A Review: Buildings Energy Savings - Lighting Systems Performance

Al-Ghaili, Abbas M.; Kasim, Hairoladenan; Al‐Hada, Naif Mohammed; Othman, Marini; Saleh, Muneer Aziz

doi:10.1109/access.2020.2989237

Cited by 29 publications

(20 citation statements)

References 65 publications

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“…In contrast, the studies from the most recent publication period list a link to decentralized system architectures (jcpm: 0.1161, time period 3). Some of the reviewed articles analyzed reinforce this trend, by highlighting the importance of individual lighting controls (e.g., occupancy-based artificial lighting control) [8,11,20,22,27,31,36] and especially decentralised control logic [26,37,44]. By using dynamically adjustable lighting scenarios, lighting conditions can be adapted to specific user requirements and preferences to improve comfort.…”

Section: From Centralisation To Decentralisationmentioning

confidence: 89%

“…System acceptance and usability [9,[20][21][22][23][24] Energy demand and the degree of automation [8,9,20,21,[25][26][27][28][29][30][31][32][33][34] Energy demand and user behaviour [8,9,11,[20][21][22][24][25][26]28,29,31,32,[35][36][37] Smart commissioning [8,22,23,25,30,32] Use of multi-objective controls and identification of the need for them [8,20,23,25,27,30,33,34,[38]…”

Section: Review Focus Associated Review Papersmentioning

confidence: 99%

“…In this context, Tabadkani et al list that most studies focus on automatic shading controls but include little to no strategy to map preferences of individual users in a shared work environment [38]. Since energy savings are largely determined by the degree of automation of the control system and system performance depends on user behaviour or acceptance [8,9,11,[20][21][22][24][25][26][27][28][29][30][31][32][33][34][35][36][37], the personal preferences and requirements of users should be taken more into account when optimising control algorithms to achieve better system performance and thus higher energy savings [23,38]. Mofidi and Akbari also therefore recommend energy management systems that combine both criteria [39].…”

Section: User Acceptance and Its Influence On System Performancementioning

confidence: 99%

See 2 more Smart Citations

Control Strategies for Daylight and Artificial Lighting in Office Buildings—A Bibliometrically Assisted Review

et al. 2021

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A significant proportion of the total energy consumption in office buildings is attributable to lighting. Enhancements in energy efficiency are currently achieved through strategies to reduce artificial lighting by intelligent daylight utilization. Control strategies in the field of daylighting and artificial lighting are mostly rule-based and focus either on comfort aspects or energy objectives. This paper aims to provide an overview of published scientific literature on enhanced control strategies, in which new control approaches are critically analysed regarding the fulfilment of energy efficiency targets and comfort criteria simultaneously. For this purpose, subject-specific review articles from the period between 2015 and 2020 and their research sources from as far back as 1978 are analysed. Results show clearly that building controls increasingly need to address multiple trades to achieve a maximum improvement in user comfort and energy efficiency. User acceptance can be highlighted as a decisive factor in achieving targeted system efficiencies, which are highly determined by the ability of active user interaction in the automatic control system. The future trend is moving towards decentralized control concepts including appropriate occupancy detection and space zoning. Simulation-based controls and learning systems are identified as appropriate methods that can play a decisive role in reducing building energy demand through integral control concepts.

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Section: From Centralisation To Decentralisationmentioning

confidence: 89%

Section: Review Focus Associated Review Papersmentioning

confidence: 99%

Section: User Acceptance and Its Influence On System Performancementioning

confidence: 99%

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Control Strategies for Daylight and Artificial Lighting in Office Buildings—A Bibliometrically Assisted Review

et al. 2021

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“…Different EMSs-in-Bs [92][93][94][95][96][97][98] have been proposed. Besides, there are many EMSs whose objectives are to increase BEE [99], reduce energy-use [100], optimize energy demand [101,102], increase occupants' comfort [103], manage operations at buildings [104,105], provide smart services for smart buildings [106][107][108][109] and many others have been reviewed and cited in this paper.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy Management Systems and Strategies in Buildings Sector: A Scoping Review

et al. 2021

Self Cite

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Energy management systems in buildings (EMSs-in-Bs) play key roles in energy saving and management to which an efficient energy management system in buildings (EMS-in-Bs) design contributes. Different scope-based designs of EMS-in-Bs are reviewed. The objective is to highlight different scope-based designs of EMS-in-Bs in which scopes of reviewed papers aim to implement a function of, for example, "monitor energy performance", "estimate energy-use", or "control energy-use". This paper aims to constitute a comprehensive conception of how efficient such an EMS-in-Bs to perform more than one scope (i.e., function). Meaning, is the proposed EMS-in-Bs able to perform several sequential functions? This paper's contribution is to give a function-focused EMS's review utilizing the scope of reviewed papers. That is, reviewed papers are classified based on the scope/function the selected EMS-in-Bs is designed for. This could help select an EMS-in-Bs to perform certain scope/function(s). Another contribution is that, numerous EMSsin-Bs are reviewed in a classified way so that the most adequate EMS-in-Bs for a certain scenario considering the performed scopes/functions e.g., "monitor" are highlighted. Findings showed that "control-optimize"functioned EMS-in-Bs achieved highest energy-saving rates ~30% compared to "estimate-predict" with 10%. Findings, insights given by reviewed studies, current problems faced, future directions, and remarks are drawn in conclusion. Analysis done on reviewed papers has found that the highest and lowest averagedenergy saving rates were obtained with papers whose their scopes are implementing "control"-with-"optimize" and "estimate"-with-"predict", respectively. Energy saving rates for these two classes of scopes have been equal to 22.57% and 10%, respectively. We recommend that there is a need to enhance the estimation-and prediction-related EMS-in-Bs to achieve a higher energy saving rate.

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“…The advantage of the proposed system is that it is expected to become widespread given the rapid penetration of IoT. For example, the spread of IoT lighting systems is expected to increase more and more for the purpose of energy saving [29,30,31,32]. However, there are trade-offs due to the use of general IoT equipment.…”

Section: ) Overall Architectuementioning

confidence: 99%

Implementation and Evaluation of Novel Architecture Using Optical Wireless for WLAN Control Plane

Shiina¹,

Tamaki

Hara

et al. 2021

IEEE Access

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We propose a novel wireless control system architecture that divides the wireless service area into smaller optical cells and centrally controls the user equipment (UE) connections under each optical cell. The proposal transmits via IoT smart lighting an optical identifier (ID) specifying connection information to the UE with illuminance sensor. The received optical ID indicates the optimum connection destination. Two solutions are proposed to overcome the hardware restrictions faced by optical ID transmission/reception. Oversampled edge-excluded receiving scheme (OE) reduces the error rate; the signal is oversampled and each window subjected to majority decision. Optical ID reception with lower error rate than conventional approach is realized with a minimum received illuminance of just 8.5 lx (background illuminance 226.67 lx) and a modulation factor of 7 %. Fast optical ID authentication (FA) reduces the authentication cycle preceding optical ID reception by performing correlation calculation between the cyclic matrix and an optical ID list. FA shortens the authentication cycle by 62.5 % (1200 ms to 450 ms). Furthermore, an optical cell control algorithm (ScanLine-based/MinDist-based) is proposed to offset the deterioration in network quality created by non-uniform UE distribution. ScanLine-based algorithm controls optical cells in scanning line manner, while MinDist-based favors optical cells with the minimum distance from the access point (AP). It is confirmed that with an optical cell radius of 5 m or less, the capacity difference per user is reduced compared to the existing RSSI-based alternative while reducing the deterioration of total capacity in extremely biased user distribution scenarios.

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A Review: Buildings Energy Savings - Lighting Systems Performance

Cited by 29 publications

References 65 publications

Control Strategies for Daylight and Artificial Lighting in Office Buildings—A Bibliometrically Assisted Review

Control Strategies for Daylight and Artificial Lighting in Office Buildings—A Bibliometrically Assisted Review

Energy Management Systems and Strategies in Buildings Sector: A Scoping Review

Implementation and Evaluation of Novel Architecture Using Optical Wireless for WLAN Control Plane

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