farhad nourozi
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The household energy management system (HEMS) can optimally schedule home appliances for transferring loads from peak to off-peak times. Consumers of smart houses have HEM, renewable energy sources and storage systems to reduce the bill. In this article, a new HEM model based on the time of usage pricing planning with renewable energy systems is proposed to use the energy more efficiently. The new meta-heuristic whale optimization algorithm (WOA) and the common meta-heuristic of particle swarm optimization (PSO) are used to achieve that. To improve the performance, a mapping chaos theory (CWOA) is proposed. Also, an independent solar energy source is used as a support of the microgrid to achieve a better performance. It is concluded that the energy saving achieved by the proposed algorithm is able to decrease the electricity bill by about 40-50% rather than the WOA and PSO methods. The proposed system is simulated in MATLAB environment.
Keywords: Chaos Whale optimization (CWOA), Distributed Energy Resources (DER), Household Energy Management System (HEMS), Particle Swarm Optimization (PSO), Renewable Energy Systems (RES), Smart time Scheduling (SS) -
In a greenhouse study, decontamination capacity of the species Polypogon monspoliensis was investigatedfor detoxification of petroleum-polluted soils caused by sewage and waste materials of Tehran Petroleum Refinery. For this purpose, the amount of total oil and grease before and 45 days after transplanting one-month-old seedlings in the soils of five different treatments were measured. Pollution-free agricultural soil and contaminated soil were mixed together with the weight ratios of 1 to 9 (%10), 2 to 8 (%20), 3 to 7 (%30), 4 to 6 (%40), and 5 to 5 (%50). These were then compared with the amounts obtained from control treatment without vegetation, but with the same concentration of pollution. Findings demonstrated that the maximum reduction in the petroleum rate (84.85%) was related to the treatment of 10% contamination containing the plant. Increase in the shoot height in treatments 10% and 20% as well as the root dry and fresh weight in treatments 10% , 20% , and 30% shows that probably activity of more rhizosphere microorganisms of the plant in these treatments has led to the improvement in the growth of plant organs comparing to the treatments without pollution.Keywords: phytoremediation, total oil, grease, rhizosphere, microorganisms, petroleum, contaminated soil
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