An occupant-centric control framework for balancing comfort, energy use and hygiene in hot water systems: A model-free reinforcement learning approach

Heidari, Amirreza; Maréchal, François; Khovalyg, Dolaana

doi:10.1016/j.apenergy.2022.118833

Cited by 24 publications

(7 citation statements)

References 34 publications

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“…The RL-based solution is also noted for being goal-oriented and trustworthy in its ability to react to changes in a range of environment categories. Consequently, it has turned into an effective solution for power management applications that are more sophisticated than those that can be solved by the module-based approach [154].…”

Section: Rl-based Methodsmentioning

confidence: 99%

Energy management strategies of hybrid electric vehicles: A comparative review

Azim Mohseni,

Bayati,

Ebel

2023

IET Smart Grid

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With increasing environmental problems, including air pollution, rising greenhouse gases and global warming, the need to use clean energy resources seems essential. Therefore, the usage of clean and renewable energy sources is suggested as a suitable solution to overcome the mentioned concerns. The transportation section contributes to a huge percentage of energy consumption. Hybrid electric vehicles (HEVs), by combining several energy resources, are considered as a crucial solution to decrease fossil fuel consumption and improve the environmental challenges. The existence of an alternative energy resource and the internal combustion engine together provides optimal power distribution among them to maximise power usage and minimise fuel consumption. Energy management strategy (EMS) is an essential challenge in HEV's design procedure to deal with the power distribution in multiple power source systems to improve the performance of the HEVs. A review of various EMSs for HEVs, followed by an analysis of each type, including its benefits and drawbacks, is presented by the authors. In addition to this, the major challenges in EMSs for HEVs are described and a comprehensive review is presented for strategies addressing these issues.

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Section: Rl-based Methodsmentioning

confidence: 99%

Energy management strategies of hybrid electric vehicles: A comparative review

Azim Mohseni,

Bayati,

Ebel

2023

IET Smart Grid

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“…This study validated the control performance of the proposed controller in a real office, and the results showed a 13.9% reduction in building cooling load while simultaneously improving the total thermal acceptability by 11%. Heidari et al [157] presented a model-free RL based control framework aimed at optimizing several conflicting objectives of heat pump water heating systems in buildings, including water hygiene, occupants' comfort, and energy saving. This OCC framework focuses on understanding stochastic occupants' behavior to effectively optimize the said objectives.…”

Section: Advanced Occupant-centric Control (Occ) and Its Applicationsmentioning

confidence: 99%

Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings

Liu

Zhang

Sun

et al. 2023

Energy and Buildings

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“…. 2 Households A2 and C4 have central air conditioning and are unable to monitor airconditioning power, so no air-conditioning power sensors were installed. 3 The master bedroom of household A2 did not have a device installed as the data could not be accessed due to a network failure.…”

Section: Situation Of the Sample Familiesmentioning

confidence: 99%

“…With insufficient energy supply and increasing demand, China's energy situation is not optimistic. Because of the different comfort requirements and energy use habits of residents of different countries in the indoor environment, the level of building energy consumption varies significantly [2]. Residents of developed countries, such as the United States, prefer mechanically controlled indoor environments with constant temperatures and humidity.…”

Section: Introductionmentioning

confidence: 99%

“…Temperature and humidity sensor-★; human body sensor-☆; door and window senso conditioning power sensor-△ 2. Households A2 and C4 have central air conditioning an ble to monitor air-conditioning power, so no air-conditioning power sensors were insta master bedroom of household A2 did not have a device installed as the data could not b due to a network failure.…”

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confidence: 99%

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The Influence of Residential Behavior on Dwelling Energy Consumption and Comfort in Hot-Summer and Cold-Winter Zone of China—Taking Shanghai as an Example

Chen,

2023

Sustainability

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Human behavior plays a key role in building energy consumption, especially in residential buildings. Residents in the hot-summer and cold-winter zone of China tend to use energy in a “partial-time, part-of-the-space” manner. With the improvement in people’s living standards, the energy consumption of residential buildings in this region has been increasing. Exploring the building energy efficiency methods that suit the local residents’ energy use habits while ensuring building comfort levels is of great importance. This paper investigates the impact of living behavior on residential energy consumption and comfort in this region, focusing on personnel-in-room conditions, use of air-conditioning equipment, and window opening. Firstly, a questionnaire survey was conducted to analyze the energy use behaviors and the mentality of residents in the Jiangsu–Zhejiang–Shanghai Area of China. Then, based on the current situation of the household structure in Shanghai, 10 households were selected and monitored for a period of 8 months. Their energy use patterns were summarized to obtain a standard sample. Finally, the energy consumption simulation software DeST 2.0 was used to analyze the impact of each usage element on comfort and energy consumption. A dual-index evaluation of energy consumption and comfort is proposed for the first time. This paper found that respondents placed about a 6:4 important ratio on “comfort” and “energy efficiency” in their dwellings and that the importance placed on comfort increased from low-energy to high-energy households. Behaviors such as “gathering more in the living room” and “open windows as much as possible in the summer and appropriately in the winter” were more beneficial to both comfort and energy efficiency.

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An occupant-centric control framework for balancing comfort, energy use and hygiene in hot water systems: A model-free reinforcement learning approach

Cited by 24 publications

References 34 publications

Energy management strategies of hybrid electric vehicles: A comparative review

Energy management strategies of hybrid electric vehicles: A comparative review

Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings

The Influence of Residential Behavior on Dwelling Energy Consumption and Comfort in Hot-Summer and Cold-Winter Zone of China—Taking Shanghai as an Example

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