References of "Lemort, Vincent"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailExperimental investigation of four volumetric expanders
Dumont, Olivier ULiege; Dickes, Rémi ULiege; Lemort, Vincent ULiege

in Energy Procedia (2017)

Detailed reference viewed: 324 (6 ULiège)
Full Text
Peer Reviewed
See detailRule-based control and optimization of a hybrid solar microgrid for rural electrification and heat supply in sub-Saharan Africa
Altés Buch, Queralt ULiege; Orosz, Matthew; Quoilin, Sylvain ULiege et al

in Proceedings of the 30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS) (2017)

This work aims at developing, optimizing and controlling a hybrid solar microgrid for rural electrification and heat supply in sub-Saharan Africa. The considered system includes PV panels, Parabolic ... [more ▼]

This work aims at developing, optimizing and controlling a hybrid solar microgrid for rural electrification and heat supply in sub-Saharan Africa. The considered system includes PV panels, Parabolic Trough Collectors, ORC and LPG generator, as well as battery and thermal energy storage. A special focus is paid to the co-optimization of the thermal and electrical load satisfaction since it can improve the overall energy efficiency of the system. To that end, different sub-component models are developed: - A building model to predict thermal loads of a health clinic in rural communities of Lesotho. - A microgrid model built by interconnecting the subcomponent models. - A rule-based control strategy, dispatching heat and electrical powers of each component to cover the demand while minimizing the fuel consumption. - A particle-swarm optimization of the microgrid under different cost assumptions. For the studied community of Ha Nkau in Lesotho, the determined optimal system infrastructure is composed of PV (66 kW) and batteries (262 kWh), and the optimum control strategy achieves a levelized cost of electricity of 0.203 USD/kWh. Fuel consumption is mainly due to the burner, which supplies most of the thermal load together with CSP (66 m2) and TES (86 kWh). [less ▲]

Detailed reference viewed: 48 (3 ULiège)
Full Text
Peer Reviewed
See detailVariable thickness scroll compressor performance analysis—Part II: Dynamic modeling and model validation
Bin, Peng; Lemort, Vincent ULiege; Legros, Arnaud et al

in Proc IMechE Part E: J Process Mechanical Engineering (2017)

In order to investigate the performance of variable thickness scroll compressor, a detail mathematical modeling based on energy and mass balances is established in this two-part. In part II, dynamic ... [more ▼]

In order to investigate the performance of variable thickness scroll compressor, a detail mathematical modeling based on energy and mass balances is established in this two-part. In part II, dynamic modeling and model validation are developed. Temperature, pressure, mass flow of working chambers, friction loss power of moving parts, efficiency, and shaft power are investigated by solving the mathematical modeling. The experimental rig for variable thickness scroll compressor based on involute of circle, high order curve and arc is set up. From the comparison of the simulated and measured data, it can be seen that the compressor model predicts the mass flow, discharge temperature, and shaft power very well. So the proposed mathematical modeling can accurately describe all the suction, compression, and discharge processes for variable thickness scroll compressor. [less ▲]

Detailed reference viewed: 36 (2 ULiège)
Full Text
Peer Reviewed
See detailVariable thickness scroll compressor performance analysis—Part I: Geometric and thermodynamic modeling
Bin, Peng; Lemort, Vincent ULiege; Legros, Arnaud et al

in Proc IMechE Part E: J Process Mechanical Engineering (2017)

In order to investigate the performance of variable thickness scroll compressors, a detail mathematical modeling based on energy and mass balances is established in this two-part. In part I, the geometric ... [more ▼]

In order to investigate the performance of variable thickness scroll compressors, a detail mathematical modeling based on energy and mass balances is established in this two-part. In part I, the geometric modeling and thermodynamic modeling are developed. The profile based on circle involute, high order curve, and arc is built up using the base line method. The volume of working chambers from suction to discharge is defined. Thereafter, the evolution and derivative of the working chamber volume with respect to the orbiting angle are discussed. The energy and the mass balance for working chamber are described. Suction gas heating, radial and flank leakage, heat transfer between the working fluid, scroll wraps and plates are considered in the thermodynamic modeling. The established geometric modeling and thermodynamic modeling can provide better understanding of the variable thickness scroll compressor working process. The dynamical modeling and model validation are reported in part II. [less ▲]

Detailed reference viewed: 65 (2 ULiège)
Full Text
See detailNowate: Waste heat re-use for greener trucks
Lemort, Vincent ULiege; Guillaume, Ludovic ULiege; Bettoja, Federica et al

Conference (2017)

Detailed reference viewed: 30 (7 ULiège)
Full Text
Peer Reviewed
See detailThermo-economic optimization during preliminary design phase of organic Rankine cycle systems for waste heat recovery from exhaust and recirculated gases of heavy duty trucks
Guillaume, Ludovic ULiege; Legros, Arnaud; Dickes, Rémi ULiege et al

in IMechE (Ed.) Vehicle Thermal Management Systems conference (2017)

Waste heat recovery (WHR) Organic Rankine Cycle (ORC) system is a very promising technology for reducing fuel consumption and consequently the CO2 emissions of future heavy-duty trucks (HDT). Nonetheless ... [more ▼]

Waste heat recovery (WHR) Organic Rankine Cycle (ORC) system is a very promising technology for reducing fuel consumption and consequently the CO2 emissions of future heavy-duty trucks (HDT). Nonetheless, the adoption of this technology in the automotive domain requires specific R&D activities going from the system definition to the on-board integration. This study focuses on the preliminary design phase of ORC systems recovering the heat wasted from two of the sources available on a HDT: the exhaust and recirculated gases. From these heat sources and their combinations, 6 possible architectures are identified. On the other hand, 4 volumetric expansion machine technologies are considered (scroll, screw, piston and vane Expanders). At the end, 24 topologies are therefore modelled considering the main components (Pump, Heat exchangers, Expansion machines). A three-step optimization method is proposed to identify the most promising system. First, the most suitable conditions are identified for the design of the ORC systems using a simple model of volumetric expansion machine. In a second step, the design phase, using more detailed models for the expansion machines, a thermos-economic optimization is performed. Finally, in a third step, the output power of the latter system models is maximized in off-design conditions, optimizing the evaporating pressure and the overheating degree. [less ▲]

Detailed reference viewed: 70 (10 ULiège)
Full Text
See detailProjets de Récupération de chaleur fatale suivis par l’ULg
Lemort, Vincent ULiege; Le, Van Long; Gendebien, Samuel ULiege et al

Conference (2017)

Detailed reference viewed: 90 (20 ULiège)
Full Text
Peer Reviewed
See detailNonlinear identification and control of Organic Rankine Cycle systems using sparse polynomial models
Hernandez, Andres; Ruiz, Fredy; Ionescu, Clara et al

in Proceedings of the 2016 IEEE Conference on Control Applications (CCA) Part of 2016 IEEE Multi-Conference on Systems and Contro (2016, September 19)

Development of a first principles model of a system is not only a time- and cost- consuming task, but often leads to model structures which are not directly usable to design a controller using current ... [more ▼]

Development of a first principles model of a system is not only a time- and cost- consuming task, but often leads to model structures which are not directly usable to design a controller using current available methodologies. In this paper we use a sparse identification procedure to obtain a nonlinear polynomial model. Since this is a NP-hard problem, a relaxed algorithm is employed to accelerate its convergence speed. The obtained model is further used inside the nonlinear Extended Prediction Self-Adaptive control (NEPSAC) approach to Non- linear Model Predictive Control (NMPC), which replaces the complex nonlinear optimization problem by a simpler iterative quadratic programming procedure. An organic Rankine cycle system, characterized for presenting nonlinear time-varying dynamics, is used as benchmark to illustrate the effectiveness of the proposed combined strategies. [less ▲]

Detailed reference viewed: 33 (9 ULiège)
Full Text
Peer Reviewed
See detailSteady-state and dynamic validation of a small scale waste heat recovery system using the ThermoCycle Modelica library
Desideri, Adriano ULiege; Hernandez, Andres; Gusev, Sergei et al

in Energy (2016), 115

The organic Rankine cycle (ORC) power system has been recognized as a promising technology for micro power applications. In this context, physics-based dynamic models can constitute a significant tool for ... [more ▼]

The organic Rankine cycle (ORC) power system has been recognized as a promising technology for micro power applications. In this context, physics-based dynamic models can constitute a significant tool for the further development of the technology, allowing to evaluate and optimize response times during transients, or to implement and test innovative control strategies. In this contribution, the dynamic model of an ORC power unit based on the ThermoCycle Modelica library is validated against steady-state and transient experimental results from an 11 kWel stationary ORC system. The simulation results are in good agreement with the measurements, both in steady-state and in transient conditions. The validated library is readily usable to investigate demanding dynamics-based problems for low capacity power systems. [less ▲]

Detailed reference viewed: 50 (9 ULiège)
Full Text
Peer Reviewed
See detailDYNAMIC MODELING OF WASTE HEAT RECOVERY ORGANIC RANKINE CYCLE SYSTEMS IN THE AMESIM PLATFORM
Guillaume, Ludovic ULiege; Ameel, Bernd; Criens, Chris et al

Conference (2016, September 14)

ORC waste heat recovery is a very promising technology for reducing fuel consumption and consequently the CO2 emissions of future heavy-duty trucks. Because of the transient nature of the heat sources ... [more ▼]

ORC waste heat recovery is a very promising technology for reducing fuel consumption and consequently the CO2 emissions of future heavy-duty trucks. Because of the transient nature of the heat sources encountered on a truck, dynamic simulations are an essential part of the design process of ORC systems for truck applications. Dynamic models are useful for component design, control design and transient evaluation of ORC systems. To ease the burden of building numerous dynamic models of different candidate ORCs while the design process is ongoing, a library of generic dynamic models of ORCs is built in this work. These models work in synergy with a steady-state ORC design tool in which is added a function to automatically populate the parameters of the dynamic models. In this work, the dynamic model library and their parameterization process in LMS AMESim are described. The platform is largely used in automotive industry and offers a variety of libraries: Engine, Control, Two-Phase Flow, etc. Finally, the dynamic models are compared against the steady-state models and experimental data. [less ▲]

Detailed reference viewed: 155 (7 ULiège)
Full Text
Peer Reviewed
See detailTHERMO-ECONOMIC OPTIMIZATION OF ORGANIC RANKINE CYCLE SYSTEMS FOR WASTE HEAT RECOVERY FROM EXHAUST AND RECIRCULATED GASES OF HEAVY DUTY TRUCKS
Guillaume, Ludovic ULiege; Legros, Arnaud; Lemort, Vincent ULiege

Conference (2016, September 14)

Waste heat recovery (WHR) ORC is a very promising technology for reducing fuel consumption and consequently the CO2 emissions of future heavy-duty trucks (HDT). Nonetheless, the adoption of this ... [more ▼]

Waste heat recovery (WHR) ORC is a very promising technology for reducing fuel consumption and consequently the CO2 emissions of future heavy-duty trucks (HDT). Nonetheless, the adoption of this technology in the automotive domain requires specific R&D activities going from the system definition to the on-board integration. This study focuses on the preliminary design phase of ORC systems recovering the heat wasted from two of the sources available on a HDT: the exhaust and recirculated gases. From these heat sources and their combinations, 6 possible architectures are identified. On the other hand, 4 volumetric expansion machine technologies are considered (Scroll, Screw, Piston and Vane Expanders). At the end, 24 topologies are modelled considering only the main components (Pump, Heat exchangers, Expansion machines). A three-step optimization method is proposed to identify the most promising system. First, the most suitable design conditions are identified using a simple model of expansion machine. In a second step, the design phase, using more detailed models for the expansion machines, a thermodynamic and economic optimizations are performed. Finally, in a third step, the output power of the latter system models is maximized in off-design conditions. [less ▲]

Detailed reference viewed: 128 (9 ULiège)
Full Text
Peer Reviewed
See detailA general methodology for optimal load management with distributed renewable energy generation and storage in residential housing
Georges, Emeline ULiege; Braun, James; Lemort, Vincent ULiege

in Journal of Building Performance Simulation [=JBPS] (2016)

In the US, buildings represent around 40% of the primary energy consumption and 74% of the electrical energy consumption [U.S. Department of Energy (DOE). 2012. 2011 Buildings Energy Data Book. Energy ... [more ▼]

In the US, buildings represent around 40% of the primary energy consumption and 74% of the electrical energy consumption [U.S. Department of Energy (DOE). 2012. 2011 Buildings Energy Data Book. Energy Efficiency & Renewable Energy]. Incentives to promote the installation of on-site renewable energy sources have emerged in different states, including net metering programmes. The fast spread of such distributed power generation represents additional challenges for the management of the electricity grid and has led to increased interest in smart control of building loads and demand response programmes. This paper presents a general methodology for assessing opportunities associated with optimal load management in response to evolving utility incentives for residential buildings that employ renewable energy sources and energy storage. An optimal control problem is formulated for manipulating thermostatically controlled domestic loads and energy storage in response to the availability of renewable energy generation and utility net metering incentives. The methodology is demonstrated for a typical American house built in the 1990s and equipped with a single-speed air-to-air heat pump, an electric water heater and photovoltaic (PV) collectors. The additional potential associated with utilizing electrical batteries is also considered. Load matching performance for on-site renewable energy generation is characterized in terms of percentage of the electricity production consumed on-site and the proportion of the demand covered. For the purpose of assessing potential, simulations were performed assuming perfect predictions of the electrical load profiles. The method also allows determination of the optimal size of PV systems for a given net metering programme. Results of the case study showed significant benefits associated with control optimization including an increase of load matching between 3% and 28%, with the improvement dependent on the net metering tariff and available storage capacity. The estimated cost savings for the consumer ranged from 6.4% to 27.5% compared to no optimization with a unitary buy-back ratio, depending on the available storage capacity. Related reduction in CO2 emissions were between 11% and 46%. Optimal load management of the home thermal systems allowed an increase in the optimal size of the PV system in the range of 13–21%. [less ▲]

Detailed reference viewed: 103 (29 ULiège)
Full Text
See detailModelling of an automotive multi-evaporator air-conditioning system
Gillet, Thomas ULiege; Lemort, Vincent ULiege; Rullière, Romuald et al

Scientific conference (2016, July 13)

An automotive multi-evaporator air conditioning system, which is composed of two evaporators and a secondary fluid cooler, was modeled using the LMS Imagine.Lab Amesim® 1D software. The present study ... [more ▼]

An automotive multi-evaporator air conditioning system, which is composed of two evaporators and a secondary fluid cooler, was modeled using the LMS Imagine.Lab Amesim® 1D software. The present study focuses on understanding the dynamic coupling of the several loop components such as the three evaporators having different cooling capacities. This kind of multi-evaporator air-conditioning system has a number of technological barriers that must be overcome. Understanding the behavior of their respective expansion devices and the choice of these latter is also essential to control properly the transient phase and ensure an optimal operation of the air-conditioning system. In order to study the behavior of the loop, step disturbances were simulated on an operating point at medium and high load. The impact of these disturbances on the stability of the supplied cooled air temperature is analyzed for two types of expansion valve. Initial results show that the thermostatic expansion valves can cause instabilities. Furthermore, the electronic expansion valves have to be regulated with an advanced control in order to use their full potential and to try to achieve desired results. [less ▲]

Detailed reference viewed: 67 (10 ULiège)
Full Text
Peer Reviewed
See detailExperimental results for hydrocarbon refrigerant vaporization in brazed plate heat exchangers at high pressure
Desideri, Adriano ULiege; Rhyl Kaern, Martin; Ommen Schmidt, Torben et al

in Proceedings of the 16th International Refrigeration and Air Conditioning Conference at Purdue (2016, July 11)

In recent years the interest in small capacity organic Rankine cycle (ORC) power systems for harvesting low quality waste thermal energy from industrial processes has been steadily growing. Micro ORC ... [more ▼]

In recent years the interest in small capacity organic Rankine cycle (ORC) power systems for harvesting low quality waste thermal energy from industrial processes has been steadily growing. Micro ORC systems are normally equipped with brazed plate heat exchangers which allows for efficient heat transfer with a compact design. An accurate prediction of the heat transfer process characterizing these devices is required from the design phase to the development of model- based control strategies. The current literature is lacking experimental data and validated correlations for vaporization of organic fluids at typical working conditions of ORC systems for low temperature waste heat recovery (WHR) applications. Based on these premises, a novel test-rig has been recently designed and built at the Technical University of Denmark to simulate the evaporating condition occurring in a small capacity ORC power unit. In this contribution the preliminary experimental results obtained from the first experimental campaign carried out on the rig are reported. HFC-134a was selected as working fluid. The experiments were carried out at saturation temperature of 60, 70 and 80 ○C and inlet and outlet qualities ranging between 0.01-0.3 and 0.5-0.95 respectively. The heat flux ranged between 19.4 and 43.1 kWm−2. The results are presented in terms of refrigerant side heat transfer coefficient and pressure drop. The heat transfer coefficient showed significant sensitivity to the saturation temperature and was characterized by a decreasing trend with respect to the mean evaporator quality. The frictional pressure drop showed a linear dependence on the mean quality value and increased as the saturation temperature decreased. The experimental heat transfer coefficients were compared with a well-known correlation for nucleate boiling which is able to predict the results with an accuracy of around 20 %. [less ▲]

Detailed reference viewed: 21 (0 ULiège)
Full Text
See detailLoad modulation strategies of residential heat pumps for demand-response programs with different thermal storage options
Georges, Emeline ULiege; Lemort, Vincent ULiege

in Proceedings of the 4th International High Performance Buildings Conference at Purdue (2016, July)

Detailed reference viewed: 31 (5 ULiège)
Full Text
Peer Reviewed
See detailORCmKit: an open-source library for organic Rankine cycle modelling and analysis
Dickes, Rémi ULiege; Ziviani, Davide; van den Broek, Martjin et al

in Proceedings of ECOS 2016 (2016, June 20)

As for many other technologies, modelling and simulation of organic Rankine cycles (ORCs) are crucial for design, optimization and control purposes. However, model development is often time consuming and ... [more ▼]

As for many other technologies, modelling and simulation of organic Rankine cycles (ORCs) are crucial for design, optimization and control purposes. However, model development is often time consuming and the scientific community lacks of open-access tools to study ORC systems. For these reasons, researchers from the universities of Liège and Ghent in Belgium gathered their knowledge and created “ORC modelling Kit” (ORCmKit), an open-source library dedicated to the steady-state simulation and analysis of organic Rankine cycles. Both component-level and cycle-level models are provided and different ORC architectures can be simulated. For each of the main component of ORC systems, different models are available with increasing complexity which allows a wide range of modelling possibilities. In order to remain general and accessible to as many people as possible, three widely used programming languages are covered within ORCmKit, i.e. Matlab, Python and EES (Engineering Equation Solver). Besides source codes, ORCmKit also includes calibration tools for empirical and semi-empirical models as well as a complete documentation for ease of use. [less ▲]

Detailed reference viewed: 322 (12 ULiège)
Full Text
Peer Reviewed
See detailOrganic Rankine cycle modelling and the ORCmKit library: analysis of R1234ze(Z) as drop-in replacement of R245fa for low-grade waste heat recovery
Ziviani, Davide; Dickes, Rémi ULiege; Quoilin, Sylvain ULiege et al

in Proceedings of ECOS 2016 (2016, June 20)

Due to the wide interest in organic Rankine cycles (ORCs) as a sustainable technology and the importance of numerical analyses and optimization procedures while considering such systems, we created a ... [more ▼]

Due to the wide interest in organic Rankine cycles (ORCs) as a sustainable technology and the importance of numerical analyses and optimization procedures while considering such systems, we created a dedicated open-source library named “ORC modelling Kit” (ORCmKit). The comprehensive library includes single com-ponents and overall models for subcritical, transcritical and supercritical ORCs. Three main programming environments are currently supported: Matlab, Python and EES (Engineering Equation Solver). A detailed steady-state cycle model of a small-scale regenerative ORC with a single-screw expander is used to evalu-ate the performance influence of R1234ze(Z) as a drop-in replacement of R245fa currently used in the instal-lation. The ORC system is used to recover low-grade waste heat with a temperature range between 90°C and 120°C. A thermal oil heater is used to simulate the heat source. A parametric study is carried out to in-vestigate the performance of the system throughout the range of interest in order to optimize the ORC with R1234ze(Z). [less ▲]

Detailed reference viewed: 153 (7 ULiège)
Full Text
Peer Reviewed
See detailSteady-state and dynamic modelling of a 1 MWel commercial waste heat recovery ORC power plant
Andritsos, George; Desideri, Adriano ULiege; Gantiez, Clement et al

in Steady-state and dynamic modelling of a 1 MWel commercial waste heat recovery ORC power plant (2016, June 19)

ORC power systems have been proven to be a mature technology for low quality waste heat recovery applications. ORC units stand out for their simple structure, reliability and cost- effectiveness. The non ... [more ▼]

ORC power systems have been proven to be a mature technology for low quality waste heat recovery applications. ORC units stand out for their simple structure, reliability and cost- effectiveness. The non-constant nature of the energy source requires the ORC power unit to be flexible. Dynamic modelling can be adopted to evaluate and optimize the response time of a system in case of transient conditions, to develop and test control strategies, to support the tuning of the controller and to support maintenance. In this work the dynamic model of a 1 MWel commercial ORC unit is presented. The dynamic model is developed based on the ThermoCycle Modelica library. The different component model are validated in steady-state against 21 measurements points. The dynamic model of the whole power unit is then developed connecting the validated component models. Different modelling approaches of various complexity are implemented to model the heat exchangers of the power system. The performance of the developed heat exchanger (HX) models are tested by running different transient simulations. The results allow identifying benefits and limitations of the tested HX modelling approaches. [less ▲]

Detailed reference viewed: 44 (4 ULiège)