Uncertainty modeling of household appliance loads for smart energy management

Wang, Yu; Fu, Yu; Lin, Haiyang; Sun, Qiang; Scartezzini, Jean-Louis; Wennersten, Ronald

doi:10.1016/j.egyr.2021.11.097

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…The coal consumption reduction is recorded as indirect income, which is shown as Eq. ( 11) and (12).…”

Section: Key Performance Indicatormentioning

confidence: 99%

“…A particular whole-day demand curve [12], as illustrated in Fig. 1, is taken into consideration as the load shifting case study in order to assess the CCES system's performance for load shifting.…”

Section: Case Studymentioning

confidence: 99%

“…Fig. 1 The electricity load for the case study [12] The electricity price can be considered the most effective element to encourage the participant to load shift [13]. The electricity price used in the paper is shown in Fig.…”

Section: Case Studymentioning

confidence: 99%

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The economic performance of a compressed CO2 energy storage system for load shifting

Huang,

Feng,

Gao

et al. 2023

Preprint

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With the features of large-scale and long-term energy storage, compressed CO2 energy storage (CCES) represents an efficient way to achieve load shifting and reduce fluctuations of electricity load. Therefore, the economic performance of a CCES system for load shifting was assessed in this paper. The two optimization modes, i.e., single-objective and multi-objective optimization, were proposed to determine the CCES operation. The reduction of load variance is the sole objective of singleobjective optimization. In the case of multi-objective optimization, the objective is to maximize CCES system income while minimizing load variation. According to the simulation findings, the load variance can be decreased from its original value of 8725.4 to 678.5 in the singleoptimization outcome, and the CCES system can generate an income of 49.6 kUSD. The Pareto optimality in the multi-objective optimization demonstrates a negative correlation between the variation of the load and the income of the CCES system.

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“…The coal consumption reduction is recorded as indirect income, which is shown as Eq. ( 11) and (12).…”

Section: Key Performance Indicatormentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

See 1 more Smart Citation

The economic performance of a compressed CO2 energy storage system for load shifting

Huang,

Feng,

Gao

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…And the development of smart cities cannot be achieved without efficient energy services. Residential customers as the main users of electrical energy, have a strong influence on electricity demand due to the randomness of their household activities and the flexibility of their appliance usage patterns (Wang et al, 2022). The promotion and application of smart control systems based on energy monitoring, management, and data analysis play a crucial role in optimizing energy utilization and providing personalized recommendations (Alsaigh et al, 2023;Paneru and Tarigan, 2023).…”

Section: Transitioning Towards Smart Energymentioning

confidence: 99%

Research on energy consumption in household sector: a comprehensive review based on bibliometric analysis

Wang,

Zhao,

Gao

et al. 2024

Front. Energy Res.

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Households are an important sector in carrying out human development activities, accounting for more than 30% of the total global energy consumption. The continued growth of household energy consumption (HEC) and carbon emissions is threatening economic and environmental sustainability. This review focuses on the research in the field of HEC and conducts a bibliometric analysis of research articles from the Web of Science Core Collection since 2000. The results show that: 1) HEC research has undergone rapid development since 2014, and interdisciplinary fusion and collaborative research have become dominant trends. 2) Keyword co-occurrence analysis clearly identifies the current urgent themes, including energy demand and its determinants, environmental impact factors and assessments, and energy-saving technologies and emission reduction measures. 3) The analysis of citations reveals that economic models, such as input-output models and life cycle assessment, are frequently employed in the field of HEC. Based on a summary of household energy-saving and emissions reduction work, this paper critically discusses the limitations of existing measures such as smart home technology, sustainable energy systems, and behavioral interventions. The main directions for promoting household energy-saving development in the future are identified: including improving the security and customer engagement of smart home technology, focusing on the availability and stability of sustainable energy, and paying more attention to low-income and aging households in behavioral intervention measures. One of the important obstacles facing research is how to reduce energy management efficiency and usage costs through technology and policy.

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Uncertainty modeling of household appliance loads for smart energy management

Cited by 2 publications

References 6 publications

The economic performance of a compressed CO2 energy storage system for load shifting

The economic performance of a compressed CO2 energy storage system for load shifting

Research on energy consumption in household sector: a comprehensive review based on bibliometric analysis

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