Introduction to Optimization Analysis in Hydrosystem Engineering

Goodarzi, Ehsan; Ziaei, Mina; Hosseinipour, E. Zia

doi:10.1007/978-3-319-04400-2

Cited by 22 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The front formed by the non-dominated individuals of the optimization in the multidimensional objective function space is called the pareto-optimal front. The elements of this front constitute the result of the optimization (see [15]).…”

Section: The Optimization Algorithmmentioning

confidence: 99%

“…where p n is the number of poles, pw is the number of parallel wires, mag d is the diameter of the envelope of the magnets, and P2x is the inner radius of the stator minus the air gap. Constraint (15) specifies the minimum distance between the magnets and the rotor cuts, constraint (16) prevents the rotor and stator from crossing, constraint (17) specifies the minimum winding requirements, and constraint (18) ensures the correct shape of the magnets.…”

Section: The Constraintsmentioning

confidence: 99%

See 1 more Smart Citation

Investigating the Effect of Gear Ratio in the Case of Joint Multi-Objective Optimization of Electric Motor and Gearbox

Istenes,

Polák

2024

Energies

View full text Add to dashboard Cite

In this paper, a software framework is presented through an application that is able to jointly optimize an electric motor and a gearbox for the design of a drive system for electric vehicles. The framework employs a global optimization method and uses both analytical and finite element method (FEM) models to evaluate the objective functions. The optimization process is supported by a statistical surrogate model, which allows a large reduction of runtime. An earlier version of this framework was only suitable for electric motor optimization. In the application presented in a previous paper, the motor of a belt-driven electric drive system was optimized. In this paper, the optimization of the same drive system is shown, but now with a combined optimization of a gear drive and motor. The objective functions of optimization are minimizing the total loss energy and the weight of the drive system. The optimization results are compared with previous results to demonstrate the further potential of joint optimization.

show abstract

Section: The Optimization Algorithmmentioning

confidence: 99%

Section: The Constraintsmentioning

confidence: 99%

Investigating the Effect of Gear Ratio in the Case of Joint Multi-Objective Optimization of Electric Motor and Gearbox

Istenes,

Polák

2024

Energies

View full text Add to dashboard Cite

show abstract

“…These relevant treatments lie on the "Pareto frontier" (optimal path). 142,143 In other words, a treatment with an equal or greater efficacy while simultaneously providing an equal or lesser cost dominates other treatments, whereas other therapies that would yield a lesser or equal performance while with equal or higher costs are considered inadmissible (Figure 8). Lastly, when the model was fit to log-scale data for capturing relative returns on membrane costs (using changes in log ridge width and height as the outcomes with log reference costs for the membrane), a diminishing return was observed for an additional dollar spent for a barrier membrane beyond approximately US$50 and gaining additional performance in ridge preservation (Figure 9).…”

Section: Cost-effectiveness Of Alveolar Ridge Preservationmentioning

confidence: 99%

Alveolar ridge preservation: Complications and cost‐effectiveness

Barootchi

Tavelli

Majzoub

et al. 2022

Periodontology 2000

View full text Add to dashboard Cite

Alveolar ridge preservation is routinely indicated in clinical practice with the purpose of attenuating postextraction ridge atrophy. Over the past two decades numerous clinical studies and reviews on this topic have populated the literature. In recent years the focus has primarily been on analyzing efficacy outcomes pertaining to postextraction dimensional changes, whereas other relevant facets of alveolar ridge preservation therapy have remained unexplored. With this premise, we carried out a comprehensive evidence‐based assessment of the complications associated with different modalities of alveolar ridge preservation and modeled the cost‐effectiveness of different therapeutic modalities as a function of changes in ridge width and height. We conclude that, among allogeneic and xenogeneic bone graft materials, increased expenditure does not translate into increased effectiveness of alveolar ridge preservation therapy. On the other hand, a significant association between expenditure on a barrier membrane and reduced horizontal and vertical ridge resorption was observed, though only to a certain degree, beyond which the return on investment was significantly diminished.

show abstract

“…We use Lingo tools [60], [61] to conduct a simulation study to evaluate the effectiveness of E2SP discussed in Sections III based on experiments. In the simulation setup, we consider a scenario with 10 energy consumers (i.e., m = 10) and 4 energy suppliers (i.e., n = 4) as shown in Table 3.…”

Section: A Evaluation Setupmentioning

confidence: 99%

An Energy Scheduling Strategy With Priority Within Islanded Microgrids

et al. 2019

View full text Add to dashboard Cite

To achieve self-healing in the smart grid, the microgrid can be switched to the islanded state for effective autonomy in the event of disasters or attacks. Based on the data collected by smart meters, the microgrid can support an efficient energy scheduling strategy to guide both energy suppliers and consumers so that electricity can be used efficiently. Significant research efforts have been carried out regarding energy scheduling. Nonetheless, the majority of existing strategies failed to prioritize consumers. In fact, the energy consumption order of different users should be distinguished from each other in islanded microgrids with limited energy supply, meaning that they have different priority. To address this issue, in this paper we propose an energy scheduling strategy with priority within islanded microgrids (E2SP) to ensure that consumers with higher priority can obtain energy supply in an earlier order. To be specific, we solve the problem of deriving the amount of power each energy supplier should supply to each consumer via using the Goal Programming Model with positive and negative deviation variables. To evaluate the validity of E2SP, we conduct comprehensive experiments in five cases. The results show that the E2SP strategy can effectively ensure that energy is supplied to consumers in order of priority. In addition, we introduce the dissatisfaction degree as a metric to measure the effectiveness of our strategy. Simulation results show that our E2SP strategy has a lower dissatisfaction degree compared with the scheduling strategy without considering priority, indicating that our E2SP strategy is more effective. INDEX TERMS Energy scheduling strategy, islanded microgrids, priority.

show abstract

Introduction to Optimization Analysis in Hydrosystem Engineering

Cited by 22 publications

References 0 publications

Investigating the Effect of Gear Ratio in the Case of Joint Multi-Objective Optimization of Electric Motor and Gearbox

Investigating the Effect of Gear Ratio in the Case of Joint Multi-Objective Optimization of Electric Motor and Gearbox

Alveolar ridge preservation: Complications and cost‐effectiveness

An Energy Scheduling Strategy With Priority Within Islanded Microgrids

Contact Info

Product

Resources

About