District heating (DH) network design and operation toward a system-wide methodology for optimizing renewable energy solutions (SMORES) in Canada: A case study

Rosa, Alessandro Dalla; Boulter, Raymond; Church, Kenneth; Svendsen, Svend

doi:10.1016/j.energy.2012.06.062

Cited by 81 publications

(9 citation statements)

References 15 publications

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“…In addition, the amount of low-energy buildings will increase among DH consumers. In light of these new challenges, low-temperature networks and subnetworks appear to be promising and economical solutions [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Heat transmission over long pipes: New model for fast and accurate district heating simulations

Dénarié

Aprile

Motta

2019

Energy

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Section: Introductionmentioning

confidence: 99%

Heat transmission over long pipes: New model for fast and accurate district heating simulations

Dénarié

Aprile

Motta

2019

Energy

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“…Energy use intensity (EUI) and load factor (LF) is another technique to estimate the users demand profile, whereby the historical supply data are provided. EUI is the rate of energy use per unit area (Sharp, 1996), and LF is the ratio of energy consumption over the maximum possible energy generation of the supply side (Dalla Rosa and Christensen, 2011;Dalla Rosa et al, 2012):…”

Section: Energy Use Intensity and Load Factormentioning

confidence: 99%

A Review of District Heating Systems: Modeling and Optimization

Talebi

Mirzaei

Bastani

et al. 2016

Front. Built Environ.

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The ever-increasing demand for heating in different sectors, along with more preventative regulations on greenhouse emissions, has forced different countries to seek new alternatives to heat buildings such as district heating system (DHS). Although rudiments of DHSs can be observed over the centuries, it was not widely implemented until last two decades when the DHS became a strategy to design more energy-efficient way of heating the buildings. This paper suggests a new approach in categorizing DHSs based on their geographical location, scale, heat density, and end-user demand. Furthermore, this paper reviews system and component modeling approaches with a focus on DHS load prediction. Main limitations of the existing methods are also addressed and discussed with a comprehensive review of the recent studies. Finally, the state of the art in optimization of the different DHSs has been reviewed and categorized based on their objective functions and the techniques used for solving optimization problems (deterministic and heuristic).

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“…For a HTDH, the maximum and minimum supply temperatures at the heat source for winter and summer periods were assumed to be 120℃ and 70℃, respectively. 34 Similarly, maximum and minimum return temperatures of 70℃ and 30℃ were taken into account at the consumer’s heating substations. During operation, supply temperature at the heat source was constrained between maximum and minimum limits (VF-VT operating strategy).…”

Section: Case Study: the Barry Island District Heating Networkmentioning

confidence: 99%

“…For a LTDH network, supply and return temperatures were reduced to the minimum level, close to the temperature of domestic hot water systems. 34–38 Values of 60℃ supply temperature at the heat source and 25℃ for the return temperature at the consumer’s heating substations were assumed. During operation, supply and return temperatures were taken as constant at a minimum level over the year.…”

Section: Case Study: the Barry Island District Heating Networkmentioning

confidence: 99%

Minimisation of the capital costs and energy usage in a district heating network

Pirouti

Bagdanavičius

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part A:

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A new approach to minimise capital costs and energy usage in a district heating network is presented. The method comprises a two-stage programming model, which synthesises design and the optimal operation of a district heating network. Two different optimisation approaches—(a) minimising the annual total energy usage, and (b) minimising the equivalent annual cost of the heat network installation and operation—were examined and high and low temperatures district heating were investigated. For each optimisation approach, the minimum optimal annual total energy usage and minimum optimal equivalent annual cost were calculated and suitable pipe and pump sizes, taking into account different supply and return temperature regimes, target pressure losses and operating strategies within a district heating network were found. Design cases with minimum annual total energy usage and minimum equivalent annual cost used rather small pipe diameters and large pressure drops. This in turn reduced the annual total energy usage and the equivalent annual cost and the suitable pipe and pump sizes were selected. In addition, it was observed that by reducing the water temperature, the annual total energy usage and the equivalent annual cost could be reduced further. However, the obtained design cases based on a low temperature had relatively larger pipe sizes and smaller pressure drops compared with design cases obtained for the high temperature district heating.

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District heating (DH) network design and operation toward a system-wide methodology for optimizing renewable energy solutions (SMORES) in Canada: A case study

Cited by 81 publications

References 15 publications

Heat transmission over long pipes: New model for fast and accurate district heating simulations

Heat transmission over long pipes: New model for fast and accurate district heating simulations

A Review of District Heating Systems: Modeling and Optimization

Minimisation of the capital costs and energy usage in a district heating network

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