Data intelligent operation of district heatin...

CITIES, University of Zagreb (Faculty of Mechanical Engineering) & The City of Zagreb are organizing a joint workshop on: Data intelligent operation of district heating and district cooling systems

In recent years, there has been a growing interest in using big data to improve district heating and district cooling systems. Sensors are becoming cheaper, and the use of smart meters, which measure hourly heat consumption at every consumer, in the district heating systems became more common. The vast amount of data can be used for constructing better models, resulting in lower operating costs of district heating and district cooling systems. Moreover, cogeneration units, large heat pumps and electric boilers in district energy systems have to bid for electricity on day-ahead markets. The result of this changing framework for district heating and district cooling operation is increased complexity of operating the systems but also an opportunity for economic, CO2 emissions and energy savings in the system.

By engaging in an open debate between different industry, academia and governmental partners, this two-day workshop that will hopefully result in an improved collaboration between different partners and a better understanding of problems and solutions in the domain of district heating and district cooling systems.

Read about the workshop under CITIES events

Contact

Kasper Haagen Skovse  

kaspsk@dtu.dk
Involved partners
Copyright © 2019 | CITIES Innovation Center
Article location: https://www.citiesinnovation.org/data-intelligent-operation-of-district-heating-and-district-cooling-systems/
Popular articles

Solution#3: Smart Meter Data Analytics

Smart Meter Data Analytics is a solution project aiming to investigate data mining of smart meter electricity consumption data in order to improve forecasting and money-saving opportunities for customers.   The aim of the solution on Smart meter data analytics, is to gather socioeconomic, demographic and weather data and insight into the profiles and classifications of …