Solution#2: Analysis of Heating Data

The solution for analysis of heating data is an analytical tool for treating and integrating of big data collected from smart meters, socio-economic data, energy informations and building models. This treatment tool enables to quantify and characterize energy consumption of entire districts and cities.


Analysis of heating data is a solution project on integrated energy systems powered by the use of intelligent data. The project aims to treat and integrate a wide range of data collection measures to create a detailed picture of consumption patterns for cities.

This includes estimation and dimension of energy grids and automated building labeling for districts and cities. All this is possible through the collection and intelligent use of data from smart meters in domestic buildings combined with carefully selected measure points. The project is enabled by a team of experts on data analytics working on data which is shared by our partners from the public sector.

 

Impact

Automated building labeling ensure public sector actors and energy suppliers a better overview of consumption patterns. This is crucial for an energy systems powered by 100% renewable energies.

 

ikon20Solution insights

Traditionally the classification of heating consumption has been based on statistics related to the customer’s energy consumption with an annually reporting. Now, the customers, e.g. houses, apartments and businesses, will provide these data recorded by e-meters. This means that the amount of observations will rise from two single parameters to thousands per year in each household.

The enriched data collection makes it possible to profile consumption for all type of buildings as well as production facilities in a much more detailed fashion. It also allows to investigate the potential for energy flexibility and storage capacities of integrated energy. Intelligent use of data in much more in-depth leads to increasing insight into how the energy system is transition in the best possible way to 100% renewables.

All this is done by intelligent use of data from smart meters at customers’ houses. These smart meters consider socio-demografic and socio-economic data, energy information and enable generation and validation of detailed building models to quantify and characterize energy consumption in single units aggregated up to entire districts and cities. The potential to involve stochastic aspects like consumers behavior and the spatiotemporal variations across all consumer groups has a rich potential to reduce costs and environmental impact on a very large scale.

 

ikon6Further information

The project of CITIES Research Centre is expected to continue on improving the solution until the end of 2017.

The solution is connected to the Heat Pump Controller solution and solution on Smart Meter Data Analytics.

CITIES Research Center has for the purpose of analyzing heating data, developed a data management system. It includes both a data management and a data analytics system component sized for implementation of wide data collection activities. The data management system has already been implemented on data collection and data cleansing from 54 houses in Sønderborg.  In addition, 10 other data sets are now available or in the process of becoming available, including data from Middelfart, Southern Denmark, Odense and Aarhus.

Contact

Alfred Heller   Associate Professor in Civil Engineering, Deputy Center Manager at CITIES Research Project  at DTU Byg

+ 45 45251861
alfred.heller@smart-cities-centre.org
Involved partners
University of Southern Denmark

Member since September 2013

Visit the website

Contact person Main Office

sdu@sdu.dk + 45 65501000
Project Zero

Member since September 2013

Visit the website

Contact person Peter Rathje

DTU Management Engineering

Member since June 2013

Visit the website
Why is DTU Management Engineering part of CITIES?

DTU Management Engineering is part-taking in demonstration projects and research through its’ Systems Analysis Division. Furthermore, Senior Researcher Per Sievert Nielsen is Operations Manager for CITIES Innovation Center.

What role does DTU Management Engineering have in the project?

As a core-partner, we bring expertise in the foremost research related to cities, regional and global energy development, economic studies and modelling of energy and climate change.

What do DTU Management Engineering expect to gain from being part of the project?

We strive to make CITIES Innovation Center a worldwide strong player in integration of energy systems in urban settings related to decision making policy and thus support city policies and national as well as international agreements.

Contact person Per Sievert Nielsen

pernn@dtu.dk + 45 46775289
DTU Civil Engineering

Member since September 2013

Visit the website
Why is DTU Civil Engineering part of CITIES?

DTU Civil Engineering (DTU Byg) is a highly active player in CITIES Innovation Center in the research fields of high energy efficiency buildings and systems for energy supply and distribution.

What role does DTU Civil Engineering have in the project?

As a core-partner in CITIES through leadership of projects under Prof. Carsten Rode and Ass. Professor Alfred Heller’s role in the center management, we head research efforts on a variety of areas incl. solar energy and district heating.

What do DTU Civil Engineering expect to gain from being part of the project?

We expect to gain a valuable exchange with partners and hopefully also see cutting-edge scientific results on energy systems integration in the Nordic countries.

Contact person Main Office

byg@byg.dtu.dk + 45 45251861
AffaldVarme Aarhus

Member since September 2013

Visit the website

Contact person Adam Brun

adbr@aarhus.dk + 45 89401500
Copyright © 2019 | CITIES Innovation Center
Article location: https://www.citiesinnovation.org/analysis-of-heating-data/

Leave a Reply

Your email address will not be published. Required fields are marked *

Popular articles

Flexible power consumption requires fully aut...

Flexible power consumption requires fully automated devices Professor Henrik Madsen from DTU Compute believes that researchers and practitioners under the CITIES-project have broken the code for how electricity companies and other actors can enable flexible consumption. In an interview with ienergi.dk, published in July 2018, Madsen talks about automation, artificial intelligence, software and big data in …

Smart Control of Houses

The project solution on smart control of houses involves cloud-based solutions, data analytics, energy systems integration and smart buildings research. Further description and insights into the project is coming soon. In the meantime please read more here