Techno-Economic Evaluation of a Tri-Generation Energy Supply System for a Non-Interconnected Island Using Single-Shaft Gas-Turbine

2010 ◽  
Author(s):  
A. L. Polyzakis ◽  
A. K. Malkogianni
Keyword(s):  
Gas Turbine ◽  
Energy Supply ◽  
Net Present Value ◽  
Cooling System ◽  
Evaluation Methodology ◽  
Prime Mover ◽  
Energy Supply System ◽  
Fuel Prices ◽  
Energy Demands ◽  
Absorption Cooling System

In this paper, is presented a realistic simulation of the techno-economic performance of a tri-generation power plant, helping the potential investor to evaluate the profits of his future investment. The paper includes an overall techno-economic analysis including the following steps: Firstly, the research concerns the energy demands of an energy autonomous island. The second part, deals with the prime mover (namely the Gas Turbine, GT) modeling and simulation. The technical part of the assessment includes the Design Point (DP) and Off-Design (OD) analysis of the GT. The third part includes the simulation of the absorption cooling system alone and/or in cooperation with the prime mover. Finally, an evaluation methodology of tri-generation plants is introduced taking into account, both technical facts and economic data helping the potential users to decide whether it is profitable to use such technology or not. The economic scene will include the basic economic facts such as initial cost, handling and operational cost (fuel prices, maintenance etc), using methodology based on Net Present Value (NPV). The results are valuated using suitable sensitivity analysis. The results of the analysis generally shown, that the tri-generation plant is more profitable than the conventional way of energy supply.

Performance Simulation and Economic Evaluation of Tri-Generation Plant, Based on a Single Shaft Gas Turbine

2009 ◽  
Author(s):  
A. L. Polyzakis ◽  
A. K. Malkogianni ◽  
A. Stamatis ◽  
D. Papadopoulos
Keyword(s):  
Cooling System ◽  
Evaluation Methodology ◽  
Prime Mover ◽  
Actual Case ◽  
Performance Simulation ◽  
Fuel Prices ◽  
Energy Demands ◽  
Generation Plant ◽  
Absorption Cooling ◽  
Absorption Cooling System

This paper provides an intergraded realistic tool, which simulates the future operation (technical and economic) of a tri-generation plant, capable of helping the potential investor decide if it is profitable to proceed with the investment. The paper is based on an overall technical-economic analysis of the tri-generation system, including the following steps: Firstly, the data research concerning the energy demands of an actual case. The second part deals with the prime mover (namely the GT) modelling and simulation, including the Design Point (DP) and Off-Design (OD) performance analysis of the GT. The third part includes the simulation of the absorption cooling system alone and/or in co-operation with the prime mover. Finally, an evaluation methodology of tri-generation plants is introduced taking into account both technical facts and realistic economic data helping the potential users to decide whether it is profitable to use such technology or not. The economic scene will include the basic economic facts such as initial cost, handling and operational cost (fuel prices, maintenance etc), using methodology based on NPV. The results are valuated using suitable sensitivity analysis. The results of the analysis generally shown, that the tri-generation plant is more profitable than the conventional way of energy production.

Robust Optimal Design of a Gas Turbine Cogeneration Plant Under Uncertain Energy Demands and Costs

2015 ◽  
Author(s):  
Ryohei Yokoyama ◽  
Masashi Ohkura ◽  
Tetsuya Wakui
Keyword(s):  
Optimal Design ◽  
Gas Turbine ◽  
Energy Supply ◽  
Design Method ◽  
Performance Comparison ◽  
Energy Demands ◽  
Robust Optimal Design ◽  
Optimal Design Method ◽  
Supply Systems ◽  
Energy Supply Systems

In designing energy supply systems, designers should consider that energy demands and costs as parameters have some uncertainties, evaluate the robustness in system performances against the uncertainties, and design the systems rationally to heighten the robustness. A robust optimal design method of energy supply systems under only uncertain energy demands was revised so that it can be applied to systems with complex configurations and large numbers of periods for variations in energy demands. In addition, a method of comparing performances of two energy supply systems under only uncertain energy demands was proposed by utilizing a part of the revised robust optimal design method. In this paper, the revised robust optimal design method as well as the proposed performance comparison method are extended so that they can be applied to the robust optimal design and the performance comparison of energy supply systems under not only uncertain energy demands but also uncertain energy costs. Through a case study on a gas turbine cogeneration system for district energy supply, the validity and effectiveness of the extended optimal design method and features of the robust optimal design are clarified. In addition, the gas turbine cogeneration system is compared with a conventional energy supply system using the extended performance comparison method.

Multiobjective Robust Optimal Design of a Gas Turbine Cogeneration Plant Under Uncertain Energy Demands

2001 ◽  
Author(s):  
Ryohei Yokoyama ◽  
Koichi Ito
Keyword(s):  
Optimal Design ◽  
Energy Saving ◽  
Gas Turbine ◽  
Energy Supply ◽  
Design Method ◽  
Primary Energy ◽  
Weighted Sum ◽  
Cogeneration Plant ◽  
Energy Demands ◽  
Robust Optimal Design

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.

Energy-Saving Evaluation of SOFC Cogeneration Systems With Solar Cell and Battery

2014 ◽  
Vol 11 (6) ◽  
Author(s):  
Akira Yoshida ◽  
Koichi Ito ◽  
Yoshiharu Amano
Keyword(s):  
Solar Cell ◽  
Energy Saving ◽  
Energy Supply ◽  
Energy Savings ◽  
Optimization Theory ◽  
Maximum Energy ◽  
Planning Problem ◽  
Energy Supply System ◽  
Energy Demands ◽  
Cogeneration System

The purpose of this study is to evaluate the maximum energy-saving potential of residential energy supply systems consisting of a solid oxide fuel cell (SOFC) cogeneration system (CGS) combined with a solar cell (SC) and a battery (BT), compared with a reference system (RS). This study applies an optimization theory into an operational planning problem to measure actual energy demands over the course of 1 year. Eight different types of energy supply system were compared with each other by changing the components of the SOFC-CGS, SC, BT, and RS. Meaningful numerical results are obtained, indicating the maximum potential energy savings.

Robust Optimal Operation of a Gas Turbine Cogeneration Plant Under Uncertain Energy Demands

2014 ◽  
Vol 137 (2) ◽  
Author(s):  
Ryohei Yokoyama ◽  
Masashi Ohkura ◽  
Tetsuya Wakui
Keyword(s):  
Gas Turbine ◽  
Energy Supply ◽  
Numerical Study ◽  
Optimization Method ◽  
Optimal Operation ◽  
Mixed Integer ◽  
Cogeneration Plant ◽  
Co2 Emission Reduction ◽  
Operational Strategy ◽  
Energy Demands

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.

413 Optimal Operation of an Energy Supply System Based on Prediction of Energy Demands

2006 ◽  
Vol 2006.16 (0) ◽  
pp. 344-347
Author(s):  
Ryohei Yokoyama ◽  
Kenichi Shimizu ◽  
Tetsuya Wakui ◽  
Koichi Ito ◽  
Kazuyuki Kamimura ◽  
...  
Keyword(s):  
Energy Supply ◽  
Optimal Operation ◽  
Supply System ◽  
Energy Supply System ◽  
Energy Demands

Robust Optimal Design in Multistage Expansion of a Gas Turbine Cogeneration Plant Under Uncertain Energy Demands

2003 ◽  
Author(s):  
Ryohei Yokoyama ◽  
Koichi Ito ◽  
Tatsuhiro Murata
Keyword(s):  
Optimal Design ◽  
Gas Turbine ◽  
Energy Supply ◽  
Design Method ◽  
Design Stage ◽  
Cogeneration Plant ◽  
District Energy ◽  
Expansion Planning ◽  
Energy Demands ◽  
Robust Optimal Design

In designing cogeneration plants, the estimation of energy demands is an important work. However, many conditions under which energy demands are estimated have some uncertainty at the design stage. Therefore, designers should consider that energy demands have some uncertainty, evaluate the robustness in the performance under uncertain energy demands, and design plants rationally in consideration of the robustness. The authors have developed a robust optimal design method based on the minimax regret criterion for the single-stage planning of energy supply plants. In this paper, the method is extended for the multistage expansion planning. Under uncertain energy demands increasing stepwise, equipment capacities and utility contract demands as well as energy flow rates for each expansion period are determined in consideration of their sequential relationships to minimize the maximum regret in the annual total cost and satisfy all the possible energy demands for all the expansion periods. Through a case study on a gas turbine cogeneration plant for district energy supply, features of the economic robustness and the robust optimal design are clarified in relation to the uncertainty in energy demands and the numbers of years for the expansion periods.

Robust Optimal Design in Multistage Expansion of a Gas Turbine Cogeneration Plant Under Uncertain Energy Demands

2004 ◽  
Vol 126 (4) ◽  
pp. 823-830 ◽  
Author(s):  
Ryohei Yokoyama ◽  
Koichi Ito ◽  
Tatsuhiro Murata
Keyword(s):  
Optimal Design ◽  
Gas Turbine ◽  
Energy Supply ◽  
Design Method ◽  
Design Stage ◽  
Cogeneration Plant ◽  
District Energy ◽  
Expansion Planning ◽  
Energy Demands ◽  
Robust Optimal Design

In designing cogeneration plants, the estimation of energy demands is an important work. However, many conditions under which energy demands are estimated have some uncertainty at the design stage. Therefore, designers should consider that energy demands have some uncertainty, evaluate the robustness in the performance under uncertain energy demands, and design plants rationally in consideration of the robustness. The authors have developed a robust optimal design method based on the minimax regret criterion for the single-stage planning of energy supply plants. In this paper, the method is extended for the multistage expansion planning. Under uncertain energy demands increasing stepwise, equipment capacities and utility contract demands as well as energy flow rates for each expansion period are determined in consideration of their sequential relationships to minimize the maximum regret in the annual total cost and satisfy all the possible energy demands for all the expansion periods. Through a case study on a gas turbine cogeneration plant for district energy supply, features of the economic robustness and the robust optimal design are clarified in relation to the uncertainty in energy demands and the numbers of years for the expansion periods.

Sign in / Sign up

Export Citation Format

Share Document