Optimal operation of the integrated district heating system with multiple regional branches

Kim, Ui Sik; Park, Tae Chang; Kim, Lae-Hyun; Yeo, Yeong Koo

doi:10.1007/s11814-009-0348-7

Cited by 12 publications

(4 citation statements)

References 7 publications

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“…Fang et al [25] developed a static model using genetic algorithm (GA) to optimize the district supply temperatures and load allocation among the plants based on the real-time end-user measurements. MILP could not tackle the problem due to non-convexity therefore the authors employed GA. Kim et al [26] studied the connection of eleven district heating systems to minimize the total cost and maximize profits. However, their model should have included pumping cost because the pipelines connecting the districts are long and the pressure drop is a major issue.…”

Section: Introductionmentioning

confidence: 99%

Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation

Sameti

Haghighat

2018

Energy

110

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A net-zero energy district is any neighborhood where the consumption of the buildings is offset by on-building generation on an annual basis. In this study, a net-zero energy district is identified among the set of optimal solutions and the effects of storage on its performance is investigated. It is assumed the model simultaneously optimizes the location of host buildings (energy generators), type of technologies and associated size, and the energy distribution network layout together with the optimal operating strategy. The optimization model addresses all technologies with a special focus on the effect of application of energy storage. Two types of energy storage are considered inside each building: thermal energy storage (hot water tank) and electrical energy storage (battery bank). The model is applied to the new part of a district energy system located in Switzerland. The best integrated district energy systems are presented as a set of Pareto optimal solutions by minimizing both the total annualized cost and equivalent CO 2 emission while ensuring the reliable system operation to cover the demand. The results indicated that selection of the proposed optimal district energy system along with the storage brings great economic and environmental benefits in comparison to all other scenarios (conventional energy system, stand-alone system, and net zero-energy without storage).

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Section: Introductionmentioning

confidence: 99%

Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation

Sameti

Haghighat

2018

Energy

110

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“…Many of the papers report real small-scale applications, the main outcome being the optimization of DH supply temperature [3,6,7]. However, the pumping costs [6] or costs in networks of energy suppliers and storages have been considered also [12,13].…”

Section: Introductionmentioning

confidence: 99%

Examination of operational optimization at Kemi district heating network

Ikonen¹,

Selek²,

Kovács³

et al. 2016

THERM SCI

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Model-based minimization of short term operational costs for energy distribution systems is examined. Based on the analogies between mass and energy distribution systems, a direct application of a stochastic optimal control approach was considered, previously developed and applied by the authors to water distribution systems. This paper examines the feasibility of the approach for district heating systems under certainty equivalence, i. e., the uncertain quantities are replaced by their nominal values. Simulations, based on a rough model of a part of the Kemi district heating network, are used to illustrate and validate the modeling and optimization approach. The outcomes show that optimal network loading can be designed with the considered tools.

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“…The models of Varmelast (q.v. appendix B.4, p. 345) or [54] are examples of such models. The restrictions in the Varmelast model are estimated with the aid of simulations and the experience of the operators.…”

Section: Dh Scope Vi: Operative Planningmentioning

confidence: 99%

“…The restrictions in the Varmelast model are estimated with the aid of simulations and the experience of the operators. In [54], different DHSs are optimized that are connected to each other.…”

Section: Dh Scope Vi: Operative Planningmentioning

confidence: 99%

A Comprehensive Framework and Associated Methodology for the Design, Operative Planning, and Operation of District Heating Systems to Facilitate the Transition Towards a Fully Renewable Heat Supply

Lorenzen¹

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District heating systems (DHSs) are a mature technology for an efficient heat supply in cities. In the context of the climate crisis and the related goal of a decarbonized heating sector, DHSs play an ambivalent role. As existing DHSs are mostly based on fossil fuels, they are part of the problem. However, as they can also integrate renewable heating plants, DHSs offer a great potential to support the transition towards a fossil-free heat supply.This transition is hindered by several barriers. For example, low supply temperatures are needed for the economically efficient integration of renewable heating plants. However, since existing fossil heating plants marginally benefit from a reduction of the temperature, a lock-in effect to the established business models exists. In the current research, resolving the barriers is focused either on individual solutions for specific issues or on heat strategies for a general level. Since the barriers are strongly interrelated, district heating (DH) companies require a systemic transition methodology for their specific activities in the different fields of planning and operation. Since such a transition methodology is identified as lacking in the literature, this thesis aims to develop a comprehensive methodology that facilitates the transition in an economically efficient way.To develop such a transition methodology, this thesis introduces a framework approach that combines new and existing independent concepts and that is built on a newly developed structure of eight "DH scopes." These DH scopes classify the activities in the different fields of DH concerns. To address the planning and operation activities in DH companies, these activities are integrated into the new "framework" that is classified according to the three DH scopes "design," "operative planning," and "operation." The framework summarizes the related activities according to processes and links them using technical and economic mechanisms. These mechanisms are considered in such a way that all activities are incentivized iii in the often-stressful times. I would like to thank my friends Sarah and Michael for their feedback on the dissertation at an earlier stage.Finally, I would also like to thank my family for their support. Particularly, I want to say thank you to my parents, who have always supported me. Especially during the height of the pandemic, they supported me mentally by making certain "demolition activities" possible.Thank you all very much! Now I hope that you enjoy reading and browsing through this dissertation,

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Optimal operation of the integrated district heating system with multiple regional branches

Cited by 12 publications

References 7 publications

Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation

Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation

Examination of operational optimization at Kemi district heating network

A Comprehensive Framework and Associated Methodology for the Design, Operative Planning, and Operation of District Heating Systems to Facilitate the Transition Towards a Fully Renewable Heat Supply

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