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

被引:27
作者
Al-Ghaili, Abbas M. [1 ]
Kasim, Hairoladenan [2 ]
Al-Hada, Naif M. [3 ]
Jorgensen, Bo Norregaard [4 ]
Othman, Marini [1 ]
Jihua, Wang [4 ]
机构
[1] Univ Tenaga Nas, Inst Informat & Comp Energy IICE, Kajang 43000, Malaysia
[2] Univ Tenaga Nas, Coll Comp & Informat CCI, Kajang 43000, Malaysia
[3] Dezhou Univ, Inst Biophys, Elect Shandong Key Lab Biophys, Dezhou 253023, Peoples R China
[4] Univ Southern Denmark, Ctr Energy Informat, DK-5230 Odense, Denmark
关键词
Buildings; Task analysis; Monitoring; Energy consumption; Energy management; Energy management systems; Automation; Building energy management systems; building management system; energy-use prediction; energy savings; energy consumption; ARTIFICIAL NEURAL-NETWORKS; PREDICTIVE CONTROL; SMART; CONSUMPTION; PERFORMANCE; DESIGN; MODEL; HOME; OPTIMIZATION; CLASSIFICATION;
D O I
10.1109/ACCESS.2021.3075485
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 EMSs-in-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 similar to 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 averaged-energy 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.
引用
收藏
页码:63790 / 63813
页数:24
相关论文
共 153 条
[1]   Mining building performance data for energy-efficient operation [J].
Ahmed, Ammar ;
Korres, Nicholas E. ;
Ploennigs, Joern ;
Elhadi, Haithum ;
Menzel, Karsten .
ADVANCED ENGINEERING INFORMATICS, 2011, 25 (02) :341-354
[2]   Hybrid LSA-ANN Based Home Energy Management Scheduling Controller for Residential Demand Response Strategy [J].
Ahmed, Maytham S. ;
Mohamed, Azah ;
Homod, Raad Z. ;
Shareef, Hussain .
ENERGIES, 2016, 9 (09)
[3]  
Al-Ghaili Abbas M., 2019, 2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA), P243, DOI 10.1109/ICPEA.2019.8818543
[4]   A Review: Buildings Energy Savings - Lighting Systems Performance [J].
Al-Ghaili, Abbas M. ;
Kasim, Hairoladenan ;
Al-Hada, Naif Mohammed ;
Othman, Marini ;
Saleh, Muneer Aziz .
IEEE ACCESS, 2020, 8 (76108-76119) :76108-76119
[5]   A data-driven approach for multi-scale GIS-based building energy modeling for analysis, planning and support decision making [J].
Ali, Usman ;
Shamsi, Mohammad Haris ;
Bohacek, Mark ;
Purcell, Karl ;
Hoare, Cathal ;
Mangina, Eleni ;
O'Donnell, James .
APPLIED ENERGY, 2020, 279
[6]  
Allen P. A., 1986, Conference Proceedings INTELEC '86: International Telecommunications Energy Conference (Cat. No.86CH2328-3), P525
[7]  
Aman S., 2011, 2011 IEEE International Conference on Data Mining Workshops, P389, DOI 10.1109/ICDMW.2011.95
[8]  
[Anonymous], 2010, BUILDSYS
[9]  
[Anonymous], 1983, FACILITIES, V1, P8, DOI [10.1108/eb018667, DOI 10.1108/EB018667]
[10]  
[Anonymous], 1988, FACILITIES, V6, P10, DOI [10.1108/eb006443, DOI 10.1108/EB006443]