Operational optimization in a district heating system

Benonysson, A.; Bøhm, Benny; Ravn, Hans F.

doi:10.1016/0196-8904(95)98895-t

Cited by 234 publications

(124 citation statements)

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“…It is based on the fact that TERMIS neglects pipe heat capacity, thus heat accumulation in the pipe leads to the early arrival of temperature front, especially for distant pipelines. This statement is supported by a comparison of modelling results obtained with and without pipe heat capacity in Benonysson (1991). However, a more comprehensive analysis of this case was beyond the scope of this work due to a lack of experimental data.…”

Section: Results Of Supply Temperature Simulations Of Consumers For Tsupporting

confidence: 53%

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Dynamic Temperature Simulation in District Heating Systems in Denmark Regarding Pronounced Transient Behaviour / Danijos Šilumos Tiekimo Sistemų Modeliavimas, Įvertinant Nestacionarų Temperatūros Pasiskirstymą Tinkle

Gabrielaitiene

Bøhm²,

Sundén

2011

Journal of Civil Engineering and Management

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Abstract.A dynamic performance of district heating systems was analysed with an emphasis on temperature profile distortion throughout a heating system network. Therefore, a modelling approach (the so-called node method) developed at the Technical University of Denmark was applied. For comparison purposes, commercial TERMIS software was also used in this work. Typical supply conditions were investigated in the considered district heating systems in Denmark. Large and sudden temperature changes in supply temperature were depicted in the district heating system in Madumvej while the pronounced transient supply conditions of temperature wave were exhibited in the district heating system in Naestved. Time-dependent consumer data from the district heating systems were applied to compare the results obtained from modelling approaches. Based on the analysis of temperature wave propagation through the network, it was noted that temperature wave spread unevenly on different locations of the network.

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Section: Results Of Supply Temperature Simulations Of Consumers For Tsupporting

confidence: 53%

“…This program was previously used in investigations by (Pálsson et al 1999;Bøhm et al 2002) and is based on the so-called node model for estimating temperature dynamics in pipelines (Benonysson 1991). Commercial TERMIS software (TERMIS 2010) has also been used in the study for comparison purposes.…”

Section: Modelling District Heating Systemsmentioning

confidence: 99%

Dynamic Temperature Simulation in District Heating Systems in Denmark Regarding Pronounced Transient Behaviour / Danijos Šilumos Tiekimo Sistemų Modeliavimas, Įvertinant Nestacionarų Temperatūros Pasiskirstymą Tinkle

Gabrielaitiene

Bøhm²,

Sundén

2011

Journal of Civil Engineering and Management

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“…System optimization can work in different kinds of applications such as energy management system planning [193]- [194], stand-alone hybrid solar-wind system [195], photovoltaic power systems [196], advanced alkaline electrolyzers [197], methods applied to renewable and sustainable energy [198], sensitivity analysis of photovoltaic system in residential buildings [199], district heating systems [200], and future energy systems [201].…”

Section: System Optimizationmentioning

confidence: 99%

Technology Assessment Model of Developing Geothermal Energy Resources for Supporting Electrical System: The Case for Oregon

Alshareef¹

2000

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The demand for energy is increasing worldwide. All applications contributed to increase the demand of all energy industry, and therefore the effect on the environment and the rise in pollution increased significantly. This is considered a large problem, and researchers focused their research on renewable energy for reducing the cost of energy in the future. Geothermal energy has significant impact as a source of electricity generation since it will not harm the environment. There are more than twenty countries that benefit from geothermal plants, which generate more than 6000 megawatts .Three alternatives of geothermal energy technology (GHP, Direct use of Geothermal Heat, and Geothermal Electricity) can be used for supporting electrical systems in Oregon. At the same time, the success of using the geothermal energy alternatives in Oregon relies on different goals for achieving the best geothermal development. Oregon has been ranked third in the potential use of geothermal energy after Nevada and California.The objective from the research study was to develop an assessment model framework that can be used for supporting cost effective renewable energy in Oregon by the development of geothermal energy sources. This research of study was done by using

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“…Operational optimization of thermal networks, taking into account time delays, is a mixed integer non-linear program (MINLP), for which no efficient solvers exist. This problem has been dealt with in different manners; Benonysson [11] used a simpler model that does not include integers. Li et al [8] suggest an iterative program to solve the MINLP.…”

Section: Including Time Delays In Thermal Network Controlmentioning

confidence: 99%

“…Then building k max is removed from the set B cold and the process is repeated anew, resulting in an opening time for each bypass valve in the network for time step i + 1, by using Equation 11. To take into account extra effects, such as the required heating up of the (cold) pipe walls when pulling in new warm water, t open is rounded up by the controller to ensure warm water has indeed reached the substation at time t + 30.…”

Section: Which Substations Will Be Too Cold?mentioning

confidence: 99%

A theoretical benchmark for bypass controllers in a residential district heating network

Vandermeulen

Heijde

Patteeuw

et al. 2018

Energy

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Bypass valves in district heating substations are a compromise between efficiency and quality of service. On the one hand, they are required to ensure that each building (no matter the distance to the heat source) has warm water within an acceptable time. On the other hand, they form a short-circuit between the warm supply and cold return line and their use can increase the return temperature substantially. Therefore, a good control of these bypass valves is critical to limit the drawback of their use. In this context, this paper compares two commonly used control strategies (manual control and thermostat control) to a new theoretical benchmark that provides an upper boundary for the performance of bypass controllers. This theoretical benchmark ensures a justin-time delivery of warm water by taking into account time delays in the network. In a simulation case study of a small neighbourhood in Genk, Belgium, the benchmark shows that substantial improvement regarding bypass control is possible.

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Operational optimization in a district heating system

Cited by 234 publications

References 1 publication

Dynamic Temperature Simulation in District Heating Systems in Denmark Regarding Pronounced Transient Behaviour / Danijos Šilumos Tiekimo Sistemų Modeliavimas, Įvertinant Nestacionarų Temperatūros Pasiskirstymą Tinkle

Dynamic Temperature Simulation in District Heating Systems in Denmark Regarding Pronounced Transient Behaviour / Danijos Šilumos Tiekimo Sistemų Modeliavimas, Įvertinant Nestacionarų Temperatūros Pasiskirstymą Tinkle

Technology Assessment Model of Developing Geothermal Energy Resources for Supporting Electrical System: The Case for Oregon

A theoretical benchmark for bypass controllers in a residential district heating network

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