A Review on Building Energy Savings Strategies and Systems (BE3S)

Al-Ghaili, Abbas M.; Kasim, Hairoladenan; Othman, Marini; Jôrgensen, Bo Nørregaard; Hassan, Zainuddin

doi:10.1109/icpea.2019.8818543

Cited by 4 publications

(1 citation statement)

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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

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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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Section: Literature Reviewmentioning

confidence: 99%

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

et al. 2021

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A Preliminary Analysis of Energy Consumption in Academic Buildings

Dzulkifly

Hou

Aris

et al. 2020

IOP Conf. Ser.: Earth Environ. Sci.

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Current technological advancement and pressing environmental issues emphasise the need for better energy management to minimise wasting depleting resources. Energy consumption can generally be divided into two, namely residential and commercial. Commercial energy consumption involves commercial buildings that include, but not limited to, banks, hotels, offices and academic buildings. While awareness on optimising energy use is more evident now, there is still a lack of understanding of the parametric values that are crucial in analysing the energy consumption of a commercial building that is unique to the building’s function. This study aims to identify the relationships between a number of identified variables and the overall building energy consumption. The study intended to become the preliminary case study in identifying the correlations between selected variables and energy consumption. The analysis was carried out using covariance matrix on identified variables such as electricity consumption, user traffics, the maximum outdoor temperature of the month and the academic term. This study identified positive relationships between electricity consumption, user traffic, and maximum outdoor temperature.

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