Dynamic modelling of ORC-based solar thermal power plant integrated with multitube shell and tube latent heat thermal storage system

Lakhani, Sagar; Raul, Appasaheb; Saha, Sandip K.

doi:10.1016/j.applthermaleng.2017.05.115

Cited by 52 publications

(15 citation statements)

References 28 publications

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“…In most of the circumstances,the heatsource cooling efficiency was lowdue to the constraint in heat-source outlet temperature. S. Lakhani, et al, [20] developed an integrated model as multitube shell and tubeLatent Heat Thermal Energy Storage System (LHTE). The developed method found that LHTE with lower overall diameter and longer length delivered better performance in solar thermal power plant compared to the storage system with larger diameter and shorter length.…”

Section: Literature Reviewmentioning

confidence: 99%

“…(17) (18) In the time interval , equation 18is rewritten as equation (19). (19) Then, from the equations (17) and (19), the position of the molecule is calculated as given in equations (20) and (21) The conventional KGMO algorithm includes a few drawbacks like easily sticks in the local optima and accuracy of solution is lower, when applied to high dimensional and complex objective functions. To address this problem, a new feedback learning phase is included in the conventional KGMO algorithm.…”

Section: Multi-objective Optimization Using Modified Kgmo Algorithmmentioning

confidence: 99%

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Optimum Design of Shell and Tube Heat Exchangers using Modified Kinetic Gas Molecule Optimizer for the use of Low Temperature in Organic Rankine Cycles

Reddy,

Reddy

2020

IJEAT

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Shell and Tube Heat Exchangers (STHEs) plays a crucial role in an effective design of Organic Rankine Cycle (ORC) power plants.The main aim of this research work is to design a cost-effective ORC in order to exploit low to medium temperature geothermal fluid or low grade industrial waste heat. In this research work, modified Kinetic Gas Molecule Optimization (KGMO) algorithm was developed forfinding the optimized parameter settings of the power plant. In modified KGMO algorithm, feedback learning stage was included for improving the fitness of individual worst particles. In addition, the proposed optimization algorithm was tested on two dissimilar fluids such asR245fa and R134a in order to show the effectiveness of proposed scheme. The experimental investigation showed that the proposed scheme effectively improved the heat exchanger performance as related to the existing schemes.The enhancement factor of proposed scheme was 2.8063 for R245fa fluid and 1.9346 for R134a fluid, which was better compared to the existing schemes; KGMO and Bell-Delaware method.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Multi-objective Optimization Using Modified Kgmo Algorithmmentioning

confidence: 99%

Optimum Design of Shell and Tube Heat Exchangers using Modified Kinetic Gas Molecule Optimizer for the use of Low Temperature in Organic Rankine Cycles

Reddy,

Reddy

2020

IJEAT

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“…Dynamic models have also been developed to capture the transient characteristics of ORC systems and heat exchangers during their operation under variable heat-source conditions [42]. Horst et al…”

Section: Introductionmentioning

confidence: 99%

Organic Rankine cycle systems for engine waste-heat recovery: Heat exchanger design in space-constrained applications

Song

et al. 2019

Energy Conversion and Management

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Organic Rankine cycle (ORC) systems are a promising solution for improving internal combustion engine efficiencies, however, conflicts between the pressure drops in the heat exchangers, overall thermodynamic performance and economic viability are acute in this space-constrained application. This paper focuses on the interaction of the heat exchanger pressure drop (HEPD) and the thermo-economic performance of ORC systems in engine waste-heat recovery applications. An iterative procedure is included in the thermo-economic analysis of such systems that quantifies the HEPD in each case, and uses this information to revise the cycle and to resize the components until convergence. The newly proposed approach is compared with conventional methods in which the heat exchangers are sized after thermodynamic cycle modelling and the pressure drops through them are ignored, in order to understand and quantify the effects of the HEPD on ORC system design and working fluid selection. Results demonstrate that neglecting the HEPD leads to significant overestimations of both the thermodynamic and the economic performance of ORC systems, which for some indicators can be as high as >80% in some cases, and that this can be effectively avoided with the improved approach that accounts for the HEPD. In such space-limited applications, the heat exchangers can be designed with a smaller cross-section in order to achieve a better compromise between packaging volume, heat transfer and ORC net power output. Furthermore, we identify differences in working fluid selection that arise from the fact that different working fluids give rise to different levels of HEPD. The optimized thermo-economic approach proposed here improves the accuracy and reliability of conventional early-stage engineering design and assessments, which can be extended to other similar thermal systems (i.e., CO2 cycle, Brayton cycle, etc.) that involve heat exchangers integration in similar applications.

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“…The results showed that the energy stored and extraction are faster for a smaller capsule diameter and higher porosity. Lakhani et al [7] considered a multitube shell and tube latent heat thermal storage system, and found that the LHTES system with a lower overall diameter and longer length provides better overall performance for a solar thermal power plant. Corgnale et al [8] studied solar power plants from the aspect of thermal energy storage systems and found that the selected storage systems with metal hydride high-temperature materials can achieve and exceed the requirements, such as volumetric energy density (25 kWhth/m 3 ) and operating temperature (600 • C).…”

Section: Introductionmentioning

confidence: 99%

Optimization of Dispatching Electricity Market with Consideration of a Solar-Assisted Coal-Fired Power Generation System

Zhai

Feng

et al. 2019

Energies

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This study investigates the multi-objective optimization of load dispatch of a solar-assisted coal-fired power generation system. The improved environmental/economic load dispatch model considers coal consumption, NO x emissions, and power purchase cost. The singular weighted method is utilized to solve this multi-objective and multi-constraint optimization problem. A power system that includes five power generators, one of which is retrofitted to a solar-assisted coal-fired unit, is also analyzed. It can be concluded that the loads of solar-assisted coal-fired units are higher than the original coal-fired unit, and with the increase of solar radiation, the gap between the loads of two units also increases. In addition, after retrofitting, the coal consumption, the NO x emission, and power costs of units reduce by about 2.05%, 0.45%, and 0.14%, respectively. From the study on the on-grid power tariff, where the tariff drops from 16.29 cents/kWh to 3.26 cents/kWh, NO x emissions drop from 12.31 t to 11.28 t per day, a reduction of about 8.38%. The cost of purchasing electricity decreases from $ 2,982,161.8 to $ 2,020,505.0 per day, a decrease of 32.25%. Therefore, when both coal-fired units and solar-assisted coal-fired units exist in a region, the use of solar-assisted coal-fired power generation units should be prioritized.Energies 2019, 12, 1284 2 of 16 157(2) When the temperature of the feed water out of the oil-water heat exchanger is lower than 158 that of the original second heater but higher than that of the original third heater. The feed water 159 enters the second heater. This mode is shown in (b) position. 160(3) When the temperature of feed water out of the oil-water heat exchanger is lower than that of 161 the original first heater but higher than that of the original second heater. The feed water enters the 162 first heater. This mode is shown in (c) position. 163(4) When the temperature of feed water out of the oil-water heat exchanger is higher than that 164 of the original first heater. The feed water enters the boiler. This mode is shown in (d) position.165 3. Methodology 166Under certain constraints, multi-objective optimization aims to have more than one goal to 167 achieve an optimal solution. One of the easiest ways to obtain the optimal solution is called standard 168 quantization or the singular weighted method. A weight is assigned to each target. All the targets 169 with their own weights are positioned together, and then the problem is solved under the same 170 constraints of the original problem. The obtained solution is a solution to the original problem (called 171 the Pareto solution). The weight arrangement is constantly changed; hence, different optimal

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Dynamic modelling of ORC-based solar thermal power plant integrated with multitube shell and tube latent heat thermal storage system

Cited by 52 publications

References 28 publications

Optimum Design of Shell and Tube Heat Exchangers using Modified Kinetic Gas Molecule Optimizer for the use of Low Temperature in Organic Rankine Cycles

Optimum Design of Shell and Tube Heat Exchangers using Modified Kinetic Gas Molecule Optimizer for the use of Low Temperature in Organic Rankine Cycles

Organic Rankine cycle systems for engine waste-heat recovery: Heat exchanger design in space-constrained applications

Optimization of Dispatching Electricity Market with Consideration of a Solar-Assisted Coal-Fired Power Generation System

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