A stochastic approach for load scheduling of cogeneration plants

Download
index.pdf
2010
Doğan, Osman Tufan
Show full item record
162
views
79
downloads
In this thesis, load scheduling problem for cogeneration plants is interpreted in the context of stochastic programming. Cogeneration (CHP) is an important technology in energy supply of many countries. Cogeneration plants are designed and operated to cover the requested time varying demands in heat and power. Load scheduling of cogeneration plants represents a multidimensional optimization problem, where heat and electricity demands, operational parameters and associated costs exhibit uncertain behavior. Cogeneration plants are characterized by their ‘heat to power ratio’. This ratio determines the operating conditions of the plant. However, this ratio may vary in order to adapt to the physical and economical changes in power and to the meteorological conditions. Employing reliable optimization models to enhance short term scheduling capabilities for cogeneration systems is an important research area. The optimal load plan is targeted by achieving maximum revenue for cogeneration plants. Revenue is defined for the purpose of the study as the sales revenues minus total cost associated with the plant operation. The optimization problem, which aims to maximize the revenue, is modeled by thermodynamic analyses. In this context, the study introduces two objective functions: energy based optimization, exergy-costing based optimization. A new method of stochastic programming is developed. This method combines dynamic programming and genetic algorithm techniques in order to improve computational efficiency. Probability density function estimation method is introduced to determine probability density functions of heat demand and electricity price for each time interval in the planning horizon. A neural network model is developed for this purpose to obtain the probabilistic data for effective representation of the random variables. In this study, thermal design optimization for cogeneration plants is also investigated with particular focus on the heat storage volume.
Mechanical engineering., Stochastic analysis.
http://etd.lib.metu.edu.tr/upload/2/12611698/index.pdf
https://hdl.handle.net/11511/19717
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

A visual interactive approach for scenario-based stochastic multi-objective problems and an application
Balibek, E.; Köksalan, Mustafa Murat (2012-12-01)
In many practical applications of stochastic programming, discretization of continuous random variables in the form of a scenario tree is required. In this paper, we deal with the randomness in scenario generation and present a visual interactive method for scenario-based stochastic multi-objective problems. The method relies on multi-variate statistical analysis of solutions obtained from a multi-objective stochastic problem to construct joint confidence regions for the objective function values. The decis...
A simulated annealing approach to bicriteria scheduling problems on a single machine
Karasakal, Esra (2000-08-01)
In this paper, we apply a simulated annealing approach to two bicriteria scheduling problems on a single machine. The first problem is the strongly NP-hard problem of minimizing total flowtime and maximum earliness. The second one is the NP-hard problem of minimizing total flowtime and number of tardy jobs. We experiment on different neighbourhood structures as well as other parameters of the simulated annealing approach to improve its performance. Our computational experiments show that the developed appro...
A two dimensional euler flow solver on adaptive cartesian grids
Siyahhan, Bercan; Aksel, Mehmet Haluk; Department of Mechanical Engineering (2008)
In the thesis work, a code to solve the two dimensional compressible Euler equations for external flows around arbitrary geometries have been developed. A Cartesianmesh generator is incorporated to the solver. Hence the pre-processing can be performed together with the solution within a single code. The code is written in the C++ programming language and its object oriented capabilities have been exploited to save memory in the data structure developed. The Cartesian mesh is formed by dividing squares succe...
A Branch and Bound Algorithm for a Multi-Mode Project Scheduling Problem With a Single Non-Renewable Resource
Altıntaş, Cansu; Azizoğlu, Meral (2020-04-01)
In this paper, a project scheduling problem with multi-modes and a single non-renewable resource is considered. The resource is released in pre-specified times at pre-specified quantities. An activity can be executed at different modes where a mode is defined by a processing time and a resource requirement amount. The objective is to minimize the project completion time. A branch and bound algorithm that enumerates the partial solutions based on the mode assignment decisions is presented. The results of the...
On efficient use of simulated annealing in complex structural optimization problems
Hasançebi, Oğuzhan (Springer Science and Business Media LLC, 2002-01-01)
The paper is concerned with the efficient use of simulated annealing (SA) in structural optimization problems of high complexity. A reformulation of the working mechanism of the Boltzmann parameter is introduced to accelerate and enhance the general productivity of SA in terms of convergence reliability. Two general and complementary parameters, referred as "weighted Boltzmann parameter" and "critical Boltzmann parameter," are proposed, Several alternative methodologies are suggested for these two parameter...
Citation Formats
O. T. Doğan, “A stochastic approach for load scheduling of cogeneration plants,” Ph.D. - Doctoral Program, Middle East Technical University, 2010.
METU IIS - Integrated Information Service open@metu.edu.tr