Solving district heating optimization problems in the market conditions

Moshkin, Igor; Sauhats, Antans Sauļus

doi:10.1109/rtucon.2016.7763145

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…In addition, innovative market ideas to increase competitiveness in the DHN are emerging in the literature [25,26,27]. One of them is the adaption of the sharing economy principle to industries and small-scale production units to supply surplus heat to the DHN [13,28].…”

Section: Introductionmentioning

confidence: 99%

Liberalized market designs for district heating networks under the EMB3Rs platform

Faria¹,

Soares²,

Mourão³

et al. 2021

Preprint

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Current developments in heat pumps, supported by innovative business models, are driving several industry sectors to take a proactive role in future district heating and cooling networks in cities. For instance, supermarkets and data centers have been assessing the reuse of waste heat as an extra source for the district heating network, which would offset the additional investment in heat pumps. This innovative business model requires complete deregulation of the district heating market to allow industrial heat producers to provide waste heat as an additional source in the district heating network.This work proposes the application of innovative market designs for district heating networks, inspired by new practices seen in the electricity sector. More precisely, pool and Peer-to-Peer (P2P) market designs are addressed, comparing centralized and decentralized market proposals. An illustrative case of a Nordic district heating network is used to assess the performance of each market design, as well as the potential revenue that different heat producers can obtain by participating in the market. An important conclusion of this work is that the proposed market designs are in line with the new trends, encouraging the inclusion of new excess heat recovery players in district heating networks.

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Section: Introductionmentioning

confidence: 99%

Liberalized market designs for district heating networks under the EMB3Rs platform

Faria¹,

Soares²,

Mourão³

et al. 2021

Preprint

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show abstract

“…However, thermal energy plays an important role in the urban context, as it is used for the purposes of heating, cooling, bathing, showering and cooking, covering approximately 75% of the non-transport related energy consumption among households [19,21,22]. Although heating energy cooperatives (such as district heating cooperatives) are discussed in the literature (e.g., [23][24][25]), thermal energy communities are relatively understudied. It is meaningful to study whether thermal energy communities are sustained over time and, if so, which factors influence their formation and continuity or decline.…”

Section: Introductionmentioning

confidence: 99%

Formation and Continuation of Thermal Energy Community Systems: An Explorative Agent-Based Model for the Netherlands

et al. 2020

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Energy communities are key elements in the energy transition at the local level as they aim to generate and distribute energy based on renewable energy technologies locally. The literature on community energy systems is dominated by the study of electricity systems. Yet, thermal energy applications cover 75% of the total energy consumption in households and small businesses. Community-driven initiatives for local generation and distribution of thermal energy, however, remain largely unaddressed in the literature. Since thermal energy communities are relatively new in the energy transition discussions, it is important to have a better understanding of thermal energy community systems and how these systems function. The starting point of this understanding is to study factors that influence the formation and continuation of thermal energy communities. To work towards this aim, an abstract agent-based model has been developed that explores four seemingly trivial factors, namely: neighborhood size, minimum member requirement, satisfaction factor and drop-out factor. Our preliminary modelling results indicate correlations between thermal community formation and the ’formation capability’ (the percentage of households that joined) and with the satisfaction of households. No relation was found with the size of the community (in terms of number of households) or with the ‘drop-out factor’ (individual households that quit after the contract time).

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Electricity adjustment for capacity market auction by a district heating and cooling system

et al. 2017

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Solving district heating optimization problems in the market conditions

Cited by 5 publications

References 8 publications

Liberalized market designs for district heating networks under the EMB3Rs platform

Liberalized market designs for district heating networks under the EMB3Rs platform

Formation and Continuation of Thermal Energy Community Systems: An Explorative Agent-Based Model for the Netherlands

Electricity adjustment for capacity market auction by a district heating and cooling system

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