Sustainable Energy Grids and Networks, Journal Year: 2023, Volume and Issue: 35, P. 101113 - 101113
Published: July 28, 2023
Language: Английский
Energy and Buildings, Journal Year: 2024, Volume and Issue: 305, P. 113878 - 113878
Published: Jan. 4, 2024
Energy flexibility in buildings has the potential to reduce grid burden of neighbourhoods, yet its practical implementation remains limited. This paper presents a data-based case study from Norway, examining electricity electric vehicles, within context apartment building loads and PV generation. The results highlight significant with EVs, where EV charging can be shifted time by means shared energy management system. profiles are presented, showing how increase average use apartments factor 1.5 power 3.5 8.6. Furthermore, demonstrates KPIs optimised affected different tariffs, generation, V2G technology, location billing meters. simulated scenarios showed maximum reduction peak 45 %, while 38 % was covered confirms that residential emerges as viable frontrunner realization end-user flexibility, paving way for effective solutions real-life applications.
Language: Английский
Citations
16
Applied Energy, Journal Year: 2022, Volume and Issue: 314, P. 118877 - 118877
Published: March 17, 2022
Language: Английский
Citations
59
International Journal of Thermal Sciences, Journal Year: 2022, Volume and Issue: 182, P. 107809 - 107809
Published: Aug. 2, 2022
Language: Английский
Citations
59
Energy, Journal Year: 2022, Volume and Issue: 263, P. 126082 - 126082
Published: Nov. 12, 2022
The smart building-integrated photovoltaic (SBIPV) systems have become the important source of electricity in recent years. However, many sociological and engineering challenges caused by temporal spatial changes on demand-side supply-side remain. In this paper, barriers traditional data utilization SBIPV system causing above are summarized. Data-driven was firstly proposed, including four aspects: Data Sensing, Analysis, Prediction, Optimization. sensing goes beyond technical limitations a single measurement can build bridge between demand- supply-side. Then, response under various environmental will also clear Analysis. Prediction load supply for is basis energy management. Optimization combination trading disturbed optimization field sociology. Furthermore, perspective data-driven SBIPV, technologies models, all features to make automated operational decisions explored. -driven requiring much greater policy ambition more effort from both demand side, especially areas integration mitigation system.
Language: Английский
Citations
59
Applied Energy, Journal Year: 2022, Volume and Issue: 324, P. 119666 - 119666
Published: July 21, 2022
The electrification of heating, cooling, and transportation to reach decarbonization targets calls for a rapid expansion renewable technologies. Due their decentral intermittent nature, these technologies require robust planning that considers non-technical constraints flexibility options be integrated effectively. Energy system models (ESMs) are frequently used support decision-makers in this process. In study, 116 case studies local, ESMs systematically reviewed identify best-practice approaches model address constraints. Within the sample, storage systems sector coupling most common types flexibility. Sector with is rarely considered, specifically electric vehicles even though they could smart charging or vehicle-to-grid operation. Social aspects generally either completely neglected modeled exogenously. Lacking actor heterogeneity, which can lead unstable results optimization models, addressed through building-level information. A strong emphasis on cost found while emissions also reported, additional metrics such as imports share generation nearly entirely absent. To guide future modeling, paper concludes roadmap highlighting robustness represent low-hanging fruit have large impact results.
Language: Английский
Citations
47
Advances in Applied Energy, Journal Year: 2022, Volume and Issue: 5, P. 100088 - 100088
Published: Feb. 1, 2022
On the way towards Net Zero and considering new disruptive technologies may not be ready at scale in near term, we investigated role that electrifying local energy systems (LES) could play via coordination across electricity, heating, transport, buildings sectors. A representative case Wales was as UK recently set a near-term target to reduce 78% emissions compared 1990 levels by 2035. To do so, firstly developed model simulate whether an electrified LES achieve emission target. Then, optimization address induced significant increment of peak demand. The study revealed decarbonizing heating sector is vital challenging based on current initiatives while greater effort least 46% residence installing heat pumps needed Compared existing level, electricity demand after electrification would more than tripled without flexibility. In contrast, only less doubled with Overall, through proposed two models, this demonstrates feasible solution deep decarbonization further implies flexibility key huge cost-saving potential upgrading networks.
Language: Английский
Citations
46
Applied Energy, Journal Year: 2022, Volume and Issue: 324, P. 119723 - 119723
Published: July 30, 2022
This study presents a comprehensive multi-objective optimization approach for dual HESS-based electric vehicle (EV) powertrain using the interactive adaptive-weight genetic algorithm (i-AWGA) method. The HESS EV concept aims to show benefits of combining independent traction systems powered by their respective energy sources. Therefore, main purpose this is simultaneously maximize driving autonomy and battery lifespan minimize size, considering design variables from components such as batteries, motors, differential, ultracapacitors. At same time, three fuzzy logic controllers – which perform power management control between hybrid storage are likewise optimized, tuning parameters according applied constraints. best trade-off solution, equipped with 332.34 kg mass, achieved range 285.56 km front life cycle 36585 h. As compared similar single optimized under conditions, improved ratio system’s overall mass 3%, reaching 19.57% longer, increasing up 22.88%.
Language: Английский
Citations
41
Energy and Buildings, Journal Year: 2022, Volume and Issue: 278, P. 112606 - 112606
Published: Oct. 31, 2022
Language: Английский
Citations
39
Applied Energy, Journal Year: 2022, Volume and Issue: 328, P. 120182 - 120182
Published: Oct. 28, 2022
Language: Английский
Citations
38
Applied Energy, Journal Year: 2023, Volume and Issue: 347, P. 121500 - 121500
Published: June 30, 2023
Electrification of private transportation and residential heating is a potential action to decrease significantly carbon emissions. However, the lack coordination such emerging loads can increase stress on power distribution grid. To this end, paper proposes two-stage energy management strategy, enhance flexibility communities. First, an optimization algorithm-based model predictive control (MPC) developed for home systems (HEMS) schedule electric vehicles (EVs) charging discharging in cooperation with heat pump thermal storages. The objective reduce electricity bills EV battery degradation costs while maintaining demand. Second, based nonlinear AC optimal flow approach applied grid under community system scheme. validate performance proposed method, we develop co-simulation framework by implementing algorithm simulation scenarios Python Environment modelling PowerFactory-DIgSILENT, which are linked together. Extensive numerical simulations carried out active demand response program-based hourly pricing different weather data Sweden. results show that method operating community. Moreover, it prevent load-shedding events compared non-predictive coordinated method.
Language: Английский
Citations
34