dc.contributor.author | Duman, Anıl Can | |
dc.contributor.author | Erden, Hamza Salih | |
dc.contributor.author | Gönül, Ömer | |
dc.contributor.author | Güler, Önder | |
dc.date.accessioned | 2022-11-07T11:03:34Z | |
dc.date.available | 2022-11-07T11:03:34Z | |
dc.date.issued | 2022 | en_US |
dc.identifier.citation | Duman, A. C., Erden, H. S., Gönül, Ö., & Güler, Ö. (2022). Optimal sizing of PV-BESS units for home energy management system-equipped households considering day-ahead load scheduling for demand response and self-consumption. Energy and Buildings, 267, 112164. | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12846/673 | |
dc.description.abstract | Today, selling electricity to the grid has lost its former profitability with reduced feed-in tariff (FiT) rates. This makes it crucial for prosumers to increase self-consumption and size their photovoltaic (PV) and battery energy storage system (BESS) units accordingly. Self-consumption can be increased through demand-side management (DSM) and an efficient DSM can be achieved using home energy management systems (HEMSs). Therefore, as its main contribution, this study proposes an optimal PV-BESS sizing model for HEMS-equipped prosumers considering day-ahead load scheduling-based DSM. Unlike other studies in the literature, the proposed model takes into account the determination of optimal PV tilt angle, load scheduling of all types of controllable appliances (time-shiftable, thermostatically controllable, power-shiftable), consideration of battery degradation, and vehicle-to-home (V2H) availability in the sizing procedure. First, the mixed-integer linear programming (MILP)-based model performs demand response (DR) and increased self-consumption to minimize the daily bill. Second, it simulates one year of HEMS operation and determines the net present value (NPV) of a PV-BESS configuration over the system lifetime. Finally, it repeats the same process for each combination of PV capacity-PV tilt angle-battery number and chooses the combination with the highest NPV as the optimal design. The simulations were conducted to find the required PV-BESS capacity for a HEMS-equipped household with average daily electricity consumption of 37.5 kWh in Istanbul, Turkey. The optimal configuration was found to be 3 kW PV without BESS at the tilt angle of 10 degrees. A techno-economic sizing comparison was made between households using and not using HEMS. The NPV of PV-BESS was found to be significantly higher with HEMS use ($2273) compared with that without HEMS use ($920). Lastly, a sensitivity analysis was performed based on rising electricity prices (+25%, +50%, +75%, +100%) and declining battery prices (-25%). The use of BESS became viable in Turkey even with +25% electricity prices or -25% battery prices. (c) 2022 Elsevier B.V. All rights reserved. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.isversionof | 10.1016/j.enbuild.2022.112164 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Hybrid Energy System Sizing | en_US |
dc.subject | Home Energy Management System | en_US |
dc.subject | Demand Response | en_US |
dc.subject | Dimensionierung Eines Hybriden Energiesystems | en_US |
dc.subject | Hausenergie Management System | en_US |
dc.subject | Nachfragereduzierung | en_US |
dc.subject | Hibrit Enerji Sistemi Boyutlandırması | en_US |
dc.subject | Ev Enerji Yönetim Sistemi | en_US |
dc.subject | Talep Tepkisi | en_US |
dc.title | Optimal sizing of PV-BESS units for home energy management system-equipped households considering day-ahead load scheduling for demand response and self-consumption | en_US |
dc.type | article | en_US |
dc.relation.journal | Energy and Buildings | en_US |
dc.identifier.volume | 267 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.contributor.department | TAÜ, Fen Fakültesi, Enerji Bilimi ve Teknolojileri Bölümü | en_US |
dc.contributor.institutionauthor | Duman, Anıl Can | |
dc.contributor.institutionauthor | Gönül, Ömer | |
dc.identifier.wosquality | Q1 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.wos | WOS:000805219500001 | en_US |