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This work addresses an energy management problem in smart grid with the relationship between the operating states and the energy consumption of the loads taken into consideration. The energy management problem is modeled as a nonlinear optimization problem. In the constraints, the operation-to-energy functions and the probability of exceeding the energy supply under forecast errors are included. Furthermore,...
A reliable supply of electrical energy is critically important to the United States Armed Forces operating in deployed environments. Reducing energy requirements through utilizing renewable energy platforms, such as solar photovoltaics, can be effective at reducing the operational cost and risk. This work quantifies the impacts of high thermal efficiency structures with integrated solar photovoltaic...
There is a major demand for reducing energy consumption in mobile networks and it is expected become even more vital in the future (5G) multi-layer Ultra Dense Networks (UDNs), in which the number and density of cells in the different layers will grow dramatically. In these networks, multiple geographically overlapping layers are deployed to increase the capacity and throughput, but also increasing...
The number of telecommunication base stations is increasing all over the world due to an ever increasing communication demand. As a result, energy savings play an important role in our future and sustainable network architecture. In a typical base station, electronics cooling normally accounts for 25–50% of the total energy consumption, traditionally provided by air conditioning systems. The service...
Several approaches have been proposed according the concepts of smart grids and the smart home is one of them. A smart home can be defined as a system with network communication between all devices allowing the control, monitoring and remote access of the management system, progressing in a generalized way of all loads for an individual way, through individual management of loads. The paper proposes...
The moisture movement and heat transfer are highly coupled within building materials. The correct evaluation of these phenomena is important for accurately predicting the heat and moisture flows for thermal performance and building energy consumption analysis. In order to analyze the effect of moisture levels on a drying building energy performance, the heat and moisture coupling transfer of building...
Faced with an uncertain path forward to renewables portfolio standard (RPS) goals and the high cost of energy storage, we believe that deep demand side management must be a central strategy to achieve widespread penetration of renewable energy sources. We examine the variability of wind as a source of renewable, non-dispatchable energy and the loads that can be dispatched to match sources of this...
This paper examines optimal control strategies for temperature set point in office buildings. The control strategies included a base control strategy of fixed temperature set point and an advanced strategy. The advanced control for utilizing building thermal mass adjusts the temperature set point while assuring indoor thermal comfort. The optimization problem for control strategy is formulated based...
Many building designers believe that thermal mass can significantly enhance the thermal performance of buildings in cold climate. This paper presents the technical details of a computational simulation study, showing that thermal mass distribution do not generate significant energy saving for a high-rise apartment buildings in cold climate. Six configurations, each with different level of thermal...
Based on the investigation to 59 residential buildings in China, this study establishes the prediction model of annual energy consumption of residential buidlings using four different modeling methods such as support vector machine (SVM), traditional back propagation neural network (BPNN), radial basis function neural network (RBFNN) and general regression neural network (GRNN). The simulation results...
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