- A Review