Optimization Analysis

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The Experts below are selected from a list of 501300 Experts worldwide ranked by ideXlab platform

Mehmet Sait Soylemez - One of the best experts on this subject based on the ideXlab platform.

  • optimum heat pump in drying systems with waste heat recovery
    Journal of Food Engineering, 2006
    Co-Authors: Mehmet Sait Soylemez
    Abstract:

    A thermo economic Optimization Analysis is presented yielding simple algebraic formula for estimating the optimum operating conditions of heat pump with auxiliary heating that are used in drying applications. A simple economic Analysis method is used in the present study, together with the thermal analyses of all system components, for thermo economic Analysis of the system.

  • on the optimum heat exchanger sizing for heat recovery
    Energy Conversion and Management, 2000
    Co-Authors: Mehmet Sait Soylemez
    Abstract:

    A thermoeconomic Optimization Analysis is presented yielding simple algebraic formulas for estimating the optimum heat exchanger area for energy recovery applications. The P1–P2 method is used in the present study, together with the well known Effectiveness–NTU method, for thermoeconomic analyses of three different unmixed type heat exchangers, i.e. countercurrent flow, parallel flow and single fluid or phase change.

Zhaohui Chen - One of the best experts on this subject based on the ideXlab platform.

  • thermodynamic exergoeconomic and multi objective Optimization Analysis of new orc and heat pump system for waste heat recovery in waste to energy combined heat and power plant
    Energy Conversion and Management, 2020
    Co-Authors: Mingzhang Pan, Yan Zhu, Guicong Huang, Jiwen Yin, Fuchuan Huang, Guisheng Chen, Zhaohui Chen
    Abstract:

    Abstract Waste-to-energy (WTE) technology is regarded as the most promising way to deal with municipal solid waste because it has the advantages of saving land area and reducing the emission of pollutants. However, the electrical efficiency of WTE combined heat and power plant is low. One factor that leads to such result is the large heat loss of the boiler exhaust gas. Besides, the amount of high-temperature steam used for power generation decreases because a part of high-temperature steam is used to provide district heating (DH), resulting in a low electricity output. In this study, a novel combined organic Rankine cycle (ORC) and heat pump cycle (ORC-HP) system is analyzed. The waste heat of the exhaust gas is recovered by the ORC and generates mechanical work to drive the HP system, which absorbs the waste heat of low-temperature and low-pressure vapor for the DH. Considering the environmental compatibility, different organic working fluids are compared to select a suitable working fluid for the combined system. Comprehensive thermodynamic and exergoeconomic analyses are performed to identify the effects of different parameters on combined system. And the economic benefits of the system are considered from the perspective of the investment payback period (PBP). Furthermore, based on sensitivity Analysis, multi-objective Optimization Analysis was applied in the combined system to determine the optimal working conditions. The results indicate that butane and ammonia are the most suitable working fluids. Sensitivity Analysis results show that for SIC, the evaporator pressure of ORC and the superheat degree of HP evaporator have a greater impact, and for ORC-HP system efficiency, the evaporator temperature of HP, the superheat of HP evaporator and ambient temperature have a greater impact. Optimization results show that, the optimal PBP and the specific investment cost (SIC) of the new combined system are 0.48 years and 325.94 $/GJ. After Optimization, SIC reduces from 333.15 $/GJ to 325.94 $/GJ, with a 2.2% reduction and the product unit cost of DH reduces to 33.97 $/GJ.

Mingzhang Pan - One of the best experts on this subject based on the ideXlab platform.

  • thermodynamic exergoeconomic and multi objective Optimization Analysis of new orc and heat pump system for waste heat recovery in waste to energy combined heat and power plant
    Energy Conversion and Management, 2020
    Co-Authors: Mingzhang Pan, Yan Zhu, Guicong Huang, Jiwen Yin, Fuchuan Huang, Guisheng Chen, Zhaohui Chen
    Abstract:

    Abstract Waste-to-energy (WTE) technology is regarded as the most promising way to deal with municipal solid waste because it has the advantages of saving land area and reducing the emission of pollutants. However, the electrical efficiency of WTE combined heat and power plant is low. One factor that leads to such result is the large heat loss of the boiler exhaust gas. Besides, the amount of high-temperature steam used for power generation decreases because a part of high-temperature steam is used to provide district heating (DH), resulting in a low electricity output. In this study, a novel combined organic Rankine cycle (ORC) and heat pump cycle (ORC-HP) system is analyzed. The waste heat of the exhaust gas is recovered by the ORC and generates mechanical work to drive the HP system, which absorbs the waste heat of low-temperature and low-pressure vapor for the DH. Considering the environmental compatibility, different organic working fluids are compared to select a suitable working fluid for the combined system. Comprehensive thermodynamic and exergoeconomic analyses are performed to identify the effects of different parameters on combined system. And the economic benefits of the system are considered from the perspective of the investment payback period (PBP). Furthermore, based on sensitivity Analysis, multi-objective Optimization Analysis was applied in the combined system to determine the optimal working conditions. The results indicate that butane and ammonia are the most suitable working fluids. Sensitivity Analysis results show that for SIC, the evaporator pressure of ORC and the superheat degree of HP evaporator have a greater impact, and for ORC-HP system efficiency, the evaporator temperature of HP, the superheat of HP evaporator and ambient temperature have a greater impact. Optimization results show that, the optimal PBP and the specific investment cost (SIC) of the new combined system are 0.48 years and 325.94 $/GJ. After Optimization, SIC reduces from 333.15 $/GJ to 325.94 $/GJ, with a 2.2% reduction and the product unit cost of DH reduces to 33.97 $/GJ.

Rouhollah Ahmadi - One of the best experts on this subject based on the ideXlab platform.

  • energetical exergetical and economical Optimization Analysis of combined power generation system of gas turbine and stirling engine
    Energy Conversion and Management, 2018
    Co-Authors: Ashka Entezari, Ali Manizadeh, Rouhollah Ahmadi
    Abstract:

    Abstract One of the promising methods to increase exergoeconomic performance and decrease effects of environmental adverse of energy systems is integration of energy systems. Gas turbine power plant is one of the favorable power generation systems because of its acceleration in start-up and low investment cost. However, the thermal efficiency of gas turbine cycle is low because of the significant heat loss due to high-temperature effluent gas exhausted from the stack. Therefore, if this huge heat loss is recovered by another heat engine coupled with gas turbine cycle the total efficiency will increase, considerably. Stirling engine owing to its high efficiency is one of the promising candidates which can be used as a part of the combined system. Hence, an Optimization Analysis on standalone gas turbine cycle, as well as combined cycle of gas turbine and Stirling engine are considered in this paper to find out the optimal operational point, thermodynamically and economically. Both single-objective and multi-objective genetic algorithm is performed to optimize the overall plant parameters, subjecting three Optimization scenarios of maximizing exegetic efficiency, minimizing levelized cost of electricity and exergo-economic Optimization. A comprehensive comparison of gas turbine and Stirling engine combined cycle and standalone gas turbine cycle was performed for these Optimization scenarios. Results show a significant improvement in power output and reduction of levelized cost of electricity in combined cycle of gas turbine and Stirling engine. In the optimal point of this hybrid system, levelized cost of electricity reduces by 10.3% and exergetic efficiency improves by 16.1% compared with the optimal point of standalone gas turbine cycle.

Sihli Che - One of the best experts on this subject based on the ideXlab platform.

  • Optimization Analysis of waste heat recovery district cooling system on a remote island case study green island
    Energy Conversion and Management, 2019
    Co-Authors: Chienyeh Hsu, Jyunde Liang, Chinghsie Lai, Sihli Che
    Abstract:

    Abstract The power supply of a remote island is mainly from the diesel generator due to nature and environmental constraints for developing renewable electrical power generation. Recovering waste heat from diesel generators can reduce cost and satisfy the concurrent need for electricity, district heating or cooling on a remote island. This study investigates the Optimization design of a district cooling system (DCS) on a remote island by the dynamic programming method. In a case study on Green Island, the waste heat from the diesel power plant can be recovered to drive an absorption chiller that satisfies the peak cooling load of 756 kW. The objective function of the Optimization design includes the capital cost and the running cost during the period of the life cycle. The dynamic programming method is adopted to minimize the objective function, and the constraint involves the conservation of energy between the chiller and the chilled water storage tank. The results showed that a 510 kW absorption chiller and a storage tank capacity of 1978 kW-h achieved the Optimization of the DCS. The averaged energy conservation rate was about 75.7%. Moreover, the electricity consumption and CO2 emission were reduced by 955.8 MWh and 675 tons per year, respectively. Based on the difference in the electricity prices of electric utility companies, the investment in the DCS is expected to have a four-year payback period. These Optimization results are based on an evaluation of energetic, economic and environmental effects, which are also suitable for any kind of regions without direct access to interconnected electrical networks.