Hydrological Watershed Modelling of Arkun Dam Located in Coruh River Northewast Turkey by Using GR4J-CEMANEIGE- Sefa Aktaş 2020
In this study, the hydrological modelling of Arkun dam basin was conducted using GR4J runoff-precipitation model and CemaNeige snow accounting routine. Arkun dam located in Çoruh River was chosen as an outlet and its basin determined by using Geographical Information Systems. Model parameters of GR4J and CemaNeige were determined for Arkun dam basin in order to be used in streamflow calculations. B The necessity of a snow accounting routine, in this case CemaNeige, was clearly shown.
Comparison Analysis Between Meshless Radial Basis Function Collocation Method and Finite Element Method-Ismet Karakan 2020
An extensive comparison analysis between FEM and RBFCM is provided considering both two dimensional Poisson’s equation and Stokes equation
with Dirichlet and Neumann boundary conditions. For accuracy, relative error analysis and root mean square error analysis is supplied, keeping the costs proximate to each other. In the matter of stability, condition numbers of matrices for both cases are provided quantitatively. For speed, code run times are compared. And for ease of implementation, a qualitative conclusion is drawn.
Green Building and Energy Efficiency Application Decisions in Sustainable Project Management- Mete Saraçoğlu
The aim of the study has been to assess the various stages for taking the decision to implement green building practices during the construction of a project with the existing regulatory framework in Turkey. The assessment was used to derive a decision-making tool showing the degree of green building practices achievable with limited risk at each stage of construction. Case studies were identified as three health campus hospitals recently built under the Public-Private Partnership scheme for which the decision to target a LEED certification was given at early construction stage. The data therefore allowed further analysis of the degrees of freedom and constraints faced by the projects compared to each LEED criteria. Furthermore, the first year operational results on energy and water consumption were analyzed with the purpose of elaborating on benefits obtained from implementation of such green building practices
Estimating Transport Energy Demand in Turkey via Genetic Algorithm, GHG Emissions for Electrical Cars Scenario and Its Climate Change Impact-Cem Tiranlar 2015
The electricity demand forecasting of the transport sector in Turkey has been carried out by taking into consideration official estimates, energy infrastructure needs, sector-specific growth and development expectancies. A survey for end user perceptions towards electric vehicles has been conducted, and two alternative ways are employed: (i) top-down approach using genetic algorithms and (ii) bottom-up approach using the Boğaziçi University Energy Modeling System (BUEMS), a technologically detailed linear activity analysis framework. BUEMS is calibrated under various scenarios to evaluate the impact of additional electricity demand on the power generation mix and CO2 emissions.