Demand side management in urban district heating networks

The use of distributed thermal storage in district heating grids for demand side management

The work presented in this paper relates to a small scale district heating network heated by a gas fired CHP. In most common situations, such a CHP is heat driven operated, meaning that the CHP will switch on whenever heat is needed, while not taking into account the demand of electricity at that time. In this paper however, an active control strategy is developed, aiming to maximize the profit...

Determining Appropriate Buses and Networks for Applying Demand Side Management Programs by Structural Analysis of EENS

The main goal of this paper is to structurally analyze impact of DSM programs on reliability indices. A new approach is presented to structurally decompose reliability index Expected Energy Not Supplied (EENS) by using Monte Carlo simulation. EENS is decomposed into two terms. The first term indicates EENS which is caused by generation contingencies. The second term indicates EENS which is caus...

Foresighted Demand Side Management

We consider a smart grid with an independent system operator (ISO), and distributed aggregators who have energy storage and purchase energy from the ISO to serve its customers. All the entities in the system are foresighted: each aggregator seeks to minimize its own long-term payments for energy purchase and operational costs of energy storage by deciding how much energy to buy from the ISO, an...

District Heating Networks Calculation and Optimization

The first step in studying the behavior of a pipe network is to identify the objectives that must be attained and the physical and logical problems that must be solved; this aim can be achieved by building a suitable model of the network. The next step must be the operation of the model (which, for example, in the case of numerical models consists of using an appropriate algorithmic procedure) ...

Numerical modelling of district heating networks