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Waste heat recovery systems are today considered as a valuable solution to increase energy efficiency of industrial applications and heavy-duty vehicles, as it uses a thermodynamic organic Rankine cycle system to recover the heat losses to produce electrical or mechanical power. Optimal performance of such machines is often achieved at conditions where complex time-varying nonlinear dynamics are encountered, making the automatic control strategy a fundamental element to maximise the energy efficiency. In this paper the development of a multiple model predictive controller suitable for industrial implementation is presented, and its effectiveness is experimentally validated for the task of maximising output power of a 11kWel small-scale ORC power unit used in a waste heat recovery application. The main advantage of the proposed controller is the possibility to use different model structures to describe local dynamics without increasing complexity of the optimisation problem. Additionally, experimental results illustrate that the entire operating range of the system might be classified in two regions, a quasi-linear and a highly nonlinear region for ‘high’ and ‘low’ superheating degrees respectively. Closed-loops tests lead to the conclusion that a single linear model predictive controller might only be used under suboptimal operation of low power production (on the quasi-linear region for ‘high’ superheating), otherwise leading to poor performance or even instability. Alternatively, the proposed strategy keeps the cycle stable over the entire range of conditions and allows to increase the net electrical energy produced by at least 6%, even under drastic waste heat source variations, when operating closer to the minimum allowed superheating degree.
Andres Hernandez; Fredy Ruiz; Sergei Gusev; Robin De Keyser; Sylvain Quoilin; Vincent Lemort. Experimental validation of a multiple model predictive control for waste heat recovery organic Rankine cycle systems. Applied Thermal Engineering 2021, 116993 .
AMA StyleAndres Hernandez, Fredy Ruiz, Sergei Gusev, Robin De Keyser, Sylvain Quoilin, Vincent Lemort. Experimental validation of a multiple model predictive control for waste heat recovery organic Rankine cycle systems. Applied Thermal Engineering. 2021; ():116993.
Chicago/Turabian StyleAndres Hernandez; Fredy Ruiz; Sergei Gusev; Robin De Keyser; Sylvain Quoilin; Vincent Lemort. 2021. "Experimental validation of a multiple model predictive control for waste heat recovery organic Rankine cycle systems." Applied Thermal Engineering , no. : 116993.
The operation and economic profitability of modern energy systems is constrained by the availability of renewable energy and water resources. Lower water availability due to climate change, higher demand and increased water consumption for non-energy and energy needs may cause problems in Africa. In most African power systems, hydropower is a dominant renewable energy resource, and interconnection capacities are usually limited or unreliable. This paper describes a new modelling framework for analysing the water-energy nexus in the African Power Pools. This framework includes soft linking between two models: the LISFLOOD model is used to generate hydrological inputs and the Dispa-SET model is used for mid-term hydrothermal coordination and optimal unit commitment and power dispatch over the whole African continent. The results show a good agreement between the model outputs and the historical values, despite data-related limitations. Furthermore, the simulations provide hourly time series of electricity generation at the plant level in a robust way. It appears that some African power pools heavily rely on the availability of freshwater resources, while others are less dependent. In the long term, the dependence of the power system on water resources is likely to increase to meet the increasing electricity demand in Africa.
Matija Pavičević; Matteo De Felice; Sebastian Busch; Ignacio Hidalgo González; Sylvain Quoilin. Water-energy nexus in African power pools – The Dispa-SET Africa model. Energy 2021, 228, 120623 .
AMA StyleMatija Pavičević, Matteo De Felice, Sebastian Busch, Ignacio Hidalgo González, Sylvain Quoilin. Water-energy nexus in African power pools – The Dispa-SET Africa model. Energy. 2021; 228 ():120623.
Chicago/Turabian StyleMatija Pavičević; Matteo De Felice; Sebastian Busch; Ignacio Hidalgo González; Sylvain Quoilin. 2021. "Water-energy nexus in African power pools – The Dispa-SET Africa model." Energy 228, no. : 120623.
District heating has already proven to be a suitable solution for the decarbonisation of the most energy intensive energy sector in Europe, heating and cooling. However, to achieve this, it needs to incorporate renewable and sustainable energy sources into the generation mix which is still dominated by fossil fuels in many countries. Alongside traditional renewables like solar thermal, geothermal and biomass, excess heat from the industrial and service sector has a high untapped potential. Nonetheless, to utilize it in district heating, third party access must be granted. For that reason, a wholesale day ahead heat market has been modelled in this study and validated on a case study in the city of Sisak in Croatia. The idea was twofold: to evaluate the functionality of such a heat market and its effect on the existing system, as well as to analyse the integration of high and low temperature excess heat sources in different conditions, including the use of thermal storage, as well as the competition with low-cost renewables, i.e. solar thermal. The results have shown that the introduction of a wholesale day ahead heat market would ensure the positive total welfare in all the scenarios. The benefit for the demand side and the total welfare would increase even more if excess heat sources are integrated in the system and especially if they are combined with a thermal storage to increase their capacity factor, which would also decrease the competing effect of solar thermal. Finally, it was shown that low temperature excess heat is not feasible in the high temperature district heating and the transfer to the 4th generation district heating is required to feasibly utilise low temperature sources.
Borna Doračić; Matija Pavičević; Tomislav Pukšec; Sylvain Quoilin; Neven Duić. Utilizing excess heat through a wholesale day ahead heat market – The DARKO model. Energy Conversion and Management 2021, 235, 114025 .
AMA StyleBorna Doračić, Matija Pavičević, Tomislav Pukšec, Sylvain Quoilin, Neven Duić. Utilizing excess heat through a wholesale day ahead heat market – The DARKO model. Energy Conversion and Management. 2021; 235 ():114025.
Chicago/Turabian StyleBorna Doračić; Matija Pavičević; Tomislav Pukšec; Sylvain Quoilin; Neven Duić. 2021. "Utilizing excess heat through a wholesale day ahead heat market – The DARKO model." Energy Conversion and Management 235, no. : 114025.
The EU aims to become the world’s first climate-neutral continent by 2050. In order to meet this target, the integration of high shares of Renewable Energy Sources (RESs) in the energy system is of primary importance. Nevertheless, the large deployment of variable renewable sources such as wind and photovoltaic power will pose important challenges in terms of power management. For this reason, increasing the system flexibility will be crucial to ensure the security of supply in future power systems. This work investigates the flexibility potential obtainable from the diffusion of Demand Response (DR) programmes applied to residential heating for different renewables penetration and power system configuration scenarios. To that end, a bottom-up model for residential heat demand and flexible electric heating systems (heat pumps and electric water heaters) is developed and directly integrated into Dispa-SET, an existing unit commitment optimal dispatch model of the power system. The integrated model is calibrated for the case of Belgium and different simulations are performed varying the penetration and type of residential heating technologies, installed renewables capacity and capacity mix. Results show that, at country level, operational cost could be reduced up to 35 million and curtailment up to 1 TWh per year with 1 million flexible electric heating systems installed. These benefits are significantly reduced when nuclear power plants (non-flexible) are replaced by gas-fired units (flexible) and grow when more renewable capacity is added. Moreover, when the number of flexible heating systems increases, a saturation effect of the flexibility is observed.
Chiara Magni; Alessia Arteconi; Konstantinos Kavvadias; Sylvain Quoilin. Modelling the Integration of Residential Heat Demand and Demand Response in Power Systems with High Shares of Renewables. Energies 2020, 13, 6628 .
AMA StyleChiara Magni, Alessia Arteconi, Konstantinos Kavvadias, Sylvain Quoilin. Modelling the Integration of Residential Heat Demand and Demand Response in Power Systems with High Shares of Renewables. Energies. 2020; 13 (24):6628.
Chicago/Turabian StyleChiara Magni; Alessia Arteconi; Konstantinos Kavvadias; Sylvain Quoilin. 2020. "Modelling the Integration of Residential Heat Demand and Demand Response in Power Systems with High Shares of Renewables." Energies 13, no. 24: 6628.
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 us 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. Results show how the latter achieves optimal solutions that are otherwise restricted, allowing for a reduction in the Levelized Cost of Energy (LCOE) of 59% compared to a conventional microgrid, and an increase of reliance on renewable sources of 70%.
Nicolo' Stevanato; Lorenzo Rinaldi; Stefano Pistolese; Sergio Luis Balderrama Subieta; Sylvain Quoilin; Emanuela Colombo. Modeling of a Village-Scale Multi-Energy System for the Integrated Supply of Electric and Thermal Energy. Applied Sciences 2020, 10, 7445 .
AMA StyleNicolo' Stevanato, Lorenzo Rinaldi, Stefano Pistolese, Sergio Luis Balderrama Subieta, Sylvain Quoilin, Emanuela Colombo. Modeling of a Village-Scale Multi-Energy System for the Integrated Supply of Electric and Thermal Energy. Applied Sciences. 2020; 10 (21):7445.
Chicago/Turabian StyleNicolo' Stevanato; Lorenzo Rinaldi; Stefano Pistolese; Sergio Luis Balderrama Subieta; Sylvain Quoilin; Emanuela Colombo. 2020. "Modeling of a Village-Scale Multi-Energy System for the Integrated Supply of Electric and Thermal Energy." Applied Sciences 10, no. 21: 7445.
Offshore wind energy development has been driven by government support schemes; however, recent cost reductions raise the prospect of offshore wind power becoming cheaper than conventional power generation. Many countries use auctions to provide financial support; however, differences in auction design make their results difficult to compare. Here, we harmonize the auction results from five countries based on their design features, showing that offshore wind power generation can be considered commercially competitive in mature markets. Between 2015 and 2019, the price paid for power from offshore wind farms across northern Europe fell by 11.9 ± 1.6% per year. The bids received in 2019 translate to an average price of €51 ± 3 MWh−1, and substantially different auction designs have received comparably low bids. The level of subsidy implied by the auction results depends on future power prices; however, projects in Germany and the Netherlands are already subsidy-free, and it appears likely that in 2019 the United Kingdom will have auctioned the world’s first negative-subsidy offshore wind farm.
Malte Jansen; Iain Staffell; Lena Kitzing; Sylvain Quoilin; Edwin Wiggelinkhuizen; Bernard Bulder; Iegor Riepin; Felix Müsgens. Offshore wind competitiveness in mature markets without subsidy. Nature Energy 2020, 5, 614 -622.
AMA StyleMalte Jansen, Iain Staffell, Lena Kitzing, Sylvain Quoilin, Edwin Wiggelinkhuizen, Bernard Bulder, Iegor Riepin, Felix Müsgens. Offshore wind competitiveness in mature markets without subsidy. Nature Energy. 2020; 5 (8):614-622.
Chicago/Turabian StyleMalte Jansen; Iain Staffell; Lena Kitzing; Sylvain Quoilin; Edwin Wiggelinkhuizen; Bernard Bulder; Iegor Riepin; Felix Müsgens. 2020. "Offshore wind competitiveness in mature markets without subsidy." Nature Energy 5, no. 8: 614-622.
Hybrid microgrids represent a cost-effective and viable option to ensure access to energy in rural areas located far from the main grid. Nonetheless, the sizing of rural microgrids is complicated by the lack of models capable of accounting for the evolution of the energy demand over time, which is likely to occur in such contexts as a result of the modification of users' lifestyles. To tackle this issue, the present study aims at developing a novel, long-term optimisation model formulation, capable of accounting for load evolution and performing suitable investment decisions for capacity expansion along the time horizon. Multiple scenarios of load evolution are considered to evaluate the beneficial effects of this novel approach, through the coupling of the model with a tool for stochastic load profiles generation. The results show how this implementation brings lower Net Present Cost to the project and improved correspondence between actual electricity demand and microgrid sizing. Finally, a sensitivity analysis evaluates the robustness of the approach with respect to input data variability and the Loss of Load parameter.
Nicolò Stevanato; Francesco Lombardi; Giulia Guidicini; Lorenzo Rinaldi; Sergio L. Balderrama; Matija Pavičević; Sylvain Quoilin; Emanuela Colombo. Long-term sizing of rural microgrids: Accounting for load evolution through multi-step investment plan and stochastic optimization. Energy for Sustainable Development 2020, 58, 16 -29.
AMA StyleNicolò Stevanato, Francesco Lombardi, Giulia Guidicini, Lorenzo Rinaldi, Sergio L. Balderrama, Matija Pavičević, Sylvain Quoilin, Emanuela Colombo. Long-term sizing of rural microgrids: Accounting for load evolution through multi-step investment plan and stochastic optimization. Energy for Sustainable Development. 2020; 58 ():16-29.
Chicago/Turabian StyleNicolò Stevanato; Francesco Lombardi; Giulia Guidicini; Lorenzo Rinaldi; Sergio L. Balderrama; Matija Pavičević; Sylvain Quoilin; Emanuela Colombo. 2020. "Long-term sizing of rural microgrids: Accounting for load evolution through multi-step investment plan and stochastic optimization." Energy for Sustainable Development 58, no. : 16-29.
This work examines the role of centralised cogeneration plants as one of the potential pathways of a future decarbonised energy system. Even in this context, thermal power plants will still exist and the utilisation of their excess heat via district heating networks can assist the decarbonisation of the built environment. In particular, the potential of existing thermal power plants to operate as combined heat and power (CHP) plants is assessed and their impact on the power system quantified. To do so, the European heat demand for the built environment is described, focused on the heat demand supplied with fossil fuels, and the European power sector is discussed. Then, a power system model (Dispa-SET) is used to evaluate this coupling pathway in terms of operating costs, efficiencies and associated CO2 emissions. The analysis is developed for the current and future European power system. Results show that the conversion of thermal into CHP plants increases the efficiency and reduces both the operating costs and the environmental impact of the energy system. Not only that, it also offers alternative flexibility options when coupled with thermal storage. Still, large investments regarding the deployment of thermal networks are required to leverage the full CHP potential.
Juan-Pablo Jimenez-Navarro; Konstantinos Kavvadias; Faidra Filippidou; Matija Pavičević; Sylvain Quoilin. Coupling the heating and power sectors: The role of centralised combined heat and power plants and district heat in a European decarbonised power system. Applied Energy 2020, 270, 115134 .
AMA StyleJuan-Pablo Jimenez-Navarro, Konstantinos Kavvadias, Faidra Filippidou, Matija Pavičević, Sylvain Quoilin. Coupling the heating and power sectors: The role of centralised combined heat and power plants and district heat in a European decarbonised power system. Applied Energy. 2020; 270 ():115134.
Chicago/Turabian StyleJuan-Pablo Jimenez-Navarro; Konstantinos Kavvadias; Faidra Filippidou; Matija Pavičević; Sylvain Quoilin. 2020. "Coupling the heating and power sectors: The role of centralised combined heat and power plants and district heat in a European decarbonised power system." Applied Energy 270, no. : 115134.
For decades, electrification planning in the developing world has often focused on extending the national grid to increase electricity access. This article draws attention to the potential complementary role of decentralized alternatives – primarily micro-grids – to address universal electricity access targets. To this aim, we propose a methodology consisting of three steps to estimate the LCOE and to size micro-grids for large-scale geo-spatial electrification modelling. In the first step, stochastic load demand profiles are generated for a wide range of settlement archetypes using the open-source RAMP model. In the second step, stochastic optimization is carried by the open-source MicroGridsPy model for combinations of settlement size, load demand profiles and other important techno-economic parameters influencing the LCOE. In the third step, surrogate models are generated to automatically evaluate the LCOE using a multivariate regression of micro-grid optimization results as a function of influencing parameters defining each scenario instance. Our developments coupled to the OnSSET electrification tool reveal an important increase in the cost-competitiveness of micro-grids compared to previous analyses.
J.G. Peña Balderrama; S. Balderrama Subieta; F. Lombardi; N. Stevanato; A. Sahlberg; M. Howells; E. Colombo; Sylvain Quoilin. Incorporating high-resolution demand and techno-economic optimization to evaluate micro-grids into the Open Source Spatial Electrification Tool (OnSSET). Energy for Sustainable Development 2020, 56, 98 -118.
AMA StyleJ.G. Peña Balderrama, S. Balderrama Subieta, F. Lombardi, N. Stevanato, A. Sahlberg, M. Howells, E. Colombo, Sylvain Quoilin. Incorporating high-resolution demand and techno-economic optimization to evaluate micro-grids into the Open Source Spatial Electrification Tool (OnSSET). Energy for Sustainable Development. 2020; 56 ():98-118.
Chicago/Turabian StyleJ.G. Peña Balderrama; S. Balderrama Subieta; F. Lombardi; N. Stevanato; A. Sahlberg; M. Howells; E. Colombo; Sylvain Quoilin. 2020. "Incorporating high-resolution demand and techno-economic optimization to evaluate micro-grids into the Open Source Spatial Electrification Tool (OnSSET)." Energy for Sustainable Development 56, no. : 98-118.
The relevance of sector coupling is increasing when shifting from the current highly centralised and mainly fossil fuel-based energy system to a more decentralized and renewable energy system. Cross-sectoral linkages are already recognized as a cost-effective decarbonisation strategy that provides significant flexibility to the system. Modelling such cross-sectoral interconnections is thus highly relevant. In this work, these interactions are considered in a long-term perspective by uni-directional soft-linking of two models: JRC-EU-TIMES, a long term planning multisectoral model, and Dispa-SET, a unit commitment and optimal dispatch model covering multiple energy sectors such as power, heating & cooling, transportation etc. The impact of sector coupling in future Europe-wide energy systems with high shares of renewables is evaluated through five scenarios. Results show that the contributions of individual sectors are quite diverse. The transport sector provides the highest flexibility potential in terms of power curtailment, load shedding, congestion in the interconnection lines and resulting greenhouse gas emissions reduction. Nevertheless, allowing combinations of multiple flexibility options such as hydro for the long-term, electric vehicles and flexible thermal units for the short-term provides the best solution in terms of system adequacy, greenhouse gas emissions and operational costs.
Matija Pavičević; Andrea Mangipinto; Wouter Nijs; Francesco Lombardi; Konstantinos Kavvadias; Juan Pablo Jiménez Navarro; Emanuela Colombo; Sylvain Quoilin. The potential of sector coupling in future European energy systems: Soft linking between the Dispa-SET and JRC-EU-TIMES models. Applied Energy 2020, 267, 115100 .
AMA StyleMatija Pavičević, Andrea Mangipinto, Wouter Nijs, Francesco Lombardi, Konstantinos Kavvadias, Juan Pablo Jiménez Navarro, Emanuela Colombo, Sylvain Quoilin. The potential of sector coupling in future European energy systems: Soft linking between the Dispa-SET and JRC-EU-TIMES models. Applied Energy. 2020; 267 ():115100.
Chicago/Turabian StyleMatija Pavičević; Andrea Mangipinto; Wouter Nijs; Francesco Lombardi; Konstantinos Kavvadias; Juan Pablo Jiménez Navarro; Emanuela Colombo; Sylvain Quoilin. 2020. "The potential of sector coupling in future European energy systems: Soft linking between the Dispa-SET and JRC-EU-TIMES models." Applied Energy 267, no. : 115100.
Matija Pavičević; Sylvain Quoilin; Andreas Zucker; Goran Krajačić; Tomislav Pukšec; Neven Duić. Applying the Dispa-SET Model to the Western Balkans Power System. Journal of Sustainable Development of Energy, Water and Environment Systems 2020, 8, 184 -212.
AMA StyleMatija Pavičević, Sylvain Quoilin, Andreas Zucker, Goran Krajačić, Tomislav Pukšec, Neven Duić. Applying the Dispa-SET Model to the Western Balkans Power System. Journal of Sustainable Development of Energy, Water and Environment Systems. 2020; 8 (1):184-212.
Chicago/Turabian StyleMatija Pavičević; Sylvain Quoilin; Andreas Zucker; Goran Krajačić; Tomislav Pukšec; Neven Duić. 2020. "Applying the Dispa-SET Model to the Western Balkans Power System." Journal of Sustainable Development of Energy, Water and Environment Systems 8, no. 1: 184-212.
Matija Pavičević; Konstantinos Kavvadias; Tomislav Pukšec; Sylvain Quoilin. Comparison of different model formulations for modelling future power systems with high shares of renewables – The Dispa-SET Balkans model. Applied Energy 2019, 252, 1 .
AMA StyleMatija Pavičević, Konstantinos Kavvadias, Tomislav Pukšec, Sylvain Quoilin. Comparison of different model formulations for modelling future power systems with high shares of renewables – The Dispa-SET Balkans model. Applied Energy. 2019; 252 ():1.
Chicago/Turabian StyleMatija Pavičević; Konstantinos Kavvadias; Tomislav Pukšec; Sylvain Quoilin. 2019. "Comparison of different model formulations for modelling future power systems with high shares of renewables – The Dispa-SET Balkans model." Applied Energy 252, no. : 1.
Efforts towards ensuring clean and affordable electricity for all have been progressing slowly in rural, off grid areas of developing countries. In this context, hybrid microgrids may offer reliable and potentially clean electricity for isolated locations. Nevertheless, the process of planning and operation of these systems faces several challenges, often due to the uncertainties related to the renewable resources and to the stochastic nature of electricity consumption in rural contexts. This paper tackles this problem and contributes to the literature in bridging the gap between field practices and two-stage stochastic modeling approaches by identifying an open-source modeling framework which is then applied to real local data. As reference case-study, we consider a microgrid built in 2015 in Bolivia. Overall, the optimal system results from a compromise between the Net Present Cost, the peak capacity installed and the flexibility (to balance variable generation). Different approaches to size isolated microgrids are tested, with the conclusion that methods accounting for the uncertainty in both demand and renewable generation may lead to a more robust configuration with little impacts on the final cost for the community.
Sergio Balderrama; Francesco Lombardi; Fabio Riva; Walter Canedo; Emanuela Colombo; Sylvain Quoilin. A two-stage linear programming optimization framework for isolated hybrid microgrids in a rural context: The case study of the “El Espino” community. Energy 2019, 188, 116073 .
AMA StyleSergio Balderrama, Francesco Lombardi, Fabio Riva, Walter Canedo, Emanuela Colombo, Sylvain Quoilin. A two-stage linear programming optimization framework for isolated hybrid microgrids in a rural context: The case study of the “El Espino” community. Energy. 2019; 188 ():116073.
Chicago/Turabian StyleSergio Balderrama; Francesco Lombardi; Fabio Riva; Walter Canedo; Emanuela Colombo; Sylvain Quoilin. 2019. "A two-stage linear programming optimization framework for isolated hybrid microgrids in a rural context: The case study of the “El Espino” community." Energy 188, no. : 116073.
Francesco Lombardi; Sergio Balderrama; Sylvain Quoilin; Emanuela Colombo. Generating high-resolution multi-energy load profiles for remote areas with an open-source stochastic model. Energy 2019, 177, 433 -444.
AMA StyleFrancesco Lombardi, Sergio Balderrama, Sylvain Quoilin, Emanuela Colombo. Generating high-resolution multi-energy load profiles for remote areas with an open-source stochastic model. Energy. 2019; 177 ():433-444.
Chicago/Turabian StyleFrancesco Lombardi; Sergio Balderrama; Sylvain Quoilin; Emanuela Colombo. 2019. "Generating high-resolution multi-energy load profiles for remote areas with an open-source stochastic model." Energy 177, no. : 433-444.
Robust sizing of rural micro-grids is hindered by uncertainty associated with the expected load demand and its potential evolution over time. This study couples a stochastic load generation model with a two-stage stochastic micro-grid sizing model to take into account multiple probabilistic load scenarios within a single optimisation problem. As a result, the stochastic-optimal sizing of the system ensures an increased robustness to shocks in the expected load compared to a best-case (lowest-demand) sizing, though with a lower cost and better dispatch flexibility compared to a worst-case (highest-demand) sizing. What is more, allowing just a 1% unmet demand enables to significantly improve the cost-competitiveness and the renewables penetration as all the not supplied energy is located in a negligible fraction of the unlikeliest highest demand scenarios.
Nicolo' Stevanato; Francesco Lombardi; Emanuela Colmbo; Sergio Balderrama; Sylvain Quoilin. Two-Stage Stochastic Sizing of a Rural Micro-Grid Based on Stochastic Load Generation. 2019 IEEE Milan PowerTech 2019, 1 -6.
AMA StyleNicolo' Stevanato, Francesco Lombardi, Emanuela Colmbo, Sergio Balderrama, Sylvain Quoilin. Two-Stage Stochastic Sizing of a Rural Micro-Grid Based on Stochastic Load Generation. 2019 IEEE Milan PowerTech. 2019; ():1-6.
Chicago/Turabian StyleNicolo' Stevanato; Francesco Lombardi; Emanuela Colmbo; Sergio Balderrama; Sylvain Quoilin. 2019. "Two-Stage Stochastic Sizing of a Rural Micro-Grid Based on Stochastic Load Generation." 2019 IEEE Milan PowerTech , no. : 1-6.
This work evaluates the performance of the group contribution volume translated Peng-Robinson model when predicting the vapor-liquid equilibrium and single phase densities of 28 commercial refrigerant mixtures with low global warming potential and zero ozone depletion potential. Cubic equations of state, and particularly the Peng-Robinson equation of state, are widely used in the refrigeration industry due to their easy applicability for new substances, and their low computational time, although generally lower prediction accuracies must be expected compared to multiparameter equations of state. The group contribution volume translated Peng-Robinson equation of state combines the Peng-Robinson equation of state with a new attraction term, improved mixing rules using a group contribution approach, and volume translation. The results are compared with the estimates obtained using the non translated Peng-Robinson equation of state, and a multiparameter equation of state.
I.H. Bell; J. Welliquet; M.E. Mondejar; A. Bazyleva; S. Quoilin; F. Haglind. Application of the group contribution volume translated Peng–Robinson equation of state to new commercial refrigerant mixtures. International Journal of Refrigeration 2019, 103, 316 -328.
AMA StyleI.H. Bell, J. Welliquet, M.E. Mondejar, A. Bazyleva, S. Quoilin, F. Haglind. Application of the group contribution volume translated Peng–Robinson equation of state to new commercial refrigerant mixtures. International Journal of Refrigeration. 2019; 103 ():316-328.
Chicago/Turabian StyleI.H. Bell; J. Welliquet; M.E. Mondejar; A. Bazyleva; S. Quoilin; F. Haglind. 2019. "Application of the group contribution volume translated Peng–Robinson equation of state to new commercial refrigerant mixtures." International Journal of Refrigeration 103, no. : 316-328.
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Queralt Altes-Buch; Sylvain Quoilin; Vincent Lemort. Greenhouses: A Modelica Library for the Simulation of Greenhouse Climate and Energy Systems. Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019 2019, 1 .
AMA StyleQueralt Altes-Buch, Sylvain Quoilin, Vincent Lemort. Greenhouses: A Modelica Library for the Simulation of Greenhouse Climate and Energy Systems. Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019. 2019; (157):1.
Chicago/Turabian StyleQueralt Altes-Buch; Sylvain Quoilin; Vincent Lemort. 2019. "Greenhouses: A Modelica Library for the Simulation of Greenhouse Climate and Energy Systems." Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019 , no. 157: 1.
Sergio Balderrama; Gabriela Peña; Francesco Lombardi; Nicolo Stevanato; Andreas Sahlberg; Mark Howells; Emanuela Colombo; Sylvain Quoilin. The Cost of Rural Electrification Including E-Cooking for Bolivian Medium Size Isolated Low-Lands Villages. Proceedings of the ISES Solar World Congress 2019 2019, 1 .
AMA StyleSergio Balderrama, Gabriela Peña, Francesco Lombardi, Nicolo Stevanato, Andreas Sahlberg, Mark Howells, Emanuela Colombo, Sylvain Quoilin. The Cost of Rural Electrification Including E-Cooking for Bolivian Medium Size Isolated Low-Lands Villages. Proceedings of the ISES Solar World Congress 2019. 2019; ():1.
Chicago/Turabian StyleSergio Balderrama; Gabriela Peña; Francesco Lombardi; Nicolo Stevanato; Andreas Sahlberg; Mark Howells; Emanuela Colombo; Sylvain Quoilin. 2019. "The Cost of Rural Electrification Including E-Cooking for Bolivian Medium Size Isolated Low-Lands Villages." Proceedings of the ISES Solar World Congress 2019 , no. : 1.
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.
Adriano Desideri; Rémi Dickes; Javier Bonilla; Loreto Valenzuela; Sylvain Quoilin; Vincent Lemort. Steady-state and dynamic validation of a parabolic trough collector model using the ThermoCycle Modelica library. Solar Energy 2018, 174, 866 -877.
AMA StyleAdriano Desideri, Rémi Dickes, Javier Bonilla, Loreto Valenzuela, Sylvain Quoilin, Vincent Lemort. Steady-state and dynamic validation of a parabolic trough collector model using the ThermoCycle Modelica library. Solar Energy. 2018; 174 ():866-877.
Chicago/Turabian StyleAdriano Desideri; Rémi Dickes; Javier Bonilla; Loreto Valenzuela; Sylvain Quoilin; Vincent Lemort. 2018. "Steady-state and dynamic validation of a parabolic trough collector model using the ThermoCycle Modelica library." Solar Energy 174, no. : 866-877.
The coupling of the heating and the electricity sectors is of utmost importance when it comes to the achievement of the decarbonisation and the energy efficiency targets set for the 2020 and 2030 in the EU. Centralised cogeneration plants connected to district heat networks are fundamental element of this coupling. Despite the efficiency benefits, the effects of introducing combined generation to the power system are sometimes adverse. Reduced flexibility caused by contractual obligations to deliver heat may not always facilitate the penetration of renewable energy in the energy system. Thermal storage is acknowledged as a solution to the above. 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. Different energy system scenarios are used to assess the implications of the heating–electricity coupling to the flexibility of the power system and to the achievement of the decarbonisation goals in an existing non interconnected power system where CHP plants provide heating and electricity to nearby energy dense areas. The analysis indicates that the utilisation of CHP plants contributes to improve the overall system efficiency and reduce total cost of the system. In addition, the incorporation of thermal storage increases the penetration of renewable energy in the system.
Juan-Pablo Jiménez-Navarro; Konstantinos C. Kavvadias; Sylvain Quoilin; Andreas Zucker. The joint effect of centralised cogeneration plants and thermal storage on the efficiency and cost of the power system. Energy 2018, 149, 535 -549.
AMA StyleJuan-Pablo Jiménez-Navarro, Konstantinos C. Kavvadias, Sylvain Quoilin, Andreas Zucker. The joint effect of centralised cogeneration plants and thermal storage on the efficiency and cost of the power system. Energy. 2018; 149 ():535-549.
Chicago/Turabian StyleJuan-Pablo Jiménez-Navarro; Konstantinos C. Kavvadias; Sylvain Quoilin; Andreas Zucker. 2018. "The joint effect of centralised cogeneration plants and thermal storage on the efficiency and cost of the power system." Energy 149, no. : 535-549.