Design and experimental validation of an adaptive control law to maximize the power generation of a small-scale waste heat recovery system

Hernández, Andrés; Desideri, Adriano; Gusev, Sergei; Ionescu, Clara-Mihaela; Broek, Martijn van den; Quoilin, Sylvain; Lemort, Vincent; Keyser, Robin De

doi:10.1016/j.apenergy.2017.06.069

Cited by 31 publications

(12 citation statements)

References 34 publications

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“…After identifying the main losses (i.e., leakage losses, mechanical losses and the supply pressure drop) that affect the expander performance, Lemort et al [47] proposed a semi-empirical model of an open-drive oil-free scroll expander using R123. Desideri et al [48] developed physics-based dynamic modelling tools in Dymola, which has been verified against steady-state and transient experimental results from an 11-kWe stationary ORC engine, providing convenience for transient performance examination and control strategy development as reported in Reference [49] for comparison of adaptive model predictive control and gain-scheduled switching proportional-integral-derivative (PID) controller. Landelle et al [16] developed semi-empirical models of ORC diaphragm pumps considering energetic performance, volumetric efficiency and cavitation limits.…”

Section: Introductionmentioning

confidence: 99%

Operational Optimisation of a Non-Recuperative 1-kWe Organic Rankine Cycle Engine Prototype

Unamba

Sapin

et al. 2019

Applied Sciences

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Several heat-to-power conversion technologies are being proposed as suitable for waste-heat recovery (WHR) applications, including thermoelectric generators, hot-air (e.g., Ericsson or Stirling) engines and vapour-cycle engines such as steam or organic Rankine cycle (ORC) power systems. The latter technology has demonstrated the highest efficiencies at small and intermediate scales and low to medium heat-source temperatures and is considered a suitable option for WHR in relevant applications. However, ORC systems experience variations in performance at part-load or off-design conditions, which need to be predicted accurately by empirical or physics-based models if one is to assess accurately the techno-economic potential of such ORC-WHR solutions. This paper presents results from an experimental investigation of the part-load performance of a 1-kWe ORC engine, operated with R245fa as a working fluid, with the aim of producing high-fidelity steady-state and transient data relating to the operational performance of this system. The experimental apparatus is composed of a rotary-vane pump, brazed-plate evaporator and condenser units and a scroll expander magnetically coupled to a generator with an adjustable resistive load. An electric heater is used to provide a hot oil-stream to the evaporator, supplied at three different temperatures in the current study: 100, 120 and 140 ∘ C. The optimal operating conditions, that is, pump speed and expander load, are determined at various heat-source conditions, thus resulting in a total of 124 steady-state data points used to analyse the part-load performance of the engine. A maximum thermal efficiency of 4.2 ± 0.1% is reported for a heat-source temperature of 120 ∘ C, while a maximum net power output of 508 ± 2 W is obtained for a heat-source temperature at 140 ∘ C. For a 100- ∘ C heat source, a maximum exergy efficiency of 18.7 ± 0.3% is achieved. A detailed exergy analysis allows us to quantify the contribution of each component to the overall exergy destruction. The share of the evaporator, condenser and expander components are all significant for the three heat-source conditions, while the exergy destroyed in the pump is negligible by comparison (below 4%). The data can be used for the development and validation of advanced models capable of steady-state part-load and off-design performance predictions, as well as predictions of the transient/dynamic operation of ORC systems.

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Section: Introductionmentioning

confidence: 99%

Operational Optimisation of a Non-Recuperative 1-kWe Organic Rankine Cycle Engine Prototype

Unamba

Sapin

et al. 2019

Applied Sciences

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“…A trend on the use of model-based strategies is encountered, including predictive algorithms to better anticipate wasteheat source variations and to optimise the power production during operation while respecting system constraints [38,39]. Model predictive control (MPC) is a mature technology and has become the standard approach for implementing constrained, multivariable control strategies in the process industries today [40,41].…”

Section: Introductionmentioning

confidence: 99%

Experimental validation of a multiple model predictive control for waste heat recovery organic Rankine cycle systems

Hernández

Ruiz

Gusev

et al. 2021

Applied Thermal Engineering

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“…Thermal systems have many areas of implementation such as heat exchangers (Vasičkaninová and Bakošová, 2016;Vasičkaninová and M. Bakošová, 2012;Bakošová and J. Oravec, 2014), air conditioning (Khayyam, 2013), waste recovery (Peralez et al, 2012;Hernandez et al, 2017), power systems (Powell et al, 2017), automotive (Sharif et al, 2016), modeling (Gabano and Poinot, 2011) etc. and therefore, their control is an important issue (Jaluria, 2007).…”

Section: Introductionmentioning

confidence: 99%

Termal Sistemler için Oransal-Integral Denetleyici Tasarımı

Senol¹,

Demiroğlu²

2020

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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This study proposes to tune proportional integral (PI) controllers for the stability and performance of thermal processes described by first order plus time delay (FOPTD) and second order plus time delay (SOPTD) plants. In addition to stability, parameters of the controllers are tuned to meet the desired gain crossover frequency and phase margin for each system. Design schemes of the controllers are clearly given and the results are applied on some plants provided from the literature. Illustrative examples are given to prove the method.

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Design and experimental validation of an adaptive control law to maximize the power generation of a small-scale waste heat recovery system

Cited by 31 publications

References 34 publications

Operational Optimisation of a Non-Recuperative 1-kWe Organic Rankine Cycle Engine Prototype

Operational Optimisation of a Non-Recuperative 1-kWe Organic Rankine Cycle Engine Prototype

Experimental validation of a multiple model predictive control for waste heat recovery organic Rankine cycle systems

Termal Sistemler için Oransal-Integral Denetleyici Tasarımı

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