Challenges in Smart Low-temperature District Heating Development

Previous research and development shows that low temperature district heating (LTDH) system is economic feasible for low energy buildings and buildings at sparse areas. Coupling with reduced network temperature and well-designed district heating (DH) networks, LTDH can reduce network heat loss by up to 75% comparing with the current medium temperature district heating system. Further system efficiency improvement can be achieved through a holistic approach which includes measures such as reduced system design margin, enhanced demand side management and improved operation of decentralized heat generations. The realization of such efficiency improvement measures will increase the demand for well functioned monitoring, communication, control and decision support tools and services to coordinate each component in the DH system.

[1]  J. Braun,et al.  Load Control Using Building Thermal Mass , 2003 .

[2]  Svend Svendsen,et al.  Improving the Dimensioning of Piping Networks and Network Layouts in Low-Energy District Heating Systems Connected to Low-Energy Buildings: A Case Study in Roskilde, Denmark , 2012 .

[3]  Rainer Unland,et al.  A framework for agent-based simulations of hybrid energy infrastructures , 2012, 2012 Federated Conference on Computer Science and Information Systems (FedCSIS).

[4]  Peng Zhao,et al.  An Energy Management System for Building Structures Using a Multi-Agent Decision-Making Control Methodology , 2010, 2010 IEEE Industry Applications Society Annual Meeting.

[5]  Neven Duić,et al.  Sustainable development of energy, water and environment systems , 2003 .

[6]  Tin-Tai Chow,et al.  Building-mix optimization in district cooling system implementation , 2004 .

[7]  Brian Elmegaard,et al.  Low Temperature District Heating Consumer Unit with Micro Heat Pump for Domestic Hot Water Preparation , 2012 .

[8]  Svend Svendsen,et al.  IEA DHC Annex X report:Toward 4th Generation District Heating: Experience and Potential of Low-Temperature District Heating , 2014 .

[9]  Svend Svendsen,et al.  Method for optimal design of pipes for low-energy district heating, with focus on heat losses , 2011 .

[10]  Stephen Jia Wang Fields Interaction Design (Fid): The Answer to Ubiquitous Computing Supported Environments in the Post-Information Age , 2013 .

[11]  Jianhua Fan,et al.  TRNSYS simulation of the consumer unit for low energy district heating net , 2008 .

[12]  Nicolas Petit,et al.  Investigating the ability of various buildings in handling load shiftings , 2011, 2011 IEEE Power Engineering and Automation Conference.

[13]  Paul Davidsson,et al.  Deployment of Agent Based Load Control in District Heating Systems , 2010, AAMAS 2010.

[14]  Svend Svendsen,et al.  The potential to supply low temperature district heating to existing building area , 2013 .

[15]  Paul Davidsson,et al.  An Agent-Based Approach to Monitoring and Control of District Heating Systems , 2002, IEA/AIE.