Increased recovery of excess heat from thermal power generation and industrial processes has great potential to reduce primary energy demands in EU27. In this study, current excess heat utilisation levels by means of district heat distribution are assessed and expressed by concepts such as...

Incentives for industrial loads to provide demand response on day-ahead and reserve markets are affected both by network tariffs, as well as regulations on the provision of flexibility in different markets. This paper uses a numerical model of the chlor-alkali process with a storable...

Large scale penetration of renewable energies such as wind and solar into the electric grid is complicated by their intermittency. Energy storage systems can mitigate these fluctuations by storing off-peak energy for use at peak-demand times. Compressed air energy storage (CAES) is one of the...

In this study the primary energy use and carbon footprint over the life cycle of a wood-frame apartment building designed either conventionally or to the passive house standard are analyzed. Scenarios where the building is heated with electric resistance heaters, bedrock heat pump or...

District energy systems are reviewed and possible future enhancements involving expanded thermal networks are considered. Various definitions, classifications and applications of district cooling and heating are discussed and elements of a district energy system are described. Also, the...

This paper presents the results of a municipal energy system analysis where the role of district heating is emphasised. A simplified energy system model based on linear programming is used to study the impact of introducing biomass based district heating in the community. Based on existing...

The aim of the work presented in this paper is to develop a common scientific methodology for the assessment of reliability of the pipeline network energy systems. The developed methodology is applicable for district heating, gas and oil supply networks. The reliability of all these systems...

An application of algorithmic exploration of billing data is examined for fault detection, diagnosis (FDD) based on evaluation of present state and detection of unexpected changes in energy efficiency of buildings. Large data sets from district heating (DH) billing systems are used for...

Heat load variations in district heating systems are both seasonal and daily. Seasonal variations have mainly its origin from variations in outdoor temperature over the year. The origin of daily variations is mainly induced by social patterns due to customer social behaviours. Heat load...

Future smart energy grids will require more information exchange between interfaces in the energy system. One interface where dearth of information exists is in district heating substations, being the interfaces between the distribution network and the customer building heating systems....