Systematic Mapping Study on Energy Optimization Solutions in Smart Building Structure: Opportunities and Challenges

Aliero, Muhammad Saidu; Qureshi, Kashif Naseer; Pasha, Muhammad Fermi; Ghani, Imran; Yauri, Rufai Aliyu

doi:10.1007/s11277-021-08316-3

Cited by 17 publications

(17 citation statements)

References 86 publications

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“…A record of 193 participants participated in the study, and 665 surveys were gathered in total since some participants filled out the survey more than once, depending on the number of days the survey was open at each school (Table 2). All of the kids that participated in the study were 11 years old [15]. the participant answer is based on the ASHRAE scale presented in Figure 1.…”

Section: Measurement Strategymentioning

confidence: 99%

Evaluating energy consumption, indoor air quality, and student productivity

Baba-Girei¹,

Yahaya²,

Martins³

2022

World J. Adv. Res. Rev.

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Smart energy conservation research is gaining traction in a variety of industries throughout the world. The current research is projected to cut energy consumption in the construction sector, which has already reached 49% globally and is expected to rise by 2% annually, costing millions of dollars per month. Balancing energy savings with thermal satisfaction is a current difficulty, as most researchers have concentrated on attaining energy savings without reaching the thermal contentment of the occupant, which could pose a health risk to both young and old occupants. To address the problem, we conducted empirical studies with 193 participants in the Northern part of Nigeria, where they were exposed to an indoor temperature of 22°C to determine their thermal environment, choice and comfort votes, viewed and favored control, and overall thermal satisfaction, which will help calculate and define the unused thermal satisfaction thermostat and later.

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Section: Measurement Strategymentioning

confidence: 99%

Evaluating energy consumption, indoor air quality, and student productivity

Baba-Girei¹,

Yahaya²,

Martins³

2022

World J. Adv. Res. Rev.

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“…In general, the researchers point out that lengthy surveys have a high rate of non-negligible mistakes [9]. Surveys, on the other hand, can be a useful tool when used in conjunction with monitoring initiatives [1,2]. As a result, mixed methods research might be a useful tool for measuring occupant behavior and gaining qualitative occupant viewpoints [10].…”

Section: Related Workmentioning

confidence: 99%

“…The construction industry accounts for a considerable portion of worldwide energy usage. This percentage varies by country, but it reaches around 40% throughout Europe [1]. The significance of occupant behavior in building energy performance has been a topic of great interest in the research world [2].…”

Section: Introductionmentioning

confidence: 99%

Detecting occupancy behaviour of buildings through environment monitoring sensing

Yahaya¹,

Usman²,

Uwa³

2022

World J. Adv. Res. Rev.

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The goal of this research is to produce a realistic occupancy forecast as well as an ideal occupancy-based controller for increasing the performance of Heating Ventilation and Air-Conditioning [HVAC] systems. Reliable occupancy prediction is a critical enabler for demand-based HVAC control since it ensures that the HVAC system is not running unnecessarily while a room or zone is empty. We present simple yet successful occupancy prediction methods, as well as an approach for automatically setting temperature set-points, in this work. We present three alternative occupancy prediction algorithms based on historical occupancy measurements. The proposed approach uses historical occupancy profile and environmental room data to establish an occupancy identity strategy that can provide a stochastic model based on uncertain basis functions as an alternative. According to the findings, the proposed occupancy prediction algorithms could reach an accuracy of approximately 85% reliable prediction with few negative predictions.

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“…This study provides an in-depth critical review of the literature on SBEMS in terms of research strategies, technologies, and constraints affecting its overall functionality and operation. The study follows the guideline presented by [24,25] for conducting a systematic literature review. It also discusses the research challenges and opportunities in the field of SBEMS.…”

Section: Introductionmentioning

confidence: 99%

Systematic Review Analysis on Smart Building: Challenges and Opportunities

et al. 2022

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Smart building technology incorporates efficient and automated controls and applications that use smart energy products, networked sensors, and data analytics software to monitor environmental data and occupants’ energy consumption habits to improve buildings’ operation and energy performance. Smart technologies and controls are becoming increasingly important not only in research and development (R&D) but also in industrial and commercial domains, leading to a steady growth in their application in the building sector. This study examines the literature on SBEMS published between 2010 and 2020 with a systematic approach. It examines the trend with the annual number of the published studies before exploring the classification of publications in terms of factors such as domain of SBEMS, control approaches, smart technologies, and quality attributes. Recent developments around the smart building energy management systems (SBEMS) have focused on features that provide occupants with an interface to monitor, schedule, and modify building energy consumption profiles and allow a utility to participate in a communication grid through demand response programs and automatic self-report outage functionality. The study also explores future research avenues, especially in terms of improvements in privacy and security, and interoperability. It is also suggested that the smart building technologies’ smartness can be improved with the help of solutions such as real-time data monitoring and machine learning

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Systematic Mapping Study on Energy Optimization Solutions in Smart Building Structure: Opportunities and Challenges

Cited by 17 publications

References 86 publications

Evaluating energy consumption, indoor air quality, and student productivity

Evaluating energy consumption, indoor air quality, and student productivity

Detecting occupancy behaviour of buildings through environment monitoring sensing

Systematic Review Analysis on Smart Building: Challenges and Opportunities

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