Optimal day-to-day scheduling of multiple energy assets in residential buildings equipped with variable-speed heat pumps

Efkarpidis, Nikolaos; Vomva, Styliani A.; Christoforidis, Georgios C.; Papagiannis, Grigoris K.

doi:10.1016/j.apenergy.2022.118702

Cited by 17 publications

(8 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lyu et al [36] stated that the size of the central storage tank has a large influence on the efficiency of the central HP. Efkarpidis et al [37] optimised the scheduling of recharging central storage with a focus on increasing the self consumption of solar panels and reducing the total energy cost. Again, a strong correlation between the potential of a certain control strategy and the sizing used was found.…”

Section: Present Control Strategies In Collective Heatingmentioning

confidence: 99%

Grouped Charging of Decentralised Storage to Efficiently Control Collective Heating Systems: Limitations and Opportunities

et al. 2023

View full text Add to dashboard Cite

Collective heating systems have multiple end-users with time-varying, often different temperature demands. There are several concepts catering to this, e.g., multi-pipe networks and 2-pipe networks with or without decentralised booster systems. In this study, we focus on 2-pipe networks with a changing supply temperature by smart use of decentralised storage. By grouping high-temperature demands, the average supply temperature can be lowered during large parts of the day, which is beneficial for system efficiency. The actual energy-saving potential, however, can be case-specific and is expected to depend on design choices and implemented control strategies. In this paper, these dependencies are assessed and identified by implementing two optimised rule-based control strategies, providing in such a way a bench-mark for other control strategies. The results show that grouping yields energy savings of up to 36% at similar peak demand as with conventional control strategies. The energy-saving potential is greatest for large storage volumes and small networks, but large networks with large storage and proper control choices can also achieve around 30% energy savings. Moreover, high-temperature time can easily be reduced to less than 40% of the day, which could make space cooling without decentralised booster heat pumps possible, but this requires further research.

show abstract

Section: Present Control Strategies In Collective Heatingmentioning

confidence: 99%

Grouped Charging of Decentralised Storage to Efficiently Control Collective Heating Systems: Limitations and Opportunities

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Within the current loop, the current command and the real-time current data from the current sensor undergo adjustments by the current controller via PID negative feedback. The final output is relayed to the motor through a power converter, thereby setting the motor's relevant parameters [28].…”

Section: Flux Chain Equationmentioning

confidence: 99%

Research into the Beetle Antennae Optimization-Based PID Servo System Control of an Industrial Robot

Ji,

Wei,

Wang

et al. 2023

Mathematics

View full text Add to dashboard Cite

Industrial robot speed control remains a critical aspect for efficient operations, especially given the challenges of nonlinearity and multivariable characteristics inherent to servo motor control systems, as well as energy inefficiencies due to a lack of automatic speed control. This study refines an existing control algorithm, beetle antennae optimization (BAO), by integrating elements of particle swarm optimization (PSO) and a beetle antennae search algorithm (BAS), further enhanced by chaos mapping and an adaptive weighting factor. These modifications aim to improve the algorithm’s search capabilities and mitigate the risks of settling into local optima. Unlike previous iterations, this study includes rigorous dynamic and stability analyses focusing on key performance metrics such as settling time, overshoot, and steady-state error. Comparative Simulink/MATLAB modeling demonstrates that the enhanced BAO algorithm significantly outperforms traditional PID control, BAS, and adaptive weighted-PSO in reducing static error, overshoot, and adjustment time under various conditions, including scenarios with external disturbances. Our results indicate a 60% improvement in the optimization performance of speed curve metrics, confirming the enhanced efficacy and robustness of the robotic control system. This research offers valuable insights into the advantages of the refined BAO algorithm, providing a comprehensive basis for its practical application in industrial robotic control systems.

show abstract

“…As the amount of heat supply from HVAC systems changes, the room temperature can still remain stable and within a comfortable level for a long period due to the thermal inertia of the building. Among the various pieces of HVAC equipment, heat pumps have been regarded as efficient mechanical devices that produce heating energy from renewable sources such as solar energy, ambient air, geothermal energy or waste heat [28,29]. Wang et al [30] developed a new solar-airsource heat pump building energy supply system with energy storage that maintains efficient operation during extreme weather in winter and summer.…”

Section: Introductionmentioning

confidence: 99%

Operational Strategy of a DC Inverter Heat Pump System Considering PV Power Fluctuation and Demand-Side Load Characteristics

Li,

Lu,

Sun

et al. 2024

Buildings

View full text Add to dashboard Cite

With the increase in application of solar PV systems, it is of great significance to develop and investigate direct current (DC)-powered equipment in buildings with flexible operational strategies. A promising piece of building equipment integrated in PV-powered buildings, DC inverter heat pump systems often operate with strategies either focused on the power supply side or on the building demand side. In this regard, the aim of this study was to investigate the operational strategy of a DC inverter heat pump system for application in an office building with a PV power system. Firstly, the PV power fluctuation and demand-side load characteristics were analyzed. Then, a series of heat transfer and heat pump system models were developed. A reference building model was developed for simulating the performance of the system. A control logic of the DC inverter heat pump was proposed with a certain level of flexibility and capability considering both the characteristics of the PV power generation and the demand-side heating load. MATLAB/Simulink 2021 software was used for simulation. The simulation results show that the DC inverter heat pump is able to regulate its own power according to the change signal of the bus voltage such that the DC distribution network can achieve power balance and thus provide enough energy for a room. This study can provide a reference for developing flexible operational strategies for DC inverter heat pump systems. The proposed strategy can also help to improve the systems’ performance when they are applied in buildings with distributed PV systems.

show abstract

Optimal day-to-day scheduling of multiple energy assets in residential buildings equipped with variable-speed heat pumps

Cited by 17 publications

References 37 publications

Grouped Charging of Decentralised Storage to Efficiently Control Collective Heating Systems: Limitations and Opportunities

Grouped Charging of Decentralised Storage to Efficiently Control Collective Heating Systems: Limitations and Opportunities

Research into the Beetle Antennae Optimization-Based PID Servo System Control of an Industrial Robot

Operational Strategy of a DC Inverter Heat Pump System Considering PV Power Fluctuation and Demand-Side Load Characteristics

Contact Info

Product

Resources

About