Lieve Helsen
Katholieke Universiteit Leuven
EngineeringControl engineeringModel predictive controlHeat pumpWaste management
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Publications 288
#1Alex Laferriere (École Polytechnique de Montréal)H-Index: 1
#2Massimo Cimmino (École Polytechnique de Montréal)H-Index: 7
Last. Lieve Helsen (Katholieke Universiteit Leuven)H-Index: 29
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Abstract This paper presents the development and validation of a full-time-scale semi-analytical bore field simulation model. The model allows for the simulation of bore fields comprised of arbitrarily positioned boreholes while accounting for both short-term transient thermal effects within the boreholes and long-term thermal interactions in the bore field. The g-function of the bore field, obtained from the finite line source solution, is corrected to account for the cylindrical geometry of th...
Abstract Model Predictive Control (MPC) has shown significant energy savings potential in the operation of building energy systems, yet it needs accurate and simple models for optimization. In hybrid geothermal systems the source-side temperatures affect the system efficiency and its operational feasibility. Since the ground dynamics are rather slow, simplifications such as considering a constant coefficient of performance (COP) are made. We evaluate the added value of including a short-term dyn...
#1Ina De Jaeger (Katholieke Universiteit Leuven)H-Index: 2
#2Annelies Vandermeulen (Katholieke Universiteit Leuven)H-Index: 2
Last. Dirk Saelens (Katholieke Universiteit Leuven)H-Index: 20
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With the increasing integration of multiple energy carriers in district energy systems, an accurate simulation of the district energy demand becomes more crucial. To reduce the required computation...
#1Ján Drgoňa (Katholieke Universiteit Leuven)H-Index: 4
#2Damien Picard (Katholieke Universiteit Leuven)H-Index: 5
Last. Lieve Helsen (Katholieke Universiteit Leuven)H-Index: 29
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Abstract Model predictive control (MPC) has been proven in simulations and pilot case studies to be a superior control strategy for large buildings. MPC can utilize the weather and occupancy schedule forecasts, together with the system model, to predict the future thermal behavior of the building and minimize the overall energy use and maximize thermal comfort. However, these advantages come with the cost of increased modeling effort, computational demands, communication infrastructure, and comm...
#1Yamid Gomez-Rueda (Katholieke Universiteit Leuven)
#2Ilman Nuran Zaini (KTH: Royal Institute of Technology)H-Index: 10
Last. Lieve Helsen (Katholieke Universiteit Leuven)H-Index: 29
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Abstract Gasification has been proposed as a good solution for recovering energy from waste and biomass in the form of syngas. However, the presence of tar limits syngas applications. Tar model molecules have been removed by cold plasmas up to 400 ° C, but to avoid syngas cooling tar removal above 600 ° C is required. To investigate tar removal by cold plasma at higher temperatures, two sets of experiments were done, one to identify tar composition from MSW gasification, and a second one to crac...
#1David H. BlumH-Index: 4
#2Filip JorissenH-Index: 4
Last. Marina SofosH-Index: 1
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Author(s): Blum, David; Jorissen, Filip; Huang, Sen; Arroyo, Javier; Benne, Kyle; Li, Yanfei; Gavan, Valentin; Rivalin, Lisa; Helsen, Lieve; Vrabie, Draguna; Wetter, Michael; Sofos, Marina | Abstract: Advanced control strategies are becoming increasingly necessary in buildings in order to meet and balance requirements for energy efficiency, demand flexibility, and occupant comfort. Additional development and widespread adoption of emerging control strategies, however, ultimately require low impl...
2 Citations
#1Michael Wetter (LBNL: Lawrence Berkeley National Laboratory)H-Index: 24
#1Michael Wetter (LBNL: Lawrence Berkeley National Laboratory)H-Index: 1
Last. G. Schweiger (Graz University of Technology)H-Index: 1
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IBPSA Project 1 develops and demonstrates an open-source BIM/GIS and Modelica Framework for building and community energy system design and operation. The project builds further on the completed project IEA EBC Annex 60 "New generation computational tools for building and community energy systems based on the Modelica and Functional Mockup Interface standards." This paper describes the motivation and approach of the project, and it provides an update about recent activities. These activities inc...
1 CitationsSource
#1Gerald Schweiger (Graz University of Technology)H-Index: 4
#2Filip Jorissen (Katholieke Universiteit Leuven)H-Index: 4
Last. Lieve Helsen (Katholieke Universiteit Leuven)H-Index: 29
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The optimal operation of energy systems is essential for future sustainable energy systems. While previous studies have shown the potential for equation-based modelling languages for the dynamic optimization of various systems, there is a lack of scalability studies. We investigated the scalability of two different Modelica-based tools for dynamic optimization using two use cases. The first case represents a dynamic optimization of the heating system of a multi-zone building. The second case rep...
#1Bram van der Heijde (Katholieke Universiteit Leuven)H-Index: 3
#2Annelies Vandermeulen (Katholieke Universiteit Leuven)H-Index: 2
Last. Lieve Helsen (Katholieke Universiteit Leuven)H-Index: 29
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Abstract The design and operational optimisation of fourth generation district heating networks is a crucial step towards highly renewable energy systems of the future. In order to optimise such complex systems, a toolbox modesto (multi-objective district energy systems toolbox for optimisation) is being developed. Seasonal thermal energy storage is an essential technology to allow larger shares of renewable energy sources, yet large computational power is required for its representation in full...
2 CitationsSource
Last. Lieve HelsenH-Index: 29
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In the quest to increase the share of renewable and residual energy sources in our energy system, and to reduce its greenhouse gas emissions, district heating networks and seasonal thermal energy storage have the potential to play a key role. Different studies prove the techno-economic potential of these technologies but, due to the added complexity, it is challenging to design and control such systems. This paper describes an integrated optimal design and control algorithm, which is applied to ...