The Optimization Model and Its Application Research on the Thermal System of CHP Cogeneration Unit Based on "Unit Fuel Consumption" Theory

2011 ◽  
Author(s):  
Bi Qingsheng ◽  
Han Xue ◽  
Ren Guoxu
Keyword(s):  
Fuel Consumption ◽  
Optimization Model ◽  
Thermal System ◽  
Application Research ◽  
Unit Fuel Consumption ◽  
Consumption Theory

Application Research on Treatment of Micro-Polluted Raw Water in Winter Western Mountainous Cities Using Composite Coagulants of PAC-PDM

2011 ◽  
Vol 243-249 ◽  
pp. 4850-4855 ◽  
Author(s):  
Ping Xiang ◽  
Nan Zhang ◽  
Shao Jie Jiang ◽  
Zhi Zhang
Keyword(s):  
Response Surface Methodology ◽  
Objective Function ◽  
Response Surface ◽  
Optimization Model ◽  
Removal Rate ◽  
Function Optimization ◽  
Raw Water ◽  
Application Research ◽  
Agent Cost ◽  
Composite Coagulant

In this study, micro-polluted raw water in winter western mountainous cities was treated by PAC-PDM . The CCD model of response surface methodology was employed to investigate the removal rate of turbidity . Taken the model as constraint conditions and taken the minimum agent cost as the objective function, optimization model of composite coagulants is established. The results showed that when the turbidity was 1 NTU，the dosage of PAC (based on Al2O3) is about 26mg/L, and the proportion of optimization model of composite coagulant PAC-PDM is 5% and the dosage of PAC (based on Al2O3) is about 8mg/L. Therefore the dosage of PAC of the optimized composite coagulant could be decreased by about70%, and agent costs decreased by about 56% compared with those of PAC.

scholarly journals Optimization Model of Network-Level Pavement Maintenance Decision considering User Travel Time and Vehicle Fuel Consumption Costs

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Leilei Chen ◽  
Zepeng Fan ◽  
Pengfei Liu ◽  
Zhendong Qian
Keyword(s):  
Travel Time ◽  
Fuel Consumption ◽  
Optimization Model ◽  
Evaluation Method ◽  
Optimal Strategies ◽  
Optimization Method ◽  
Condition Index ◽  
Ride Quality ◽  
Price Ratio ◽  
Pavement Maintenance

The maintenance management decisions of network-level asphalt pavements have long been a challenge to highway agencies, and a great amount of factors have been involved. In this study, a network-level optimization method was established by integrating the maintenance benefits into the zero-one programming optimization model. An optimized performance evaluation method of asphalt pavement was proposed which contains 11 different kinds of combinations. The benefit model quantifies the cost savings of user travel time and vehicle fuel consumption to the pavement condition index (PCI) and ride quality index (RQI), respectively. Based on the simplified evaluation method as well as the quantified maintenance benefit model, an optimization model was established by employing the zero-one programming. This optimization model aimed to maximize the improvements/price ratio of pavement maintenance for the whole pavement network. The calculation results present the optimal strategies of maintenance for every road section in the network. The applicability of the newly proposed model was validated by a case study. The methodology developed in this study helps to offer guidelines to highway agencies in managing and making decisions about network-level pavement maintenance.

Research on Fixed Route Speed Optimization Based on Deep Neural Network and Genetic Algorithm

2020 ◽  
Author(s):  
Ziming Wang ◽  
Shunhuai Chen ◽  
Liang Luo
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Fuel Consumption ◽  
Bp Neural Network ◽  
Optimization Model ◽  
Power Model ◽  
Multi Objective ◽  
Speed Optimization ◽  
Main Engine ◽  
Engine Power

Abstract In the downturn of the shipping industry, optimizing the speed of ships sailing on fixed routes has important practical significance for reducing operating costs. Based on the ship-engine-propeller matching relationship, this paper uses BP neural network to build main engine power model, and correction factors are introduced into the main engine power model to reflect the influence of wind and wave. The Kalman filter algorithm is used to filter the data collected by a river-sea direct ship during the voyage from Zhoushan to Zhangjiagang. The filtered data and the meteorological data obtained from the European Medium-Range Weather Forecast Center are used as the data set of the BP neural network to predict the main engine power. Based on the main engine power model, a multi-objective optimization model of ship speed under the influence of actual wind and waves was established to solve the conflicting goals of reducing sailing time and reducing main engine fuel consumption. This multi-objective model is solved by a non-dominated fast sorting multi-objective genetic algorithm to obtain the Pareto optimal solution set, thereby obtaining the optimal speed optimization scheme. Compared with the original navigation scheme, the navigation time is reduced by 8.83%, and the fuel consumption of the main engine is reduced by 12.95%. The results show that the optimization model can effectively reduce the fuel consumption and control the sailing time, which verifies the effectiveness of the algorithm.

scholarly journals Employment characteristics of tine cultivators at deeper soil loosening

2016 ◽  
Vol 61 (No. 2) ◽  
pp. 80-86 ◽  
Author(s):  
P. Šařec ◽  
O. Šařec
Keyword(s):  
Size Distribution ◽  
Fuel Consumption ◽  
Evaluation Criteria ◽  
Soil Surface ◽  
Work Rate ◽  
Plant Residues ◽  
Work Quality ◽  
Unit Fuel Consumption ◽  
Employment Characteristics

The work quality of selected tine cultivators that are suitable equally for deeper soil cultivation has been evaluated. The following implements were tested in a stubble field: Köckerling Vario 570, Simba Solo 450, Horsch Terrano 5 FX, Strom Finisher Mega 8000, Farmet Turbulent 450, Kverneland CLC 430, Väderstad TopDown 400. The cultivator evaluation criteria were the following: quantity of plant residues left on the soil surface, size distribution of clods, transverse elevation profile of the soil surface, elevation profile of the furrow bottom, cultivation depth, unit fuel consumption, travel reduction ratio, work-rate, and unit draft of a cultivator. All of the cultivators were equipped mainly with tine tools, followed further on by disc tools and either by levelling or by crumbling tools. Plant residues were well worked into the soil by Väderstad and Farmet cultivators. Horsch, Kverneland and Väderstad cultivators showed good crumbling effect. The highest work speed was reached by tractors with Strom and Horsch implements.

Combined fuel consumption and emission optimization model for heavy construction equipment

2020 ◽  
Vol 110 ◽  
pp. 103007 ◽  
Author(s):  
Masoud Masih-Tehrani ◽  
Salman Ebrahimi-Nejad ◽  
Masoud Dahmardeh
Keyword(s):  
Fuel Consumption ◽  
Optimization Model ◽  
Construction Equipment ◽  
Heavy Construction

scholarly journals Evaluation of an HSM 208F 14tone HVT-R2 Forwarder Prototype under Conditions of Steep-Terrain Low-Access Forests

2021 ◽  
Vol 42 (2) ◽  
Author(s):  
Stelian Alexandru Borz ◽  
Marina Viorela Marcu ◽  
Maria Francesca Cataldo
Keyword(s):  
Fuel Consumption ◽  
Performance Improvement ◽  
Work Environments ◽  
Fuel Savings ◽  
The Road ◽  
Net Productivity ◽  
Field Evidence ◽  
Flexible Adaptation ◽  
Steep Terrain ◽  
Unit Fuel Consumption

Forwarding technology is well established in use around the world but, at the same time, forwarders are expensive machines that require a good planning to ensure the sustainability of operations. In addition, forwarder market is characterized by a limited pool of customers, therefore innovation attempts may be limited compared to other product development industries. Since the steps towards a full automation of operations are still at their beginning, improvements of forwarder machines may rest in developing and integrating components that could contribute to an increased effectiveness. To respond to such challenges, the Forwarder2020 project developed innovative components that were integrated in a number of forwarder prototypes based on a market pull approach that resulted in a flexible adaptation to customer requirements and work environments. Since one of the typical work environments was that of low access forests, some components (i.e. suspended cabin and transmission system) were engineered to enable faster and safer operations and to economize fuel. As a common validation step is that of bringing field evidence on the performance improvement, this study evaluated the operational speed, productivity and fuel consumption of a forwarder prototype in conditions of a steep-terrain low-access forest. The main findings were very promising as the prototype was able to operate at significantly increased speeds and the fuel savings were evident. For an average forwarding distance of about 1.5 km, net productivity and efficiency rates were estimated at 14.4 m3/h and 0.07 h/m3, respectively. They were related to the availability of wood, and further improvement of such figures is possible by a better organization of tree felling and processing. Operational speed was affected by the condition of skid roads used for forwarding, which were harsh. During the transportation tasks developed on roads typical for forwarding, the machine was able to sustain average speeds estimated at 8 km/h. As a matter of fact, in such tasks, the dominant operational speed (almost in 100% of the cases) was higher than 5 km/h irrespective of the road condition. Hourly fuel consumption was estimated based on the time in which the engine was working and it amounted to 17.1 l/h. More importantly, by considering the forwarded payload in terms of volume and mass, the unit fuel consumption was estimated to be 1.25 l/m3 and 1.47 l/t, respectively. These results bring evidence on the performance improvement by modular innovation. In fact, such solutions could answer the challenges related to the sustainability of forest operations in low access forests.

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