scholarly journals 3Es System Optimization under Uncertainty Using Hybrid Intelligent Algorithm: A Fuzzy Chance-Constrained Programming Model

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Jiekun Song ◽  
Kaixin Zhang ◽  
Zijian Cao
Keyword(s):  
Energy Consumption ◽  
Industrial Structure ◽  
Programming Model ◽  
System Optimization ◽  
Ammonia Nitrogen ◽  
Optimization Under Uncertainty ◽  
Chance Constrained Programming ◽  
Intelligent Algorithm ◽  
Total Energy Consumption ◽  
Hybrid Intelligent Algorithm

Harmonious development of 3Es (economy-energy-environment) system is the key to realize regional sustainable development. The structure and components of 3Es system are analyzed. Based on the analysis of causality diagram, GDP and industrial structure are selected as the target parameters of economy subsystem, energy consumption intensity is selected as the target parameter of energy subsystem, and the emissions of COD, ammonia nitrogen, SO2, andNOXand CO2emission intensity are selected as the target parameters of environment system. Fixed assets investment of three industries, total energy consumption, and investment in environmental pollution control are selected as the decision variables. By regarding the parameters of 3Es system optimization as fuzzy numbers, a fuzzy chance-constrained goal programming (FCCGP) model is constructed, and a hybrid intelligent algorithm including fuzzy simulation and genetic algorithm is proposed for solving it. The results of empirical analysis on Shandong province of China show that the FCCGP model can reflect the inherent relationship and evolution law of 3Es system and provide the effective decision-making support for 3Es system optimization.

A Fuzzy Programming Model of Supplier Selection

2012 ◽  
Vol 468-471 ◽  
pp. 668-673 ◽  
Author(s):  
Hua Jiang ◽  
Zhi Gang Lu
Keyword(s):  
Supplier Selection ◽  
Programming Model ◽  
Fuzzy Programming ◽  
Chance Constrained Programming ◽  
Hybrid Intelligent Algorithm ◽  
Fuzzy Variables ◽  
Fuzzy Expected Value ◽  
Order Quantities ◽  
Constrained Programming ◽  
Fuzzy Programming Model

An integrated supplier selection problem under fuzzy environment is studied in this paper. Firstly, the linear weight method is used to calculate the scores of suppliers according to their different attributes, such as: quality, service, warranty, delivery, reputation and position, which are assumed as fuzzy variables. Secondly, a fuzzy expected value programming model and a fuzzy chance-constrained programming model are proposed to select the best combination of the suppliers and determine the order quantities. A hybrid intelligent algorithm, based on fuzzy simulation, genetic algorithm and neural network, is used to solve the two models. Finally, a numerical example is given to illustrate the effectiveness of the proposed models.

scholarly journals Optimization for Service Routes of Pallet Service Center Based on the Pallet Pool Mode

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Kang Zhou ◽  
Shiwei He ◽  
Rui Song
Keyword(s):  
Shortest Path ◽  
Programming Model ◽  
Time Windows ◽  
Method Of Lines ◽  
Chance Constrained Programming ◽  
Service Center ◽  
Chinese Postman Problem ◽  
Routing Problem ◽  
Hybrid Intelligent Algorithm ◽  
Constrained Programming

Service routes optimization (SRO) of pallet service center should meet customers’ demand firstly and then, through the reasonable method of lines organization, realize the shortest path of vehicle driving. The routes optimization of pallet service center is similar to the distribution problems of vehicle routing problem (VRP) and Chinese postman problem (CPP), but it has its own characteristics. Based on the relevant research results, the conditions of determining the number of vehicles, the one way of the route, the constraints of loading, and time windows are fully considered, and a chance constrained programming model with stochastic constraints is constructed taking the shortest path of all vehicles for a delivering (recycling) operation as an objective. For the characteristics of the model, a hybrid intelligent algorithm including stochastic simulation, neural network, and immune clonal algorithm is designed to solve the model. Finally, the validity and rationality of the optimization model and algorithm are verified by the case.

scholarly journals Green Scheduling of Jobs and Flexible Periods of Maintenance in a Two-Machine Flowshop to Minimize Makespan, a Measure of Service Level and Total Energy Consumption

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Sadiqi Assia ◽  
Ikram El Abbassi ◽  
Abdellah El Barkany ◽  
Moumen Darcherif ◽  
Ahmed El Biyaali
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Production Scheduling ◽  
Programming Model ◽  
Energy Performance ◽  
Service Level ◽  
Mixed Integer ◽  
Binary Integer Programming ◽  
Total Energy Consumption ◽  
Machining Operations

The success of an industry today depends on its ability to innovate. In terms of energy performance, this innovation is reflected in the ability of manufacturers to implement new solutions or technologies that enable better energy management. In this regard, this paper aims to address this gap by incorporating energy consumption as an explicit criterion in flowshop scheduling of jobs and flexible preventive maintenance. Leveraging the variable speed of machining operations leading to different energy consumption levels, we explore the potential for energy saving in manufacturing. We develop a mixed integer linear multiobjective optimization model for minimizing the makespan and the total energy consumption. In the literature, no papers considering both production scheduling and flexible periods of maintenance with minimizing both objective the total of energy consumption in flowshop and makespan. The performance of the proposed mixed binary integer programming model is evaluated based on the exact method of branch and bound algorithm. A study of the results proved the performance of the model developed.

scholarly journals The Energy-Efficient Dynamic Route Planning for Electric Vehicles

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Wenjuan Zhou ◽  
Li Wang
Keyword(s):  
Energy Consumption ◽  
Travel Time ◽  
Electric Vehicles ◽  
Energy Efficient ◽  
Programming Model ◽  
Transportation Network ◽  
Route Planning ◽  
Planning Problem ◽  
Total Energy Consumption ◽  
Driving Mode

Aiming to provide an approach for finding energy-efficient routes in dynamic and stochastic transportation networks for electric vehicles, this paper addresses the route planning problem in dynamic transportation network where the link travel times are assumed to be random variables to minimize total energy consumption and travel time. The changeable signals are introduced to establish state-space-time network to describe the realistic dynamic traffic network and also used to adjust the travel time according to the signal information (signal cycle, green time, and red time). By adjusting the travel time, the electric vehicle can achieve a nonstop driving mode during the traveling. Further, the nonstop driving mode could avoid frequent acceleration and deceleration at the signal intersections so as to reduce the energy consumption. Therefore, the dynamically adjusted travel time can save the energy and eliminate the waiting time. A multiobjective 0-1 integer programming model is formulated to find the optimal routes. Two methods are presented to transform the multiobjective optimization problem into a single objective problem. To verify the validity of the model, a specific simulation is conducted on a test network. The results indicate that the shortest travel time and the energy consumption of the planning route can be significantly reduced, demonstrating the effectiveness of the proposed approaches.

Coordinated development of industrial structure and energy structure in China: its measurement and impact on CO2 emissions

2020 ◽  
Vol 81 ◽  
pp. 29-42
Author(s):  
J Zhao ◽  
C Dong ◽  
X Dong ◽  
Q Jiang
Keyword(s):  
Energy Consumption ◽  
Industrial Structure ◽  
Measurement Model ◽  
Ordinary Least Squares ◽  
Energy Structure ◽  
Total Energy Consumption ◽  
Coordinated Development ◽  
Secondary Industry ◽  
Development Levels

This study aims to explore the coordinated development of energy and industrial structures in China and their influence on the country’s inter-provincial CO2 emissions. The study utilizes an unbalanced panel dataset for 30 provinces in China covering 1995-2014 and, based on this, constructs an index system and measurement model of the coordinated development of industrial and energy structures. Considering the stationarity and cointegration of the variables, a series of econometric techniques are employed. At the same time, panel fully modified- and dynamic ordinary least squares (FMOLS and DOLS, respectively) models are used to estimate the long-term parameters of all variables. The overall estimations imply that the coordinated development levels of the dual structures show fluctuating trends, and are mainly at a low coordinated level (50-85%). The coordinated development degree of the dual structures can lead to a decline in CO2 emissions at the provincial level. The key driver is total energy consumption, followed by, in order of their impacts on CO2 emissions, fossil energy consumption, secondary industry ratio, and total population of the provinces and dual structure collaboration. However, the results indicate varied performance among the variables across regions. Finally, corresponding policy recommendations are proposed.

Association between Carbon Emissions and Energy Consumption Structure in Hebei Province

2014 ◽  
Vol 955-959 ◽  
pp. 2607-2612
Author(s):  
Chun Hua Zhao ◽  
Yu E Wang ◽  
Dong Sheng He
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Total Energy ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Utilization Efficiency ◽  
Structure Evolution ◽  
Low Carbon ◽  
Total Energy Consumption ◽  
Consumption Structure

Based on the results of SSM, regional natural endowment conditions, the stage of economic development and the industrial structure evolution determine the energy consumption structure, while the changes in total energy consumption determine the changes in amount of carbon emissions. Under the premise of the total energy consumption is determined, the optimization of energy consumption structure will reduce the carbon intensity (emissions per unit of GDP), that is to achieve low-input, low-emission energy, high output, which is the essence of the low carbon economic development model. Hebei Energy consumption is heavily dependent on coal; however, coal utilization efficiency is low and unit energy carbon emissions are huge, therefore, energy structure dominated by carbon-based energy is a long-term constraint of the development of low carbon economy. Energy consumption structure is composed of regional natural endowments, the stage of economic development and industrial structure, and it is difficult to change in the short term.

Approaches and Countermeasures for Development of Energy-Saving Technology Service Industry in Tangshan City

2013 ◽  
Vol 368-370 ◽  
pp. 1332-1337
Author(s):  
Xiao Chun Liu ◽  
Li Na Zhou ◽  
Jie Bai
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Industrial Structure ◽  
Service Industry ◽  
Energy Performance ◽  
High Energy ◽  
Total Energy Consumption ◽  
Energy Service ◽  
Energy Consuming ◽  
Energy Saving Technology

Energy-saving service industry becomes a new force suddenly rises, and will be the largest energy-saving industry in the world. Tangshan City, adjacent to Beijing and Tianjin, is a typical resource-based city. Because its industrial structure is based on iron and steel, petrochemical and other resources, while energy-consuming structure based mainly on coal, that made Tangshan become one of China's high energy-consuming cities. In 2011 the city's total energy consumption was 95.5282 million tons of standard coal, accounting for 32.4% of Hebei province's energy consumption, and 2.7% of the whole state's respectively, while Tangshan City's GDP accounting for 22.5% of Hebei province and 1.2% of the nation.The huge energy consumption promotes vigorous development of energy-saving industry.The scale of Tangshan's energy service industry increases rapidly currently, for example, the output value of energy service industry in 2009 reached 32 billion RMB, and then its scale is continues to expand, and EPC(Energy Performance Contracting) is implemented gradually. However, it also shows a lot of problems, such as samll amount of energy-saving enterprises, lack of core competitive companies, shortage of funds, financing difficulties, lack of leading enterprises, irrational personnel structure, and the market system has not formed yet. If Tangshan's energy-saving services industry wants to achieve a good development, it must concentrate on that the publicity of industrial policy, creating a favorable environment for its development, speeding up development and applications of energy-saving technology, establishing industrial norms, strengthening self-discipline, innovating financial system, improve the financing environment, establishing credit publicity system, and promoting construction of industrial credit system.

Analysis of Econometric Relationship between Urbanization and Energy Consumption in China

2013 ◽  
Vol 295-298 ◽  
pp. 2475-2480 ◽  
Author(s):  
Qing You Yan ◽  
Xiao Mei Dong ◽  
Xin Yao
Keyword(s):  
Energy Consumption ◽  
Industrial Structure ◽  
Integration Theory ◽  
Short Term ◽  
Total Energy Consumption ◽  
Resource Saving ◽  
Correction Model ◽  
Urbanization Level ◽  
Equilibrium Relationship

This paper analyzed the econometric relationship between the urbanization and energy consumption from 1990 to 2010 in China with the co-integration theory and the error correction model. The results show that there is a long-term equilibrium relationship between urbanization and the total energy consumption, which has an effect of short-term adjustment. Urbanization has different effects on the consumption of coal, natural gas and electricity. Besides, the improvement of the urbanization level can lead to the increase of energy consumption in the short term. However, the energy efficiency can be improved in the long term due to the readjustment of the industrial structure and the promotion of energy-saving technologies. Therefore, the establishment of resource-saving urbanization model will help to reduce energy consumption under the current condition.

Quantification of the Embodied Impacts of International Trade on Energy and Environment in China

2012 ◽  
Vol 524-527 ◽  
pp. 3428-3432
Author(s):  
Di Wang ◽  
Ming Xin Wang
Keyword(s):  
International Trade ◽  
Energy Consumption ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Assessment Method ◽  
Embodied Energy ◽  
Pollutant Emissions ◽  
Total Energy Consumption ◽  
Energy And Environment ◽  
Export Strategy

Based on the input-output life cycle assessment method, the embodied energy consumption, air and water emissions of China's international trade in 2007 were estimated. The results showed that the embodied energy consumption of China's international trade in 2007 is up to 229.04 Mt, accounting for 8.62% of total energy consumption. The embodied Chemical Oxygen Demand, Ammonia Nitrogen, Sulfur Dioxide and Dust emissions caused by net exports accounted for 9.85%, 9.11%, 6.71% and 0.78% of the overall emissions in China, respectively. China’s export promoted energy consumptions and pollutant emissions significantly. Therefore, China should adjust its export strategy and structure to reverse the adverse effects on energy and environment caused by exportation.

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