Smart building management system: Performance specifications and design requirements

Eini, Roja; Linkous, Lauren; Zohrabi, Nasibeh; Abdelwahed, Sherif

doi:10.1016/j.jobe.2021.102222

Cited by 61 publications

(38 citation statements)

References 41 publications

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“…Intelligent home systems can connect and remotely control devices and provide services by the application of smart technologies (Kim et al 2021). In an intelligent building, various technologies based on data processes are integrated to provide a high-quality, safe, secure environment for the occupants (Eini et al 2021). An intelligent healthcare system architecture within hospitals refers to a combination of radio frequency identification (RFID), wireless sensor networks (WSN), and smart mobile technologies to automatically track patients and medical devices (Yang et al 2021).…”

Section: System and Intelligent Systemmentioning

confidence: 99%

Intelligent Fangcang Shelter Hospital Systems for Major Public Health Emergencies: The Case of the Optics Valley Fangcang Shelter Hospital

Zhou

Wang

et al. 2022

J. Manage. Eng.

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Epidemics and other public health emergencies significantly impact medical and health service systems. The exploitation of some advanced technologies in Fangcang shelter hospitals-emergency medical service solutions adopted in China during the Corona Virus Disease 2019 (COVID-19) epidemic-was found to successfully relieve the treatment pressures. However, the implementation of the intelligent Fangcang shelter hospital system remains in the exploratory stage. Herein, this paper aims to obtain experience in the development and utilization of an intelligent system in a Fangcang shelter hospital. To achieve this, a single case study method was adopted to analyze a real case in the Optics Valley Fangcang Shelter Hospital. There were two data collection methods in the case study: (1) interviews; and (2) investigation, including some documents, models, sensors, and the platform. The main contribution of this paper is that it provides qualitative insights on how to implement an intelligent Fangcang shelter hospital system, including the development process and challenges and identifying lessons learned through the utilization of intelligent Fangcang shelter hospital systems. This paper can give a solid reference for the operation of COVID-19 field hospitals and provide clear theoretical guidance for the implementation and development of intelligent Fangcang shelter hospitals. This will help better respond to COVID-19 and similar major public health emergencies in the future.

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Section: System and Intelligent Systemmentioning

confidence: 99%

Intelligent Fangcang Shelter Hospital Systems for Major Public Health Emergencies: The Case of the Optics Valley Fangcang Shelter Hospital

Zhou

Wang

et al. 2022

J. Manage. Eng.

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“…Moreover, academia and research scientists need to identify the causal factors that likely to cause the spread of COVID-19 cases globally. Environmental policies should frame with regulatory authorities to monitor air quality levels and reduce air pollution levels by adopting cleaner technologies (Ahmed 2020 ), using renewable fuels (Ahmed et al 2021 ), smart building designing (Eini et al 2021 ), and the imposition of emissions-cap trading and carbon taxes (Zaman et al 2021 ). These measures would reduce smog formation and ultimately improve human health to reduce coronavirus disease incidence globally.…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

The impact of coal combustion, nitrous oxide emissions, and traffic emissions on COVID-19 cases: a Markov-switching approach

Anser

Godil

Khan

et al. 2021

Environ Sci Pollut Res

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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread to more than 200 countries with a current case fatality ratio (CFR) of more than 2% globally. The concentration of air pollutants is considered a critical factor responsible for transmitting coronavirus disease among the masses. The photochemical process and coal combustions create respiratory disorders that lead to coronavirus disease. Based on the crucial fact, the study evaluated the impact of nitrous oxide (N 2 O) emissions, coal combustion, and traffic emissions on COVID-19 cases in a panel of 39 most affected countries of the world. These three air pollution factors are considered to form a lethal smog that negatively affects the patient’s respiratory system, leading to increased susceptibility to coronavirus worldwide. The study used the Markov two-step switching regime regression model for obtaining parameter estimates. In contrast, an innovation accounting matrix is used to assess smog factors’ intensity on possibly increasing coronavirus cases over time. The results show that N 2 O emissions, coal combustion, and traffic emissions increase COVID-19 cases in regime-1. On the other hand, N2O emissions significantly increase coronavirus cases in regime-2. The innovation accounting matrix shows that N2O emissions would likely have a more significant share of increasing coronavirus cases with a variance of 33.902%, followed by coal combustion (i.e., 6.643%) and traffic emissions (i.e., 2.008%) over the time horizon. The study concludes that air quality levels should be maintained through stringent environmental policies, such as carbon pricing, sustainable urban planning, green technology advancement, renewable fuels, and pollution less accessible vehicles. All these measures would likely decrease coronavirus cases worldwide.

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“…Automatic occupants' traffic control [9,10,40] Building management system with intelligent controls [10,41,42] Asset tracking [10,41] Data gathering devices with sensor networks [10,41,42] Remote monitoring [40,43] 04. Occupancy comfort Indoor air quality [8][9][10]40] Visual comfort [8][9][10]40] Acoustic comfort [8,40,42] Thermal comfort [8][9][10]40] Smart appliances for personalized control [8,10,23] Space utilization and passive design [7,44]…”

Section: Building Automationmentioning

confidence: 99%

Developing a Scoring System to Evaluate the Level of Smartness in Commercial Buildings: A Case of Sri Lanka

Gunatilaka¹,

Abdeen

Sepasgozar

2021

Buildings

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Smart buildings (SBs) are developed in many different ways and are self-proclaimed smart. There are a great number of publications introducing smart systems using a wider range of tools and sensors. However, the level of smartness, functions of the smart system, and the usefulness of the system are not the same, which may give a wrong impression to clients or potential buyers of a building. Developing a scoring system that enables determining the overall smartness of a building is necessary. Despite the necessity, there is a dearth of studies in this area. Hence, the purpose of this study is to develop a scoring system to evaluate the level of smartness of Sri Lankan commercial buildings. Thus, initially, smart criteria were identified, defined, and categorized through a literature survey. Subsequently, 35 experts in the commercial building sector were interviewed. Finally, the relative importance of the smart criteria was derived through the AHP technique, and accordingly, a scoring system was developed. The study identified six main criteria to evaluate the smartness of buildings in the scoring system. The automation criterion with the highest relative weight was concluded to be the dominant criterion (45.59%) in the scoring system. Communication and data sharing were placed at second with a relative weight of 18.76% and indicates the importance given by the study findings in establishing the backbones of SBs. Occupants’ comfort, energy management, occupants’ health and safety, and sustainability criterion were ranked third, fourth, fifth, and sixth within the scoring system. This study is one of the first to investigate in detail the contribution of both soft and hard services of a facility in determining the overall smartness of a building. Property developers in the commercial building sector can benefit from this study by recognizing the necessary criteria to be embedded in their SB development projects in order to attract more tenants and customers.

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Smart building management system: Performance specifications and design requirements

Cited by 61 publications

References 41 publications

Intelligent Fangcang Shelter Hospital Systems for Major Public Health Emergencies: The Case of the Optics Valley Fangcang Shelter Hospital

Intelligent Fangcang Shelter Hospital Systems for Major Public Health Emergencies: The Case of the Optics Valley Fangcang Shelter Hospital

The impact of coal combustion, nitrous oxide emissions, and traffic emissions on COVID-19 cases: a Markov-switching approach

Developing a Scoring System to Evaluate the Level of Smartness in Commercial Buildings: A Case of Sri Lanka

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