Frequency: Quarterly E- ISSN: Awaited P- ISSN: 2249-1392 Abstracted/ Indexed in: CNKI Scholar (China National Knowledge Infrastructure), Ulrich's International Periodical Directory, Google Scholar, SCIRUS, Genamics JournalSeek
Quarterly published in print and online "Inventi Impact: Energy & Power" publishes high quality unpublished as well as high impact pre-published research and reviews catering to the needs of researchers and professionals. This multidisciplinary journal deals with all the aspects related to energy and power engineering with special emphasis on alternative fuels, bio-energy, coalbed methane, combustion, conventional energy power generation, electrical technologies, energy analysis and optimization, energy efficiency, energy resources, energy storage, heat pumps, hydro, organic and inorganic photovoltaics, petroleum engineering, power electronic engineering, small-scale nuclear, solar energy, tidal power, wave power, wind power etc.
Compared with front engine vehicle, the windward side�s flow field in cooling model of rear engine\nbus is complicated and it can�t be calculated by means of 1D model. For this problem, this paper\nhas used Star-CCM to build a 3D simulation model of cooling system, engine compartment and\ncomplete vehicle. Then, it had a 1D/3D coupling calculation on cooling system with Kuli software.\nIt could be helpful in the optimization design of the flow field of rear engine compartment and optimization\nmatch of cooling system....
Many existing battery energy storage system (BESS) control schemes focus on mitigating negative\nimpacts resulting from the operation of distributed energy resources-photovoltaic facilities (DERPV).\nThese include out-of-firm conditions from reverse power flow or extreme variability in the\nservice voltage. Existing control strategies fail to consider how BESS control schemes need to operate\nin a consecutive day-to-day basis in order for them to be implemented in the field. In this\npaper, a novel energy management algorithm capable of dispatching a BESS unit upstream of a\nmulti-megawatt DER-PV is introduced. This algorithm referenced as the Master Energy Coordinator\n(MEC), accepts forecasted DER-PV generation and individual feeder load to create daily charge\nand discharge rate schedules. Logic is integrated to the cyclic discharging event to sync with the\nforecasted peak load, even when it will occur during the morning of the next day. To verify the\nMEC operation, Quasi-Static Time Series (QSTS) simulations are conducted on a 12.47 kV distribution\nfeeder model utilizing historical head-of-feeder and DER-PV analog DSCADA measurements...
A proactive heating method is presented aiming at reducing the energy consumption in a HVAC system while maintaining\nthe thermal comfort of the occupants. The proposed technique fuses time predictions for the zones� temperatures, based on a\ndeterministic subspace identification method, and zones� occupancy predictions, based on a mobility model, in a decision scheme\nthat is capable of regulating the balance between the total energy consumed and the total discomfort cost. Simulation results for\nvarious occupation-mobility models demonstrate the efficiency of the proposed technique....
By applying the hydrogen index values obtained from S2 versus TOC graph and mass balance calculations obtained from the results of Rock-Eval pyrolysis, the original hydrocarbon generative capacity and the amounts of the hydrocarbons generated are estimated. For calculations and comparison, two methods were applied (Claypool et al. 1998 and Schmoker 1994) for 30 organic rich samples representative Kharita and Khatatba formations, from wells IF 37-7 and S. Dabaa 11-1. Such formations are characterized by gas/oil prone source rock (Type III/II kerogen) with different thermal maturities. Calculation results indicate that the amounts of original hydrocarbons and the hydrocarbon generative capacities of the two methods are similar and not correlated with the results of the Rock-Eval pyrolysis....
Lithium ion (Li-ion) batteries work as the basic energy storage components in modern\nrailway systems, hence estimating and improving battery efficiency is a critical issue in optimizing\nthe energy usage strategy. However, it is difficult to estimate the efficiency of lithium ion\nbatteries accurately since it varies continuously under working conditions and is unmeasurable via\nexperiments. This paper offers a learning-based simulation method that employs experimental data\nto estimate the continuous-time energy efficiency and coulombic efficiency of lithium ion batteries,\ntaking lithium titanate batteries as an example. The state of charge (SOC) regions and discharge\ncurrent rates are considered as the main variables that may affect the efficiencies. Over eight million\nempirical datasets are collected during a series of experiments performed to investigate the efficiency\nvariation. A back propagation (BP) neural network efficiency estimation and simulation model is\nproposed to estimate the continuous-time energy efficiency and coulombic efficiency. The empirical\ndata collected in the experiments are used to train the BP network model, which reveals a test error of\n10âË?â??4. With the input of continuous SOC regions and discharge currents, continuous-time efficiency\ncan be estimated by the trained BP network model. The estimated and simulated result is proven to\nbe consistent with the experimental results....
This paper presents the application of dynamic voltage restorer (DVR) on Power distribution systems for mitigation of voltage sags at critical loads. DVR is one of the compensating types of custom power devices. This paper presents a selective harmonic elimination using diode clamped multi level inverter. These topologies are well suited for high-power, high-voltage level and low harmonic. Computer simulations results are presented to verify the performance of the 8 bus DVR system...
Brilliant Green has been used as a photosensitized in photogalvanic cell for solar energy conversion. EDTA was used as an electronic donor (reductant) and sodium lauryl sulphate (surfactant) was used as an anionic micelle for greater photoejection of electrons. The photopotential and photocurrent without surfactant was found to be 610 mV and 68 mV respectively whereas with surfactant their values were found to be 652 mV and 76 �µA respectively. The effect of various parameters on the electrical output of the cell has been studied. The current voltage (i-V) characteristics of the cell has also been observed. Performance of the cell was determined in dark at its power point....
A new dynamic model is developed in this paper based on the generic MATLAB\nbattery model. The battery capacity is expressed as a function of the self-discharge\nrate, the discharge current, the cycling life and the temperature of the battery.\nThe dependence of the model parameters on cycle life and temperature are estimated\nfrom the first order approximation. The detailed procedures and formula\nto extract the model parameters are presented and the extraction relies\nonly on the discharge curves at two different discharge currents, at two different\nlife cycles, and at two different temperatures. These discharge curves are typically\nprovided in the battery manufacturer�s datasheet. The proposed model is\nverified for both nickel-metal hydride and lithium-ion batteries by comparing\nthe calculated discharge curves with the results from the generic MATLAB\nmodel. The model is further validated for the Sinopoly lithium-ion battery\n(SP-LFP1000AHA) by comparing the model results with the discharge curves\nfrom the manufacturer�s datasheet at different discharge currents, different cycling\nnumbers, and different temperatures. Simulation results show that the new\nmodel can correctly predict voltage separation beyond the nominal zone while\nmaintaining the same level of accuracy as the generic MATLAB model in the\nexponential and nominal zones....
The pyrolytic characteristics and kinetics of new marginal soil energy plant Helianthus annuus stalk were investigated using\r\nthermogravimetric (TG)method from50 to 800�°Cinan inert argonatmosphere at different heatingrates of 5, 10,20and30�°Cmin-1.\r\nThe kinetic parameters of activation energy and pre-exponential factor were deduced by Popescu, Flynn-Wall-Ozawa (FWO), and\r\nKissinger-Akahira-Sunose (KAS) methods, respectively.The results showed that three stages appeared in the thermal degradation\r\nprocess.Theprimary devolatilization stage of H. annuus stalk can be described by the Avrami-Erofeev function (?? = 4).The average\r\nactivation energy of H. annuus stalk was only 142.9 kJmol-1. There were minor kinetic compensation effects between the preexponential\r\nfactor and the activation energy.Theresults suggest thatH. annuus stalk is suitable for pyrolysis, and more importantly,\r\nthe experimental results and kinetic parameters provided useful information for the design of pyrolytic processing system using H.\r\nannuus stalk as feedstock....
Themanagement of spent nuclear fuel assemblies of nuclear reactors is a priority subject amongmember states of the International\nAtomic Energy Agency. For the majority of these countries, the destination of such fuel assemblies is a decision that is yet to be\nmade and the â??wait-and-seeâ? policy is thus adopted by them. In this case, the irradiated fuel is stored in on-site spent fuel pools\nuntil the power plant is decommissioned or, when there is no more racking space in the pool, they are stored in intermediate\nstorage facilities, which can be another pool or dry storage systems, until the final decision is made. The objective of this study is\nto propose a methodology that, using optimization algorithms, determines the ideal time for removal of the fuel assemblies from\nthe spent fuel pool and to place them into dry casks for intermediate storage. In this scenario, the methodology allows for the\noptimal dimensioning of the designed spent fuel pools and the casksâ?? characteristics, thus reducing the final costs for purchasing\nnew Nuclear Power Plants (NPP), as the size and safety features of the pool could be reduced and dry casks, that would be needed\nanyway after the decommissioning of the plant, could be purchased with optimal costs. To demonstrate the steps involved in the\nproposed methodology, an example is given, one which uses the Monte Carlo N-Particle code (MCNP) to calculate the shielding\nrequirements for a simplified model of a concrete dry cask. From the given example, it is possible to see that, using real-life data,\nthe proposed methodology can become a valuable tool to help making nuclear energy a more attractive choice costwise....
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