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To avoid the excessive suppression of electricity demand caused by conservative planning of electricity price, real-time minute-to-minute control of the electricity price, which is called real-time pricing, is required. However, the electricity demand response has the dynamics on a timescale shorter than an hour, which can cause catastrophic incidents if the real-time pricing is done without ample...
Mines in general, make use of compressed air systems for daily operational activities. Compressed air on mines is traditionally distributed via compressed air ring networks where multiple shafts are supplied with compressed air from an integral system. These compressed air networks make use of a number of compressors feeding the ring from various locations in the network. While these mines have sophisticated...
In this paper we look at the problem of peak power reduction for buildings with electric radiant floor heating systems. Uncoordinated operation of a multi-zone radiant floor heating system can result in temporally correlated electricity demand surges or peaks in the building's electricity consumption. As peak power prices are 200–400 times that of the nominal rate, this uncoordinated activity can...
A building energy consumption model is presented. The purpose of the model is to provide a test bed to develop Dynamic Load Control (DLC) algorithms and investigate the implications of these to humans in office buildings. The idea of Dynamic Load Control is to manage loads in such a way that the power available from unpredictable sources can be utilized most effectively. In the case of buildings,...
Compressed Air Energy Storage (CAES) is besides pumped hydropower, the other solution for large energy storage capacity. It can balance fluctuations in supply and demand of electricity. CAES is essential part of smart power grids. Linked with the flow structure and dynamic characteristic of electricity generation subsystem and its components, a simulation model is proposed. Thermo-dynamical performance...
A large number of A/C units potentially represents a substantial flexible load susceptible to be leveraged for Demand-Side Management (DSM) purposes. However, in such a scenario, a drop in quality of service (QoS), i.e. an uncomfortable increase in temperature, is to be expected as some cooling-down is delayed to achieve peak reduction. We present the results of a simulation study designed to test...
This paper describes an algorithm to deal with the scheduling problem in the Microgrids management. The proposed implementation includes the modelling of domestic electrical devices and takes into account the variable electricity market price.
Compressed Air Energy Storage (CAES) has been touted as the next generation bulk storage technology that is capable of effectively addressing the wind variability issue, and provide flexible and economic generation. This work develops a state space model for CAES that enables to monitor the dynamic status of the CAES storage module. The developed state space model is used to design a simulation based...
A model-based predictive control (MPC) is designed for optimal thermal energy storage in building cooling systems. We focus on buildings equipped with a water tank used for actively storing cold water produced by a series of chillers. Typically the chillers are operated at night to recharge the storage tank in order to meet the building demands on the following day. In this paper, we build on our...
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