Comprehensive review of modeling, structure, and integration techniques of smart buildings in the cyber-physical-social system
Received date: 18 Jan 2021
Accepted date: 21 Jul 2021
Published date: 15 Feb 2022
Copyright
Smart buildings have been proven to be a kind of flexible demand response resources in the power system. To maximize the utilization of the demand response resources, such as the heating, ventilating and air-conditioning (HVAC), the energy storage systems (ESSs), the plug-in electric vehicles (PEVs), and the photovoltaic systems (PVs), their controlling, operation and information communication technologies have been widely studied. Involving human behaviors and cyber space, a traditional power system evolves into a cyber-physical-social system (CPSS). Lots of new operation frameworks, controlling methods and potential resources integration techniques will be introduced. Conversely, these new techniques urge the reforming requirement of the techniques on the modeling, structure, and integration techniques of smart buildings. In this paper, a brief comprehensive survey of the modeling, controlling, and operation of smart buildings is provided. Besides, a novel CPSS-based smart building operation structure is proposed, and the integration techniques for the group of smart buildings are discussed. Moreover, available business models for aggregating the smart buildings are discussed. Furthermore, the required advanced technologies for well-developed smart buildings are outlined.
Kai GONG , Jianlin YANG , Xu WANG , Chuanwen JIANG , Zhan XIONG , Ming ZHANG , Mingxing GUO , Ran LV , Su WANG , Shenxi ZHANG . Comprehensive review of modeling, structure, and integration techniques of smart buildings in the cyber-physical-social system[J]. Frontiers in Energy, 2022 , 16(1) : 74 -94 . DOI: 10.1007/s11708-021-0792-6
1 |
Swilling M, Robinson B, Marvin S,
|
2 |
Wilson M. By 2050, 70% of world’s population will be urban. Is that a good thing? 2012-3-12, available at the website of fastcodesign.com
|
3 |
Taha A F, Gatsis N, Dong B,
|
4 |
Efkarpidis N A, Christoforidis G C, Papagiannis G K. Modeling of heating and cooling energy needs in different types of smart buildings. IEEE Access: Practical Innovations, Open Solutions, 2020, 8: 29711–29728
|
5 |
Zhang X, Pipattanasomporn M, Chen T,
|
6 |
Zhang W, Hu W, Wen Y. Thermal comfort modeling for smart buildings: a fine-grained deep learning approach. IEEE Internet of Things Journal, 2019, 6(2): 2540–2549
|
7 |
Hu W, Wen Y, Guan K,
|
8 |
Yu L, Xie D, Jiang T,
|
9 |
Ostadijafari M, Dubey A, Yu N. Linearized price-responsive HVAC controller for optimal scheduling of smart building loads. IEEE Transactions on Smart Grid, 2020, 11(4): 3131–3145
|
10 |
Yu L, Sun Y, Xu Z,
|
11 |
Sadid W H, Abobakr S A, Zhu G. Discrete-event systems-based power admission control of thermal appliances in smart buildings. IEEE Transactions on Smart Grid, 2017, 8(6): 2665–2674
|
12 |
Li W. Application of economical building management system for Singapore commercial building. IEEE Transactions on Industrial Electronics, 2020, 67(5): 4235–4243
|
13 |
Razmara M, Bharati G R, Shahbakhti M,
|
14 |
Mocanu E, Mocanu D C, Nguyen P H,
|
15 |
Pinzon J A, Vergara P P, da Silva L C P,
|
16 |
Chouikhi S, Merghem-Boulahia L, Esseghir M,
|
17 |
Cui S, Wang Y, Shi Y,
|
18 |
Zhou Z, Zhao F, Wang J. Agent-based electricity market simulation with demand response from commercial buildings. IEEE Transactions on Smart Grid, 2011, 2(4): 580–588
|
19 |
Cui S, Wang Y, Xiao J. Peer-to-peer energy sharing among smart energy buildings by distributed transaction. IEEE Transactions on Smart Grid, 2019, 10(6): 6491–6501
|
20 |
Nguyen D T, Le L. Optimal bidding strategy for microgrids considering renewable energy and building thermal dynamics. IEEE Transactions on Smart Grid, 2014, 5(4): 1608–1620
|
21 |
Yu X, Xue Y. Smart grids: a cyber–physical systems perspective. Proceedings of the IEEE, 2016, 104(5): 1058–1070
|
22 |
Burg A, Chattopadhyay A, Lam K Y. Wireless communication and security issues for cyber–physical systems and the Internet-of-Things. Proceedings of the IEEE, 2018, 106(1): 38–60
|
23 |
Kalluri B, Chronopoulos C, Kozine I. The concept of smartness in cyber-physical systems and connection to urban environment. Annual Reviews in Control, 2021, 51: 1–22
|
24 |
Jin M, Jia R, Das H P,
|
25 |
Zhou Y, Yu F R, Chen J,
|
26 |
Samad T, Koch E, Stluka P. Automated demand response for smart buildings and microgrids: the state of the practice and research challenges. Proceedings of the IEEE, 2016, 104(4): 726–744
|
27 |
Minoli D, Sohraby K, Occhiogrosso B. IoT considerations, requirements, and architectures for smart buildings—energy optimization and next-generation building management systems. IEEE Internet of Things Journal, 2017, 4(1): 269–283
|
28 |
Rashidizadeh-Kermani H, Vahedipour-Dahraie M, Shafie-Khah M,
|
29 |
Royapoor M, Pazhoohesh M, Davison P J,
|
30 |
Kim Y J. Optimal price based demand response of HVAC systems in multizone office buildings considering thermal preferences of individual occupants buildings. IEEE Transactions on Industrial Informatics, 2018, 14(11): 5060–5073
|
31 |
Delcroix B. Modeling of thermal mass energy storage in buildings with phase change materials. Dissertation for the Doctoral Degree. Montréal: Université de Montréal, 2015
|
32 |
Koo C, Park S, Hong T,
|
33 |
Dong X, Griffo A, Wang J. Multiparameter model order reduction for thermal modeling of power electronics. IEEE Transactions on Power Electronics, 2020, 35(8): 8550–8558
|
34 |
Beneventi F, Bartolini A, Tilli A,
|
35 |
Sechilariu M, Wang B, Locment F. Building integrated photovoltaic system with energy storage and smart grid communication. IEEE Transactions on Industrial Electronics, 2013, 60(4): 1607–1618
|
36 |
Du L, Zhang L, Tian X. Deep power forecasting model for building attached photovoltaic system. IEEE Access: Practical Innovations, Open Solutions, 2018, 6: 52639–52651
|
37 |
Xu X, Xu Z, Zhang R,
|
38 |
Wi Y M, Lee J U, Joo S K. Electric vehicle charging method for smart homes/buildings with a photovoltaic system. IEEE Transactions on Consumer Electronics, 2013, 59(2): 323–328
|
39 |
Tang J, Cai D, Yuan C,
|
40 |
Qolomany B, Al-Fuqaha A, Gupta A,
|
41 |
Yang C, Yao J, Lou W,
|
42 |
Zhou B, Zhang K, Chan K W,
|
43 |
Ko K, Sung D K. The effect of cellular network-based communication delays in an EV aggregator’s domain on frequency regulation service. IEEE Transactions on Smart Grid, 2019, 10(1): 65–73
|
44 |
Pan J, Jain R, Paul S,
|
45 |
Abrol S, Mehmani A, Kerman M,
|
46 |
Zhao T, Zhang C, Xu J,
|
47 |
Johnson B J, Starke M R, Abdelaziz O A,
|
48 |
Basu K, Hawarah L, Arghira N,
|
49 |
Aksanli B, Rosing T S. Human behavior aware energy management in residential cyber-physical systems. IEEE Transactions on Emerging Topics in Computing, 2020, 8(1): 45–57
|
50 |
Yu L, Xie D, Huang C,
|
51 |
Gupta S K, Kar K, Mishra S,
|
52 |
Ajayi S O, Oyedele L O, Ilori O M. Changing significance of embodied energy: a comparative study of material specifications and building energy sources. Journal of Building Engineering, 2019, 23: 324–333
|
53 |
Jia Wen T, Chin Siong H, Noor Z Z. Assessment of embodied energy and global warming potential of building construction using life cycle analysis approach: case studies of residential buildings in Iskandar Malaysia. Energy and Building, 2015, 93: 295–302
|
54 |
Robati M, Daly D, Kokogiannakis G. A method of uncertainty analysis for whole-life embodied carbon emissions (CO2-e) of building materials of a net-zero energy building in Australia. Journal of Cleaner Production, 2019, 225: 541–553
|
55 |
Monahan J, Powell J C. An embodied carbon and energy analysis of modern methods of construction in housing: a case study using a lifecycle assessment framework. Energy and Building, 2011, 43(1): 179–188
|
56 |
Minunno R, O’Grady T, Morrison G M,
|
57 |
Alwan Z, Nawarathna A, Ayman R,
|
58 |
Abd Alla S, Bianco V, Tagliafico L A,
|
59 |
Kreuzer K. The open home automation bus. 2019, available at the website of openhab.org
|
60 |
Schoutsen P. Home assistant. 2019, available at the website of home-assistant.io
|
61 |
Zhang X, Adhikari R, Pipattanasomporn M,
|
62 |
Cui B, Gao D, Wang S,
|
63 |
Zhang X, Wang D, Zhang Y,
|
64 |
Yoon Y B, Seo B, Koh B B
|
65 |
Paul S, Padhy N P. Real-time bilevel energy management of smart residential apartment building. IEEE Transactions on Industrial Informatics, 2020, 16(6): 3708–3720
|
66 |
Lee S, Kwon B, Lee S. Joint energy management system of electric supply and demand in houses and buildings. IEEE Transactions on Power Systems, 2014, 29(6): 2804–2812
|
67 |
Xu Z, Guan X, Jia Q,
|
68 |
Wang J, Chen B, Li P,
|
69 |
Zhao P, Henze G P, Plamp S,
|
70 |
Lin Y, Barooah P, Meyn S P. Low-frequency power-grid ancillary services from commercial building HVAC systems. In: 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm), Vancouver, Canada, 2013
|
71 |
Blum D H, Zakula T, Norford L K. Opportunity cost quantification for ancillary services provided by heating, ventilating, and air-conditioning systems. IEEE Transactions on Smart Grid, 2017, 8(3): 1264–1273
|
72 |
Kim Y J, Blum D H, Xu N,
|
73 |
Qureshi F A, Lymperopoulos I, Khatir A A,
|
74 |
La Q D, Chan Y W E, Soong B H. Power management of intelligent buildings facilitated by smart grid: a market approach. IEEE Transactions on Smart Grid, 2016, 7(3): 1389–1400
|
75 |
Yoon J H, Baldick R, Novoselac A. Dynamic demand response controller based on real-time retail price for residential buildings. IEEE Transactions on Smart Grid, 2014, 5(1): 121–129
|
76 |
Bilgin E, Caramanis M C, Paschalidis I C,
|
77 |
Arun S L, Selvan M P. Dynamic demand response in smart buildings using an intelligent residential load management system. IET Generation, Transmission & Distribution, 2017, 11(17): 4348–4357
|
78 |
Lu N, Zhang Y. Design considerations of a centralized load controller using thermostatically controlled appliances for continuous regulation reserves. IEEE Transactions on Smart Grid, 2013, 4(2): 914–921
|
79 |
Vanouni M, Lu N. Improving the centralized control of thermostatically controlled appliances by obtaining the right information. IEEE Transactions on Smart Grid, 2015, 6(2): 946–948
|
80 |
Muhssin M T, Cipcigan L M, Jenkins N,
|
81 |
Hu J, Cao J, Chen M Z Q,
|
82 |
Ma K, Yuan C, Yang J,
|
83 |
Hao H, Lin Y, Kowli A S,
|
84 |
Adhikari R, Pipattanasomporn M, Rahman S. Heuristic algorithms for aggregated HVAC control via smart thermostats for regulation service. IEEE Transactions on Smart Grid, 2020, 11(3): 2023–2032
|
85 |
Mantovani G, Ferrarini L. Temperature control of a commercial building with model predictive control techniques. IEEE Transactions on Industrial Electronics, 2015, 62(4): 2651–2660
|
86 |
Ma Y, Matuško J, Borrelli F. Stochastic model predictive control for building HVAC systems: complexity and conservatism. IEEE Transactions on Control Systems Technology, 2015, 23(1): 101–116
|
87 |
Wang Z, Hu G, Spanos C J. Distributed model predictive control of bilinear HVAC systems using a convexification method. In: 2017 11th Asian Control Conference (ASCC). Gold Coast, QLD, Australia, 2017
|
88 |
Wu Z, Jia Q, Guan X. Optimal control of multiroom HVAC system: an event-based approach. IEEE Transactions on Control Systems Technology, 2016, 24(2): 662–669
|
89 |
Zhang Z, Chong A, Pan Y,
|
90 |
Nazari S, Borrelli F, Stefanopoulou A. Electric vehicles for smart buildings: a survey on applications, energy management methods, and battery degradation. Proceedings of the IEEE, 2021, 109(6): 1128–1144
|
91 |
Zhang G, Tan S T, Wang G G. Real-time smart charging of electric vehicles for demand charge reduction at non-residential sites. IEEE Transactions on Smart Grid, 2018, 9(5): 4027–4037
|
92 |
Liu Z, Wu Q, Shahidehpour M,
|
93 |
Afshari S, Mishra S. A plug-and-play realization of decentralized feedback control for smart lighting systems. IEEE Transactions on Control Systems Technology, 2016, 24(4): 1317–1327
|
94 |
Al-Ghaili A M, Kasim H, Al-Hada N M,
|
95 |
Lee C K, Liu H, Fuhs D,
|
96 |
Liu J, Zhang W, Liu Y. Primary frequency response from the control of LED lighting loads in commercial buildings. IEEE Transactions on Smart Grid, 2017, 8(6): 2880–2889
|
97 |
Amini M, Almassalkhi M. Optimal corrective dispatch of uncertain virtual energy storage systems. IEEE Transactions on Smart Grid, 2020, 11(5): 4155–4166
|
98 |
Hao H, Sanandaji B M, Poolla K,
|
99 |
Mathieu J L, Kamgarpour M, Lygeros J,
|
100 |
Hao H, Sanandaji B M, Poolla K,
|
101 |
Martínez G, Liu J, Li B,
|
102 |
Vrakopoulou M, Li B, Mathieu J L. Chance constrained reserve scheduling using uncertain controllable loads part I: formulation and scenario-based analysis. IEEE Transactions on Smart Grid, 2019, 10(2): 1608–1617
|
103 |
Chakraborty I, Nandanoori S P, Kundu S. Virtual battery parameter identification using transfer learning based stacked autoencoder. In: 2018 17th IEEE International Conference on Machine Learning and Applications, 2018: 1269–1274
|
104 |
Madjidian D, Roozbehani M, Dahleh M A. Energy storage from aggregate deferrable demand: fundamental trade-offs and scheduling policies. IEEE Transactions on Power Systems, 2018, 33(4): 3573–3586
|
105 |
Zhu X, Yang J, Liu Y,
|
106 |
Zhao D, Wang H, Huang J,
|
107 |
Hansen E K, Hammershøj Olesen G G, Mullins M. Home smart home: a Danish energy-positive home designed with daylight. Proceedings of the IEEE, 2013, 101(11): 2436–2449
|
108 |
Jia R, Jin B, Jin M,
|
109 |
Duerr S, Ababei C, Ionel D M. SmartBuilds: an energy and power simulation framework for buildings and districts. IEEE Transactions on Industry Applications, 2017, 53(1): 402–410
|
110 |
Li Y, Wang Y, Hu S. Online generative adversary network based measurement recovery in false data injection attacks: a cyber-physical approach. IEEE Transactions on Industrial Informatics, 2020, 16(3): 2031–2043
|
111 |
Patel A, Purwar S. Switching attacks on smart grid using non-linear sliding surface. IET Cyber-Physical Systems: Theory & Applications, 2019, 4(4): 382–392
|
112 |
Khalid H M, Muyeen S M, Peng J C H. Cyber-attacks in a looped energy-water nexus: an inoculated sub-observer-based approach. IEEE Systems Journal, 2020, 14(2): 2054–2065
|
113 |
Lyu X, Ding Y, Yang S. Bayesian network based C2P risk assessment for cyber-physical systems. IEEE Access: Practical Innovations, Open Solutions, 2020, 8: 88506–88517
|
114 |
Cardenas D J S, Hahn A, Liu C C. Assessing cyber-physical risks of IoT-based energy devices in grid operations. IEEE Access : Practical Innovations, Open Solutions, 2020, 8: 61161–61173
|
115 |
Bhuiyan M Z A, Anders G J, Philhower J,
|
116 |
Lyu X, Ding Y, Yang S. Safety and security risk assessment in cyber-physical systems. IET Cyber-Physical Systems: Theory & Applications, 2019, 4(3): 221–232
|
117 |
Roberts C, Scaglione A, Jamei M,
|
118 |
Venkataramanan V, Hahn A, Srivastava A C P S A M. Cyber-physical security assessment metric for monitoring microgrid resiliency. IEEE Transactions on Smart Grid, 2020, 11(2): 1055–1065
|
119 |
Zhang Y, Krishnan V V G, Pi J,
|
120 |
Oozeer M I, Haykin S. Cognitive risk control for mitigating cyber-attack in smart grid. IEEE Access: Practical Innovations, Open Solutions, 2019, 7: 125806–125826
|
121 |
Liu G, Xu Y, Tomsovic K. Bidding strategy for microgrid in day-ahead market based on hybrid stochastic/robust optimization. IEEE Transactions on Smart Grid, 2016, 7(1): 227–237
|
122 |
Yang Z, Wu R, Yang J,
|
123 |
Ding T, Liu S, Yuan W,
|
124 |
Zheng W, Wu W, Zhang B,
|
125 |
Chen S, Chen Q, Xu Y. Strategic bidding and compensation mechanism for a load aggregator with direct thermostat control capabilities. IEEE Transactions on Smart Grid, 2018, 9(3): 2327–2336
|
126 |
Hu J, Cao J, Guerrero J M,
|
127 |
Zhang G, Jiang C, Wang X,
|
128 |
Zhang G, Jiang C, Wang X. Comprehensive review on structure and operation of virtual power plant in electrical system. IET Generation, Transmission & Distribution, 2019, 13(2): 145–156
|
129 |
Awerbuch S, Preston A. The Virtual Utility: Accounting, Technology and Competitive Aspects of the Emerging Industry. Boston, MA: Springer US, 1997
|
130 |
Yang Z, Wu R, Yang J,
|
131 |
Lin J, Wan C, Song Y,
|
132 |
Xu Y, Xie L, Singh C. Optimal scheduling and operation of load aggregators with electric energy storage facing price and demand uncertainties. In: 2011 North American Power Symposium. Boston, MA, USA, 2011
|
133 |
Wang L, Zhu Z, Jiang C,
|
134 |
Wang L, Jiang C, Gong K,
|
135 |
Sharma S, Verma A, Xu Y,
|
136 |
Wen S, Zhang C, Lan H,
|
137 |
Zolezzi J M, Rudnick H. Transmission cost allocation by cooperative games and coalition formation. IEEE Transactions on Power Systems, 2002, 17(4): 1008–1015
|
138 |
Molina Y P, Saavedra O R, Amarís H. Transmission network cost allocation based on circuit theory and the aumann-shapley method. IEEE Transactions on Power Systems, 2013, 28(4): 4568–4577
|
139 |
Li B, Wang X, Shahidehpour M,
|
140 |
Zhang Z, Li R, Li F. A novel peer-to-peer local electricity market for joint trading of energy and uncertainty. IEEE Transactions on Smart Grid, 2020, 11(2): 1205–1215
|
141 |
Nezamabadi H, Vahidinasab V. Arbitrage strategy of renewable-based microgrids via peer-to-peer energy-trading. IEEE Transactions on Sustainable Energy, 2021, 12(2): 1372–1382
|
142 |
AlAshery M K, Yi Z, Shi D,
|
143 |
Hamouda M R, Nassar M E, Salama M M A. A novel energy trading framework using adapted blockchain technology. IEEE Transactions on Smart Grid, 2021, 12(3): 2165–2175
|
144 |
Jin Y, Wang H, Chugh T,
|
145 |
Huang P, Wang H, Ma W. Stochastic ranking for offline data-driven evolutionary optimization using radial basis function networks with multiple kernels. In: 2019 IEEE Symposium Series on Computational Intelligence, Xiamen, China, 2019
|
146 |
Huang P, Wang H, Jin Y. Offline data-driven evolutionary optimization based on tri-training. Swarm and Evolutionary Computation, 2021, 60: 100800
|
147 |
Wang X, Shahidehpour M, Jiang C,
|
148 |
Wang X, Li Z, Shahidehpour M,
|
149 |
Gong K, Wang X, Jiang C,
|
150 |
Tao M, Ota K, Dong M. Foud: integrating fog and cloud for 5G-enabled V2G networks. IEEE Network, 2017, 31(2): 8–13
|
151 |
Zhang Y, Li J, Zheng D,
|
152 |
Zhang Y, Zhao J, Zheng D. Efficient and privacy-aware power injection over AMI and smart grid slice in future 5G networks. Mobile Information Systems, 2017, 2017: 1–11
|
153 |
Zhou Y, Li L. The 5G communication technology-oriented intelligent building system planning and design. Computer Communications, 2020, 160: 402–410
|
154 |
Kumar A, Dhanagopal R, Albreem M A,
|
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〈 |
|
〉 |