The Experts below are selected from a list of 24585 Experts worldwide ranked by ideXlab platform
Wahiba Yaïci - One of the best experts on this subject based on the ideXlab platform.
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Simulation and optimisation study of the integration of distributed generation and electric vehicles in smart Residential District
International Journal of Energy and Environmental Engineering, 2019Co-Authors: Michela Longo, Federica Foiadelli, Wahiba YaïciAbstract:This paper presents an optimisation methodology for simulating the integration of distributed generation and electric vehicles (EVs) in a Residential District. A model of a smart Residential District is proposed. Different charging scenarios (CS) for private cars are considered for simulating different power demand distributions during the day. Four different case studies are investigated, namely the Base Case, in which no EVs are present in the District and three study cases with different CSs. A global optimisation method based on a genetic algorithm approach was applied on the model to find the total power from PV panels installed and co-generative micro gas turbines while minimising the annual energy cost in the District for the four different scenarios. In conclusion, the results showed that the use of EVs in the District introduces considerable savings with respect to the Base Case. Moreover, the impact of the chosen CS is nearly insignificant under a purely economic perspective even if it is relevant for grid management. Additionally, the optimum amounts of installed power vary in a limited range if the distance travelled by EVs, users’ departure and arrival time change broadly.
Michela Longo - One of the best experts on this subject based on the ideXlab platform.
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Simulation and optimisation study of the integration of distributed generation and electric vehicles in smart Residential District
International Journal of Energy and Environmental Engineering, 2019Co-Authors: Michela Longo, Federica Foiadelli, Wahiba YaïciAbstract:This paper presents an optimisation methodology for simulating the integration of distributed generation and electric vehicles (EVs) in a Residential District. A model of a smart Residential District is proposed. Different charging scenarios (CS) for private cars are considered for simulating different power demand distributions during the day. Four different case studies are investigated, namely the Base Case, in which no EVs are present in the District and three study cases with different CSs. A global optimisation method based on a genetic algorithm approach was applied on the model to find the total power from PV panels installed and co-generative micro gas turbines while minimising the annual energy cost in the District for the four different scenarios. In conclusion, the results showed that the use of EVs in the District introduces considerable savings with respect to the Base Case. Moreover, the impact of the chosen CS is nearly insignificant under a purely economic perspective even if it is relevant for grid management. Additionally, the optimum amounts of installed power vary in a limited range if the distance travelled by EVs, users’ departure and arrival time change broadly.
Erik Merkel - One of the best experts on this subject based on the ideXlab platform.
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the role of seasonal thermal energy storage in increasing renewable heating shares a techno economic analysis for a typical Residential District
Energy and Buildings, 2019Co-Authors: Russell Mckenna, Daniel Fehrenbach, Erik MerkelAbstract:Abstract European renewable energy developments have so far focussed on electricity generation, with relatively modest progress in renewable heating. Partly this is due to the temporal mismatch between solar irradiation availability and Residential heating demand profiles. Seasonal thermal energy storage (STES) has been proven in several pilot projects and is market ready, albeit not currently economical. This paper sets out to assess the potential contribution of STES to increasing the renewable heating fraction in Residential buildings. An existing mixed integer linear program (MILP) is extended to consider STES and applied to optimize the energy supply system for a typical Residential District with efficient new-build apartment buildings, in the context of five contrasting scenarios. Achieving 100% renewable heat supply requires significant capacities of seasonal storages and is associated with substantially (14%) higher cost than in the reference scenario. To achieve a 60% renewable heat supply fraction under today's framework conditions, the cost increase compared to the reference scenario is only marginal (1%). The results in three future scenarios reflecting possible conditions in 2030 demonstrate that even higher levels of renewable heat supply could soon become economical. Overall the recommendation is to aim for renewable heat supply levels of around 60–80% combined with demand side measures such as improved insulation. Further work should focus on more systematically exploring the relationship between the grid renewable electricity fraction, available solar collector area and the optimal renewable heat integration strategy.
Marco Pau - One of the best experts on this subject based on the ideXlab platform.
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demand side management of a pool of air source heat pumps for space heating and domestic hot water production in a Residential District
Energy Conversion and Management, 2020Co-Authors: Jacopo Vivian, Enrico Prataviera, Francesco Cunsolo, Marco PauAbstract:Abstract The ongoing electrification of the heating sector will severely affect the patterns of power consumption in electrical distribution systems. Coupling electric heat pumps to thermal energy storage systems allows to increase the flexibility in their operation, thus minimizing the side effects on the electrical grid. This paper investigates the potential of an optimization algorithm that coordinates the operation of a pool of heat pumps in a Residential District with the aim of reducing the power peak at grid level. In the simulated scenarios, the heat pumps are coupled to heat storage tanks for space heating and domestic hot water production. The simulations show that the proposed Demand Side Management strategy allows reducing daily peaks up to 21% when only space heating is considered, and up to a 35% when domestic hot water tanks are included in the optimization. The article discusses the effects of different factors, such as weather conditions and user behavior, as well as the uncertainty inherent to the predictions of domestic hot water and electrical consumption. In conclusion, the paper shows that a centralized management of the heat pumps can significantly contribute to reducing the issues linked to the extensive electrification of Residential heating systems.
Borong Lin - One of the best experts on this subject based on the ideXlab platform.
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study on the impacts of vegetation on wind environment in Residential District combined numerical simulation and field experiment
Procedia environmental sciences, 2012Co-Authors: Bo Hong, Borong LinAbstract:Abstract Residential area greening, one of key measures for urban reforestation, is regarded as one of the most effective methods to improve the outdoor microclimate. Better ventilation is considered crucial for improving the inferior outdoor thermal environment in summer. On the other hand, stronger wind in winter is unpleasant for pedestrian from a thermal comfort viewpoint. So it is necessary to determine better vegetation type selection and arrangement in the green space among buildings to achieve a comfortable outdoor thermal environment. This study investigated the influences of vegetation on wind environment in Residential District by carrying out field experiments in Ivy town Residential area in Beijing, and then, numerical simulation with SPOTE (Simulation Platform for Outdoor Thermal Environment) experiments for outdoor thermal environment of vegetation was adopted for comparison. The study could be described as follows: 1) By comparing the experiment data with simulation results, it could be concluded that the wind field simulated were consistent with the actual wind field, and the wind flow distribution impacted by vegetation could be accurately reflected; 2) In order to investigate influence of different vegetation on wind filed, the wind velocity with vegetation and without vegetation were compared both in winter and summer, for these simulation results will help us determine which vegetation to plant in green space in that we can predict the effects of vegetation on wind environment; 3) And after that, by adjusting arrangement and types of vegetation in the regions where the wind environment was unpleasant for pedestrian thermal comfort both in winter and summer, the pedestrian-level wind velocity could be obviously improved through the simulation and comparison.
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optimal tree design for sunshine and ventilation in Residential District using geometrical models and numerical simulation
Building Simulation, 2011Co-Authors: Bo Hong, Borong LinAbstract:Vegetation has positive effects on the outdoor pedestrian comfort and thermal environment. Studied with He Qing Yuan District in Beijing, an investigation of the optimal landscape design of trees in Residential buildings at northern China is carried out for good sunshine and comfortable wind environment. Firstly, in consideration of the legal planning requirement for basic sunshine hour control in winter for house, geometrical models for trees and buildings are built and analyzed by AutoCAD and Sketch-Up software to determine reasonable tree location between buildings, suitable heights and crown shapes. Secondly, aimed at comfortable wind environment inside the Residential District, optimal arrangement of trees has been studied with numerical simulation by SPOTE (simulation platform for outdoor thermal environment), where the air velocity lower than 5 m/s is introduced as the aims of scheme optimization. With geometrical analysis and numerical simulation and comparison, the tree types and layout in green space between buildings were optimized.
