Lessons learned from excess flow analyses for various district heating systems

Bergstraesser, Weena; Hinz, Andreas; Braas, Hagen; Orozaliev, Janybek; Vajen, Klaus

doi:10.1016/j.segy.2021.100005

Cited by 11 publications

(2 citation statements)

References 16 publications

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“…Except for structural changes, regular fault detection at the substation is of great importance to control the return temperature at the expected low level [208]. For this, the excess flow method proposed in [209] was shown to be efficient and reliable in identifying fault substations in urban networks. • Energy cascade.…”

Section: Upgrade Of Existing Dh Systemsmentioning

confidence: 99%

Optimal Planning of Future District Heating Systems—A Review

2022

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This article provides the state-of-the-art on the optimal planning and design of future district heating (DH) systems. The purpose is to provide practical information of first-step actions for countries with a low DH market share for heating and cooling supply. Previous research showed that for those countries, establishing a heat atlas with accurate geographical data is an essential prerequisite to promote the development of DH systems. In this review, essential techniques for building a high-quality heat atlas are elaborated. This includes a review of methodologies for district thermal energy demand prediction and the status of the integration of sustainable resources in DH systems. In the meanwhile, technical barriers for the implementation of various sustainable heat sources are identified. Furthermore, technologies for the optimal planning of DH systems are discussed. This includes the review of current approaches for the optimal planning of DH systems, discussions on various novel configurations which have been actively investigated recently, and common upgrading measures for existing DH systems.

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Section: Upgrade Of Existing Dh Systemsmentioning

confidence: 99%

Optimal Planning of Future District Heating Systems—A Review

2022

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“…Using this method, the average return temperature in the high-temperature case dropped by 6 • C. The authors also investigated the impact of oversized heating system design. They identified that with 100% oversizing, the return temperature can be decreased by 9.8 • C. Both measures together led to reductions in the return temperature of up to 18.2 • C. Tol et al [10] developed a control strategy that allowed for the adoption of the feed temperature at the district level to the cooling performance of the consumer substation. Compared to the outside temperature-based control strategy, the new one led to less electricity power loss in the case of the cogeneration heat and power plant.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of a District Heating Substation as Part of a Low-Investment Optimization Strategy for District Heating Systems

2021

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In an ongoing project, low-investment measures for the optimization of district heating systems are analyzed. The optimization strategies are collected in a catalog, which is the core of a guideline. The application of this guideline is demonstrated using two concrete district heating networks as examples. In this study, the improvement of an analog controlled district heating substation by an electronic controller is investigated. High supply temperatures and heat losses are often a challenge in district heating networks. The district heating substations have a major influence on the network return temperatures. The comparison of the two substation setups with analog and electronic controllers is carried out by laboratory measurement. It can be shown that the return temperatures can be reduced by an average of 20 K in winter and transition, as well as 16 K in summer. The district heating network losses are calculated for one of both specific district heating networks. They are calculated from the ratio of network losses to generated energy. The generated energy is the sum of network losses and consumer demand. The thermal losses of the network can be reduced by 3%. The volume flow in the heating network can be reduced to a quarter. Therefore, the pumping energy requirement drops sharply since these changes cubically affect the volume flow.

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