The paper "Assessing Factors Smart Technologies " is an excellent example of a research paper on technology. The turn of the century came with a great technological revolution that has changed a lot of things over the years. The energy industry has not been left behind as the conventional energy systems are being upgraded to smart ones. A smart energy system calls for several changes to a number of different parts of the system. These individual parts are unique in the ways they operate and the role they play in the system and thus need to be optimized differently.
The main aim of coming up with a smart energy system is to achieve efficient power management. Several smart technologies that build up the overall smart system have been developed over the years, and as far as they are concerned, they can be considered to be very promising. The report below assesses the smart technologies being put in place and takes a look at how they help the system, without leaving out their various downfalls. It also picks out a couple of smart technologies and analyzes their system-level while pointing out the potential challenges at stake. Introduction. The major players affiliated with the energy cycle are continually embracing the smart technologies being put in place to enhance power management.
The technologies tasked with achieving this primary goal of power management complement each other and are at different points of the energy cycle. The energy cycle simply refers to the production, transmission, distribution, and consumption of energy in this particular context. The smartness of the grid lies on each and every point of the cycle in that there is a need for smart technologies at the production, distribution, transmission and consumption point.
Failures in the system occur at different points, and they derail the efficiency in no small way. Smart technologies have been seen to include the feature of a distributed generation which is an added advantage. Some of these smart technologies include smart metering, Plug-in electric vehicle, smart lighting systems, Virtual power plant and microgrid among others. The list of these technologies is quite long since more of them are being discovered a day in day out. Looking critically at the design of these technologies, it is evident that they help solve different problems.
The smart grid aims at solving the downfalls of the old energy system and making things run more smoothly. For instance, if you take an example of the old lighting system, you will see that it was full of flaws, for instance, it's high energy consumption and the power wastages that come about when people leave their lights on and forget to switch them off. Such issues are what the smart lighting system tries to solve.
Taking another step and looking at the normal grid, you will see that numerous load faults will occur, which in turn affect the voltages and currents of the power transmission lines. These faults are endless, and an ideal smart energy system will be able to solve all of them effectively. Literature Survey. Energy efficiency is a major objective of the smart energy vision. It is simply the combined effort aimed at reducing the amount of energy used to deliver products and services. Lighting forms, a major part of the energy consumed both domestically and industrially.
In that accord, lighting control is seen to be a great way to cut down the consumption of energy and reducing the wastage of energy.
Amin, S. M., & Wollenberg, B. F. (2005). Toward a smart grid: power delivery for the 21st century. IEEE Power and Energy magazine, 3(5), 34-41.
Bassett, D. R., Ainsworth, B. E., Swartz, A. M., Strath, S. J., O Brien, W. L., & King, G. A. (2000). The validity of four motion sensors in measuring moderate-intensity physical activity. Medicine and science in sports and exercise, 32(9; SUPP/1), S471-S480.
Brown, R. E. (2008, July). Impact of smart grid on distribution system design. In Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE (pp. 1-4). IEEE.
Caicedo, D., Pandharipande, A., & Vissenberg, M. (2014). Smart modular lighting control system with dual-beam luminaires. Lighting Research And Technology, 47(4), 389-404. http://dx.doi.org/10.1177/1477153514530982
Castro, M., Jara, A. J., & Skarmeta, A. F. (2013, March). Smart lighting solutions for smart cities. Advanced information networking and applications workshops (WAINA), 2013 27th International Conference on (pp. 1374-1379). IEEE.
Dong, F., & Sanderson, A. (2014). A dynamic adaptive light field sampling approach for smart lighting control. Lighting Research & Technology, 46(5), 593-614. http://dx.doi.org/10.1177/1477153513502030
Gungor, V. C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., & Hancke, G. P. (2011). Smart grid technologies: Communication technologies and standards. IEEE Transactions on Industrial Informatics, 7(4), 529-539.
Hassaine, L., Olias, E., Quintero, J., & Haddadi, M. (2009). Digital power factor control and reactive power regulation for the grid-connected photovoltaic inverter. Renewable Energy, 34(1), 315-321.
Higuera, J., Hertog, W., Perálvarez, M., & Polo, J. (2015). Smart Lighting System ISO/IEC/IEEE 21451 Compatible. IEEE SENSORS JOURNAL, 15(5).
Kato, Y.K., Myers, R.C., Gossard, A.C. and Awschalom, D.D., 2004. Observation of the spin Hall effect in semiconductors. Science, 306(5703), pp.1910-1913.
Ketchledge, J. Successful smart grid implementation (1st ed.).
Lagrange, A., Bono, H., & Templier, F. (2016). A monolithic LED array for smart lighting sources. SPIE Newsroom. http://dx.doi.org/10.1117/2.1201601.006287
Luan, S. W., Teng, J. H., Chan, S. Y., & Hwang, L. C. (2009, November). Development of a smart power meter for AMI based on ZigBee communication. In Power Electronics and Drive Systems, 2009. PEDS 2009. International Conference on (pp. 661-665). IEEE.
McDaniel, P., & McLaughlin, S. (2009). Security and privacy challenges in the smart grid. IEEE Security & Privacy, 7(3).
Martirano, L. (2011, September). Smart lighting control to save energy. In Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on (Vol. 1, pp. 132-138). IEEE.
Niyato, D., Xiao, L., & Wang, P. (2011). Machine-to-machine communications for home energy management system in the smart grid. IEEE Communications Magazine, 49(4).
Pool, R. (2012). Smart Living: Smart materials. Engineering & Technology, 7(6), 31. http://dx.doi.org/10.1049/et.2012.0617
Standard 21451-7:2011(E), Feb. 2012.
Venables, M. (2007). Smart meters make smart consumers. Engineering & Technology, 2(4), 23-23. http://dx.doi.org/10.1049/et:20070401
Yoshioka, D. (2002). The quantum Hall effect (1st ed.). Berlin: Springer.
Zarándy, A. (2011). Focal-plane sensor-processor chips (1st ed.). New York: Springer.