References of "Quoilin, Sylvain"
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See detailComparison of different model formulations for modelling future power systems with high shares of renewables – The Dispa-SET Balkans model
Pavičević, Matija; Kavvadias, Kontantinos; Pukšec, Tomislav et al

in Applied Energy (2019)

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See detailGreenhouses: A Modelica Library for the Simulation of Greenhouse Climate and Energy Systems
Altés Buch, Queralt ULiege; Quoilin, Sylvain ULiege; Lemort, Vincent ULiege

in Proceedings of the 13th International Modelica Conference (2019, March)

This paper presents the results of an on-going project to develop Greenhouses, an open Modelica library for the simulation of greenhouse climate and energy systems. The Greenhouses library is one of the ... [more ▼]

This paper presents the results of an on-going project to develop Greenhouses, an open Modelica library for the simulation of greenhouse climate and energy systems. The Greenhouses library is one of the few open-source modeling frameworks for greenhouse climate and crop growth simulation, and the first able to handle simulating the energy integration of greenhouses coupled to thermal systems (e.g. generation and storage units). The proposed modeling framework can be used for multiple purposes, such as the optimal control of the greenhouse actuators, the optimal sizing of the heating appliances, or the optimal integration of the units in the power system. The Greenhouses library also comprises multiple example models, making it readily usable for both research and industrial applications. [less ▲]

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See detailGenerating high-resolution multi-energy load profiles for remote areas with an open-source stochastic model
Francesco, Lombardi; Balderrama Subieta, Sergio Luis ULiege; Quoilin, Sylvain ULiege et al

in Energy (2019), 177

Energy access projects in remote off-grid areas would benefit from the adoption of a multi-energy system perspective, addressing all energy needs – not only lighting and power appliances, but also water ... [more ▼]

Energy access projects in remote off-grid areas would benefit from the adoption of a multi-energy system perspective, addressing all energy needs – not only lighting and power appliances, but also water-heating and cooking – by means of a mix of energy vectors. However, multi-energy analyses in remote areas are hindered by a lack of models allowing for the generation of multi-energy load profiles based on interview-based information characterised by high uncertainty. This study proposes a novel open-source bottom-up stochastic model specifically conceived for the generation of multi-energy loads for systems located in remote areas. The model is tested and validated against data obtained from a real system, showing a very good approximation of measured profiles, with percentage errors consistently below 2% for all the selected indicators, and an improved accuracy compared to existing approaches. In particular, some innovative features – such as the possibility to define and modulate throughout the day appliances’ duty cycles – seem to be determinant in marking a difference with previous approaches. This might arguably be even more beneficial for case studies characterised by a larger penetration of appliances that are subject to complex and unpredictable duty cycle behaviour. © 2019 Elsevier Ltd [less ▲]

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See detailAutomated evaluation of levelized cost of energy of isolated micro-grids for energy planning purposes in developing countries
Balderrama Subieta, Sergio Luis ULiege; Lombardi, Francesco; Stevanato, Nicolo et al

in PROCEEDINGS OF ECOS 2019 (2019)

Countries around the world are preparing to give the last leap to accomplish a 100 % of rural energy access. Nonetheless, country-wide electrification planning requires the analysis of hundreds of un ... [more ▼]

Countries around the world are preparing to give the last leap to accomplish a 100 % of rural energy access. Nonetheless, country-wide electrification planning requires the analysis of hundreds of un-electrified villages with different social, economical and geographical backgrounds. State-of-the-art planning models typically handle this computationally challenging task relying on highly-simplified technological char- acterizations, at the expense of a proper estimation of the cost-optimal potential of off-grid technologies, particularly micro-grids. In this paper, we propose a machine- learning method to improve such technological characterization while keeping the computational tractability of the problem under control. Firstly, field surveys from rural un-electrified villages in Bolivia are used as an input for a stochastic load generator model, creating several demand scenarios for a set of different village archetypes; secondly, renewable energy time series for representative locations of Bolivia are created using the NASA database. For each demand and renewables potential combination, a two-stage stochastic sizing model is adopted to obtain the corresponding cost-optimal micro-grid configuration. Finally, these data are used to train a Gaussian process regression with the levelized cost of energy (LCOE) as dependent variable and the daily average demand, renewable energy, and techno- economic characteristics of the components as independent variables. The results show that the trained algorithm is ultimately able to identify the LCOE of micro- grids in given conditions, out of the training dataset, with satisfying accuracy and limited computational effort. [less ▲]

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See detailModelling of a village-scale Multi-Energy System (MES) for the integrated supply of electric and thermal energy
Lombardi, Francesco; Balderrama Subieta, Sergio Luis ULiege; Nicolo, Stevanato et al

in Proceedings of SSB 2018, 10th International Conference on System Simulation in Buildings (2018, December)

Energy system models for off-grid systems usually tend to focus solely on the provision of electricity for powering simple appliances, thus neglecting more energy-intensive and critical needs, such as ... [more ▼]

Energy system models for off-grid systems usually tend to focus solely on the provision of electricity for powering simple appliances, thus neglecting more energy-intensive and critical needs, such as water heating. The adoption of a Multi-Energy System (MES) perspective would allow not only to provide comprehensive solutions addressing all types of energy demand, but also to exploit synergies between the electric and thermal sectors. To this end, we expand an existing open-source micro-grid optimization model with a complementary thermal model and show how the latter allows to achieve optimal solutions that are otherwise restricted. [less ▲]

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See detailSteady-state and dynamic validation of a parabolic trough collector model using the ThermoCycle Modelica library
Desideri, Adriano ULiege; Dickes, Rémi ULiege; Bonilla, Javier et al

in Solar Energy (2018), 174

Small-capacity (<200 kWel) concentrated solar power plants has been recognized as a promising technology for micro power applications. In particular, parabolic trough collectors have been identified as ... [more ▼]

Small-capacity (<200 kWel) concentrated solar power plants has been recognized as a promising technology for micro power applications. In particular, parabolic trough collectors have been identified as the most promising focusing technology. In this context, physics-based dynamic model of parabolic trough constitutes 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 a parabolic trough line based on the ThermoCycle Modelica library is validated against steady-state and transient experimental results from the parabolic trough test loop available at the Plataforma Solar de Almería, Spain. The simulation results are in good agreement with the measurements, both in steady-state and in transient conditions. The validated model is readily usable to investigate demanding dynamics-based problems for low capacity solar power systems. [less ▲]

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See detailOpen Energy System Models: Challenges and Barriers
Quoilin, Sylvain ULiege

Speech/Talk (2018)

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See detailOnline Measurement Of The Working Fluid Mass Repartition In A Small-Scale Organic Rankine Cycle Power System
Dickes, Rémi ULiege; Dumont, Olivier ULiege; Quoilin, Sylvain ULiege et al

in Proceedings of Purdue 2018 (2018, July 12)

This paper presents an experimental investigation of the working fluid charge repartition in a 2kWe ORC (organic Rankine cycle) test bench. To this end, an online measurement apparatus is built and fully ... [more ▼]

This paper presents an experimental investigation of the working fluid charge repartition in a 2kWe ORC (organic Rankine cycle) test bench. To this end, an online measurement apparatus is built and fully calibrated to evaluate the charge enclosed in the three heat exchangers and the liquid receiver of the ORC unit. By changing all the system boundary conditions (including the charge enclosed in the test rig), an experimental database of 304 steady-state points is gathered and post-treated. The charge inventories obtained by online measurements demonstrate promising results on average but experience high uncertainties when considering each point individually (i.e. the uncertainty on the global inventory is around ± 2.5 kg for a total charge of 31.2 kg). Deviations of the evaporator mass measurements are identified at high temperature of the heat source and discussed in details. A reconciliation method is applied to the raw measurements in order to retrieve consistent charge inventories while accounting for the different sources of uncertainty. Ultimately, the paper analyses the impact of increasing the charge in the ORC and how this parameter influences the thermodynamic state of the system. [less ▲]

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See detailTechno-economic evaluation of rural electrification in Bolivia: lessons learned from the “El Espino” micro-grid
Balderrama Subieta, Sergio Luis ULiege; Haderspock, Fernando; Canedo, Walter et al

in Proceedings of ECOS 2018 - the 31th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (2018, June)

In the last ten years, Bolivia has gone through a period of economic growth and political stability without precedent in its 200 hundreds years of history. The national government has the ambition to ... [more ▼]

In the last ten years, Bolivia has gone through a period of economic growth and political stability without precedent in its 200 hundreds years of history. The national government has the ambition to reach a 100 % of rural electrification coverage by 2025. One of the key components for this purpose is the construction and operation of isolated hybrid micro-grids. In order to test this technology a pilot plant was built in September 2015 in the rural village of ‘El Espino’.The Objective of this study is the evaluation of the current operation strategy of this micro-grid and the implementation of the project. To that end, monitoring data is used, covering the period 1 of January of 2016 to 31 of july of 2017.The data analysis shows that the average PV efficiency is 9.34 %, the efficiency of the diesel generator is 31.4 % and the round trip efficiency of the battery is 74%. Using the data collected and the techno-economic information of the place, the operation cost of the system for the analyzed period is computed. Finally, an optimal dispatch model based in a mixed-integer linear programming (MILP) is used to find the optimal energy flows in the system that minimize the diesel consumption. [less ▲]

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See detailModeling and control of CHP generation for greenhouse cultivation including thermal energy storage
Altés Buch, Queralt ULiege; Quoilin, Sylvain ULiege; Lemort, Vincent ULiege

in Proceedings of ECOS 2018 - The 31st International Conference on Efficiency, Cost, Optimization, Simulation and environmental impact of energy systems (2018, June)

In recent decades, greenhouse energy consumption has been the object of a substantial literature. Attention has also been paid to the modeling of greenhouse climate simulation and energy sources to ... [more ▼]

In recent decades, greenhouse energy consumption has been the object of a substantial literature. Attention has also been paid to the modeling of greenhouse climate simulation and energy sources to evaluate energy saving options. However, such models are not readily available in the literature. The goal of this work is therefore to propose an open modeling framework capable of simulating the complex interactions and energy flows relative to such systems. A detailed dynamic model of a greenhouse describing the indoor climate and the heating system components was implemented. A dynamic tomato crop yield model was also implemented to account for the effects of the indoor climate on the harvested dry matter. The models are written in the Modelica language, are released open-source and are run within the Dymola simulation platform. The use of the proposed simulation platform is then illustrated for a particular case. The limited electrical load of greenhouses implies an excess of electricity generation when using CHP units, which have a power-to-heat ratio close to one. In this work, the addition of a heat pump is proposed to foster electrical self-consumption. A control strategy is designed to optimize the operational cost of the system. The system includes thermal energy storage, which acts as a buffer and allows minimizing the electricity sold back to the grid. Performance-based models for each generation unit and the storage unit are developed. Results show that the gas consumption was reduced by 25%. The heat pump generated 25% of the thermal load, the rest being generated by the CHP. Only 42% of the generated electricity is sold back to the grid, 57% being consumed by the heat pump. In conclusion, the heat pump and the thermal energy storage significantly improve the self-consumption level and thereby reduce the system operational cost by 9%. [less ▲]

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See detailThe joint effect of centralised cogeneration plants and thermal storage on the efficiency and cost of the power system
Jiménez Navarro, Juan Pablo; Kavvadias, Konstantinos; Quoilin, Sylvain ULiege et al

in Energy (2018), 149

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See detailExploiting waste heat potential by long distance heat transmission: Design considerations and techno-economic assessment
Kavvadias, Konstantinos; Quoilin, Sylvain ULiege

in Applied Energy (2018)

Harvesting the waste heat from industrial processes or power plants is a very effective way to increase the efficiency of an energy system. Available usually as low-grade heat, it needs to be transferred ... [more ▼]

Harvesting the waste heat from industrial processes or power plants is a very effective way to increase the efficiency of an energy system. Available usually as low-grade heat, it needs to be transferred to the points of consumption in order to be utilized. Feasible heat transmission distance is usually estimated by empiricism or by considering a limited number of parameters with the lack of a methodological tool to estimate this distance based on actual generic data. This work analyzes the particularities of long distance heat transmission by using a detailed techno-economic model for the estimation of heat transport costs including all relevant capital and operating expenditures. Sensitivity analysis is conducted to show the effect of transmission distance, supply temperatures and market prices, covering the most common technical and economic parameters found in literature. This model is also used to identify the maximum economically feasible transmission distance that meets a specified economic criterion and to derive a ‘rule of thumb’ equation. [less ▲]

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See detailCharge-sensitive modelling of organic Rankine cycle power systems for off-design performance simulation
Dickes, Rémi ULiege; Dumont, Olivier ULiege; Guillaume, Ludovic ULiege et al

in Applied Energy (2018), 212

This paper focuses on a charge-sensitive model to characterize the off-design performance of low-capacity organic Rankine cycle (ORC) power systems. The goal is to develop a reliable steady-state model ... [more ▼]

This paper focuses on a charge-sensitive model to characterize the off-design performance of low-capacity organic Rankine cycle (ORC) power systems. The goal is to develop a reliable steady-state model that only uses the system boundary conditions (i.e. the supply heat source/heat sink conditions, the mechanical components rotational speeds, the ambient temperature and the total charge of working fluid) in order to predict the ORC performance. To this end, sub-models are developed to simulate each component and they are assembled to model the entire closed-loop system. A dedicated solver architecture is proposed to ensure high-robustness for charge-sensitive simulations. This work emphasizes the complexity of the heat exchangers modelling. It demonstrates how state-of-the-art correlations may be used to identify the convective heat transfer coefficients and how the modelling of the charge helps to assess their reliability. In order to compute the fluid density in two-phase conditions, five different void fraction models are investigated. A 2 kWe unit is used as case study and the charge-sensitive ORC model is validated by comparison to experimental measurements. Using this ORC model, the mean percent errors related to the thermal power predictions in the heat exchangers are lower than 2%. Regarding the mechanical powers in the pump/expander and the net thermal efficiency of the system, these errors are lower than 11.5% and 11.6%, respectively. [less ▲]

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See detailCase study on the impact of cogeneration and thermal storage on the flexibility of the power system
Kavvadias, Konstantinos; Jimenez Navarro, Juan-Pablo; Zucker, Andreas et al

Report (2018)

This work investigates the optimal operation of cogeneration plants combined with thermal storage. To do so, a combined heat and power (CHP) plant model is formulated and incorporated into Dispa-SET, a ... [more ▼]

This work investigates the optimal operation of cogeneration plants combined with thermal storage. To do so, a combined heat and power (CHP) plant model is formulated and incorporated into Dispa-SET, a JRC in-house unit commitment and dispatch model. The cogeneration model sets technical feasible operational regions for different heat uses defined by temperature requirements. [less ▲]

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See detailComparison of different power plant clustering approaches for modelling future power systems
Pavičević, Matija; Quoilin, Sylvain ULiege; Pukšec, Tomislav

in Proceedings of the 3rd SEE SDEWES Conference (2018)

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See detailTechno-economic assessment of high renewable energy source penetration in the Bolivian interconnected electric system
Antonio Rojas Candia, Ray; Adhemar Araoz Ramos, Joseph; Luis Balderrama, Sergio et al

in Proceedings of the 31st ECOS Conference (2018)

To reduce GHG emissions to reach the 2°C level, the International Energy Agency, projected that electricity generation based in renewable source should increase from 3% today to more than 20% by 2040 ... [more ▼]

To reduce GHG emissions to reach the 2°C level, the International Energy Agency, projected that electricity generation based in renewable source should increase from 3% today to more than 20% by 2040. This transition to carbon-free and sustainable energy systems is a challenge for every country and particularly for developing countries. Lack of economic and technical resources has historically been a barrier for the transition into a low-carbon energy system. Under this context, the Bolivian government plans significant investments in renewable energy projects before 2025. Deployment of large hydro-power, small-scale wind and solar projects are foreseen in the investment agenda. However and despite the large solar capabilities of the country, solar technology is not yet considered to be a main source in the supply chain. The aim of this article is to evaluate the flexibility of the Bolivian power generation system in terms of energy balancing, electricity generation costs and power plants scheduling in a scenario that considers large solar energy technology deployment. This is done using an open source unit commitment and optimal dispatch model (Dispa-Set) developed by the Joint Research Center. National data for existing infrastructure, committed and planned energy projects are inserted to assess case of Bolivia. The base scenario consider all techno-economic data of the Bolivian power system up to 2016. Further scenarios investigate different levels of solar energy deployment. Results from the analysis show that an energy mix with participation of solar technology with values lower than 30 % seems technically feasible but thermal generation is required to follow variations of renewable sources and prevent load shedding. [less ▲]

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See detailIntegrated modelling of future EU power and heat systems - The Dispa-SET v2.2 open-source model
Kavvadias, Konstantinos; Hidalgo Gonzalez, Ignacio; Zucker, Andreas et al

Report (2018)

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See detailPerformance correlations for characterizing the optimal off-design operation of an ORC power system
Dickes, Rémi ULiege; Dumont, Olivier ULiege; Quoilin, Sylvain ULiege et al

in Energy Procedia (2017), 129

The goal of this work is to develop a set of simple correlations in order to characterize the optimal off-design performance of an ORC power system. To this end, a 2kWe ORC test rig is investigated as ... [more ▼]

The goal of this work is to develop a set of simple correlations in order to characterize the optimal off-design performance of an ORC power system. To this end, a 2kWe ORC test rig is investigated as case study and a validated off-design model is used to assess the highest net power generation achievable by the system over its complete range of operating conditions. The off-design model employed is charge-sensitive (i.e. it imposes the total mass of refrigerant in the system) which permits to predict the ORC state (i.e. its pressures, temperatures, mass flow rates, subcooling, etc.) based on the system boundary conditions only. Since such modelling approach and optimization process are time-consuming, a set of simple analytical equations is developed so as to easily predict the optimal performance of the ORC systems. [less ▲]

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See detailEvaluating flexibility and adequacy in future EU power systems: model coupling and long-term forecasting
Quoilin, Sylvain ULiege; Nijs, Wouter; Zucker, Andreas

in Proceedings of the 2017 ECOS Conference (2017, July 09)

There is an increasing need for improving the representation of the power system in energy system models. Recent research has shown that the economic value of each MWh of Variable Renewable Energy (VRE ... [more ▼]

There is an increasing need for improving the representation of the power system in energy system models. Recent research has shown that the economic value of each MWh of Variable Renewable Energy (VRE) declines with growing deployment. There are two main reasons for this: (1) even with limited shares of VRE, there is a reduced utilisation of dispatchable power plants and (2) with high shares of VRE, there can be possible excess electricity that might have to be curtailed in case of insufficient storage capacity. These findings tend to be completely ignored by models with low temporal resolution and high shares of VRE. In this work, we aim at endogenizing the flexibility constraints into long-term planning models (such as the JRC-EU-TIMES model) by taking profit of Dispa-SET, a unit commitment and optimal dispatch model. The main idea is to derive generic functions from Dispa-SET that can be used by JRC-EU-TIMES and all other energy system models. In particular, we evaluate the impact of increased variable renewable power and different configurations of power systems (production, storage, EVs, demand and flexible demand) (1) on the operations of power plants and the different storage options, determining their economics such as operating hours, number of cycles and (2) on the amount of possible excess power (power that has to be curtailed, stored, or transformed. Simulations are run in Dispa-SET for a wide set of exploratory configurations of the power system in Dispa-SET. Then, a statistical analysis of the results is performed to derive generic flexibility functions. An example of the use of such flexiblity function is finally proposed for a long-term simulation in the JRC-EU-TIMES model at the European level, showing a non-negligible impact on the value of VRE, on the utilization of dispatchable generation, and on the required storage capacity. [less ▲]

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See detailEffects of void fraction and heat transfer correlations in a charge-sensitive ORC model – a comparison with experimental data
Dickes, Rémi ULiege; Guillaume, Ludovic ULiege; Dumont, Olivier ULiege et al

in Proceedings of ECOS 2017 (2017, July 02)

In order to properly evaluate the off-design performance of an ORC unit, it is important to use simulation tools that minimize the number of assumptions regarding the system state. To avoid imposing the ... [more ▼]

In order to properly evaluate the off-design performance of an ORC unit, it is important to use simulation tools that minimize the number of assumptions regarding the system state. To avoid imposing the condenser subcooling (or any other equivalent state variable), the ORC model should account for the mass repartition of working fluid through the unit in function of the operating conditions. Among the various components constituting ORC power systems, the proper modelling of the mass of working fluid enclosed in the heat exchangers is of primary importance. The goal of this work is to develop such a reliable charge-sensitive ORC model. To this end, a 2kWe recuperative ORC system is used as case study and experimental measurements are used as reference dataset. The ORC system features two brazed plate heat exchangers and one fin coil condenser. For these three heat exchangers, a large set of empirical correlations is investigated in order to evaluate both the fluids void fractions and their convective heat transfer coefficients. By comparing the models predictions with the experimental data, the study highlights the limitations of existing correlations and investigates three different correction methods to improve them. Ultimately, the analysis compares nine models of brazed plate heat exchangers, two models of condenser, three correction methods for improving the heat transfer correlations and four void fraction methods. Accounting for every combination possible, 288 different models of the ORC are compared for predicting both the heat exchangers thermal performance and the total mass enclosed in the ORC unit. Out of this study, the best modelling approach is identified and details of its charge inventory predictions are presented. [less ▲]

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