in my energy systems class, a technical elective taken by mechanical engineering students.The course is basically an applied thermodynamics class, covering conventional andunconventional power and refrigeration systems. Over the course of two class periods, I derivedthe equation resulting in the “Hubbert curve,” and then had students use it to model theproduction rates of various fossil fuels, predicting the years of peak production rate anddepletion.The exponential modelThe exponential model assumes that the instantaneous rate of production is proportional to thecumulative production, Q: dQ ? aQ (1
Q7 4.06 4 Q8 4.74 4.5 Q9 4.47 4.57 Q 10 4.68 4.57 Q 11 4.47 4.43 Q 12 4.42 4.33 Q 13 4.56 4.17 Q 14 4.11 4.43 Q 15 4.47 4.57 Q 16 4.42 4.71 Q 17
2 1 0 0 1 2 3 4 5 1 2 3 4 5 Student response Student response Figure 1. Responses to Q. 1 INL Wind Figure 2. Responses to Q. 2 INL Wind 12 8 10 Student count Student count 6 8 6 4 4
; L2 = 35 km; Transformer Information L3 = 40 km; T1: 100 MVA, 13.8–230 kV, Ä–Y, L4 = 15 km; X = 0.1 pu L5 = 50 km T2: 200 MVA, 15.0–230 kV, Ä–Y, X = 0.1 pu Power Flow Data Transformer neutrals are solidly grounded Bus 1: Slack bus Bus 2, 3, 4, 5, 6: Load buses System Base Quantities Bus 7: Generator (PV) bus; V = 15 kV; Sbase = 100 MVA (three-phase) P = 180 MW; -87 MVAR < Q < 87 MVAR Vbase = 13.8 kV (line-to-line) at Bus 1 Figure 2. Power Flow Results for Base Case of System Shown in Figure 1
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) Figure 4: PWM generation technique for CHB.Control Strategy:Upon successful development of the design and modulation of all power converters of SST, it isimportant to develop a control model to provide a reliable, resilient, and efficient SST for thegrid application. The high and low voltage balancing operation across the DC bus capacitor hasbeen very challenging for SST configuration especially for parallel-connected DAB and multi-port application [15]. In this paper, a d-q vector control-based DC voltage and load voltagebalancing technique for both rectifier and inverter stages are presented. A simple classic d-qvector controller is applied in this system.Rectifier StageThe high voltage grid is connected to the front end of the SST that is
AnalysisFluid flow characterization in most hydraulic systems can be derived from the Navier Stokesequation ( V ) 0 …. (1)tWhere, = density, V = flow velocity vector divergence operator of a general flow field.Considering energy input and energy loss in a pump, equation (1) for one dimensional fluid flowsimplifies as Bernoulli’s equationP1 V12 P V2 z1 hi hL 2 z2 2 …. (2) 2g 2gwhere hi and hL are input energy head and head loss between inlet and exit of a pump.Utilizing this at pump inlet and exit, the efficiency of the pump can be expressed in terms ofoutput pressure P, flow rate Q, torque and angular velocity as PQe F1 ( P, Q
real wind speed values at whichthe wind turbine motor shaft rotates. The given wind speed will be the reference speed to themotor system, i.e., the presumed wind speed will be converted to a reference voltage to drive themotor. The presumed wind turbine PMDC generator is connected to the presumed wind turbinemotor, rotating at the same speed and generating corresponding voltage values. The teams weregiven the following concept questions during the actual laboratory and were asked to include thecorresponding answers in their technical laboratory report: Q) Investigate the wind turbine mathematical equations, explain the variables affecting the power & voltage generation, and introduce another parameter to reflect real-life
. Furnace W Win + z 0 Ww Top View Ti Q H Q To η Q purchased
being negligible the 1st law of thermodynamics Page 15.1073.12during the heating process is: dE dU du & & = =m = Q −W dt dt dtc). Heat is transferred in via the radiant solar energy collected. Using the data collected,find an average value for Q& in during the heating process: Heat is transferred from the pot due to free convection which depends on thetemperature difference between the water and the surroundings. A theoretical estimate ofthis transfer can be determined to be
exposure.ModulesTen modules were developed for the purpose of instructing students how to approach and useCOMSOL Multiphysics with the classkit license, as well as strengthen their understanding ofelectromagnetic concepts taught in class. The ten modules can be organized into three separateprojects: • Demonstration of Ampère’s Law (Six Modules) • Demonstration of Electric Fields and Shielding (Two Modules) • Demonstration of Q and V Methods for Determining Capacitance (Two Modules)These projects guide the student through the creation of 2D and 3D geometries, the assigning ofmaterial properties and physical boundary conditions, the performing of a study, and the analysisof the results.Earlier modules provide more details and step-by-step
) and D is the pump/motordisplacement per radian. (In practice, the pressure in the reservoir is significantly less than thatin the accumulator, so we set Fp = paccumulator = p.) The volumetric flowrate through thepump/motor is Q = y h D.The pump/motor performance is linked to the accumulator thermodynamics through the energyequation relating the time rate of change of internal energy of the accumulator gas to the rate at dT dVwhich work is done by the gas: mcv ? /p . Here, m is the gas mass, cv is the constant- dt dtvolume specific heat for the gas, p is the gas pressure, and V is the gas volume. This equationassumes adiabatic behavior. In many
the economic viability of a PV system as an alternate energy sourcewhen compared to electricity from the grid. The economic analysis will consider a number offactors such as system location, wattage cost, loan interest rates, and government incentives. Theeconomic analysis is facilitated by developing user friendly Microsoft Excel based tools. Thefollowing procedure is used to perform the economic analysis.ProcedureThe following steps are involved:1. Calculate the energy requirements. The daily amount of energy, Q, required to meet house energy needs can be read from Page 25.1201.3 past utility bills.2. Estimate the Effective
® readily available on a university-widelicense.The program has an attractive level of sophistication. Forexample, its inputs are the following: physical dimensions,number of poles and slots, air gap width, frequency, positiveand negative sequence inputs, appropriate motor or generatorsign convention, power and torque output, resistances,reactances, simulation time and time step, and calculationdensity. The tool then builds and displays an appropriatephysical cross-section diagram of the stator created from the givendimensions, showing a correct number of slots with their windings properlypitched. It calculates a complete lumped parameter d-q model, displaying itsparticulars on request. The tool then creates the rotor from the given dimensions
defineddifferently for the two systems. We have COPHP = QH Q q = H = H Wnet Wnet w net COPRef Q Q = L = L = L q Wnet Wnet w netIn the geothermal industry, some confusion exits since the phrase “underground heat pump”refers to a system that sometimes operates as a refrigerator and sometimes as a heat pump. Idealoperation of a heat pump or refrigerator occurs when they operate on the basis of a Carnot cycleand we have
so an average soil temperature rise could be minimized. The studentperformed first-law analysis for the GSHP which was modeled as a closed system with a linesource of heat as shown in Figure 5. From the first law of thermodynamics, the energy balanceis as: E$ in / E$ out ? FE$ system ? FU$ system (1)For the GSHP shown in Figure 5, Equation 1 can be expressed as: FT Q$ in ? m © c p (2) Ft FTWhere, Q$ in , m, cp, and are the heat rate in, mass of soil, specific heat of soil, and Fttemperature rise per unit time, respectively. To
through each branch in m3 /s. Analysis: For each pipe: 4 Q Flow rate and velocity: Q = VA ⇒ V = [m/s] (1) π D2 ρV D Re = (2) µ 1 ε 2.51 For turbulent flow 0.5 = −2.0 log + (3) f 3.7D Re · f 0.5
Å c m% w ÖPressure loss due to the throttle valve is found by multiplying the valve closure (%throttle) by aninput change in pressure per %-closed value. A conditional check was included to ensure thepressure does not go below zero. Currently it is assumed that the valve is isenthalpic (constantenthalpy) and that the exit temperature is the saturation temperature at the exit pressure.There was not an easy way to determine the power out of the Variac as a function of controlknob position (%Variac). Therefore, the power delivered ( Q% input ) is computed from the knob Page 11.461.7position and a power per % knob position value. The
. Life Skills Outcomes C.1 This project had an impact on my critical thinking skills? C.2 This project improved my ability to work in teams and resolve conflicts?C. Civic Responsibility Outcomes C.1 This experiential learning project provided benefits to the community? In what capacity? C.2 My appreciation for integrated STEM (Science, Technology, Engineering, and Mathematics) research grown?Q.1 What did you like best about the experiential learning project?Q.2 What did you like least about the experiential learning project?D. Interpersonal: Mentor Relation Outcomes C.1 The mentor relationship with my graduate supervisor-mentor met my work objectives, needs and expectations? Please explain: C.2 I met regularly with my supervisor-mentor C.3 My
theUSDA National Institute of Food and Agriculture, for funding part of this work. Appreciation isalso for other members of the Imagine Tomorrow Competition steering committee. Additionally,the authors thank Brandon Werner, Mina Yekkalar, Benjamin Nantasai, and Trace Sendele fortheir contributions.Bibliography1. Langfitt, Q., Haselbach, L., and Hougham, R. J. (2015). “Artifact-Based Energy Literacy Assessment Utilizing Rubric Scoring.” Journal of Professional Issues in Engineering Education and Practice, 141(2), C5014002.2. Langfitt, Q., Haselbach, L., and Hougham, R.J. (2015). “Refinement of an Energy Literacy Rubric for Artifact Assessment and Application to the Imagine Tomorrow High School Energy Competition.” Journal of
heat transfer rate for a section of building can be found by q = UA∆T (9)Each section of the building envelope will have a different value of U and A, dependingon construction materials and surface area of the section. If the inside temperature is keptat a constant Ti, the total heat transfer, Q, during a time interval can be calculated by Q = ∑ UA ∫ (Ti − To (t ))dt (10). all sec tions timeThe ∑UA term is a constant in time for a given building, while the integral
concept.The students on this project are currently not receiving academic credit for their time and effortthough the intent is to provide academic credit as independent study for next school year.Furthermore, if grant funding is obtained, one or more students could receive compensation fortheir effort. AcknowledgementWe would like to acknowledge other members of the project team: Mason Muldoon, AustinConn, Jarrod Gilliam, Joseph Brisky, Austen Peppo. We would also like to acknowledge Prof.James McCargar, Chemistry Department, for his support and advice.References: 1. Logan, Bruce E., Microbial Fuel Cells, John Wiley & Sons, 2008. 2. Logan, Bruce. Microbial Fuel Cells: Q&A. Penn State College of
Figure 1: Model schematic for thermal model of homeSol-Air TemperatureA/C and Heating engineers have developed a methodology that permits them to take into accountsolar irradiation in heat transfer mechanisms associated with heating/cooling loads calculations[2]. The heat flux passing through an exterior, sunlit surface is given by: q A b g ? cEt - h0 To / Ti / gFR (0.1)where: Page 13.695.3 Proceedings of the 2008 American Society for Engineering Education Annual Conference &
efficiency of the anaerobic digestion process is controlled by: ‚ The type of waste digested ‚ It’s concentration ‚ It’s temperature ‚ The presence of toxic materials ‚ The PH and Alkalinity ‚ The HRT (Hydraulic Retention Time) time available to convert waste to gas HRT = V/Q Q = volume of tank V = daily flow of gas ‚ The SRT (Solid Retention Time) time required to convert the solid to gas ( 10- 15 days) for low rate digestion and ( 20-30 days) for high rate digestionCosts Estimation:The $ amount of the anaerobic digestor can be estimated according to
): (1) x In an artificial neuron, for each input w q a weight q is assigned. The neuron calculates the weighted sum z as shown in (2): (2) The output of the neuron is governed by the activation function, which acts as a threshold. Considering this, the output is given by (3): (3
electrical power systems are treated. The two methods of three-phase power systemrepresentation – wye connection and delta connections are presented. The concept of powertriangle is introduced and the inter-relationship between real, reactive and apparent power asillustrated in equation 1 and figure 1 is discussed. 𝑆𝑆 = 𝑃𝑃 + 𝑗𝑗𝑗𝑗 (1)whereS = Apparent Power (VA)P = Real Power (W)Q = Reactive Power (VAr)θ = Phase angle between the line current and the line voltage Page 24.388.4
, and to exhaust) wasdetermined. ⋅ 28.7 kW Q amb = = 0.082 = 8 percent 348.5 kW ⋅ 76.3 kW Q cooling = = 0.2189 = 22 percent 348.5 kW ⋅ 115 kW E elec = = 0.3299 = 33 percent 348.5 kW ⋅ 128 kW Q exhaust = = 0.367 = 37 percent 348.5 kWThese percentages were used in the EES model in order to calculate the heat flow to each areawhen the system electrical output was modified.Using the EES model, the following table was constructed to detail the electrical energygenerated and heat load provided by the exhaust gas boiler for different engine loads. Table 2
Engineering Research and Innovation. ISSN: 2152- 4165, Vol 7, 1, 43-47 Dakeev, U., Mazumder, Q., Yildiz, F., Baltaci, K., (2015). “Design and Development of a New Small-Scale Wind Turbine Blade”. ASEE Annual Conference, 2015, Seattle Hansen, M.O.L., Sorensen, N. N. & Flay, R. G. J., (2000). “Effect of Placing a Diffuser around a Wind Turbine.” Wind Energy, 3, pp.207-213, 2000 Kosasih, B. & Tondelli, A., (2012). Experimental study of shrouded micro-wind turbine. Evolving Energy-IEF International Energy Congress. [Electronic version]. Procedia Engineering 49 (2012) 92-98
Efficient Management of Wind Power Generation with the Application of Wind Tunnel Attachment on a Wind Turbine”. ATMAE Annual Conference, Cleveland, USA5. Dakeev, U., & Mazumder, Q., (2014). “Analysis of Wind Power Generation with Application of Wind Tunnel Attachment”, ASEE 2014-8501, 121st ASEE Annual Conference, June 13-15, 2014, Page 26.447.7 Indianapolis, USA6. Dakeev, U., Lam, C., Pung, J. (2015). “Analysis of Wind Power Generation with Wind Guide Attachment”. International Journal of Engineering Research and Innovation, 067J.7. NREL, (2015). National Renewable Energy Laboratory. www.nrel.org8. Toshio M., Shinya T. & Seeichi