Axial turbo-expander design for organic Rankine cycle waste-heat recovery with comparative heavy-duty diesel engine drive-cycle performance assessment

Despite the high thermal efficiency achieved by modern heavy-duty diesel engines, over 40% of the energy contained in the fuel is wasted as heat either in the cooling or the exhaust gases. By recovering part of the wasted energy, the overall thermal efficiency of the engine increases and the pollutant emissions are reduced. Organic Rankine cycle (ORC) systems are considered a favourable candidate technology to recover exhaust gas waste heat, because of their simplicity and small backpressure impact on the engine performance and fuel consumption. The recovered energy can be transformed into electricity or directly into mechanical power. In this study, an axial turbine expander for an ORC system was designed and optimized for a heavy-duty diesel engine for which real-world data were available. The impact of the ORC system on the fuel consumption under various operating points was investigated. Compared to an ORC system equipped with a radial turbine expander, the axial design improved fuel consumption by between 2 and 10% at low and high engine speeds. Finally, the benefits of utilising ORC systems for waste heat recovery in heavy-duty trucks is evaluated by performing various drive cycle tests, and it is found that the highest values of fuel consumption were found in the NEDC and the HDUDDS as these cycles generally involve more dynamic driving profiles. However, it was in these cycles that the ORC could recover more energy with an overall fuel consumption reduction of 5 and 4.8%, respectively

Axial Turbo-Expander Design for Organic Rankine Cycle Waste-Heat Recovery With Comparative Heavy-Duty Diesel Engine Drive-Cycle Performance Assessment

Data Availability Statement: The datasets presented in this article are not readily available because of commercial reasons. Requests to access the datasets should be directed to Brunel University [email protected] the high thermal efficiency achieved by modern heavy-duty diesel engines, over 40% of the energy contained in the fuel is wasted as heat either in the cooling or the exhaust gases. By recovering part of the wasted energy, the overall thermal efficiency of the engine increases and the pollutant emissions are reduced. Organic Rankine cycle (ORC) systems are considered a favourable candidate technology to recover exhaust gas waste heat, because of their simplicity and small backpressure impact on the engine performance and fuel consumption. The recovered energy can be transformed into electricity or directly into mechanical power. In this study, an axial turbine expander for an ORC system was designed and optimized for a heavy-duty diesel engine for which real-world data were available. The impact of the ORC system on the fuel consumption under various operating points was investigated. Compared to an ORC system equipped with a radial turbine expander, the axial design improved fuel consumption by between 2 and 10% at low and high engine speeds. Finally, the benefits of utilising ORC systems for waste heat recovery in heavy-duty trucks is evaluated by performing various drive cycle tests, and it is found that the highest values of fuel consumption were found in the NEDC and the HDUDDS as these cycles generally involve more dynamic driving profiles. However, it was in these cycles that the ORC could recover more energy with an overall fuel consumption reduction of 5 and 4.8%, respectively

Clinical evidence continuous medical education: a randomised educational trial of an open access e-learning program for transferring evidence-based information – ICEKUBE (Italian Clinical Evidence Knowledge Utilization Behaviour Evaluation) – study protocol

<p>Abstract</p> <p>Background</p> <p>In an effort to ensure that all physicians have access to valid and reliable evidence on drug effectiveness, the Italian Drug Agency sponsored a free-access e-learning system, based on <it>Clinical Evidence</it>, called ECCE. Doctors have access to an electronic version and related clinical vignettes. Correct answers to the interactive vignettes provide Continuing Medical Education credits. The aims of this trial are to establish whether the e-learning program (ECCE) increases physicians' basic knowledge about common clinical scenarios, and whether ECCE is superior to the passive diffusion of information through the printed version of <it>Clinical Evidence</it>.</p> <p>Design</p> <p>All Italian doctors naïve to ECCE will be randomised to three groups. Group one will have access to ECCE for <it>Clinical Evidence </it>chapters and vignettes lot A and will provide control data for <it>Clinical Evidence </it>chapters and vignettes lot B; group two vice versa; group three will receive the concise printed version of <it>Clinical Evidence</it>. There are in fact two designs: a before and after pragmatic trial utilising a two by two incomplete block design (group one versus group two) and a classical design (group one and two versus group three). The primary outcome will be the retention of <it>Clinical Evidence </it>contents assessed from the scores for clinical vignettes selected from ECCE at least six months after the intervention. To avoid test-retest effects, we will randomly select vignettes out of lot A and lot B, avoiding repetitions. In order to preserve the comparability of lots, we will select vignettes with similar, optimal psychometric characteristics.</p> <p>Trial registration</p> <p>ISRCTN27453314</p

Valutazione della bont&#224; educativa dei casi clinici di ECCE, il programma di formazione a distanza (FAD) basato sulle evidenze destinato ai medici italiani

OBIETTIVO. Valutare la qualit\ue0 dei percorsi clinici di un programma FAD destinato a tutti i medici italiani verificando le loro propriet\ue0 psicometriche. METODI. AIFA ha lanciato un programma nazionale di sostegno dell\u2019informazione indipendente tramite la distribuzione gratuita ai medici di Clinical Evidence (CE). Sulla base dei contenuti di CE \ue8 stato sviluppato un programma FAD all\u2019interno del sistema di Educazione Continua in Medicina (ECM) dal nome ECCE, anch\u2019esso gratuito. I medici hanno accesso a CE online e ai relativi percorsi clinici. Superandoli il medico ottiene i crediti ECM. Nel corso del 2006 \ue8 stata valutata la qualit\ue0 di un campione di venti percorsi, su un totale di 120. La valutazione formale della qualit\ue0 dei 20 casi selezionati \ue8 avvenuta attraverso le seguenti dimensioni psicometriche: Giudizio generale sui percorsi da parte degli utilizzatori (face validity); Valutazione dei contenuti da parte di clinici esperti (content validity); Valutazione della attendibilit\ue0 del test attraverso un criterio di consistenza interna (internal reliability); Difficolt\ue0 degli items; Capacit\ue0 del test di rilevare una modificazione della conoscenza (responsiveness). RISULTATI: Alcune migliaia di utenti hanno partecipato alla valutazione fornendo esiti contrastanti: mentre la face e content validity sono state valutate positivamente dagli utilizzatori e dai clinici esperti, altri parametri come l\u2019internal reliability e la difficolt\ue0 degli items hanno mostrato grande variabilit\ue0 tra i percorsi. Sette casi mostrano un valore di alpha complessivo inferiore a 0.50 (soglia minima di affidabilit\ue0). I casi si sono dimostrati nel complesso medio-facili. Facendo riferimento solo alle proprie conoscenze i partecipanti rispondevano correttamente a circa a met\ue0 delle domande. La lettura delle fonti era associata a un miglioramento della performance (miglioramento prima-dopo statisticamente significativo, p<0.05 per 19/20 percorsi). CONCLUSIONI: L\u2019importante eterogeneit\ue0 tra percorsi dimostrerebbe come differenti casi possono analizzare in maniera molto disomogenea il domino conoscenza evidence-based derivata dai contenuti di CE

A naturally anti-diffusive compressible two phases Kapila model with boundedness preservation coupled to a high order finite volume solver

International audienceThis paper presents a two phases flow model combined with a high order finite volume solver on unstructured mesh. The solver is highly conservative and preserves the sharpness of the interface without any reconstruction. Special care has been taken for boundedness preservation, as a high order scheme does not guaranty the boundedness of the volume fraction. The efficiency of the method is demonstrated with two numerical experiments: the simple advection test and the interaction between the shock and a bubble. Although experiments have been carried out with fine mesh, it is also demonstrated that the method allows satisfactory results to be obtained with coarse mesh

Meanline analysis and CFD study of a radial inflow turbine with vaneless distributor for low temperature organic rankine cycle

The Organic Rankine Cycle (ORC) allows the conversion of low-grade heat sources into electricity. Although this technology is not new, the increase in energy demand and the need to reduce CO2 emissions create new opportunities to harvest low grade heat sources such as waste heat. Radial turbines have a simple construction, they are robust and they are not very sensitive to geometry inaccuracies. Most of the radial inflow turbines used for ORC application feature a vaned nozzle ensuring the appropriate distribution angle at the rotor inlet. In this work, no nozzle is considered but only the vaneless gap (distributor). This configuration, without any vaned nozzle, is supposed to be more flexible under varying operating conditions with respect to fixed vanes and to maintain a good efficiency at off-design. This paper presents a performance analysis carried out by means of two approaches: a combination of meanline loss models enhanced with real gas fluid properties and 3D CFD computations, taking into account the entire turbomachine including the scroll housing, the vaneless gap, the turbine wheel and the axial discharge pipe. A detailed analysis of the flow field through the turbomachine is carried out, both under design and off design conditions, with a particular focus on the entropy field in order to evaluate the loss distribution between the scroll housing, the vaneless gap and the turbine wheel

Meanline Analysis and CFD Study of a Radial Inflow Turbine With Vaneless Distributor for Low Temperature Organic Rankine Cycle

The Organic Rankine Cycle (ORC) allows the conversion of low-grade heat sources into electricity. Although this technology is not new, the increase in energy demand and the need to reduce CO2 emissions create new opportunities to harvest low grade heat sources such as waste heat. Radial turbines have a simple construction, they are robust and they are not very sensitive to geometry inaccuracies. Most of the radial inflow turbines used for ORC application feature a vaned nozzle ensuring the appropriate distribution angle at the rotor inlet. In this work, no nozzle is considered but only the vaneless gap (distributor). This configuration, without any vaned nozzle, is supposed to be more flexible under varying operating conditions with respect to fixed vanes and to maintain a good efficiency at off-design. This paper presents a performance analysis carried out by means of two approaches: a combination of meanline loss models enhanced with real gas fluid properties and 3D CFD computations, taking into account the entire turbomachine including the scroll housing, the vaneless gap, the turbine wheel and the axial discharge pipe. A detailed analysis of the flow field through the turbomachine is carried out, both under design and off design conditions, with a particular focus on the entropy field in order to evaluate the loss distribution between the scroll housing, the vaneless gap and the turbine wheel

Numerical study of a liquid-piston compressor system for hydrogen applications

The use of a liquid-piston system for hydrogen compression is investigated in this paper by means of a computational fluid dynamics (CFD) analysis. In the specific context of hydrogen-driven vehicles, high-pressure storage tanks are key to provide substantial range. The present study focuses on the intermediary compression stage of a compression-storage-dispensing (CSD) station, bringing hydrogen gas from 15 bar to 450 bar, i.e., for a pressure ratio of 30. Until now the liquid-piston technology has not been investigated for hydrogen gas compression at very high pressure, which is the purpose of this study. Simulations of the compressible two-phase flow problem are performed with a volume-of-fluid (VOF) framework using a real gas model for the gaseous phase to account for compressibility effects at large pressure ratios. A particular attention is paid to the numerical model formulation and to the treatment of the thermal boundary conditions. Results are reported using both time-resolved instantaneous bulk thermodynamic variables and global integrated quantities. Different compression scenarios are investigated, which highlights the compromise between compression efficiency and power density. To achieve the targeted pressure ratio at a power density of approximately 540 kW/m, the compression energy cost reaches 1.67 kWh/kg. Finally the paper proposes an innovative solution to minimise cost and achieve quasi-isothermal compression, based on internal forced convection. For a similar power density, a high-speed fan in the top part of the compression chamber (modelled as a volumetric momentum source of 2500 N/m) increases heat transfer and leads to a 25-% reduction in compression consumption