Abstract
The Republic of Korea (ROK) has four distinct seasons. Such an environment provides many benefits, but also brings some major problems when using new and renewable energies. The rainy season or typhoons in summer become the main causes of inconsistent production rates of these energies, and this would become a fatal weakness in supplying stable power to the industries running continuously, such as the aquaculture industry. This study proposed an improvement plan for the efficiency of Energy Storage System (ESS) and energy use. Use of sodium-ion batteries is suggested to overcome the disadvantages of lithium-ion batteries, which are dominant in the current market; a greedy algorithm and the Floyd–Warshall algorithm were also proposed as a method of scheduling energy use considering the elements that could affect communication output and energy use. Some significant correlations between communication output and energy efficiency have been identified through the OPNET-based simulations. The simulation results showed that the greedy algorithm was more efficient. This algorithm was then implemented with C-language to apply it to the Test Bed developed in the previous study. The results of the Test Bed experiment supported the proposals.
Highlights
The use of nuclear-powered energy may lead to cost reduction, it is not an inexpensive energy considering the cost of managing nuclear wastes and the future risk that mankind has to bear
The existing tool described here explains a dynamic a dynamic programming which derives an optimal or an approximate optimal solution to solve the two problems involved in the existing aquafarms by considering the communication efficiency, the energy efficiency affected by this communication efficiency as well as financial aspects based on a number of information pertaining to the importance of the ever-changing relative nodes in the communication process between Energy Storage System (ESS) along with actual of implementation method for the greedy algorithm and its expected effects
We will have several difficulties if we demonstrate the changes in the manipulating variables and resulting values using the program for example, by implementing actual hardware instead of using OPNET
Summary
The use of nuclear-powered energy may lead to cost reduction, it is not an inexpensive energy considering the cost of managing nuclear wastes and the future risk that mankind has to bear. The drawbacks of renewable energies do not have much influence as the power usage itself is small and the residents usually do not stay at home all the time This makes it possible for the family to have a power supply system with a simple-structured ESS and they would perceive that it to be satisfactory even if it is not that efficient. For the sites where a large volume of power is required with a sizable ESS (e.g., aquafarms, etc.), the power usages largely vary depending on the season or the environment so that if power is not supplied adequately, there will be serious economic losses or ethical problems Such a case is a good example of intuitively understanding the necessity of assuring a stable supply of power when using renewable energies. The existing tool described here explains a dynamic a dynamic programming (i.e., computational procedure approach) which derives an optimal or an approximate optimal solution to solve the two problems involved in the existing aquafarms by considering the communication efficiency, the energy efficiency affected by this communication efficiency as well as financial aspects based on a number of information pertaining to the importance of the ever-changing relative nodes in the communication process between ESS along with actual of implementation method for the greedy algorithm and its expected effects
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