Prof. Avci has published in the following topics.
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.
The main intention of this study is to develop an electricity demand projection for Turkey for the period 2012-2035.
The project covers the five main clusters of electricity demanding sectors that are: i) industrial sector, ii) residential
sector, iii) Service/commercial sector, iv)transport sector, and v) others. Overall electricity demand forecasting
process till end year 2035 has been carried out by taking into considerations of official demographic projections, and
energy efficiency improvement expectations as well as the sector based growth and development expectancies.
Pumping tests are one of the most commonly used in situ testing techniques for assessing aquifer hydraulic properties. Numerous researches have been conducted to predict the effects of aquifer heterogeneity on the groundwater levels during pumping tests. The objectives of the present work were as follows: (1) to predict drawdown conditions and to estimate aquifer properties during pumping tests undertaken in radially symmetric heterogeneous aquifers, and (2) to identify a method for assessing the transmissivity field along the radial coordinate in radially symmetric and fully heterogeneous transmissivity fields. The first objective was achieved by expanding an existing analytical drawdown formulation that was valid for a radially symmetric confined aquifer with two concentric zones around the pumping well to an N concentric zone confined aquifer having a constant transmissivity value within each zone. The formulation was evaluated for aquifers with three and four concentric zones to assess the effects of the transmissivity field on the drawdown conditions. The specific conditions under which aquifer properties could be identified using traditional methods of analysis were also evaluated. The second objective was achieved by implementing the inverse solution algorithm (ISA), which was developed for petroleum reservoirs to groundwater aquifer settings. The results showed that the drawdown values are influenced by a volumetric integral of a weighting function and the transmissivity field within the cone of depression. The weighting function migrates in tandem with the expanding cone of depression. The ability of the ISA to predict radially symmetric and log‐normally distributed transmissivity fields was assessed against analytical and numerical benchmarks. The results of this investigation indicated that the ISA method is a viable technique for evaluating the radial transmissivity variations of heterogeneous aquifer settings.
A new analysis technique has been proposed for interpreting transient step-drawdown test data. The proposed method is based on taking the derivative of the drawdown with respect to time for the entire pumping test period to eliminate the time-independent well-loss terms. The derivative function is subsequently integrated to obtain the time-dependent aquifer drawdown as a continuous function. The well-loss parameters are then obtained with higher accuracy once the aquifer behavior is identified. The proposed method is applicable for analyzing data obtained not only from ideal confined aquifers but also from other aquifer types (i.e. unconfined) and non-ideal aquifers (i.e. heterogeneous). The technique was tested for synthetically generated and field data; the proposed approach was noted to provide accurate aquifer and well-loss parameter estimates. The results of the proposed method were compared with those of some of the existing methods for analyzing step-drawdown test data and were found to be more reliable and robust.
Groundwater solute transport phenomena typically occur in water-bearing zones with heterogeneous solute dispersive characteristics and/or media hydraulic properties. A radial basis function collocation method (RBFCM)-based numerical method was developed in order to investigate the ability of RBFCM to accurately portray solute transport phenomena under heterogeneous conditions. Simulations were performed for 1-D and 2-D transport scenarios in which scale-dependent dispersivity fields were taken into consideration and compared with available analytical solutions. Different radial basis functions (RBFs) were employed for assessing the sensitivity of the present method on the selected RBFs. The simulation results were also compared with the results of MT3DMS which is a modular three-dimensional transport model with alternative solution schemes including the method of characteristics, the implicit central finite difference and the third order total variation diminishing finite volume. The proposed model was also used to simulate a real case condition where solute transport through a two-layer soil medium had been investigated experimentally. The results showed that RBFCM represented a powerful tool for predicting the solute transport occurrence under heterogeneous conditions with high accuracy.
Municipal waste landfills represent a viable and quite commonly used method for domestic waste disposal even though the method has been used for centuries. Municipal waste landfills, at the same time, pose potentially adverse environmental impacts that need to be considered during the site selection process, landfill design, operational and post closure phases. An Environmental Impact Assessment (EIA) study represents an effective tool built into the legislative process of many countries and institutions that can be used to identify potential adverse effects on human health, environment impacts and ecologic risks. The decision makers are able to review all the necessary data on potential impacts prior to project approval. In this manner appropriate remedial measures can be identified and implemented prior to the project start-up.
Environmental Impact Assessment Sanitary Landfill Ground Water Quality Landfill Cover Environmental Impact Assessment Process