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Article Utilization of Robotics for Solar Panel Cleaning and Maintenance(2019) Park, Haon; Öztürk, Abdullah; Park, Hajun; Khan, Muhammed UmerIn this study, a portable and low-cost solar panel cleaning robot with a functioning to blowaway dust was designed and built to incur labor costs.The robot is service effective, environmentallyfriendly, energy independent, self-automated, long durable, and cost-effective. After cleaning operation,output voltage and current in solar panel increased by 8.02% and 18.78%, respectively. Moreover, theimage processing with the photos taken by a camera fixed on the robot made classification according tocolor changes in the solar panel. Therefore, it can be concluded that the automated and multifunctionalrobot may facilitate the solar panel surface cleaning and be an applicable maintenance method throughremote monitoring of the surface conditions.Article Effective Use of Solar Energy With Bim Supported Parametric Methods: Case Study Al-Shaab Stadium(2021) Koçyiğit, Filiz Bal; Allawı, AbdullahIn this study, it is aimed to create an infrastructure that can contribute to the integration of parametric techniques and the joint work of construction and architectural science through an exemplary building design. The ability to respond to changes in data entry in algorithms gives architectural designers the opportunity to optimize structures and form at the same time. At the same time, replacing inputs with parametric techniques saves time in the design process. Otherwise, the design will have to be redesigned from the beginning, depending on the periodic change made in the design. In addition to this, it has been emphasized to build a building design and structure that will provide energy efficiency. In order to create low cost in profit-cost ratios, the possibility of minimizing the inefficient surfaces with the design method by analysing the floats with maximum energy gain due to creating solar plans. The algorithmic design used for this is modelled on the visual and optimizes the geometry to achieve maximum energy efficiency for the building form. To find solar panels suitable for the building geometry design, there is a need to model the actual effect of the sun's rays on the building. One of the key parameters that helped us reach the results of the study is to explore the possibility of using modern guidelines of exemplified stadium designs. This research is based on a method of comparing analysis between two prototype proposals tested to show the effect of the sun on geometry using parametric algorithms. In this case, \"Grasshopper 3D\" software was used for radiation, daylight hours and shadows to create parametric algorithms in the solar effect simulations process. The purpose of using parametric simulation was to increase energy efficiency for the stadium. Additionally, generative design was used for structural optimization. In this study, generative design was also used to optimize the stadium design structure, which helps to significantly reduce the amount of materials used in the formation of the structure and its costs. In this study, with the help of the Buiding Information Modelling (BIM) program used, solar energy gains affecting the building were investigated and energy gain-loss calculations were made by using environmental data. The obtained data and shell design samples were compared. In the study, Al Shaab stadium in Baghdad was evaluated as an experimental model for modelling the reality.Article Thermal Efficiency Optimization for a Natural-Gas Power Plant(2017) Balku, ŞaziyeEnergy production from fossil fuels has been regarded as the main source of the climatechange. The reason for that is the oxidation of carbon in fossil fuels to carbon dioxide duringcombustion and the highest percentage of greenhouse gases in atmosphere belongs to carbondioxide. Amongst the fossil fuels natural gas is preferred due to its low emission of greenhousegases and having no particulate matter after combustion. While the other fossil fuels emit mainlycarbon dioxide during the combustion process; natural gas emits mostly water together withcarbon dioxide. Around 22 % of the world’s electricity is produced by natural gas and this shareis expected to increase in near future. The power plants operating with natural gas as a gas cycleconsisting of a compressor, a combustion chamber and gas turbine are combined with a vaporcycle in order to increase the efficiency. A heat recovery steam generator is used to reach this aimin recent years in generating steam by the heat received from the combustion gases leaving the gasturbine. It is very important to design and operate such energy conversion systems fired by naturalgas in optimal conditions. If the efficiency can be increased, it can be said that the energetic,economic, and environmental aspects also improve. The modeling and optimization studies for acombined gas-vapor power plant are studied and the most important parameters which influencethe efficiency are determined. The results indicate that the most effective parameters from theviewpoint of efficiency are air/fuel ratio, gas/steam ratio and the pressure ratios of the compressorand, thus, the gas turbine. The thermal efficiency increases by 18.25 % and, in the meantime,the exergy destroyed decreases by 9.84 % using optimum design parameters determined by theoptimization algorithm proposed.
