Browsing by Author "Ozgener, Leyla"

Now showing 1 - 3 of 3

Citation - Scopus: 12
A review of earth contact heating/cooling systems and a comparison of ground source heat pumps and earth air heat exchangers
(Elsevier Ltd, 2024) Selen Cekinir; Leyla Ozgener; Ozgener, Leyla; Cekinir, Selen
Countries should reduce greenhouse gas emissions and increase energy efficiency in alignment with the Paris Agreement and the European Green Deal. The adoption of environmentally friendly and low-energy systems such as passive heating and cooling technologies can significantly contribute to achieving this goal. The study covers the examination of new technologies ready for commercialization economic developments to increase accessibility scale-up of production to reduce costs and notable case studies comparing ground source heat pump (GSHP) systems to solar building systems powered by earth-to-air heat exchangers (EAHE). © 2025 Elsevier B.V. All rights reserved.
Citation - WoS: 4
Citation - Scopus: 5
A study on heating and cooling requirements for green buildings and refugee settlements
(Inderscience Publishers, 2022) Selen Cekinir; Onder Ozgener; Leyla Ozgener; Ozgener, Leyla; Cekinir, Selen; Ozgener, Onder
In this study geothermal-based three different systems are examined comparatively and a decision-making method is used to find the best option to use in refugee settlements. Earth air heat exchanger (EAHE) vertical ground source heat pump (VGSHP) and horizontal ground source heat pump (HGSHP) are evaluated from the viewpoint of environmental impact performance economy and health. This study is the first study related to the evaluation of EAHE and GSHP systems by using the analytical hierarchy process (AHP). It is concluded that EAHE is the best option for refugee settlements, also EAHE is a healthier option for the COVID-19 pandemic. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 12
Citation - Scopus: 12
T?rkiye?s energy projection for 2050
(ELSEVIER, 2022) Selen Cekinir; Onder Ozgener; Leyla Ozgener; Ozgener, Leyla; Cekinir, Selen; Ozgener, Onder
In this study Turkiye's energy projection has been evaluated based on four different scenarios for 2050. Firstly Turkiye's electricity production amount in 2050 has been predicted by using an artificial neural network model in MATLAB. According to the prediction it has been revealed that to what extent which scenario can meet this production value. While doing this it has been considered whether Turkiye could meet its energy needs independently by using only its own resources. Then it has been determined how much production increase should be required for each domestic resource by 2050 to meet 100% of the need in each scenario. Also these scenarios have been evaluated and it has been decided which one is more important for energy independence and which one is more important for emission decrease. This is the first study that makes both an energy prediction for 2050 and reveals whether Turkiye could achieve its energy targets and what needs to do to achieve it. This study aims to be a guide for determin-ing Turkiye's energy policies. (c) 2022 Elsevier Ltd. All rights reserved.