Effect of Steam Injected Gas Turbines on the Unit Sizing of a Cogeneration Plant

Author(s):  
Koichi Ito ◽  
Ryohei Yokoyama ◽  
Yoshikazu Matsumoto

The effect of installing steam injected gas turbines in a cogeneration plant is analyzed in the aspects of unit sizing and operational planning. An optimization method is used to determine the capacities of gas turbines and other auxiliary machinery in consideration of their operational strategies for variations of electricity and thermal energy demands. Through a numerical study on a plant for district hearing and cooling, it is clarified how the installation of steam injected gas turbines in place of simple cycle ones can improve the economic and energy saving properties. The influence of capital cost of steam injected gas turbines on the unit sizing and the above properties is also clarified.

1997 ◽  
Vol 119 (1) ◽  
pp. 131-136 ◽  
Author(s):  
K. Ito ◽  
R. Yokoyama ◽  
Y. Matsumoto

The effect of installing steam-injected gas turbines in a cogeneration plant is analyzed with respect to unit sizing and operational planning. An optimization method is used to determine the capacities of gas turbines and other auxiliary machinery in consideration of their operational strategies for variations of electricity and thermal energy demands. Through a numerical study on a plant for district heating and cooling, it is clarified how the installation of steam-injected gas turbines in place of simple-cycle ones can improve the economic and energy-saving properties. The influence of the capital cost of steam-injected gas turbines on the unit sizing and the above-mentioned properties is also clarified.


Author(s):  
Ryohei Yokoyama ◽  
Masashi Ohkura ◽  
Tetsuya Wakui

Some optimal operation methods based on the mixed-integer linear programming (MILP) have been proposed to operate energy supply plants properly from the viewpoints of economics, energy saving, and CO2 emission reduction. However, most of the methods are effective only under certain energy demands. In operating an energy supply plant actually, it is necessary to determine the operational strategy properly based on predicted energy demands. In this case, realized energy demands may differ from the predicted ones. Therefore, it is necessary to determine the operational strategy so that it is robust against the uncertainty in energy demands. In this paper, an optimization method based on the MILP is proposed to conduct the robust optimal operation of energy supply plants under uncertain energy demands. The uncertainty in energy demands is expressed by their intervals. The operational strategy is determined to minimize the maximum regret in the operational cost under the uncertainty. In addition, a hierarchical relationship among operation modes and on/off states of equipment, energy demands, and energy flow rates of equipment is taken into account. First, a general formulation of a robust optimal operation problem is presented, which is followed by a general solution procedure. Then, in a numerical study, the proposed method is applied to a gas turbine cogeneration plant for district energy supply. Through the study, some features of the robust optimal operation are clarified, and the validity and effectiveness of the proposed method are ascertained.


1997 ◽  
Vol 119 (4) ◽  
pp. 903-909 ◽  
Author(s):  
K. Ito ◽  
R. Yokoyama ◽  
M. Shimoda

This paper is concerned with the evaluation of economic and energy-saving characteristics of a super waste incineration cogeneration plant, which is equipped with gas turbines as topping cycle to overcome the drawback of low power generating efficiency of conventional waste incineration cogeneration plants only with steam turbines. Economic and energy-saving characteristics are evaluated using an optimal planning method, which determines capacities and operational strategies of constituent equipment from their many alternatives so as to minimize the annual total cost. Through a case study, advantages of a super waste incineration cogeneration plant are shown in comparison with a conventional one. A parametric study is also carried out with respect to the amounts of waste collected and energy distributed.


Author(s):  
Koichi Ito ◽  
Ryohei Yokoyama ◽  
Makoto Shimoda

This paper, is concerned with the evaluation of economic and energy saving characteristics of a super waste incineration cogeneration plant, which is equipped with gas turbines as topping cycle to overcome a drawback of low power generating efficiency of conventional waste incineration cogeneration plants only with steam turbines. Economic and energy saving characteristics are evaluated using an optimal planning method which determines capacities and operational strategies of constituent equipment from their many alternatives so as to minimize the annual total cost. Through a case study, advantages of a super waste incineration cogeneration plant are shown in comparison with a conventional one. A parametric study is also carried out with respect to the amounts of waste collected and energy distributed.


Author(s):  
Ryohei Yokoyama

It has become important for operators to determine operational strategies of energy supply plants appropriately corresponding to energy demands varying with season and time from the viewpoints of economics, energy saving, and reduction in CO2 emission. Especially, cogeneration plants produce heat and power simultaneously, which increases alternatives for operational strategies. This makes it more important for operators to determine operational strategies of cogeneration plants appropriately. In this paper, for the purpose of assisting operators or operating plants automatically, an optimal operational planning method based on the mixed-integer linear programming is developed to determine the operational strategy of equipment so as to minimize the operational cost, in consideration of equipment minimum up and down times for each piece of equipment to be operated with appropriate numbers of startups and shutdowns. In the numerical study, the proposed method is applied to the daily operational planning of a gas turbine cogeneration plant for district energy supply. It is clarified how the constraints for minimum up and down times affect the operational strategy and cost. Through the study, the validity and effectiveness of the proposed method is ascertained.


Author(s):  
Ryohei Yokoyama

It has become important for operators to determine operational strategies of energy supply plants appropriately corresponding to energy demands varying with season and time from the viewpoints of economics, energy saving, and recently reduction in CO2 emission. Especially, cogeneration plants produce heat and power simultaneously, which increases alternatives for operational strategies. This makes it more important for operators to determine operational strategies of cogeneration plants appropriately. In this paper, for the purpose of assisting operators or operating plants automatically, an optimal operational planning method based on the mixed-integer linear programming is developed to determine the operational strategy of equipment so as to minimize the operational cost, in consideration of equipment minimum up and down times for each piece of equipment to be operated with appropriate numbers of startups and shutdowns. In the numerical study, the proposed method is applied to the daily operational planning of a gas turbine cogeneration plant for district energy supply. It is clarified how the constraints for minimum up and down times affect the operational strategy and cost. Through the study, the validity and effectiveness of the proposed method is ascertained.


Author(s):  
Ryohei Yokoyama ◽  
Koichi Ito

A multiobjective robust optimal design method based on the minimax regret criterion is proposed for sizing equipment of energy supply plants so that they are robust in economic and energy saving characteristics under uncertain energy demands. Equipment capacities and utility contract demands as well as energy flow rates are determined to minimize a weighted sum of the maximum regrets in the annual total cost and primary energy consumption, and satisfy all the possible energy demands. This optimization problem is formulated as a kind of multilevel linear programming one, and its solution is derived by repeatedly evaluating lower and upper bounds for the optimal value of the weighted sum of the maximum regrets. Through a case study on a gas turbine cogeneration plant for district energy supply, the trade-off relationship between the robustness in economic and energy saving characteristics is clarified.


Author(s):  
Mihai Borzea ◽  
Gheorghe Fetea ◽  
Radu Codoban

As part of Europe, Romania now faces increasing natural gas prices, growing dependence on fuel imports and the threat of global warming. One of the modern and long-term solutions, efficient and environmentally friendly to such issues is cogeneration of both electricity and useful heat. The paper deals with the implementation of an experimental cogeneration plant for combined electrical and thermal energy production, necessary for extracting heavy oil. Located in North West of Romania, at Suplacu de Barcau, the cogeneration plant was built with the aim of studying its efficiency in growing oil production with lower costs for the electrical and thermal energy used in oil field. The cogeneration plant was designed to meet the parameters of superheated steam injected in heavy oil field at 19 bars and 300°C, assuming lower costs than market prices. The cogeneration plant consists in two identical cogenerative lines; each line consisting of an electrical turbogenerator powered by one aero derivative ST18 Pratt&Whitney turbine engine, a Heat Recovery Steam Generator (HRSG) with afterburner and linked installations. The cogeneration plant is automatically operated using Programmable Logic Controllers – PLC, which provide 3 operating conditions: combined electrical and thermal energy production, electrical energy only and steam only. Design, installation and commissioning in 2004 were realized by National Research and Development Institute for Gas Turbines – INCDT COMOTI, providing 32,000 hours between overhauls. Operated over 55,000 hours, the 2 lines of cogeneration plant fulfil an efficiency of 85%. Experimental data of 3 years of cogeneration plant operation is also present in the paper.


Author(s):  
Ryohei Yokoyama

To attain the highest economic and energy saving characteristics of gas turbine cogeneration plants, it is necessary to rationally determine capacities and numbers of gas turbines and auxiliary equipment in consideration of their operational strategies corresponding to seasonal and hourly variations in energy demands. Some optimization approaches based on the mixed-integer linear programming (MILP) have been proposed to such configuration design problems of energy supply plants. However, with increases in the numbers of the equipment which must be considered as candidates as well as the periods which must be set for variations in energy demands, the optimal configuration design problems become too large-scale and complex to solve. The author has proposed a MILP decomposition approach to obtain quasi-optimal solutions of the optimal configuration design problems in reasonable computation times. However, this approach has been limited to the optimal configuration design problems where equipment capacities are treated continuously. In this paper, the MILP decomposition approach is extended to the optimal configuration design problems where equipment capacities are treated discretely. The effectiveness of this extended approach is investigated through a numerical study on a gas turbine cogeneration plant.


Author(s):  
Ryohei Yokoyama ◽  
Koichi Ito

A rational method of determining the operational strategy of energy supply plants in consideration of equipment startup/shutdown cost is proposed. The operational planning problem is formulated as a large-scale mixed-integer linear programming one, in which on/off status and energy flow rates of equipment are determined so as to minimize the sum of energy supply and startup/shutdown costs over the period considered. By utilizing a special structure of the problem, an algorithm of solving the problem efficiently is proposed. Through a numerical study on the daily operational planning of a gas turbine cogeneration plant for district heating and cooling, the effectiveness of the proposed algorithm is ascertained in terms of computation time, and the influence of equipment startup/shutdown cost on the operational strategy and cost is clarified.


Sign in / Sign up

Export Citation Format

Share Document