Abstract
Energy harvesting (EH) is a process in which ambient energies are utilized to form effective energies using various advanced techniques. Growing demand for energy in major end-use industries and green powered technologies are expected to drive the overall EH market. Indeed, the significant growth of the market can be attributed to the increasing installation of wireless sensor networks (WSNs) and Internet of Things (IoT) which are expected to boost the EH market through increasing self-powered sensors. In general, this chapter investigates the EH framework based on energy sources and technologies, intelligent solutions, and market opportunities.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Abbreviations
- AP:
-
Access point
- BS:
-
Base station
- CH:
-
Cluster head
- D2D:
-
Device-to-device
- EE:
-
Energy efficiency
- EH:
-
Energy harvesting
- HER:
-
Energy harvesting rate
- EHT:
-
Energy harvesting technology
- FIS:
-
Fuzzy inference system
- FQLA:
-
Fuzzy Q-learning algorithm
- HetNet:
-
Heterogeneous network
- ICT:
-
Information and communication technology
- IoT:
-
Internet of Things
- GHG:
-
Greenhouse gas
- M2M:
-
Machine-to-machine
- PS:
-
Power station
- QLA:
-
Q-learning algorithm
- QoS:
-
Quality of service
- RF:
-
Radio frequency
- RL:
-
Reinforcement learning
- RPS:
-
Renewable power supplier
- RES:
-
Renewable energy source
- SG:
-
Smart grid
- WPT:
-
Wireless power transfer
- WSN:
-
Wireless sensor network
- UDN:
-
Ultradense network
- UE:
-
User equipment
- UWB:
-
Ultrawide band
References
H. Schaffers et al., Smart cities and the future internet: towards cooperation frameworks for open innovation, in The Future Internet, Lect. Notes Comput. Sci., vol. 6656 (2011), pp. 431–446
S. Chen et al., A vision of IoT: applications, challenges, and opportunities with China perspective. IEEE Internet Things J. 1(4), 349–359 (2014)
O. Vermesan, P. Friess, Internet of Things strategic research and innovation agenda, in Internet of Things—Converging Technologies for Smart Environments and Integrated Ecosystems, (River Publishers, Denmark, 2013)
L. Atzori et al., The Internet of Things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)
A. Zanella et al., Internet of Things for smart cities. IEEE Internet Things J. 1(1), 22–32 (2014)
S. Sudevalayam, P. Kulkarni, Energy harvesting sensor nodes: survey and implications. IEEE Commun. Surv. Tutorials 13(3), 443–461 (2011)
J.W. Matiko et al., Review of the application of energy harvesting in buildings. Meas. Sci. Technol. 25(1), 1–25 (2013)
J.A. Paradiso, T. Starner, Energy scavenging for mobile and wireless electronics. IEEE Perv. Comput. 4, 18–27 (2005)
V. Raghunathan, C. Schurgers, P. Sung, M.B. Srivastava, Energy-aware wireless microsensor networks. IEEE Signal Process. Mag. 19, 40–50 (2002)
S. Roundy, Energy Scavenging for Wireless Sensor Nodes with a Focus on Vibration to Electricity Conversion, Ph.D. Dissertation, Dept. of EECS, UC Berkeley, May 2003
J. Rabaey, M.J. Ammer, J.L. Silva, D. Patel, S. Roundy, Picaradio supports ad hoc ultra-low power wireless networking. IEEE Comput. 33, 42–48 (2000)
J.H. Kansal, S. Zahedi, M.B. Srivastava, Power management in energy harvesting sensor networks. ACM Trans. Embed. Comput. Syst. 6(4), 32 (2007)
Microstrain Press Release, Microstrain wins navy contract for developing energy-harvesting wireless sensors (July 2006), http://www.microstrain.com/news/article-65.aspx
J. Ieropoulos, C.M. Greenman, J. Hart, Comparative study of three types of microbial fuel cells. Enzym. Microb. Technol. 37, 238–245 (2005)
Y.K. Tan, LinkedIn SlideShare (2009), [Online], https://de.slideshare.net/tanyenkheng/energyharvesting-presentation-rjc-tyk-2
A.S. Adila, A. Husam, G. Husi, Towards the self-powered Internet of Things (IoT) by energy harvesting: trends and technologies for green IoT, in 2nd IEEE International Symposium on Small-scale Intelligent Manufacturing Systems (SIMS) (2018) pp. 1–5
P. Kamalinejad et al., Wireless energy harvesting for the Internet of Things. IEEE Commun. Mag. 53(6), 102–108 (2015)
J. Han, J. Hu, Y. Yang, Z. Wang, S.X. Wang, J. He, A nonintrusive power supply design for self-powered sensor networks in the smart grid by scavenging energy from ac power line. IEEE Trans. Ind. Electron. 62(7), 4398–4407 (2015)
B. Fateh, M. Govindarasu, V. Ajjarapu, Wireless network design for transmission line monitoring in smart grid. IEEE Trans. Smart Grid 4(2), 1076–1086 (2013)
J.L. Wardlaw, I. Karaman, A.I. Karsilayan, Low-power circuits and energy harvesting for structural health monitoring of bridges. IEEE Sensors J. 13(2), 709–722 (2013). L. Zhou, A.C. Abraham
S.Y. Tang, S. Chakrabartty, A 5nw quasi-linear CMOS hot-electron injector for self-powered monitoring of biomechanical strain variations. IEEE Trans. Biomed. Circ. Syst. 10(6), 1143–1151 (2016)
C. Zhu, V.C.M. Leung, L. Shu, E.C.-H. Ngai, Green Internet of Things for smart world. IEEE Access 3, 2151–2162 (2015)
A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, M. Ayyash, Internet of Things: a survey on enabling technologies, protocols, and applications. IEEE Commun. Surv. Tutorials 17(4), 2347–2376 (2015)
Z. Wang, X. Qin, B. Liu, An energy-efficient clustering routing algorithm for WSN-assisted IoT, in IEEE Wireless Communications and Networking Conference (WCNC) (2018), pp. 1–6
H. Hejazi, H. Rajab, T. Cinkler, L. Lengyel, Survey of platforms for massive IOT, in 2018 IEEE International Conference on Future IoT Technologies (Future IoT), IEEE, pp. 1–8
T. Ruan, Z.J. Chew, M. Zhu, Energy-aware approaches for energy harvesting powered wireless sensor nodes. IEEE Sensors J. 17(7), 2165–2173 (2017)
F.H. Panahi, A. Falahati, Spectral efficient impulse radio-ultra-wideband transmission model in presence of pulse attenuation and timing jitter. IET Commun. 6(11), 1544–1554 (2012)
F.H. Panahi, F.H. Panahi, M. Ghaderzadeh, A. Mohammadisarab, M2M communications as a promising technique to support green powered base stations, in 2019 27th Iranian Conference on Electrical Engineering (ICEE), Yazd, Iran (2019), pp. 1654–1658
F.H. Panahi, F.H. Panahi, S. Heshmati, T. Ohtsuki, Optimal sleep & wakeup mechanism for green Internet of Things, in 2019 27th Iranian Conference on Electrical Engineering (ICEE), Yazd, Iran (2019), pp. 1659–1663
F.H. Panahi, P. Hajimirzaee, S. Erfanpoor, F.H. Panahi, T. Ohtsuki, Smart image-processing based energy harvesting for green Internet of Things, in 2018 Smart Grid Conference (SGC), Sanandaj, Iran (2018), pp. 1–5
F.H. Panahi, S. Moshirvaziri, A. Momene, F.H. Panahi, T. Ohtsuki, D2D-aided optimal utilization of renewable energies for green powered base stations, in 2018 Smart Grid Conference (SGC), Sanandaj, Iran (2018), pp. 1–6
F.H. Panahi, P.F.i.Z.H. Panahi, Spectral-efficient green wireless communications via cognitive UWB signal model. Automatika 57(3), 793–809 (2016)
F.H. Panahi, A. Falahati, Joint IR-UWB power spectral lines and interference suppression based on coded auxiliary independent signaling in presence of pulse attenuation and timing jitter. Wirel. Pers. Commun. 69(4), 1241–1260 (2013)
A. Falahati, F.H. Panahi, Spectrally efficient ultra wideband transmission over wireless sensor networks, in IET Conference on Wireless Sensor Systems (WSS 2012) (2012)
W. Ejaz, M. Naeem, A. Shahid, A. Anpalagan, M. Jo, Efficient energy management for the Internet of Things in smart cities. IEEE Commun. Mag. 55(1), 84–91 (2017)
G. Yang, C.K. Ho, Y.L. Guan, Dynamic resource allocation for multiple-antenna wireless power transfer. IEEE Trans. Signal Process. 62(14), 3565–3577 (2014)
X. Lu, P. Wang, D. Niyato, D. In Kim, Z. Han, Wireless networks with RF energy harvesting: a contemporary survey. IEEE Commun. Surv. Tutorials 17(2), 757–789 (2015)
P. Kamalinejad, C. Mahapatra, Z. Sheng, S. Mirabbasi, V.C.M. Leung, Y.L. Guan, Wireless energy harvesting for the Internet of Things. IEEE Commun. Mag. 53(6), 102–108 (2015)
D. Vincze, Fuzzy rule interpolation and reinforcement learning, in IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) (2017), pp. 000173–000178
F.H. Panahi, F.H. Panahi, G. Hattab, T. Ohtsuki, D. Cabric, Green heterogeneous networks via an intelligent sleep/wake-up mechanism and D2D communications. IEEE Trans. Green Commun. Netw. 2(4), 915–931 (2018)
T. Podobnikar, Detecting mountain peaks and delineating their shapes using digital elevation models, remote sensing and geographic information systems using autometric methodological procedures. Remote Sens. 4(3), 784–809 (2012)
G. Han, J. Zhang, X. Mu, Joint optimization of energy harvesting and detection threshold for energy harvesting cognitive radio networks. IEEE Access 4, 7212–7222 (2016)
C. Qiu, Y. Hu, Y. Chen, B. Zeng, Lyapunov optimization for energy harvesting wireless sensor communications. IEEE Internet Things J. 5(3), 1947–1956 (2018)
Z. Wang, V. Aggarwal, X. Wang, Joint energy-bandwidth allocation in multiple broadcast channels with energy harvesting. IEEE Trans. Commun. 63(10), 3842–3855 (2015)
Z. Ullah, I. Ahmed, T. Ali, N. Ahmad, F. Niaz, Y. Cao, Robust and efficient energy harvested-aware routing protocol with clustering approach in body area networks. IEEE Access 7, 33906–33921 (2019)
J. Liu, C.R. Lin, J. Tsai, Delay and energy tradeoff in energy harvesting multi-hop wireless networks with inter-session network coding and successive interference cancellation. IEEE Access 5, 544–564 (2017)
K. Chin, L. Wang, S. Soh, Joint routing and links scheduling in two-tier multi-hop RF-energy harvesting networks. IEEE Commun. Lett. 20(9), 1864–1867 (2016)
H. Zhang, Y. Guo, Z. Zhong, W. Wu, Cooperative integration of RF energy harvesting and dedicated WPT for wireless sensor networks. IEEE Microwave Wireless Compon. Lett. 29(4), 291–293 (2019)
S.H. Kang, J.H. Choi, F.J. Harackiewicz, C.W. Jung, Magnetic resonant three-coil WPT system between off/in-body for remote energy harvest. IEEE Microwave Wireless Compon. Lett. 26(9), 741–743 (2016)
S. Wang, M. Xia, K. Huang, Y. Wu, Wirelessly powered two-way communication with nonlinear energy harvesting model: rate regions under fixed and Mobile relay. IEEE Trans. Wireless Commun. 16(12), 8190–8204 (2017)
Y. Tang, A. Khaligh, A multi-input bridgeless resonant AC–DC converter for electromagnetic energy harvesting. IEEE Trans. Power Electron. 31(3), 2254–2263 (2016)
F.A. Samad, M.F. Karim, V. Paulose, L.C. Ong, A curved electromagnetic energy harvesting system for wearable electronics. IEEE Sensors J. 16(7), 1969–1974 (2016)
Y. Chen, F. Lai, J. You, Analysis of antenna radiation characteristics using a hybrid ray tracing algorithm for indoor WiFi energy-harvesting rectennas. IEEE Access 7, 38833–38846 (2019)
G. Pan, H. Lei, Y. Yuan, Z. Ding, Performance analysis and optimization for SWIPT wireless sensor networks. IEEE Trans. Commun. 65(5), 2291–2302 (2017)
T. Liu, X. Wang, L. Zheng, A cooperative SWIPT scheme for wirelessly powered sensor networks. IEEE Trans. Commun. 65(6), 2740–2752 (2017)
S. Gong, S. Ma, C. Xing, G. Yang, Optimal beam-forming and time allocation for partially wireless powered sensor networks with downlink SWIPT. IEEE Trans. Signal Process. 67(12), 3197–3212 (2019)
Q. Zhao, Y. Shen, M. Li, Control and bidding strategy for virtual power plants with renewable generation and inelastic demand in electricity markets. IEEE Trans. Sustainable Energy 7(2), 562–575 (2016)
J. Knudsen, J. Hansen, A.M. Annaswamy, A dynamic market mechanism for the integration of renewables and demand response. IEEE Trans. Control Syst. Technol. 24(3), 940–955 (2016)
D. Li, W. Saad, I. Guvenc, A. Mehbodniya, F. Adachi, Decentralized energy allocation for wireless networks with renewable energy powered base stations. IEEE Trans. Commun. 63(6), 2126–2142 (2015)
J. Shen, A. Khaligh, A supervisory energy management control strategy in a battery/ultracapacitor hybrid energy storage system. IEEE Trans. Transport. Electr. 1(3), 223–231 (2015)
R.H. Byrne, T.A. Nguyen, D.A. Copp, B.R. Chalamala, I. Gyuk, Energy management and optimization methods for grid energy storage systems. IEEE Access 6, 13231–13260 (2018)
I.N. Moghaddam, B.H. Chowdhury, S. Mohajeryami, Predictive operation and optimal sizing of battery energy storage with high wind energy penetration. IEEE Trans. Ind. Electron. 65(8), 6686–6695 (2018)
A.E. Abdulhadi, T.A. Denidni, Self-powered multi-port UHF RFID tag-based-sensor. IEEE J. Radio Freq. Identif. 1(2), 115–123 (2017)
S. Seneviratne et al., A survey of wearable devices and challenges. IEEE Commun. Surv. Tutorials 19(4), 2573–2620 (2017)
C. Dong, S. Li, R. Han, Q. He, X. Li, D. Xu, Self-powered wireless sensor network using event-triggered energy harvesters for monitoring and identifying intrusion activities. IET Power Electron. 12(8), 2079–2085 (2019)
J. Ikäheimo, E. Pursiheimo, J. Kiviluoma, H. Holttinen, Role of power to liquids and biomass to liquids in a nearly renewable energy system. IET Renew. Power Gener. 13(7), 1179–1189 (2019)
X. Chen, Y. Wang, Q. Wu, A bio-fuel power generation system with hybrid energy storage under a dynamic programming operation strategy. IEEE Access 7, 64966–64977 (2019)
J. Katic, S. Rodriguez, A. Rusu, A high-efficiency energy harvesting interface for implanted biofuel cell and thermal harvesters. IEEE Trans. Power Electron. 33(5), 4125–4134 (2018)
H. Liu, X. Zhao, H. Liang, Z. Li, POMDP-based energy cooperative transmission policy for multiple access model powered by energy harvesting. IEEE Trans. Veh. Technol. 68(6), 5747–5757 (2019)
S. Kosunalp, A new energy prediction algorithm for energy-harvesting wireless sensor networks with Q-learning. IEEE Access 4, 5755–5763 (2016)
X. He, H. Jiang, Y. Song, C. He, H. Xiao, Routing selection with reinforcement learning for energy harvesting multi-hop CRN. IEEE Access 7, 54435–54448 (2019)
S. Xiao, X. Zhou, D. Feng, Y. Yuan-Wu, G.Y. Li, W. Guo, Energy-efficient mobile association in heterogeneous networks with device-to-device communications. IEEE Trans. Wirel. Commun. 8, 5260–5271 (2016)
R. Atat, L. Liu, N. Mastronarde, Y. Yi, Energy harvesting-based D2D-assisted machine-type communications. IEEE Trans. Commun. 65(3), 1289–1302 (2017)
F.H. Panahi, F.H. Panahi, G. Hattab, T. Ohtsuki, D. Cabrici, Green heterogeneous networks via an intelligent power control strategy and D2D communications, in 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, QC (2017), pp. 1–8
Y. Ma, W. Liang, W. Xu, Charging utility maximization in wireless rechargeable sensor networks by charging multiple sensors simultaneously. IEEE/ACM Trans. Netw. 26(4), 1591–1604 (2018)
R. Deng, S. He, P. Cheng, Y. Sun, Towards balanced energy charging and transmission collision in wireless rechargeable sensor networks. J. Commun. Netw. 19(4), 341–350 (2017)
Y. Shu et al., Near-optimal velocity control for mobile charging in wireless rechargeable sensor networks. IEEE Trans. Mobile Comput. 15(7), 1699–1713 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Panahi, F.H., Panahi, F.H. (2020). Energy Harvesting Technologies and Market Opportunities. In: Nojavan, S., Zare, K. (eds) Electricity Markets. Springer, Cham. https://doi.org/10.1007/978-3-030-36979-8_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-36979-8_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-36978-1
Online ISBN: 978-3-030-36979-8
eBook Packages: EnergyEnergy (R0)