A Simulation Based Comprehensive Performance Evaluation of Cat® C4.4 Current Production Engine with its Split Cycle Clean Combustion Variant using a Validated One-Dimensional Modeling Methodology

2013 ◽  
Author(s):  
Keshav Sud ◽  
Sabri Cetinkunt ◽  
Scott Fiveland
Keyword(s):  
Performance Evaluation ◽  
One Dimensional ◽  
Modeling Methodology ◽  
Dimensional Modeling ◽  
Simulation Based ◽  
Comprehensive Performance ◽  
Current Production ◽  
Clean Combustion

Modeling and Validation of a Split Cycle Clean Combustion Diesel Engine Concept

2013 ◽  
Vol 135 (8) ◽  
Author(s):  
Keshav Sud ◽  
Sabri Cetinkunt ◽  
Scott B. Fiveland
Keyword(s):  
Diesel Engine ◽  
Diesel Fuel ◽  
Diesel Combustion ◽  
One Dimensional ◽  
Clean Diesel ◽  
Modeling Methodology ◽  
Dimensional Modeling ◽  
Clean Diesel Combustion ◽  
The University ◽  
Clean Combustion

This paper is a part of the research happening at the University of Illinois at Chicago together with Caterpillar Inc. for the development and validation of a split cycle clean combustion engine (SCCCE) operating on diesel fuel. A two-cylinder variant of the SCCCE is modeled using Caterpillar's one-dimensional modeling software Dynasty, following the geometric and boundary specifications given by the University of Pisa in their paper by Musu et al. (2010, “Clean Diesel Combustion by Means of the HCPC Concept,” SAE Paper No. 2010-01-1256). The results are compared to validate our modeling methodology. The split cycle clean combustion (SCCC) concept may significantly reduce gaseous and particulate emissions while maintaining high engine efficiency compared to the current state of the art diesel engine. Some manufacturers have been prototyping gasoline engines based on the SCCC concept, but there are no diesel fuel powered SCCC engine prototypes existing in the market. This study will be a significant contribution in the performance evaluation of SCCC diesel engines at high load and part load conditions. A one-dimensional modeling technique was chosen for this study due to the need of a fast running model that could be improved using design of experiments (DOE) analysis. Computational fluid dynamics (CFD) modeling produces more accurate results but limits one's ability to model a large number of configurations due to its large computational overhead that slows down the overall simulation process, thus making CFD models not feasible for this DOE. In order to accurately model an SCCC engine, we first validated our modeling methodology by reproducing results of the CFD based model presented by University of Pisa in Musu et al. (2010, “Clean Diesel Combustion by Means of the HCPC Concept,” SAE Paper No. 2010-01-1256). A satisfactory comparison of results confirmed our modeling approach and enabled us to integrate more complex models that will be discussed in future publications.

scholarly journals Performance Evaluation of Wave Input Reduction Techniques for Modeling Inter-Annual Sandbar Dynamics

2019 ◽  
Vol 7 (5) ◽  
pp. 148
Author(s):  
Bruna de Queiroz ◽  
Freek Scheel ◽  
Sofia Caires ◽  
Dirk-Jan Walstra ◽  
Derrick Olij ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Numerical Models ◽  
Wave Climate ◽  
Computational Effort ◽  
Brute Force ◽  
Reduction Techniques ◽  
Simulation Based ◽  
Comprehensive Performance ◽  
Reduction Methods

In process-based numerical models, reducing the amount of input parameters, known as input reduction (IR), is often required to reduce the computational effort of these models and to enable long-term, ensemble predictions. Currently, a comprehensive performance assessment of IR-methods is lacking, which hampers guidance on selecting suitable methods and settings in practice. In this study, we investigated the performance of 10 IR-methods and 36 subvariants for wave climate reduction to model the inter-annual evolution of nearshore bars. The performance of reduced wave climates is evaluated by means of a brute force simulation based on the full climate. Additionally, we tested how the performance is affected by the number of wave conditions, sequencing, and duration of the reduced wave climate. We found that the Sediment Transport Bins method is the most promising method. Furthermore, we found that the resolution in directional space is more important for the performance than the resolution in wave height. The results show that a reduced wave climate with fewer conditions applied on a smaller timescale performs better in terms of morphology than a climate with more conditions applied on a longer timescale. The findings of this study can be applied as initial guidelines for selecting input reduction methods at other locations, in other models, or for other domains.

scholarly journals One-dimensional modeling methodology for shock tubes: Application to the EAST facility

2018 ◽  
Author(s):  
Maitreyee Sharma Priyadarshini ◽  
Alessandro Munafò ◽  
Aaron M. Brandis ◽  
Brett A. Cruden ◽  
Marco Panesi
Keyword(s):  
Shock Tubes ◽  
One Dimensional ◽  
Modeling Methodology ◽  
Dimensional Modeling

scholarly journals Comprehensive Performance Evaluation of Green Infrastructure Practices for Urban Watersheds Using an Engineering–Environmental–Economic (3E) Model

2021 ◽  
Vol 13 (9) ◽  
pp. 4678
Author(s):  
Yi-Jia Xing ◽  
Tse-Lun Chen ◽  
Meng-Yao Gao ◽  
Si-Lu Pei ◽  
Wei-Bin Pan ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Environmental Economic ◽  
Environmental Impact ◽  
Pollution Control ◽  
Green Infrastructure ◽  
Stormwater Management ◽  
Economic Cost ◽  
Urban Watersheds ◽  
Comprehensive Performance ◽  
Detention Basins

Green infrastructure practices could provide innovative solutions for on-site stormwater management and runoff pollution control, which could relieve the stress of nonpoint pollution resulting from heavy rainfall events. In this study, the performance and cost-effectiveness of six green infrastructure practices, namely, green roofs, rain gardens, pervious surfaces, swales, detention basins, and constructed wetlands, were investigated. The comprehensive performance evaluation in terms of the engineering performance, environmental impact, and economic cost was determined in the proposed engineering–environmental–economic (3E) triangle model. The results revealed that these green infrastructure practices were effective for stormwater management in terms of runoff attenuation, peak flow reduction and delay, and pollutant attenuation. It was suggested that for pollution control, detention basins can efficiently reduce the total suspended solids, total nitrogen, total phosphorus, and lead. The implementation of detention basins is highly recommended due to their higher engineering performance and lower environmental impact and economic cost. A case study of a preliminary cost–benefit analysis of green infrastructure practice exemplified by the Pearl River Delta in China was addressed. It suggested that green infrastructure was cost-effective in stormwater management in this area, which would be helpful for sustaining healthy urban watersheds.

Simulation-based site amplification model for shallow bedrock sites in Korea

2021 ◽  
pp. 875529302098198
Author(s):  
Muhammad Aaqib ◽  
Duhee Park ◽  
Muhammad Bilal Adeel ◽  
Youssef M A Hashash ◽  
Okan Ilhan
Keyword(s):  
Linear Models ◽  
Site Response ◽  
Site Amplification ◽  
One Dimensional ◽  
Nonlinear Component ◽  
Nonlinear Site Response ◽  
Simulation Based ◽  
Linear And Nonlinear ◽  
Input Motion ◽  
Nonlinear Components

A new simulation-based site amplification model for shallow sites with thickness less than 30 m in Korea is developed. The site amplification model consists of linear and nonlinear components that are developed from one-dimensional linear and nonlinear site response analyses. A suite of measured shear wave velocity profiles is used to develop corresponding randomized profiles. A VS30 scaled linear amplification model and a model dependent on both VS30 and site period are developed. The proposed linear models compare well with the amplification equations developed for the western United States (WUS) at short periods but show a distinct curved bump between 0.1 and 0.5 s that corresponds to the range of site natural periods of shallow sites. The response at periods longer than 0.5 s is demonstrated to be lower than those of the WUS models. The functional form widely used in both WUS and central and eastern North America (CENA), for the nonlinear component of the site amplification model, is employed in this study. The slope of the proposed nonlinear component with respect to the input motion intensity is demonstrated to be higher than those of both the WUS and CENA models, particularly for soft sites with VS30 < 300 m/s and at periods shorter than 0.2 s. The nonlinear component deviates from the models for generic sites even at low ground motion intensities. The comparisons highlight the uniqueness of the amplification characteristics of shallow sites that a generic site amplification model is unable to capture.

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