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    A Novel Peer-to-Peer Electricity Usage Rights Transfer Framework for Residential Demand-Side Management
    (Ieee-Inst Electrical Electronics Engineers Inc, 2025) Dogansahin, Kadir
    This paper presents a quota-based peer-to-peer (P2P) electricity usage rights transfer mechanism tailored for apartment-style residential consumers who do not have access to on-site energy production or storage. The framework operates under Turkey's two-tier residential electricity pricing structure, enabling users with monthly consumption below 240 kWh to transfer unused quota to over-consuming peers in exchange for financial compensation. The mechanism incorporates time-of-use (ToU) constraints, allocating transferable quota across daytime (T1), peak (T2), and nighttime (T3) periods, which encourages load shifting away from peak hours. A water fill algorithm ensures fair distribution of the limited quota among buyers, optimizing the allocation process. A case study is conducted using data from a 28-unit apartment block in Malatya, T & uuml;rkiye. Real household demographic data and monthly bills are used to synthesize hourly profiles for analysis. Simulation results reveal that under the proposed mechanism, users can reduce their electricity bills by up to 9.5% without changing total consumption-merely by shifting usage to off-peak hours. Additionally, the system-level energy cost decreased by up to 4.2%, driven by a reduction in peak-hour consumption and improved alignment with market clearing prices. These findings suggest that the method not only benefits individual consumers but also provides value to distribution system operators by lowering grid stress and energy procurement costs. Overall, the study offers a regulation-compatible, low-cost alternative to traditional demand-side management solutions and demonstrates how behavioral incentives can unlock flexibility in urban residential settings through decentralized energy cooperation.
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    Day ahead demand response model with algorithm-based consumption classification and tariff planning
    (Elsevier, 2024) Yildiz, Mustafa Sen; Dogansahin, Kadir; Kekezoglu, Bedri
    Demand Response (DR) programs effectively support the supply-demand balance in power systems. This study proposes a new Time-of-Use (ToU) tariff model, a type of price-based demand response (DR). The proposed model aims to shape the daily consumption profile of the distribution region by encouraging consumers through tariffs. Generally, in ToU demand response, various presumptions are being adopted to define consumption periods and consumer classes. It is unlikely that these presumptions are suitable for every day of the year and every consumer in the system. Achieving these definitions and classifications based on algorithms, free from human error, will increase the success and comprehensiveness of the DR program. To maximize success in this context, a deep learning model has been leveraged for day-ahead consumption forecasting. The forecasted daily consumption profile is partitioned into ToUs by using the Moving Boundary method. In addition, consumers within the region have been segmented based on the similarities in consumption behavior. Tariffs have been priced for each cluster through an optimization model that considers their participation rates in total consumption and contributions to consumption in ToU regions. The proposed model has been tested over a dataset belonging to a distribution system where different types of consumers coexist. Two sample days have been chosen as one is a weekday and the other is a weekend. The results prove that shifting consumption as encouraged by the proposed TOU method reduces consumers' costs. While, the profitability of the system operator is also preserved.
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    Renewable energy production in Artvin Çoruh University ANG Botanical Garden: Potential, application and challenges
    (Pamukkale Univ, 2025) Keskin, Adalet; Yazar, Elanur Adar; Dogansahin, Kadir
    This study evaluates the capability of renewable energy sources (wind, solar and biomass) to meet the energy needs of Artvin Coruh University Ali Nihat Gokyigit Botanical Garden. As a result of the study, it has been determined that the wind speed in the region is insufficient for electricity generation from wind energy, as 0.0845 kW/h. In the analyses performed on the PVsol environment for the potential of a PV system, it has been concluded that 256.9 MWh of energy could be generated annually. The economic analyses resulted in the payback period of the PV system being calculated as 8.8 years. It was also suggested that the annual average of 3500-5000 kg of pruning waste could be utilised by elemental analysis and incineration or used for biogas production by anaerobic digestion together with food waste (27 tonnes/year). The study aims to raise awareness for on-site energy production by using local resources and thus reducing energy costs.