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Buildings are responsible for almost 40% of energy consumed. It is important to supply the energy demand of the buildings by considering the comfort conditions. Decisions taken during the design process affect the energy efficiency levels of buildings. Energy simulation programs often contain timeconsuming methods. In the context of the need for faster solution methods, it is aimed to increase energy efficiency by modeling the heating and cooling loads of buildings with artificial neural networks-based methods. The 768 data sets, consisting of wall and roof areas, total height, orientation, area and distribution of glass surfaces obtained from the literature, was divided into two parts as training and testing. After, two different models were created for the calculation of heating and cooling loads with artificial neural networks. The R performance values of the models were determined as 0.99 and 0.98, respectively. The artificial neural network-based model can be used instead of simulation programs to predict building's energy demand for heating-cooling loads. [ABSTRACT FROM AUTHOR]

The increasing world population in recent years has caused a bottleneck related to nutrition. The nutritional requirement, which is the most basic need of human beings, is evolving towards an increasingly difficult process due to reasons such as, erosion, flood, and wrong agricultural practices, particularly global warming. At this point, the correct use of natural resources will both increase the productivity in agricultural practices and provide a livable nature for future generations. In recent years, efficient use of resources has also become possible with smart agricultural practices. Greenhouses are one of the areas where carried out agricultural practices based on green energy which represent natural energy resources. In this study, a greenhouse prototype is proposed automatically determined by the system of environmental conditions specific to each plant. With the energy management, the heating and electrical energy of the greenhouse was provided by green energy sources. With climate management, it has been carried out adjustment of important parameters such as humidity, temperature and ventilation by taking into account the agricultural properties of the products in the greenhouse. With the application of the study to real greenhouses, It is predicted that the products can be cheaper and expanded in greenhouse regions in our country by reducing energy costs in the long term. [ABSTRACT FROM AUTHOR]

After the industrial revolution and world wars, the rapid increase in population, urbanization, and industrialization and excessive and unconscious use of natural resources caused severe environmental problems. To prevent environmental problems, countries have developed the idea of sustainable development. Since the impact of building activities on environmental problems has a large share, studies have been carried out on new building technologies and materials for energy efficiency. Within the scope of the study, intelligent façade systems developed with the concept of sustainability were examined. Intelligent façade systems are systems that respond to changing outdoor conditions to ensure the highest level of user comfort within space and can keep energy consumption to a minimum. The study aims to investigate the levels of contribution of intelligent façade systems to sustainability. Within the scope of the study, the façade organization layouts of intelligent façade systems, the components used, and active systems integrated into the façade were investigated. After examining intelligent façade systems designed to comply with the environmental conditions, the intelligent façade systems are building energy consumption, carbon dioxide emissions, visual comfort, etc. levels of contribution to sustainable development have been evaluated. [ABSTRACT FROM AUTHOR]

The recent developments in the fast-food sector have seen tremendous developments in the food industry due to the fact that the lifestyle that is concentrated on the continuous growth of urbanization causes a change in the eating habits. In this sector, rapid cooking technologies are gaining importance in order to meet the increasing demand of kitchen equipment. For the first time in our country, convection and microwave systems in the industrial kitchen area have been achieved to work simultaneously and in different power settings specific to the type of food to be cooked. The innovative design and prototype of the innovative high-speed hybrid industrial cooking oven providing efficient cooking has been achieved with original project studies in line with international standards (EN 60335-2-25 and EN 60335-2-42). R&D studies were carried out to ensure that the innovative prototype works effectively without the hoods and to provide energy savings. In addition to contributing to the increase of knowledge in the high-speed and hybrid working direction, there is also scientific data to accelerate the introduction of an innovative hybrid industrial kitchen oven that will enable efficient cooking. [ABSTRACT FROM AUTHOR]

Turkey is dependent to imported energy around a ratio of 75%. For this reason, the proper and efficient use of renewable and also especially non-renewable resources are extremely important. Many methods have been developed by current technology in order to be able to use the energy resources more efficiently. Some of these methods are cogeneration and trigeneration systems. Trigeneration system is the systems assemblage which is set up by adding a refrigeration system to a cogeneration system. In this system, there is only one energy input and three energy outputs electricity production, heating and refrigeration. It is significantly important to increase the number of those systems in order to reduce the energy costs for Turkey. Therefore, the installation of a trigeneration system at Tunceli University, the calculation of its cost and its payback time were determined in this study. [ABSTRACT FROM AUTHOR]