Wind Energy
M. Ahmadi; S.A.A. Mirjalily; Seyed A. A. Oloomi
Abstract
This study applies an appropriate turbulence model to simulate the wind distribution in a 3D urban area around a tall building as a bluff body which is one of the most important research topics due to the increasing concerns about human health risks due to air pollution in recent decades. Hybrid RANS/LES ...
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This study applies an appropriate turbulence model to simulate the wind distribution in a 3D urban area around a tall building as a bluff body which is one of the most important research topics due to the increasing concerns about human health risks due to air pollution in recent decades. Hybrid RANS/LES approach, was used to reduce computation time while maintaining computational accuracy. On the other hand, since no homogeneous direction exists in the flow in the Hybrid (RANS-LES) approach, the LES and Smagorinsky Sub Grid-Scale (SGS) approach are implemented with the standard k-ε turbulence model as RANS. To obtain more accurate results, the second-order Van Leer Method (VLM) was employed in advection terms. The sensitivity study of the input parameters shows that the intensity of the input turbulence has a significant effect on the surface pressure fluctuations. The results of velocity and pressure distribution showed a very close agreement to wind tunnel experimental data. Finally, the effects of the inflow characteristics on the peak pressure on the lateral sides is also studied. As the results, fluctuation pressure distribution was strongly dependent on the turbulence of the flow.
Electricity Generation by Green Energy Sources
A.H. Bolurian; H.R. Akbari; T. Daemi; S.A.A. Mirjalily; S. Mousavi
Abstract
This paper proposes an integrated energy management system for grid-connected microgrids, taking into account the demand response programs, fossil fuel-based generators, renewable energy sources and energy storage systems. In the proposed approach, the constraints of the problem are considered jointly ...
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This paper proposes an integrated energy management system for grid-connected microgrids, taking into account the demand response programs, fossil fuel-based generators, renewable energy sources and energy storage systems. In the proposed approach, the constraints of the problem are considered jointly in the model of the energy management systems and are used for microgrid energy management planning and economic dispatch. One of the innovations of this paper is to use the Internet of Things (IoT) platform to adjust the maximum ramp rate of production units in microgrid due to the limitations of production capacity. Since the system considered, models the general state of the internet communication of objects without the need to access the communication channel, so that the energy of consumers should be minimized as second objective function.in this platform, whenever one of the objects has a message to send, it sends it without the need to reserve a resource and schedule. The IoT can establish a good relationship between power producers in a way that reduces operating costs by exchanging data. Optimization of energy consumption in the hybrid power grid studied in this paper shows that the use of IoT platform can reduce the transmission line losses in addition to operating costs. The output results of using data in the IoT context and comparing it with the traditional mode represent the superiority of the proposed approach.