Abstract
This chapter attempts to find the right strategy to utilize the loads on Flores and São Miguel most efficiently, in order to make the power systems of those islands sustainable and clean. In exploring the right technologies for the island, we recognize the need for different demand response program schemes for different loads. We differentiate the different types of loads according to their physical attributes and define the right decision tools and time frames for each type. The time frames of control range from the scheduling and shifting of seasonal or weekly loads to rescheduling some flexible loads days ahead of consumption, and adjusting the energy consumption of some loads in near real time. Specific examples of the loads on both Flores and São Miguel are also given, along with detailed descriptions of the numeric values of the loads and their ability to adjust to system conditions or price.
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Notes
- 1.
All the equations and parameters regarding the heat sources and the temperature from them were taken from The Engineering Toolbox (http://www.engineeringtoolbox.com).
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Acknowledgments
Most of the data on the specific end-users on São Miguel were obtained from a survey conducted by Canay Ozden, doctoral student in History, Anthropology, Science, Technology, and Society at MIT. The authors are grateful for her work.
This work was supported partly by Semiconductor Research Corporation (SRC) Energy Research Initiative (ERI) for Smart Grid Research Center (SGRC) Task 2111.001 Adaptive Load Management, and partly by the Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) through the Carnegie Mellon Portugal Program. The authors are grateful to each sponsor for their financial support.
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Joo, JY., Donadee, J., Ilić, M. (2013). Assessing the Ability of Different Types of Loads to Participate in Adaptive Load Management. In: Ilic, M., Xie, L., Liu, Q. (eds) Engineering IT-Enabled Sustainable Electricity Services. Power Electronics and Power Systems, vol 30. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09736-7_8
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DOI: https://doi.org/10.1007/978-0-387-09736-7_8
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