Cascade sub-low temperature district heating networks in existing district heating systems

Volkova, Anna; Reuter, Stefan; Puschnigg, Stefan; Kauko, Hanne; Schmidt, Ralf-Roman; Leitner, Benedikt; Moser, Simon

doi:10.1016/j.segy.2022.100064

Cited by 12 publications

(18 citation statements)

References 13 publications

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“…1-3, a DHN may comprise different temperature layers. We distinguish between three temperature layers, i.e., high temperature (80 °C-120 °C), medium temperature (40 °C-70 °C), and low temperature (20 °C-40 °C) [1], [11], [12], [3][31, pp. 16-17][6, p. 44].…”

Section: B Temperature and Hydraulic Layersmentioning

confidence: 99%

“…1 and 3. Such low-temperature DHN sections allow to efficiently use the heat energy in a DHN (temperature cascading) and integrate renewable heat sources (e.g., waste heat, solar thermal, heat pumps) and new consumers (e.g., low-energy buildings) into existing DHNs [6, p. 44] [10], [11], [12]. However, due to the ongoing trend of decreasing DHN temperatures, particularly in summer, the medium temperature might not be sufficiently high to cover the heat demand of some low-temperature consumers.…”

Section: B Temperature and Hydraulic Layersmentioning

confidence: 99%

“…Supply/return temperatures, for example, are decreasing from around 80 °C-120 °C/40 °C-70 °C in 2nd or 3rd generation DHNs to 40 °C-70 °C/20 °C-40 °C in 4th generation DHNs [1], [3][6, p. 44]. This, together with decreasing the pipe diameters, allows to efficiently integrate renewable heat sources and new consumers (e.g., low-energy buildings) and reduces the heat distribution losses [6, p. 44] [10], [11], [12]. Besides that, different temperature layers can be combined to multi-layer topologies in future DHNs to increase the efficiency (see temperature cascading in e.g., [6, p. 44] [10], [11], [12]).…”

Section: Introductionmentioning

confidence: 99%

“…This, together with decreasing the pipe diameters, allows to efficiently integrate renewable heat sources and new consumers (e.g., low-energy buildings) and reduces the heat distribution losses [6, p. 44] [10], [11], [12]. Besides that, different temperature layers can be combined to multi-layer topologies in future DHNs to increase the efficiency (see temperature cascading in e.g., [6, p. 44] [10], [11], [12]). Indeed, the return pipes of a traditional 2nd or 3rd generation DHN may serve as supply for a (new) low-temperature DHN part.…”

Section: Introductionmentioning

confidence: 99%

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Port-Hamiltonian Modeling of Hydraulics in 4th Generation District Heating Networks

Strehle

Machado

Cucuzzella

et al. 2022

2022 IEEE 61st Conference on Decision and Control (CDC)

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A fundamental precondition for the secure and efficient operation of district heating networks (DHNs) is a stable hydraulic behavior. However, the ongoing transition towards a sustainable heat supply, especially the rising integration of distributed heat sources and the increasingly meshed topologies, introduce complex and potentially destabilizing hydraulic dynamics. In this work, we propose a unifying, passivity-based framework which guarantees asymptotic stability of any forced hydraulic DHN equilibrium while allowing for meshed, timevarying topologies and different, dynamically interacting distributed heat sources. To establish the desired hydraulic equilibria, we propose decentralized, passivity-based pressure and volume flow rate controllers for the pumps and valves in the actuated DHN subsystems. In particular, we leverage the equilibriumindependent passivity (EIP) properties of the DHN subsystems, the skew-symmetric nature of their interconnections, and LaSalle's Invariance principle to assess asymptotic stability in a modular manner. The obtained results hold for the state-of-theart as well as future DHN generations featuring, for example, multiple distributed heat sources, asymmetric pipe networks, and multiple temperature layers. We verify our findings by means of simulations. * * F. Strehle and J. Machado contributed equally.* * * The work of J.

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Section: B Temperature and Hydraulic Layersmentioning

confidence: 99%

Section: B Temperature and Hydraulic Layersmentioning

confidence: 99%