On accelerating the development of configurational innovation systems—the case of non-urban district heating in Germany

This chapter describes the results of a sociological investigation carried out within an EU-funded project. The project was aimed at creating a tool to visualise and compute energy data at an urban district level, with the broader aim to optimise the local district heating (DH) network's distribution policies. This chapter identifies the features of the main categories of actors (from the DH operator to final users) having a role within that network. Special attention is paid to the identification of the barriers and frictions preventing a stronger collaboration and communication among these actors to happen. It is argued that the identification and resolution, in situated and complex socio-technical systems, of these non-strictly-technical problems may be, at least in some cases, a pre-requisite for any ICT-based solution to deploy its full potential.

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Demand side management in urban district heating networks

Applied Energy ◽

10.1016/j.apenergy.2018.08.105 ◽

2018 ◽

Vol 230 ◽

pp. 506-518 ◽

Cited By ~ 33

Author(s):

Hanmin Cai ◽

Charalampos Ziras ◽

Shi You ◽

Rongling Li ◽

Kristian Honoré ◽

...

Keyword(s):

District Heating ◽

Demand Side Management ◽

Demand Side ◽

Urban District ◽

Heating Networks

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Energetic and Exergetic Performance of short term thermal storages in urban district heating networks

Energy Procedia ◽

10.1016/j.egypro.2017.05.067 ◽

2017 ◽

Vol 116 ◽

pp. 191-207 ◽

Cited By ~ 3

Author(s):

Georg K. Schuchardt(née Bestrzynski) ◽

Stefan Holler

Keyword(s):

District Heating ◽

Short Term ◽

Urban District ◽

Heating Networks

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Operation Planning of District Heating and Cooling Plants Considering Contract Violation Penalties

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2009.p0185 ◽

2009 ◽

Vol 13 (3) ◽

pp. 185-192

Author(s):

Kosuke Kato ◽

◽

Masatoshi Sakawa ◽

Keiichi Ishimaru ◽

Satoshi Ushiro ◽

...

Keyword(s):

Cold Water ◽

District Heating ◽

Nonlinear Integer Programming ◽

Planning Problem ◽

Integer Programming Problem ◽

Operation Planning ◽

Urban District ◽

Water Steam ◽

Heating And Cooling ◽

Contract Violation

Urban district heating and cooling (DHC) systems operate large freezers, heat exchangers, and boilers to stably and economically supply hot and cold water, steam, etc., based on customer demand. We formulate an operation-planning problem as a nonlinear integer programming problem for an actual DHC plant. To reflect actual decision making appropriately, we incorporate contract-violation penalties into the running cost consisting of fuel and arrangements expenses. We, then, solve operation-planning problems with and without penalties, demonstrating the effectiveness of taking penalties into consideration.

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