Operation planning method for home air-conditioners considering characteristics of installation environment

Kuroha, Ryoichi; Fujimoto, Yu; Hirohashi, Wataru; Amano, Yoshiharu; Tanabe, Shin‐ichi; Hayashi, Yasuhiro

doi:10.1016/j.enbuild.2018.08.015

Cited by 10 publications

(4 citation statements)

References 26 publications

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“…Reproduced from [107], Elsevier: 2018. Kuroha et al (2018) [108] presented an operational planning model for residential air conditioners. In this study, the focus was on automatic air conditioners for thermal comfort improvement and electricity cost reduction.…”

Section: (A)mentioning

confidence: 99%

State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

et al. 2019

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Machine learning (ML) models have been widely used in the modeling, design and prediction in energy systems. During the past two decades, there has been a dramatic increase in the advancement and application of various types of ML models for energy systems. This paper presents the state of the art of ML models used in energy systems along with a novel taxonomy of models and applications. Through a novel methodology, ML models are identified and further classified according to the ML modeling technique, energy type, and application area. Furthermore, a comprehensive review of the literature leads to an assessment and performance evaluation of the ML models and their applications, and a discussion of the major challenges and opportunities for prospective research. This paper further concludes that there is an outstanding rise in the accuracy, robustness, precision and generalization ability of the ML models in energy systems using hybrid ML models. Hybridization is reported to be effective in the advancement of prediction models, particularly for renewable energy systems, e.g., solar energy, wind energy, and biofuels. Moreover, the energy demand prediction using hybrid models of ML have highly contributed to the energy efficiency and therefore energy governance and sustainability.

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Section: (A)mentioning

confidence: 99%

State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

et al. 2019

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“…[21] initiated a novel approach for managing the energy efficiency of office space HVAC systems through real-time big data analytics. In addition, another study [22] proposed a method for planning the operation for a home air conditioner, considering the nature of the installation environment by using a home energy management system (HEMS) to automatically control home appliances.…”

Section: Prior Research On Offices and Residential Buildingsmentioning

confidence: 99%

Oversized Electrical Appliance Impacts on Condominium Energy Efficiency and Cost-Effectiveness Management: Experts’ Perspectives

Buranaaudsawakul

Wisaeng

2021

ASI

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A direct use approach incorporating a cost approach assumed that replacing oversized electrical appliances with those better fit to actual energy consumption can reduce energy consumption, optimizing capacities of the new appliances to the maximum while reducing electricity costs. This study aimed to verify the assumption that the size of appliances has impacts on energy consumption and cost effectiveness. A mixed-method approach included these instruments for data elicitations (i.e., a questionnaire, data records of 485 transformers, two assessments of condominium technical caretakers, and two in-depth interviews of electrical engineering experts). The findings revealed that most condominiums installed electric appliances that are too large for their actual energy usage, which lies between 5.4% and 7.1% of the capacity. This study therefore proposed a total cost reduction of 54% by downsizing these appliances (i.e., MV Switchgear 2 sets, dry type transformer 2 sets 80,000, LV Cable 10 m. (XLPE), main distribution board, Busduct (MDB-DB), generator (20% of Tr.), and generator installation). Even though this analysis is limited to Bangkok, Thailand, this case may contribute decision-making on electrical appliance selection at early stage of investment or to downsize the currently installed appliances for the more energy efficient and cost-effective management of condominiums around the world.

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“…From the viewpoint of individual consumers, the main objectives of demand-side EMS might be to secure the benefit of the consumer and to avoid violation of constraints caused by the convenience of the consumer. Many works have addressed the issues under the condition that PV systems are highly penetrated in most of residential households, and they discussed the effective operation of energy appliances, such as BESSs [60,148], heating, ventilating, air-conditioning systems [149][150][151][152][153][154], FC-CGSs [155][156][157][158][159][160], HPWHs [161], EVs [162][163][164][165][166] and other home appliances, through home energy management systems (HEMSs) to reduce the energy operational cost [167][168][169][170][171][172]. These various types of EMSs become essential components of the whole smart city [173].…”

Section: Control Targets Of Emss An Objective Of Emssmentioning

confidence: 99%

Designing Sustainable Smart Cities: Cooperative Energy Management Systems and Applications

Fujimoto

Ishii

Hayashi

2020

IEEJ Transactions Elec Engng

Self Cite

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Smart cities will be an important component for the construction of a sustainable future society. This paper focuses on the functionalities of smart cities from the perspective of electric power systems and reviews recent works on the various types of energy management systems (EMSs), particularly those focusing on the interaction among systems distributed in a city. Furthermore, this paper describes the idea of a platform for evaluating cooperative EMS technologies distributed in a city. The related research and demonstration of the EMS technology in real cities that were evaluated using the proposed platform are presented. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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Operation planning method for home air-conditioners considering characteristics of installation environment

Cited by 10 publications

References 26 publications

State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

Oversized Electrical Appliance Impacts on Condominium Energy Efficiency and Cost-Effectiveness Management: Experts’ Perspectives

Designing Sustainable Smart Cities: Cooperative Energy Management Systems and Applications

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