Current Issue : July - September Volume : 2017 Issue Number : 3 Articles : 5 Articles
Numerous studies on wind power forecasting show that random errors found in the\nprediction results cause uncertainty in wind power prediction and cannot be solved effectively using\nconventional point prediction methods. In contrast, interval prediction is gaining increasing attention\nas an effective approach as it can describe the uncertainty of wind power. A wind power interval\nforecasting approach is proposed in this article. First, the original wind power series is decomposed\ninto a series of subseries using variational mode decomposition (VMD); second, the prediction model\nis established through kernel extreme learning machine (KELM). Three indices are taken into account\nin a novel objective function, and the improved artificial bee colony algorithm (IABC) is used to\nsearch for the best wind power intervals. Finally, when compared with other competitive methods,\nthe simulation results show that the proposed approach has much better performance...
The Smart Grid, regarded as the next generation power grid, uses two-way\nflows of electricity and information to create a widely distributed automated\nenergy delivery network. Energy/power plays a critical role for social, economic\nand industrial development. Because of industrial generalization, especially\nin agricultural and economical activities, the energy demand has increased\nrapidly in developed countries. Generation and usage of energy has\ndirect impact on modern power grid. In this scenario energy management is a\nhard task because load is dynamic and we don�t have control over it. Renewable\nor undepleted energy resources have great applications and impact in current\nelectric power system situation. For example it gives pollution free (green)\nenergy which is environment and user friendly. It is cost effective; it uses natural\nresources for its generation and hence do not waste any coal, gas etc. There\nare many inducements to empower energy productivity. As current smart grid\nis complex and non linear in operation and design, it used an optimized method\nthat provides maximum efficiency with minimum input. Our work depicts\na case study of hybrid electric aircraft for achieving high performance....
The availability of non-renewable energy sources such as crude oil, natural\ngas, coal etc., is fast diminishing. So the renewable energy sources such as solar,\nhydropower, geothermal, wind, tidal energy, are gaining more and more\nimportance. Many new developments to convert these renewable energy\nsources into usable forms are taking place. Most renewable energy sources are\nused to produce electricity. In this paper, a performance and efficiency simulation\nstudy of a smart-grid connected photovoltaic system using Chroma DC\nprogrammable power supply, AC programmable source and an Aurora Inverter\nis proposed. The simulation is performed in MATLAB environment\nwhere the Current-Voltage (I-V) and Power-Voltage (P-V) curves from the\nsolar array simulator are generated and plotted. The proposed topology has\nbeen verified with satisfactory results. In addition, temperature and irradiance\neffects on I-V and P-V characteristic curves are verified. Also, the efficiency\ncurves of the photovoltaic grid interface inverter are generated in the study.\nThe MATLAB code developed in this paper is a valuable tool for design engineers\ncomparing different inverters, calculating the optimum efficiency of a\ngiven inverter type....
This study aims to investigate the effect of regeneration on the output power\nand the thermal efficiency of the gas turbine power plant. The effect of ambient\nair temperature, regeneration effectiveness, and compression ratio on\nthe cycle thermal efficiency was also investigated. An existed gas turbine power\nplant of AL ZAWIA is used as a base in this study, and the calculations were\ncarried out utilizing MATLAB code. This intensive parametric study was\nconducted based on the fundamental of thermodynamics and gas turbine relations\nconsidering the effect of the operation conditions (ambient air temperature,\nregeneration effectiveness and compression ratio). It was found that\nadding regeneration to the simple gas turbine cycle results in an increase in\nthe thermal efficiency of cycle. It was also found that including regeneration\nin gas turbine cycle results in an increase in the output power of the cycle, and\nit results in a decrease in the exhaust gas temperature. The effect of the regeneration\neffectiveness was also predicted. It was found that increasing of regeneration\neffectiveness results in an increase in the output power of the cycle.\nIt was also found that the cycle thermal efficiency increases with increasing of\nthe regenerative effectiveness. The effect of ambient air temperature was also\npredicted. Increasing of the ambient air temperature results in a decrease in\nthe thermal efficiency of the cycle....
As a developing country with the rapid growth of economic and population\nlike Malaysia, energy and electricity play a critical role towards sustaining and\nsupporting the development of the nation. However, like many countries\nacross the world, Malaysia is facing challenges in reducing the carbon footprint\nwhile attending the expanding growth. In the Eleventh Malaysia Plan,\nMalaysia has pledged to renew and increase its commitment to the environment\nand long-term sustainability by adopting green growth initiatives. According\nto the plan, one of the approaches towards pursuing green growth is\nby undertaking the sustainable consumption and production concept that promotes\neconomic growth without compromising the environment. One of the\nstrategies is to focus on promoting renewable energy sources as well as boosting\nup the development of the systems. The last decade has seen a growing\ntrend towards renewable energy in Malaysia, particular in solar photovoltaic\napplications in recent years. This paper will investigate the potentials of installing\n5 MW solar PV plants in the state of Sabah according to feed in tariff incentives\nand its financial and environmental assessment in order to promote\nlarge scale solar PV in Malaysia. This paper calculates the economic viability\nthrough IRR and simple payback indicators and the environmental impact\nthrough CO2 emission reduction indicator for the proposed 5 MW plant....
Loading....