Electric Energy Management in Buildings Based on the Internet of Things: A Systematic Review
Abstract
:1. Introduction
2. Methodological Approach
2.1. Planning
- Q1:
-
What are the factors influencing electricity consumption in buildings?
- Q2:
-
What are the elements related to the energy management process?
- Q3:
-
How is the determination of electricity consumption data in buildings carried out?
- Q4:
-
Which indicators are used for monitoring electric energy management in buildings?
- Q5:
-
What is the application of the Internet of Things in energy management?
Criterion | Description |
---|---|
Inclusion | (a) Studies dealing with energy consumption, consumption factors, energy indicators, energy monitoring, Internet of Things, and energy management, in the context of electrical energy in buildings. |
(b) Studies that present best practices, case studies, processes, techniques, standards, and tools related to the management of electrical energy in buildings. | |
(c) Studies dealing with technologies, protocols, applications, and architectures related to the Internet of Things in the context of monitoring or managing electrical energy in buildings. | |
Exclusion | (a) Studies that are irrelevant to the research according to the guiding questions, i.e., that do not answer the guiding questions. |
(b) Repeated studies, i.e., the same study is available in different search sources. | |
(c) Studies that present incomplete content and inconclusive results, i.e., low-quality works. |
2.2. Search
-
article-type papers;
-
published in the last twelve years (from 2011 to 2022);
-
restricted to the article title, abstract, and keywords;
-
published in the English language; open access; and
-
aligned with the research questions and with the inclusion criteria (Table 1).
2.3. Screening
2.4. Content Analysis
Analysis | Method | Content | Source |
---|---|---|---|
Bibliometric | Analysis of key information | Publications over time Nature of the approach Scientific methodology used Study application |
Authors |
Citation analysis | Most productive countries Most relevant journals Most cited articles (global) Keywords |
Aria and Cuccurullo [46] Zupic and Cater [45] |
|
Co-citation analysis | Author co-citation network | ||
Co-word analysis | Co-occurrence network of author keywords Authors’ keyword concept map |
||
Thematic | Categorization | Energy consumption factors Stages of the energy management process Energy consumption data Energy consumption indicators IoT consumption measurement IoT consumption monitoring Decision-making assessment |
Authors |
3. Results
3.1. Bibliometric Analysis
3.2. Thematic Analysis
3.2.1. Electricity Consumption Factors
3.2.2. Elements of the Energy Management Process
3.2.3. Determining Electric Power Consumption
Author | Strategy * | Technical ** | Building *** | Goal | Author | Strategy * | Technical ** | Building *** | Goal |
---|---|---|---|---|---|---|---|---|---|
Muzi, De Lorenzo, and De Gasperis [19] | DP | 1 | C | Demand forecasting model for electric energy demand | Marinakis and Doukas [60] | DR | 7 | C | Develop a system that increases the interactivity of energy management systems |
Zorita et al. [10] | DP | 1 | E | Energy consumption forecasting model | Capozzoli et al. [17] | DR | 5 | F | Propose methodology for characterizing consumption and identifying anomalous energy patterns |
Brema and Abraham [64] | DP | 2 | E | Methodology for energy efficiency strategies | La Puente-Gil et al. [13] | DR | 5 | E | Method for clustering buildings based on electrical energy consumption |
Fichera et al. [51] | DP | 4 | F | Decision-making method for urban energy strategies | Vardakas et al. [20] | DR | 7 | F | Propose a co-operative energy management system considering a group of buildings |
Xu et al. [54] | DP | 2 | C | Energy consumption analysis for performance optimization | Esmaeil, Alshitawi, and Almasri [11] | DR | 5 | B | Analyze consumption patterns, establish indicators, and evaluate the performance of different consumption factors |
Hirvonen et al. [72] | DP | 2 | B | Analysis of energy retrofit processes in relation to energy demand | Kott and Kott [80] | DR | 5 | B | Analyze energy consumption for energy management system ontology application |
Hafeez et al. [15] | DP | 3 | B | Method for managing the energy use of smart appliances | Garca-Sanz-Calcedo, Gomez-Chaparro, and Sanchez-Barroso [63] | DR | 5 | E | Analyze the correlation between energy consumption and health activities and propose consumption indicators |
Verma, Prakash, and Kumar [57] | DP | 3 | B | Building management system based on artificial intelligence | Dell’isola et al. [7] | DR | 7 | B | Investigate the problem of monitoring consumption through a feedback strategy |
Nie et al. [73] | DP | 1 | B | Electricity consumption forecasting model | Chen and Lin [8] | DR | 7 | B | Analyze demand-side energy management system model |
Tabrizchi, Javidi, and Amirzadeh [75] | DP | 3 | B | Electricity consumption forecasting model | Lin [9] | DR | 8 | B | Analyze demand-side energy management system model |
Ananwattanaporn et al. [2] | DP | 2 | B | Retrofit analysis of existing buildings | Tientcheu, Chowdhury, and Olwal [55] | DR | 7 | A | Propose an intelligent system to improve the building’s energy savings |
Edwards, Iyare, and Moseley [12] | DR | 5 | A | Compare energy consumption to determine energy efficiency | Razak and Tan [18] | DR | 5 | C | Analyze the energy consumption and its relation to the occupancy of the building |
Mulville, Jones, and Huebner [49] | DR | 6 | A | Analyze consumption through feedback and benchmarking processes | Batlle et al. [16] | DR | 5–6 | C | Analyze the consumption profile to define energy baselines |
Moreno et al. [6] | DR | 8 | F | Analyze energy efficiency through intelligent building management system | Alhasnawi et al. [4] | DR | 8 | B | Analyze demand-side energy management system model |
Gul and Patidar [59] | DR | 5 | C | Analyze electricity demand profiles and user activities | Hamouda and Dwedar [76] | DR | 8 | B | Analyze demand-side energy management system model |
Chang et al. [68] | DR | 7 | A | Implement an IoT access point where devices can access the Internet | Abbas [56] | DR | 5 | A | Investigate the building’s energy conservation potential |
Al-Ali et al. [53] | DR | 8 | B | Propose an energy management system to monitor consumption and control household appliances | Ghajarkhosravi et al. [74] | DR | 5 | A | Perform energy benchmarking, develop indicators, determine performance rating |
Mahapatra, Moharana, and Leung [67] | DR | 8 | A | Propose an energy management system to control the use of household appliances | Jurj et al. [77] | DR | 5–6 | C | Propose a data-cleansing process in order to improve the quality of the baseline data |
Ouf and Issa [61] | DR | 5 | D | Evaluate the energy consumption of buildings against other historical benchmarks | Albatayneh [58] | DR | 6 | B | Determine and analyze energy consumption by building end use |
Bastida-Molina et al. [81] | DR | 5 | C | Electricity consumption analysis methodology based on electricity indicators and standards |
3.2.4. Electric Energy Management Indicators
3.2.5. IoT Application across Energy Management
Author(s) | Types of Measurement | Characteristics of the IoT Architecture | |||
---|---|---|---|---|---|
Data Capture | Communication Structure | Data Processing | Monitoring and Interfacing | ||
Alhasnawi et al. [4] | -Sub-metering (equipment) |
-Sensors | -MQTT -Wi-Fi |
-Cloud -Node-Red platform -Python |
-Web system -Node-Red platform |
Dell’isola et al. [7] | -Measurement (building) -Sub-metering (equipment) |
-Smart meter | -Wi-Fi -ZigBee |
-Web system | -Web system |
Chen and Lin [8] | -Sub-metering (equipment) | -Smart meter | -HTTP | -Cloud -Edge (gauge) |
-Web system (ThingSpeak platform) |
Lin [9] | -Sub-metering (equipment) |
-Sensors | -HTTP | -Cloud -Edge (devices) |
-web system (ThingSpeak platform) |
Moreno et al. [6] | -Measurement (rooms) -Sub-metering (equipment) |
-Sensors | -IP -HTTP -ZigBee -Bluetooth |
-Brim (automation module) |
-Automation module developed |
Hafeez et al. [15] | -Sub-metering (equipment) |
-Smart meter -Smart devices |
-Wi-Fi -ZigBee, -HomePlug -Z-Wave |
-Cloud | -Simulation -AI-based systems |
Benavente-Peces [3] | -Measurement (buildings) -Sub-metering (building systems) |
-Sensors | -MQTT (and others) -Wi-Fi -Bluetooth -ZigBee -RFID -NBIoT |
-Cloud | -AI-based systems |
Hamouda and Dwedar [76] | -Measurement (buildings) |
-Smart meter | -MQTT -Wi-Fi |
-Edge (developed prototype) | -IoT system (developed prototype) |
Vardakas et al. [20] | -Measurement (buildings) |
-Smart meter | -IEEE 802.11s | -Cloud | -Cloud-based iot platform |
Shareef et al. [66] | -Measurement (buildings) -Sub-metering (equipment) |
-Intelligent sensors -Smart meter |
-Wi-Fi -Bluetooth -ZigBee |
-Cloud -Brim -Java/Python/HTML |
-HEMS and DR programs -AI-based controllers |
Marinakis and Doukas [60] | -Measurement (buildings) |
-Sensors -Historical data |
-Semantic web | -Cloud -Java/Python (modules) |
-Web system |
Mahapatra, Moharana, and Leung [67] | -Measurement (buildings) -Sub-metering (equipment) |
-Smart meter -Sensors |
-MQTT -Wi-Fi |
-Edge (microcont) -Python (algorithm) |
-Node-Red (local) platform |
Al-Ali et al. [53] | -Sub-metering (equipment) |
-Sensors | -MQTT |
-Cloud -Javascript |
-Web system |
Chang et al. [68] | -Sub-metering (equipment) |
-Common meter | -Wi-Fi -ZigBee |
-Edge (gauge) | -Local comput. |
Liaqat et al. [78] | -Measurement (buildings) -Sub-metering (equipment) |
-Smart meter -Sensors |
-5G | -Cloud -Edge (gauge) |
-Web system (utility) |
Khan [79] | -Sub-metering (equipment) |
-Sensors | -MQTT | -Cloud | -IoT application |
3.3. Conceptual Framework
4. Discussion
5. Conclusions
5.1. Academic and Practical Implications
5.2. Research Limitations and Future Directions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Appendix A
SEARCH STRINGS—Keyword Combination | Database | |
---|---|---|
Language: English, Period: Last 12 Years, Type: Article—Title, Abstract, Keywords | SCOPUS | IEEE |
(indicators) AND (“electrical energy”) AND (“energy consumption”) AND (building) | 19 | 1 |
(indicators) AND (“electrical energy”) AND (“energy consumption”) AND (“intelligent building”) | 0 | 0 |
(indicators) AND (“electrical energy”) AND (“energy use”) AND (building) | 5 | 0 |
(indicators) AND (“electrical energy”) AND (“energy use”) AND (“intelligent building”) | 0 | 0 |
(indicators) AND (“electrical energy”) AND (“energy utilization”) AND (building) | 15 | 0 |
(indicators) AND (“electrical energy”) AND (“energy utilization”) AND (“intelligent building”) | 0 | 0 |
(monitoring) AND (“electrical energy”) AND (“energy consumption”) AND (building) | 31 | 2 |
(monitoring) AND (“electrical energy”) AND (“energy consumption”) AND (“intelligent building”) | 9 | 0 |
(monitoring) AND (“electrical energy”) AND (“energy use”) AND (building) | 6 | 0 |
(monitoring) AND (“electrical energy”) AND (“energy use”) AND (“intelligent building”) | 0 | 0 |
(monitoring) AND (“electrical energy”) AND (“energy utilization”) AND (building) | 25 | 0 |
(monitoring) AND (“electrical energy”) AND (“energy utilization”) AND (“intelligent building”) | 9 | 0 |
(“energy efficiency”) AND (“electrical energy”) AND (“energy consumption”) AND (building) | 117 | 4 |
(“energy efficiency”) AND (“electrical energy”) AND (“energy consumption”) AND (“intelligent building”) | 14 | 0 |
(“energy efficiency”) AND (“electrical energy”) AND (“energy use”) AND (building) | 35 | 0 |
(“energy efficiency”) AND (“electrical energy”) AND (“energy use”) AND (“intelligent building”) | 2 | 0 |
(“energy efficiency”) AND (“electrical energy”) AND (“energy utilization”) AND (building) | 99 | 0 |
(“energy efficiency”) AND (“electrical energy”) AND (“energy utilization”) AND (“intelligent building”) | 14 | 0 |
(“energy management”) AND (“electrical energy”) AND (“energy consumption”) AND (building) | 62 | 3 |
(“energy management”) AND (“electrical energy”) AND (“energy consumption”) AND (“intelligent building”) | 19 | 0 |
(“energy management”) AND (“electrical energy”) AND (“energy use”) AND (building) | 21 | 0 |
(“energy management”) AND (“electrical energy”) AND (“energy use”) AND (“intelligent building”) | 3 | 0 |
(“energy management”) AND (“electrical energy”) AND (“energy utilization”) AND (building) | 60 | 0 |
(“energy management”) AND (“electrical energy”) AND (“energy utilization”) AND (“intelligent building”) | 18 | 0 |
(“ISO 50001”) AND (“electrical energy”) AND (“energy consumption”) AND (building) | 1 | 0 |
(“ISO 50001”) AND (“electrical energy”) AND (“energy consumption”) AND (“intelligent building”) | 0 | 0 |
(“ISO 50001”) AND (“electrical energy”) AND (“energy use”) AND (building) | 1 | 0 |
(“ISO 50001”) AND (“electrical energy”) AND (“energy use”) AND (“intelligent building”) | 0 | 0 |
(“ISO 50001”) AND (“electrical energy”) AND (“energy utilization”) AND (building) | 1 | 0 |
(“ISO 50001”) AND (“electrical energy”) AND (“energy utilization”) AND (“intelligent building”) | 0 | 0 |
TOTAL | 586 | 10 |
References
- King, L.S.; Ting, L.W.; Kamarazaly, M.A.; Yaakob, A. Energy-efficient features for office building sustainability in malaysia. Malays. Constr. Res. J. 2020, 9, 196–207. [Google Scholar]
- Ananwattanaporn, S.; Patcharoen, T.; Bunjongjit, S.; Ngaopitakkul, A. Retrofitted Existing Residential Building Design in Energy and Economic Aspect According to Thailand Building Energy Code. Appl. Sci. 2021, 11, 1398. [Google Scholar] [CrossRef]
- Benavente-Peces, C. On the Energy Efficiency in the Next Generation of Smart Buildings—Supporting Technologies and Techniques. Energies 2019, 12, 4399. [Google Scholar] [CrossRef] [Green Version]
- Alhasnawi, B.N.; Jasim, B.H.; Esteban, M.D.; Guerrero, J.M. A Novel Smart Energy Management as a Service over a Cloud Computing Platform for Nanogrid Appliances. Sustainability 2020, 12, 9686. [Google Scholar] [CrossRef]
- Amasyali, K.; El-Gohary, N.M. A review of data-driven building energy consumption prediction studies. Renew. Sustain. Energy Rev. 2018, 81, 1192–1205. [Google Scholar] [CrossRef]
- Moreno, M.V.; Úbeda, B.; Skarmeta, A.F.; Zamora, M.A. How can We Tackle Energy Efficiency in IoT BasedSmart Buildings? Sensors 2014, 14, 9582–9614. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Dell’isola, M.; Ficco, G.; Canale, L.; Palella, B.I.; Puglisi, G. An IoT Integrated Tool to Enhance User Awareness on Energy Consumption in Residential Buildings. Atmosphere 2019, 10, 743. [Google Scholar] [CrossRef] [Green Version]
- Chen, Y.-Y.; Lin, Y.-H. A Smart Autonomous Time- and Frequency-Domain Analysis Current Sensor-Based Power Meter Prototype Developed over Fog-Cloud Analytics for Demand-Side Management. Sensors 2019, 19, 4443. [Google Scholar] [CrossRef] [Green Version]
- Lin, Y.-H. Novel smart home system architecture facilitated with distributed and embedded flexible edge analytics in demand-side management. Int. Trans. Electr. Energy Syst. 2019, 29, e12014. [Google Scholar] [CrossRef]
- Zorita, A.L.; Fernández-Temprano, M.A.; García-Escudero, L.-A.; Duque-Perez, O. A statistical modeling approach to detect anomalies in energetic efficiency of buildings. Energy Build. 2016, 110, 377–386. [Google Scholar] [CrossRef]
- Esmaeil, K.K.; Alshitawi, M.S.; Almasri, R.A. Analysis of energy consumption pattern in Saudi Arabia’s residential buildings with specific reference to Qassim region. Energy Effic. 2019, 12, 2123–2145. [Google Scholar] [CrossRef]
- Edwards, E.E.; Iyare, O.; Moseley, L. Energy consumption in typical Caribbean office buildings: A potential short term solution to energy concerns. Renew. Energy 2012, 39, 154–161. [Google Scholar] [CrossRef]
- De la Puente-Gil, Á.; González-Martínez, A.; Borge-Diez, D.; Blanes-Peiró, J.J.; De Simón-Martín, M. Electrical Consumption Profile Clusterization: Spanish Castilla y León Regional Health Services Building Stock as a Case Study. Environments 2018, 5, 133. [Google Scholar] [CrossRef] [Green Version]
- Mariano-Hernández, D.; Hernández-Callejo, L.; Zorita-Lamadrid, A.; Duque-Pérez, O.; García, F.S. A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis. J. Build. Eng. 2021, 33, 101692. [Google Scholar] [CrossRef]
- Hafeez, G.; Wadud, Z.; Khan, I.U.; Khan, I.; Shafiq, Z.; Usman, M.; Khan, M.U.A. Efficient Energy Management of IoT-Enabled Smart Homes Under Price-Based Demand Response Program in Smart Grid. Sensors 2020, 20, 3155. [Google Scholar] [CrossRef] [PubMed]
- Batlle, E.A.O.; Palacio, J.C.E.; Lora, E.E.S.; Reyes, A.M.M.; Moreno, M.M.; Morejon, M.B. A methodology to estimate baseline energy use and quantify savings in electrical energy consumption in higher education institution buildings: Case study, Federal University of Itajubá (UNIFEI). J. Clean. Prod. 2020, 244, 118551. [Google Scholar] [CrossRef]
- Capozzoli, A.; Piscitelli, M.S.; Brandi, S.; Grassi, D.; Chicco, G. Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings. Energy 2018, 157, 336–352. [Google Scholar] [CrossRef]
- Razak, I.S.A.; Tan, C.S. Impact of electrical energy consumption and occupancy in university building. J. Green Eng. 2020, 10, 13337–13348. [Google Scholar]
- Muzi, F.; De Lorenzo, M.G.; De Gasperis, G. The Impact of Energy Demand Prediction on the Automation of Smart Buildings Management. Int. J. Simul. Syst. Sci. Technol. 2015, 16, 9.1–9.7. [Google Scholar] [CrossRef]
- Vardakas, J.S.; Zenginis, I.; Zorba, N.; Echave, C.; Morato, M.; Verikoukis, C. Electrical Energy Savings through Efficient Cooperation of Urban Buildings: The Smart Community Case of Superblocks’ in Barcelona. IEEE Commun. Mag. 2018, 56, 102–109. [Google Scholar] [CrossRef]
- Jia, M.; Komeily, A.; Wang, Y.; Srinivasan, R.S. Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications. Autom. Constr. 2019, 101, 111–126. [Google Scholar] [CrossRef]
- Terroso-Saenz, F.; González-Vidal, A.; Ramallo-González, A.P.; Skarmeta, A.F. An open IoT platform for the management and analysis of energy data. Futur. Gener. Comput. Syst. 2019, 92, 1066–1079. [Google Scholar] [CrossRef]
- Hashempour, N.; Taherkhani, R.; Mahdikhani, M. Energy performance optimization of existing buildings: A literature review. Sustain. Cities Soc. 2019, 54, 101967. [Google Scholar] [CrossRef]
- Denyer, D.; Tranfield, D. Producing a systematic review. In The SAGE Handbook of Organizational Research Methods; Buchanan, D.A., Bryman, A., Eds.; Sage: London, UK, 2009; pp. 671–689. [Google Scholar]
- Kitchenham, B. Procedures for Performing Systematic Reviews; Keele University: Keele, UK, 2004; Volume 33. [Google Scholar]
- Sampaio, R.; Mancini, M. Estudos de revisão sistemÁTICA: Um guia para síntese criteriosa da evidência científica. Rev. Bras. Fisioter 2007, 11, 83–89. [Google Scholar] [CrossRef]
- Okoli, C. A Guide to Conducting a Standalone Systematic Literature Review. Commun. Assoc. Inf. Syst. 2015, 37, 879–910. [Google Scholar] [CrossRef] [Green Version]
- Tranfield, D.; Denyer, D.; Smart, P. Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review. Br. J. Manag. 2003, 14, 207–222. [Google Scholar] [CrossRef]
- Moreno, M.V.; Zamora, M.A.; Skarmeta, A.F. User-centric smart buildings for energy sustainable smart cities. Trans. Emerg. Telecommun. Technol. 2013, 25, 41–55. [Google Scholar] [CrossRef]
- Wang, D.; Zhong, D.; Souri, A. Energy management solutions in the Internet of Things applications: Technical analysis and new research directions. Cogn. Syst. Res. 2021, 67, 33–49. [Google Scholar] [CrossRef]
- Abu Bakar, N.N.; Hassan, M.Y.; Abdullah, H.; Rahman, H.A.; Abdullah, M.P.; Hussin, F.; Bandi, M. Energy efficiency index as an indicator for measuring building energy performance: A review. Renew. Sustain. Energy Rev. 2015, 44, 1–11. [Google Scholar] [CrossRef]
- Pérez-Lombard, L.; Ortiz, J.; Pout, C. A review on buildings energy consumption information. Energy Build. 2008, 40, 394–398. [Google Scholar] [CrossRef]
- Zhao, L.; Zhang, J.-L.; Liang, R.-B. Development of an energy monitoring system for large public buildings. Energy Build. 2013, 66, 41–48. [Google Scholar] [CrossRef]
- Bolchini, C.; Geronazzo, A.; Quintarelli, E. Smart buildings: A monitoring and data analysis methodological framework. Build. Environ. 2017, 121, 93–105. [Google Scholar] [CrossRef]
- Chung, W.; Hui, Y.; Lam, Y.M. Benchmarking the energy efficiency of commercial buildings. Appl. Energy 2006, 83, 1–14. [Google Scholar] [CrossRef]
- Zhu, J.; Li, D. Current Situation of Energy Consumption and Energy Saving Analysis of Large Public Building. Procedia Eng. 2015, 121, 1208–1214. [Google Scholar] [CrossRef] [Green Version]
- Elsevier. Descubra por que os Principais Pesquisadores e Organizações do Mundo Escolhem a Scopus 2022. Available online: https://www.elsevier.com/solutions/scopus/why-choose-scopus (accessed on 26 July 2022).
- IEEE. Biblioteca Digital IEEE Xplore. 2022. Available online: https://www.ieee.org/publications/subscriptions/products/mdl/ieeexplore-access.html (accessed on 26 July 2022).
- Asghari, P.; Rahmani, A.M.; Javadi, H.H.S. Internet of Things applications: A systematic review. Comput. Netw. 2019, 148, 241–261. [Google Scholar] [CrossRef]
- Mendoza-Pitti, L.; Calderon-Gomez, H.; Vargas-Lombardo, M.; Gomez-Pulido, J.M.; Castillo-Sequera, J.L. Towards a Service-Oriented Architecture for the Energy Efficiency of Buildings: A Systematic Review. IEEE Access 2021, 9, 26119–26137. [Google Scholar] [CrossRef]
- Bakkalbasi, N.; Bauer, K.; Glover, J.; Wang, L. Three options for citation tracking: Google Scholar, Scopus and Web of Science. Biomed. Digit. Libr. 2006, 3, 7. [Google Scholar] [CrossRef] [Green Version]
- Pereira, V.; Santos, J.; Leite, F.; Escórcio, P. Using BIM to improve building energy efficiency—A scientometric and systematic review. Energy Build. 2021, 250, 111292. [Google Scholar] [CrossRef]
- Cozza, S.; Chambers, J.; Brambilla, A.; Patel, M.K. In search of optimal consumption: A review of causes and solutions to the Energy Performance Gap in residential buildings. Energy Build. 2021, 249, 111253. [Google Scholar] [CrossRef]
- Costa-Carrapiço, I.; Raslan, R.; González, J.N. A systematic review of genetic algorithm-based multi-objective optimisation for building retrofitting strategies towards energy efficiency. Energy Build. 2020, 210, 109690. [Google Scholar] [CrossRef]
- Zupic, I.; Čater, T. Bibliometric methods in management and organization. Organ. Res. Methods 2015, 18, 429–472. [Google Scholar] [CrossRef]
- Aria, M.; Cuccurullo, C. bibliometrix: An R-tool for comprehensive science mapping analysis. J. Informetr. 2017, 11, 959–975. [Google Scholar] [CrossRef]
- Braun, V.; Clarke, V. Qualitative Research in Psychology Using thematic analysis in psychology Using thematic analysis in psychology. Qual. Res. Psychol. 2006, 3, 77–101. [Google Scholar] [CrossRef] [Green Version]
- Nowell, L.S.; Norris, J.M.; White, D.E.; Moules, N.J. Thematic Analysis: Striving to Meet the Trustworthiness Criteria. Int. J. Qual. Methods 2017, 16, 1609406917733847. [Google Scholar] [CrossRef]
- Mulville, M.; Jones, K.; Huebner, G. The potential for energy reduction in UK commercial offices through effective management and behaviour change. Arch. Eng. Des. Manag. 2014, 10, 79–90. [Google Scholar] [CrossRef]
- Ab Halim, M.F.M.; Yaakub, M.F.; Harun, M.H.; Annuar, K.A.M.; Basar, F.H.; Omar, M.N. An analysis of energy saving through delamping method. Int. J. Electr. Comput. Eng. (IJECE) 2019, 9, 1569–1575. [Google Scholar] [CrossRef]
- Fichera, A.; Frasca, M.; Palermo, V.; Volpe, R. An optimization tool for the assessment of urban energy scenarios. Energy 2018, 156, 418–429. [Google Scholar] [CrossRef]
- Voss, C.; Tsikriktsis, N.; Frohlich, M. Case research in operations management. Int. J. Oper. Prod. Manag. 2002, 22, 195–219. [Google Scholar] [CrossRef] [Green Version]
- Al-Ali, A.; Zualkernan, I.A.; Rashid, M.; Gupta, R.; Alikarar, M. A smart home energy management system using IoT and big data analytics approach. IEEE Trans. Consum. Electron. 2017, 63, 426–434. [Google Scholar] [CrossRef]
- Xu, X.; Feng, G.; Chi, D.; Liu, M.; Dou, B. Optimization of Performance Parameter Design and Energy Use Prediction for Nearly Zero Energy Buildings. Energies 2018, 11, 3252. [Google Scholar] [CrossRef] [Green Version]
- Tientcheu, S.I.N.; Chowdhury, S.P.; Olwal, T.O. Intelligent Energy Management Strategy for Automated Office Buildings. Energies 2019, 12, 4326. [Google Scholar] [CrossRef] [Green Version]
- Abbas, M.R. Energy conservation potentials of an office buildings in Northern Nigeria: A case study of Katsina secretariat complex. Indones. J. Electr. Eng. Comput. Sci. 2020, 18, 629–635. [Google Scholar] [CrossRef]
- Verma, A.; Prakash, S.; Kumar, A. AI-based Building Management and Information System with Multi-agent Topology for an Energy-efficient Building: Towards Occupants Comfort. IETE J. Res. 2020, 69, 1033–1044. [Google Scholar] [CrossRef]
- Albatayneh, A. The Share of Energy Consumption by End Use in Electrical Residential Buildings in Jordan. Environ. Clim. Technol. 2022, 26, 754–766. [Google Scholar] [CrossRef]
- Gul, M.S.; Patidar, S. Understanding the energy consumption and occupancy of a multi-purpose academic building. Energy Build. 2015, 87, 155–165. [Google Scholar] [CrossRef] [Green Version]
- Marinakis, V.; Doukas, H. An Advanced IoT-based System for Intelligent Energy Management in Buildings. Sensors 2018, 18, 610. [Google Scholar] [CrossRef] [Green Version]
- Ouf, M.M.; Issa, M.H. Energy consumption analysis of school buildings in Manitoba, Canada. Int. J. Sustain. Built Environ. 2017, 6, 359–371. [Google Scholar] [CrossRef]
- Cygańska, M.; Kludacz-Alessandri, M. Determinants of Electrical and Thermal Energy Consumption in Hospitals According to Climate Zones in Poland. Energies 2021, 14, 7585. [Google Scholar] [CrossRef]
- García-Sanz-Calcedo, J.; Gómez-Chaparro, M.; Sanchez-Barroso, G. Electrical and thermal energy in private hospitals: Consumption indicators focused on healthcare activity. Sustain. Cities Soc. 2019, 47, 101482. [Google Scholar] [CrossRef]
- Brema, J.; Abraham, A.A. Energy efficiency analysis of an existing building in a semi-arid region. Ecol. Environ. Conserv. 2018, 24, S195–S201. [Google Scholar]
- Parise, G.; Martirano, L.; Parise, L. A Procedure to Estimate the Energy Requirements for Lighting. IEEE Trans. Ind. Appl. 2016, 52, 34–41. [Google Scholar] [CrossRef]
- Shareef, H.; Ahmed, M.S.; Mohamed, A.; Al Hassan, E. Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers. IEEE Access 2018, 6, 24498–24509. [Google Scholar] [CrossRef]
- Mahapatra, C.; Moharana, A.K.; Leung, V.C.M. Energy Management in Smart Cities Based on Internet of Things: Peak Demand Reduction and Energy Savings. Sensors 2017, 17, 2812. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Chang, C.-Y.; Kuo, C.-H.; Chen, J.-C.; Wang, T.-C. Design and Implementation of an IoT Access Point for Smart Home. Appl. Sci. 2015, 5, 1882–1903. [Google Scholar] [CrossRef] [Green Version]
- Liao, H.; Tang, M.; Li, Z.; Lev, B. Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on Essential Science Indicators. Omega 2019, 88, 223–236. [Google Scholar] [CrossRef]
- Caparrós-Martínez, J.L.; Milán-García, J.; Martínez-Vázquez, R.M.; Valenciano, J.d.P. Green Infrastructures and Grand Environmental Challenges: A Review of Research Trends by Keyword. Agronomy 2021, 11, 782. [Google Scholar] [CrossRef]
- Callon, M.; Courtial, J.P.; Laville, F. Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry. Scientometrics 1991, 22, 155–205. [Google Scholar] [CrossRef]
- Hirvonen, J.; Jokisalo, J.; Heljo, J.; Kosonen, R. Effect of apartment building energy renovation on hourly power demand. Int. J. Sustain. Energy 2019, 38, 918–936. [Google Scholar] [CrossRef]
- Nie, P.; Roccotelli, M.; Fanti, M.P.; Ming, Z.; Li, Z. Prediction of home energy consumption based on gradient boosting regression tree. Energy Rep. 2021, 7, 1246–1255. [Google Scholar] [CrossRef]
- Ghajarkhosravi, M.; Huang, Y.; Fung, A.S.; Kumar, R.; Straka, V. Energy benchmarking analysis of multi-unit residential buildings (MURBs) in Toronto, Canada. J. Build. Eng. 2020, 27, 100981. [Google Scholar] [CrossRef]
- Tabrizchi, H.; Javidi, M.M.; Amirzadeh, V. Estimates of residential building energy consumption using a multi-verse optimizer-based support vector machine with k-fold cross-validation. Evol. Syst. 2021, 12, 755–767. [Google Scholar] [CrossRef]
- Hamouda, Y.E.M.; Dwedar, S.J.I. Optimally Automated Home Management for Smart Grid System Using Sensor Networks: Gaza Strip as a Case Study. Technol. Econ. Smart Grids Sustain. Energy 2020, 5, 16. [Google Scholar] [CrossRef]
- Jurj, D.I.; Czumbil, L.; Bârgăuan, B.; Ceclan, A.; Polycarpou, A.; Micu, D.D. Custom Outlier Detection for Electrical Energy Consumption Data Applied in Case of Demand Response in Block of Buildings. Sensors 2021, 21, 2946. [Google Scholar] [CrossRef]
- Liaqat, R.; Sajjad, I.A.; Waseem, M.; Alhelou, H.H. Appliance Level Energy Characterization of Residential Electricity Demand: Prospects, Challenges and Recommendations. IEEE Access 2021, 9, 148676–148697. [Google Scholar] [CrossRef]
- Khan, M.A.; Sajjad, I.A.; Tahir, M.; Haseeb, A. IOT Application for Energy Management in Smart Homes. Eng. Proc. 2022, 20, 43. [Google Scholar] [CrossRef]
- Kott, J.; Kott, M. Generic Ontology of Energy Consumption Households. Energies 2019, 12, 3712. [Google Scholar] [CrossRef] [Green Version]
- Bastida-Molina, P.; Torres-Navarro, J.; Honrubia-Escribano, A.; Gómez-Lázaro, E. Electricity consumption analysis for university buildings. Empirical approach for University of Castilla-La Mancha, campus Albacete (Spain). Renew. Energy Power Qual. J. 2022, 20, 216–221. [Google Scholar] [CrossRef]
- Munck, L.; Bansi, A.C.; Dias, B.G.; Cella-de-Oliveira, F.A. Em Busca da Sustentabilidade Organizacional: A Proposição de um Framework. Rev. Alcance 2013, 20, 460–477. [Google Scholar] [CrossRef] [Green Version]
Object of Study | N * | Study Method * | Example Authors | |||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | |||
Office building | 5 | 5 | 0 | 0 | 0 | Mulville, Jones, and Huebner [49] King et al. [1] Edwards, Iyare, and Moseley [12] Tientcheu, Chowdhury, and Olwal [55] Abbas [56] |
Residential building | 21 | 12 | 4 | 3 | 2 | Dell’isola et al. [7] Verma, Prakash, and Kumar [57] Albatayneh [58] Esmaeil, Alshitawi, and Almasri [11] |
University building | 11 | 10 | 1 | 0 | 0 | Muzi, De Lorenzo, and De Gasperis [19] Gul and Patidar [59] Marinakis and Doukas [60] Capozzoli et al. [17] |
School building | 1 | 1 | 0 | 0 | 0 | Ouf and Issa [61] |
Hospital building | 5 | 5 | 0 | 0 | 0 | Cygańska and Kludacz-Alessandri [62] Garca-Sanz-Calcedo, Gomez-Chaparro, and Sanchez-Barroso [63] Brema and Abraham [64] |
Building without specification |
4 | 2 | 0 | 0 | 2 | Benavente-Peces [3] Fichera et al. [51] Vardakas et al. [20] Parise, Martirano, and Parise [65] |
Total | 47 | 35 | 5 | 3 | 4 |
Ranking | Periodicals | Number of Publications |
---|---|---|
1 | Energies | 5 |
2 | Sensors (Switzerland) | 5 |
3 | Applied Sciences (Switzerland) | 2 |
4 | Energy | 2 |
5 | Energy and Buildings | 2 |
6 | IEEE Access | 2 |
Ranking | Most Cited Articles (Global) | Citations | Citations per Year |
---|---|---|---|
1 | Al-Ali et al. [53] | 251 | 35.86 |
2 | Gul and Patidar [59] | 193 | 21.44 |
3 | Shareef et al. [66] | 153 | 25.50 |
4 | Marinakis and Doukas [60] | 79 | 13.17 |
5 | Moreno et al. [6] | 71 | 7.10 |
6 | Mahapatra, Moharana, and Leung [67] | 61 | 8.71 |
7 | Capozzoli et al. [17] | 43 | 7.17 |
8 | Chang et al. [68] | 39 | 4.33 |
9 | Ouf and Issa [61] | 38 | 5.43 |
10 | Mulville, Jones, and Huebner [49] | 25 | 2.50 |
Ranking | Keywords (Author) | Occurrences |
---|---|---|
1 | Energy consumption | 8 |
2 | Energy efficiency | 6 |
3 | Energy management | 6 |
4 | Internet of Things | 5 |
5 | Data mining | 3 |
6 | Demand response | 3 |
7 | Efficiency | 3 |
8 | Energy | 3 |
9 | Optimization | 3 |
10 | Intelligent building | 3 |
Group | Consumption Factor | N | Building Type | Examples of Authors | |||||
---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | ||||
Equipment | Heating, ventilation and air conditioning (HVAC) | 6 | 3 | 1 | 1 | 1 | Alhasnawi et al. [4] and Moreno et al. [6] and Razak and Tan [18] | ||
Heating and ventilation (HV) | 2 | 2 | Esmaeil, Alshitawi, and Almasri [11] and Hirvonen et al. [72] | ||||||
Air conditioning (AC) | 3 | 1 | 2 | Mulville, Jones, and Huebner [49] and Ananwattanaporn et al. [2] | |||||
Ventilation and air conditioning (VAC) | 1 | 1 | Abbas [56] | ||||||
Lighting | 14 | 5 | 4 | 2 | 1 | 2 | Dell’isola et al. [7] and Ab Halim et al. [50] and Brema and Abraham [64] | ||
Electrical equipment | 10 | 4 | 4 | 1 | 1 | Alhasnawi et al. [4] and King et al. [1] and Nie et al. [73] | |||
Building | Building area | 8 | 1 | 2 | 1 | 4 | Batlle et al. [16] and La Puente-Gil et al. [13] and Ghajarkhosravi et al. [74] | ||
Building envelope | 3 | 1 | 2 | Ananwattanaporn et al. [2] and King et al. [1] and Hirvonen et al. [72] | |||||
Age of the building | 2 | 1 | 1 | Ghajarkhosravi et al. [74] and Marinakis and Doukas [60] and Ouf and Issa [61] | |||||
Number of floors | 1 | 1 | Ghajarkhosravi et al. [74] | ||||||
Activities performed | 4 | 1 | 3 | Zorita et al. [10] and Gul and Patidar [59] | |||||
Climate or period | Climatic conditions (temperatures) | 9 | 2 | 2 | 2 | 2 | 1 | Zorita et al. [10] and Moreno et al. [6] and Tabrizchi, Javidi, and Amirzadeh [75] | |
Seasons (seasonality) | 3 | 1 | 1 | 1 | Batlle et al. [16] and Tientcheu, Chowdhury, and Olwal [55] | ||||
Time of year (calendar) | 1 | 1 | Razak and Tan [18] | ||||||
Occupation | Number of occupants | 11 | 1 | 2 | 3 | 1 | 3 | 1 | Tabrizchi, Javidi, and Amirzadeh [75] and Razak and Tan [18] and Ouf and Issa [61] |
Occupant behavior | 5 | 1 | 1 | 2 | 1 | Razak and Tan [18] and Esmaeil, Alshitawi, and Almasri [11] |
Author(s) | Building Type | Stages of the Energy Management Process | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
Alhasnawi et al. [4] | Residential | x | x | x * | ||
Batlle et al. [16] | University | x | x | x | ||
Dell’isola et al. [7] | Residential | x | x | x | x | x |
Chen and Lin [8] | Residential | x | x | x | ||
Lin [9] | Residential | x | x | x * | ||
Muzi, De Lorenzo, and De Gasperis [19] | University | x | x | x * | ||
Moreno et al. [6] | No specification | x | x | x | x | x |
Hafeez et al. [15] | Residential | x | x | x * | ||
Verma, Prakash, and Kumar [57] | Residential | x | x | x * | ||
Capozzoli et al. [17] | University | x | x | |||
Hamouda and Dwedar [76] | Residential | x | x | x * | ||
Tientcheu, Chowdhury, and Olwal [55] | Office | x | x | x * | ||
Vardakas et al. [20] | No specification | x | x | x * | ||
Jurj et al. [77] | University | x | x | x * | ||
Marinakis and Doukas [60] | University | x | x | x | x | |
Mahapatra, Moharana, and Leung [67] | Residential | x | x | x * | x | |
Al-Ali et al. [53] | Residential | x | x | x * | ||
Liaqat et al. [78] | Residential | x | x | x * | ||
Khan [79] | Residential | x | x | x * | ||
Number of observations | 3 | 19 | 17 | 19 | 4 |
Group | Indicator | N | Building Type | Example of Authors | |||||
---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | ||||
Consumption | kWh | 1 | 1 | Abbas [56] | |||||
kWh/m2 | 7 | 1 | 3 | 2 | 1 | Edwards, Iyare, and Moseley [12] and Hirvonen et al. [72] |
|||
kWh/day | 6 | 1 | 2 | 3 | Moreno et al. [6] and Mulville, Jones, and Huebner [49] | ||||
kWh/month | 6 | 2 | 2 | 2 | Razak and Tan [18] and Brema and Abraham [64] | ||||
kWh/year | 4 | 2 | 2 | Batlle et al. [16] and Ananwattanaporn et al. [2] | |||||
kWh/m2/year | 3 | 1 | 1 | 1 | Parise, Martirano, and Parise [65] and Ouf and Issa [61] | ||||
kWh/m2/month | 1 | 1 | La Puente-Gil et al. [13] | ||||||
kWh/building | 2 | 2 | Esmaeil, Alshitawi, and Almasri [11] and Ghajarkhosravi et al. [74] | ||||||
kWh/floor | 1 | 1 | Ghajarkhosravi et al. [74] | ||||||
kWh/environment * | 1 | 1 | Dell’isola et al. [7] | ||||||
kWh/bed | 1 | 1 | García-Sanz-Calcedo, Gómez-Chaparro, and Sanchez-Barroso [63] | ||||||
kWh/mesa/day | 1 | 1 | Mulville, Jones, and Huebner [49] | ||||||
kWh/activity | 2 | 1 | 1 | García-Sanz-Calcedo, Gómez-Chaparro, and Sanchez-Barroso [63] | |||||
kWh/person | 6 | 3 | 1 | 1 | 1 | Moreno et al. [6] and Ouf and Issa [61] | |||
kWh/m2/person ** | 2 | 1 | 1 | Marinakis and Doukas [60] and Ouf and Issa [61]. | |||||
kWh/use | 2 | 2 | Esmaeil, Alshitawi, and Almasri [11] and Albatayneh [58] | ||||||
kWh/m2/use *** | 2 | 1 | 1 | Dell’isola et al. [7] and Marinakis and Doukas [60] | |||||
kW/day | 1 | 1 | Gul and Patidar [59] | ||||||
kW/month | 1 | 1 | Gul and Patidar [59] | ||||||
Environmental | kg.CO2/m2 | 2 | 2 | Hirvonen et al. [72] and Ghajarkhosravi et al. [74] | |||||
kg.CO2/year | 1 | 1 | Mulville, Jones, and Huebner [49] | ||||||
kg.CO2/m2/year | 1 | 1 | Hirvonen et al. [72] | ||||||
kg.CO2/environment | 1 | 1 | Dell’isola et al. [7] | ||||||
ton.CO2eq/m2 | 1 | 1 | Marinakis and Doukas [60] | ||||||
ton.CO2eq/year | 1 | 1 | Batlle et al. [16] | ||||||
Economic | custo($)/environment | 1 | 1 | Dell’isola et al. [7] | |||||
cost($)/m2 | 3 | 1 | 1 | 1 | Marinakis and Doukas [60] and Ouf and Issa [61] | ||||
cost($)/person | 1 | 1 | Ouf and Issa [61] | ||||||
cost($)/m2/person | 1 | 1 | Ouf and Issa [61] |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
|
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
de Oliveira Cavalcanti, G.; Pimenta, H.C.D. Electric Energy Management in Buildings Based on the Internet of Things: A Systematic Review. Energies 2023, 16, 5753. https://doi.org/10.3390/en16155753
de Oliveira Cavalcanti G, Pimenta HCD. Electric Energy Management in Buildings Based on the Internet of Things: A Systematic Review. Energies. 2023; 16(15):5753. https://doi.org/10.3390/en16155753
Chicago/Turabian Stylede Oliveira Cavalcanti, Gleydson, and Handson Claudio Dias Pimenta. 2023. "Electric Energy Management in Buildings Based on the Internet of Things: A Systematic Review" Energies 16, no. 15: 5753. https://doi.org/10.3390/en16155753