Dynamic modeling and multivariable control of organic Rankine cycles in waste heat utilizing processes

Zhang, Jianhua; Zhang, Wenfang; Hou, Guolian; Fang, Fang

doi:10.1016/j.camwa.2012.01.054

Cited by 103 publications

(55 citation statements)

References 16 publications

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“…Desideri et al [74] compared the moving boundary and finite volume techniques in the design of heat exchangers for ORC applications. Zhang et al [75] studied a multi-variable control strategy for a 100-kW ORC system. Some works consider a "black box" analysis, in which the ORC system is studied at the process level.…”

Section: R 143amentioning

confidence: 99%

Small Scale Organic Rankine Cycle (ORC): A Techno-Economic Review

et al. 2017

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Abstract:The Organic Rankine Cycle (ORC) is widely considered as a promising technology to produce electrical power output from low-grade thermal sources. In the last decade, several power plants have been installed worldwide in the MW range. However, despite its market potential, the commercialization of ORC power plants in the kW range did not reach a high level of maturity, for several reasons. Firstly, the specific price is still too high to offer an attractive payback period, and secondly, potential costumers for small-scale ORCs are typically SMEs (Small-Medium Enterprises), generally less aware of the potential savings this technology could lead to. When it comes to small-scale plants, additional design issues arise that still limit the widespread availability of the technology. This review paper presents the state of the art of the technology, from a technical and economic perspective. Working fluid selection and expander design are illustrated in detail, as they represent the bottleneck of the ORC technology for small-scale power production. In addition, a European market analysis is presented, which constitutes a useful instrument to understand the future evolution of the technology.

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Section: R 143amentioning

confidence: 99%

Small Scale Organic Rankine Cycle (ORC): A Techno-Economic Review

et al. 2017

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“…Thus, the outlet mass flow is given by: (14) where n is the total number of inlet fluid streams andṁ k,in denotes the k-th inlet fluid mass flow.…”

Section: Mixing Junctionmentioning

confidence: 99%

“…For multiple-input multiple-output systems with constraints, a model predictive control (MPC) can be developed, which, to the authors knowledge, has not been used for automotive WHR applications. Predictive control has been applied only to power plants [13,14] and refrigeration systems [15]. The main difference is that power plants and refrigeration systems work at different time scales as compared to automotive WHR systems that are governed by highly dynamic engine behavior.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Control of a Parallel Waste Heat Recovery System for Euro-VI Heavy-Duty Diesel Engines

et al. 2014

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This paper presents the modeling and control of a waste heat recovery system for a Euro-VI heavy-duty truck engine. The considered waste heat recovery system consists of two parallel evaporators with expander and pumps mechanically coupled to the engine crankshaft. Compared to previous work, the waste heat recovery system modeling is improved by including evaporator models that combine the finite difference modeling approach with a moving boundary one. Over a specific cycle, the steady-state and dynamic temperature prediction accuracy improved on average by 2% and 7%. From a control design perspective, the objective is to maximize the waste heat recovery system output power. However, for safe system operation, the vapor state needs to be maintained before the expander under highly dynamic engine disturbances. To achieve this, a switching model predictive control strategy is developed. The proposed control strategy performance is demonstrated using the high-fidelity waste heat recovery system model subject to measured disturbances from an Euro-VI heavy-duty diesel engine. Simulations are performed using a cold-start World Harmonized Transient cycle that covers typical urban, rural and highway driving conditions. The model predictive control strategy provides 15% more time in vapor and recovered thermal energy than a classical proportional-integral (PI) control strategy. In the case that the model is accurately known, the proposed control strategy performance can be improved by 10% in terms of time in vapor and recovered thermal energy. This is demonstrated with an offline nonlinear model predictive control strategy.Energies 2014, 7 6572

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“…Modelling of the evaporator in the ORC WHR system has been addressed in several reports [2,[9][10][11][12][13][14][15][16][17]. Three common modelling techniques are normally used for the evaporator: single segment lump method, three zone method and distributed or finite volume (FV) method [11].…”

Section: Introductionmentioning

confidence: 99%

Modelling of Evaporator in Waste Heat Recovery System using Finite Volume Method and Fuzzy Technique

2015

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Abstract:The evaporator is an important component in the Organic Rankine Cycle (ORC)-based Waste Heat Recovery (WHR) system since the effective heat transfer of this device reflects on the efficiency of the system. When the WHR system operates under supercritical conditions, the heat transfer mechanism in the evaporator is unpredictable due to the change of thermo-physical properties of the fluid with temperature. Although the conventional finite volume model can successfully capture those changes in the evaporator of the WHR process, the computation time for this method is high. To reduce the computation time, this paper develops a new fuzzy based evaporator model and compares its performance with the finite volume method. The results show that the fuzzy technique can be applied to predict the output of the supercritical evaporator in the waste heat recovery system and can significantly reduce the required computation time. The proposed model, therefore, has the potential to be used in real time control applications.

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Dynamic modeling and multivariable control of organic Rankine cycles in waste heat utilizing processes

Cited by 103 publications

References 16 publications

Small Scale Organic Rankine Cycle (ORC): A Techno-Economic Review

Small Scale Organic Rankine Cycle (ORC): A Techno-Economic Review

Modeling and Control of a Parallel Waste Heat Recovery System for Euro-VI Heavy-Duty Diesel Engines

Modelling of Evaporator in Waste Heat Recovery System using Finite Volume Method and Fuzzy Technique

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