Enhancing environmental and energy monitoring of residential buildings through IoT

Tanasiev, Vladimir; Pătru, George Cristian; Rosner, Daniel E.; Sava, Gabriela Nicoleta; Necula, Horia; Badea, Adrian

doi:10.1016/j.autcon.2021.103662

Cited by 36 publications

(13 citation statements)

References 10 publications

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“…In terms of data exchange, deployment and commissioning time in small and medium-sized buildings, IoT is a good choice which can further realize the connection between individuals. In the study of Tanasiev et al [116], to expand the scale of IOT monitoring solutions and reduce deployment costs, some concessions need to be made in accuracy. The proposed approach will lead to reduction in greenhouse gas emissions and also in overall reduction of power and heat usage.…”

Section: Critical Technologies To Facilitate Building Energy Flexibilitymentioning

confidence: 99%

Building energy flexibility with battery energy storage system: a comprehensive review

Luo

2022

Discov Mechanical Engineering

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Building energy flexibility (BEF) is getting increasing attention as a key factor for building energy saving target besides building energy intensity and energy efficiency. BEF is very rich in content but rare in solid progress. The battery energy storage system (BESS) is making substantial contributions in BEF. This review study presents a comprehensive analysis on the BEF with BESS, in terms of the current study statues, connection to building energy management, integration with renewable energy sources and electric vehicles. In addition, electric vehicle (EV) is found to be flexible by itself for BEF. This study delivers some new insights and findings that the synchronized aging of building and battery and complex optimization with multiple indexes, is still challenging. Additionally, the opportunities behind the challenges are also highlighted that the higher level of BEF can be achieved by tackling the higher level of system complexity. Further, the suggestions about distributed energy control for distributed energy system, as well as coupling building energy pattern with users’ behavior pattern, are also proposed. The review study may further facilitate the BEF with BESS and push forward the synergistic improvement of building energy efficiency, intensity, and flexibility.

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Section: Critical Technologies To Facilitate Building Energy Flexibilitymentioning

confidence: 99%

Building energy flexibility with battery energy storage system: a comprehensive review

Luo

2022

Discov Mechanical Engineering

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“…The nature of services with WDAG [1][2][3][4][5][6][7][8][9][10], the delay range is [1][2][3][4][5], and the communication delay is within . We tested simulation for various w which defines the priority of parameters for user and the results show our method is the best efficiency.…”

Section: Simulation Setupmentioning

confidence: 99%

“…The controller has a "co-location" relationship with a wireless sensor network (WSN) that tracks the weather in the environment and connect with the WSN to estimate the result of clouds and compute the power of light that suits the owner's need while conserving energy. [8][9][10] Running 50 billion devices and communicating among them will use a lot of energy. For devices to run at a low-power mode or to stay on power-off, researchers have offered a variety of device sleep scheduling algorithms, and another way for energy saving is to reduce network communication traffic to conserve energy.…”

Section: Introductionmentioning

confidence: 99%

Cost‐aware co‐locating of services in Internet of Things by using multicriteria decision making

Jamali

Abbasalizadeh

2021

Int J Communication

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Internet of Things (IoT) as an emerging technology is going to play a critical rule in the physical-cyber ecosystem. In this environment, sensing and actuating are considered as services for building intelligent applications. From performance point of view, a main question is how to locate these services on devices can realize a remarkable cost-efficiency and energy saving. In this paper, the goal is to specify which accompanying service with another specific service can be set on a device to optimize the energy consumption, load amount on devices, and the service response time. For this purpose, we formulate this goal as a multiobjective decision-making problem, and then we solve it by using the PROMETHEE method. In this solution, the utility of each device is determined and estimated based on entropy technique that used for computing weights for different criteria. Numerical simulation results show that the proposed co-locating algorithm, called p-co-locating, outperforms none-co-locating approach in terms of energy consumption, load amount, and the service response time.

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“…The controller is capable of maintaining a user-specified comfort temperature. 32,33 A recent study developed a system for automated live sensor data visualization of building indoor environment conditions based on environmental sensors and building information modelling (BIM). Another study describes a newly developed integrated system based on a BIM platform and the IoT that can visually detect the time and position of a case study office room experiencing levels of thermal comfort/discomfort based on the targeted thresholds.…”

Section: Iot and Controls For Hvac For Ieqmentioning

confidence: 99%

Artificial intelligence as an agent to transform research paradigms in building science and technology

Choi

Yang

Yu³

2021

Indoor and Built Environment

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Enhancing environmental and energy monitoring of residential buildings through IoT

Cited by 36 publications

References 10 publications

Building energy flexibility with battery energy storage system: a comprehensive review

Building energy flexibility with battery energy storage system: a comprehensive review

Cost‐aware co‐locating of services in Internet of Things by using multicriteria decision making

Artificial intelligence as an agent to transform research paradigms in building science and technology

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