Abstract-The motivation to manage energy usage at residential home is influenced by the continuous evolution of smart grid technology and economics environmental condition. The evolution of smart grid technology will allow consumers to make more informed decisions about their energy consumption, adjusting both the timing and quantity of their electricity use. This demand side management offers the promise of cutting costs for commercial customers, saving money for households and helping utilities operate more efficiently in turn reducing emissions of green house gases. This paper proposes a IOT based energy monitoring and controlling system that can monitor energy usage by measuring voltage and current of different appliances continuously or during the peak periods in a residential house and have control over the overall loads consumption on priority of the devices when the consumption of the residential house exceeds the preset threshold limit thereby reducing their energy consumption overall. Furthermore this can also determine whether an appliance is drawing unusually high amounts of power than its rated power consumption. In this way electricity consumption and cost can also be reduced. These consumptions are displayed through GSM module and webpage display.
ABSTRACT:Project planning is the important task in many areas like construction, resource allocation and many. A sequence of activities has to be performed to complete one task. Each activity has its unique processing time and all together to identify the critical activities which affect the completion of the project. In this paper the probabilistic and deterministic models to determine the project completion time and also the critical activities are considered. A case study on building construction project has been performed to demonstrate the application of the above said models. The two project scheduling namely PERT and CPM are used to determine numerically the different types of floating times of each activity and hence determined the critical path which plays an important role in the project completion time. Also a linear programing model has been developed to reduce the project completion time which optimize the resource allocation. To apply these techniques numerically the primary data from a housing project company in a metropolitan city has been taken, the network diagram of the activities involved in the building construction project has been drawn and the results are tabulated.
Advancement of energy exploitation increased the demand for various alternative generation methods and efficient production and utilization systems. Such kind of alternative energy systems would be of great use in certain terrains like dry lands wherein drought is prevalent and scope for solar photovoltaic (PV) installations is cost-effective and a viable solution for power demand. Ramanathapuram is one such dry land in southern part of India which is a drought prone coastal district, which has surplus wind and solar energy to be harnessed effectively. However as PV systems are affected by various conditions like position of the sun, change in temperature, and irradiance due to passing clouds, improving the intermittency of solar power is mandatory which calls for an energy storage system, which is an electric vehicle in this article. The foremost idea behind this article is to develop a self-sustained hybrid microgrid incorporating an electric vehicle in combination with the solar power system which enhances the performance of the system by absorbing the variations in power produced. In this work, the real field data from National Institute of Wind Energy (NIWE) is used to show the variation in temperature and irradiance. The main objective of the article is sustainable development of the dry land through natural resources which helps in the development of a permanent solution for the existing power crisis in the district. A coordinated control of a PV, Wind, and EV based microgrid is designed by considering the state-of-charge (SOC) of the battery to obtain desired outcome. The modeling is done in PSCAD/EMTDC and the results are verified through simulation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.