Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

Browse

Filters

2011 - 201912020 - 20232

Settings

Access type: Metadata onlySubject: search.filters.subject.Energy efficiency

Search Results

Now showing 1 - 3 of 3
  • Article
    Citation - Scopus: 5
    Event Distortion-Based Clustering Algorithm for Energy Harvesting Wireless Sensor Networks
    (Springer, 2022) Al-Qamaji, A.; Atakan, B.
    Wireless sensor networks (WSNs) consist of compact deployed sensor nodes which collectively report their sensed readings about an event to the Base Station (BS). In WSNs, due to the dense deployment, sensor readings can be spatially correlated and it is nonessential to transmit all their readings to the BS. Therefore, for more energy efficient, it is vital to choose which sensor node should report their sensed readings to the BS. In this paper, the event distortion-based clustering (EDC) algorithm is proposed for the spatially correlated sensor nodes. Here, the sensor nodes are assumed to harvest energy from ambient electromagnetic radiation source. The EDC algorithm allows the energy-harvesting sensor nodes to select and eliminate nonessential nodes while maintain an acceptable level of distortion at the BS. To measure the reliability, a theoretical framework of the distortion function is first derived for both single-hop and two-hop communication scenarios. Then, based on the derived theoretical framework, the EDC algorithm is introduced. Through extensive simulations, the performance of the EDC algorithm is evaluated in terms of achievable distortion level, number of alive nodes and harvested energy levels. As a result, EDC algorithm can successfully exploit both the spatial correlation and energy harvesting to improve the energy efficiency while preserving an acceptable level of distortion. Furthermore, the performance comparisons reveal that the two-hop communication model outperforms the single-hop model in terms of the distortion and energy-efficiency. © 2021, The Author(s).
  • Conference Object
    Citation - Scopus: 1
    Daylight Performance and Lighting Energy Savings of Amorphous and Crystalline Silicon Solar Cells in an Architecture Studio
    (IEEE, 2023) Taşer, Aybüke; Kazanasmaz, Zehra Tuğçe
    Semi-transparent photovoltaic (PV) glass increased its popularity due to its energy and environmental advantages, which can generate electricity on-site and utilize natural daylight. They use thin-film solar cells to allow daylight to enter space and generate electrical energy. Crystalline and amorphous silicon (a-Si) solar cells are the most prominent in literature and industry due to their high efficiency and sufficient transparency. This study aims to assess the daylight and lighting energy-saving potential of thin-film crystalline and a-Si photovoltaic glass in an architecture studio in Izmir, Turkey. The simulation engine applied two types of solar cells on existing windows to evaluate the advantage of such glass for daylight performance and lighting energy consumption. Spatial Daylight Autonomy (sDA), a climate-based annual daylight performance metric, evaluates the daylight performance of the studio. Research findings note that such solar cells enhance the visual comfort of occupants and the daylight performance of the studio. In addition, crystalline silicon solar cells can cover the studio's whole lighting loads in the summer and fall seasons and balance them up to 66% and 23% in the spring and winter seasons, respectively. These have higher transmittance and peak power, thus; resulting in higher energy and daylight performance. © 2023 IEEE.
  • Article
    Citation - WoS: 14
    Citation - Scopus: 14
    Thermal Simulation of Retrofits To Existing Mass Housing in Turkey for Energy Efficiency
    (Sila Science, 2011) Yıldız, Yusuf; Durmuş Arsan, Zeynep
    Energy consumption in the existing residential building stock in Turkey is currently excessive. Mass housing, comprising a major portion of the officially-registered residential stock, carries enormous potential for energy savings even in the short run. This paper describes a case study in a mass housing area in Izmir, Turkey, in order to demonstrate the possibility of significant energy savings by implementing case-specific energy-efficient retrofitting scenarios and relating them with the payback periods. Building energy analysis software was used to examine thirteen scenarios consisting of various combinations of four main retrofitting options: addition of extra insulation for building envelope, replacement of existing glazing, regulation of air infiltration rate and indoor set point temperature. These scenarios revealed that annual energy savings of up to 62% are achievable and that the customer payback period for the best retrofitting scenario is 34 years.