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Article

An Investigation into the Limitations of Low Temperature District Heating on Traditional Tenement Buildings in Scotland

James Watt School of Engineering, Systems, Power and Energy division, University of Glasgow, Glasgow G12 8QQ, UK
*
Author to whom correspondence should be addressed.
Energies 2019, 12(13), 2603; https://doi.org/10.3390/en12132603
Submission received: 31 May 2019 / Revised: 21 June 2019 / Accepted: 4 July 2019 / Published: 6 July 2019
(This article belongs to the Special Issue District Heating and Cooling Networks)

Abstract

:
Domestic heating accounts for 64% of domestic energy usage in the UK, yet there are currently very few viable options for low carbon residential heating. The government’s carbon plan commits to improving the uptake of district heating connections in new build dwellings, but the greatest carbon saving can be made through targeting traditional housing stock. This paper aims to quantify the potential carbon and energy savings that can be made by connecting a traditional tenement building to a district heating scheme. The study uses a transient system simulation tool (TRNSYS) model to simulate the radiator system in a tenement block and shows that a significant benefit can be achieved by reducing the supply temperature; however, the minimum supply temperature is drastically limited by the building condition. Therefore, the study also critically compares the benefits of a lower supply temperature against minor refurbishments. It was found that improving building conditions alone could offer a 30% reduction in space heating energy consumption, while building improvements and integration of a river source heat pump could offer almost a 70% reduction. It is the recommendation of this study that a dwelling be improved as much as economically possible to achieve the greatest carbon and energetic savings.

1. Introduction

Residential energy use has changed significantly from the 19th century until now, moving from solid fuel combustion (e.g., coal/wood stoves) to a predominantly gas heating market, which totals 64% of domestic energy usage in the UK in 2017 [1]. The Scottish government has set ambitious targets to provide 11% of non-electrical heat demand by renewable sources by 2020, and for 35% of domestic heat to be provided by renewable sources by 2032 [2]. The government also aims for all Scottish homes to have an energy performance certificate (EPC) of at least band C by 2040, where “technically feasible and cost effective” [2]. In Scotland, the greatest number of dwellings by type is tenement flats, and more than 74% of housing stock was built pre-1982, as shown in Figure 1 [3]. This suggests, in order to achieve Scottish government targets, the greatest focus must be on modernizing existing housing stock, rather than new housing.
Limited work has been completed to the assess the suitability of existing residential buildings to connect to a district heating network (DHN); examples shown in [4,5,6,7,8,9,10,11]. Brand and Svendsen [6] discuss the necessary upgrades to existing stock in order to integrate a low temperature district heating network (LTDHN). They show that for a typical single-family, Danish house from the 1970s, small refurbishment can allow the district heating supply temperature to drop from 78 °C to 67 °C, and below 60 °C for 98% of the year. This study uses a home already connected to a DHN and compares the energy demand between the traditional DHN and a LTDHN. The paper shows promising results with minor investment. However, while the paper acknowledges the need for water disinfection for supply temperatures below 60 °C, it is difficult to know how this will influence the overall efficiency, carbon savings or cost. Østergaard and Svendsen [8] provide an investigation into the use of LTDHNs from the 1930s in single family houses, a similar study to Brand and Svendsen [6]. This study considers the influence of replacing critical radiators, and found that while 50% of the case studies could be converted to LTDH with minor renovations, 50% would require substantial work. This work is not directly transferable to the UK due to different building styles and weather patterns, but does, however, show the first steps in considering options for existing housing stock.
Wang and Holmberg [11] discuss retrofitting Swedish multi-family buildings from 1965–1975 with low temperature heating and a heat recovery ventilation system (FTX ventilation). While this discussion is limited, it does show that savings could be made on space heating—albeit with significant renovations, which would likely be out-weighed by the significant cost of improving/installing the DHN substation, installing the ventilation system, and improving the air tightness, as is recommended by the paper.
Burzynski et al. [12] provide a valuable insight to space heating and domestic hot water demands from newer tenement flats (built 2007–2010) connected to district heating schemes in the UK. The study makes use of metered data provided by one of the big six energy providers, Scottish and Southern Energy (SSE), to present floor area normalized energy usages for space heating and domestic hot water. A standard heat interface unit in a UK dwelling with district heating will only measure the total heat supplied to the property and will give no indication of the split between space heating or hot water. To find this split, Burzynski et al. [12] first applied a regression analysis to estimate a base temperature for heating degree days. The heat supplied on the calculated non-heating days was then assumed to be only for hot water, giving a baseline usage which can be subtracted from the total heat for the rest of the year to differentiate between space heating and hot water heating. The results of Burzynski et al. [12] do not correlate with SAP 2005 or SAP 2009; this could be due to an underestimation of heating in the methodology of the authors, which differs from the SAP method for estimating energy consumption, however this performance gap has been well documented elsewhere [13,14,15,16,17]. This is a significant piece of work for the UK district heating market, but will have limited applications to a significant majority of housing, which does not follow the Building Regulations part L or Section 6 (Scotland). The flats in this study have a district heating supply, but it is unclear if this has been from build or retrofitted later (although likely from build, due to the age of the dwellings).
Ovchinnikov et al. [18] give a comparative review of low temperature heating systems with a focus on the practicalities of the Russian building sector. In this paper, the authors discuss the merits of being able to use smaller radiators with a higher supply temperature, before going on to discuss the low energy efficiency of this approach. The authors mention the priority of addressing consumer awareness of energy usage. The authors discuss the challenges and obstruction of 4G heat networks by obsolete 3G networks. This is an interesting insight into the contrast between the challenges of heat network integration in the UK and abroad. While the UK is installing new networks, many other countries must consider how to best improve existing networks. The paper concludes that low temperature heating can be used in existing Russian housing, however, significant energy efficiency can only be achieved with vast refurbishment and building improvement. In a further paper, using an IDA Indoor Climate and Energy (IDA ICE) tool, Ovchinnikov et al. [19] provide a dynamic model and assessment of Russian building regulations and the feasibility of low-temperature heating for residential buildings. The study investigates four hydronic space-heating configurations with either a high temperature supply (75 °C) or low temperature supply (45 °C). The paper concluded that a heat pump supply could offer good energy savings for many of the case studies and operating conditions.
Peeters et al. [20] assess heating control in residential buildings for a Belgian case study. The study describes the current heating practice in Flanders by first summarizing previous housing surveys and boiler conditions. This data is then used in a TRNSYS model to evaluate the efficiency of gas boiler systems with varying levels of insulation. The case study models a terraced house with a multizone thermostat and night set back and concludes that optimal efficiency can be achieved when a flexible heating design is used, which is able to cope with large variations in heating load. A very similar study was performed by Liao et al. [21] in a UK context, however this focused on non-domestic users and no new information is provided for UK domestic dwellings.
On considering the current state of the literature, we present in this study the transient system simulation tool (TRNSYS) models, where we consider the necessary building improvements for a typical Scottish tenement flat to be connected to a district heating network or a low temperature district heating network. Lowering the supply temperature of a heating system requires careful consideration to the building condition. Therefore, we first consider and discuss the minimum supply temperature achievable to maintain a reasonable thermal comfort level at different levels of building renovation. The calculated minimum supply temperature is then used as the set point for the LTDH river source heat pump loop. A parametric analysis is provided, showing the energy and carbon savings achievable from district heating in each case study. The aims of this study are to:
  • Through dynamic computational modelling, assess the minimum radiator supply temperature which can maintain a reasonable thermal comfort in a Scottish/UK domestic dwelling, under various building conditions.
  • Assess the potential energy and therefore carbon reduction of implementing the minimum chosen supply temperature.
  • Qualitatively assess the feasibility of a river source heat pump to meet the demand of domestic heating.
The modelling tool chosen is TRNSYS. TRNSYS is a simulation environment which can be used to extensively model HVAC and building systems, amongst other things. The user can select from a range of pre-installed “types”, which computationally represent physical components. At each time-step, the TRNSYS kernel feeds inputs to the different types that produce the outputs. The process is described in further detail in the TRNSYS documentation [22,23].

2. Methodology

The methodology is as follows:
  • Define the case study.
  • Develop a building model.
  • Assess minimum supply temperature for each case using a TRNSYS model.
  • Use chosen supply temperature to assess operability and control operation of river source heat pump.
  • Assess energetic and carbon benefits.

2.1. Case Studies

There are many choices available to improve the energy efficiency of a dwelling. For this study, two of the most common home improvements were chosen for consideration—double glazing and wall insulation. The case studies are summarized in Table 1.
The chosen case study is a traditional sandstone tenement flat, a common building type in Scotland. Tenement walls are typically solid wall, with no cavity. This makes insulation difficult, as it must be either internal or external. External insulation is not a recommended choice as it will inevitably change the appearance of the building. Internal insulation is possible, however, it will remove a small amount of internal space. Internal insulation is the only feasible option and therefore is the only one considered here. The supply temperature is varied from 60–100 °C to mimic a broad range of typical DHN supply temperatures.

2.2. Building Modelling

To be of any significance, the building choice must be typical tenement housing stock; unfortunately, due to the age of the buildings, accurate and updated plans are not publicly available. The building layout was chosen from available plans of a typical tenement and is therefore not specific to any site (however, many tenement buildings will follow this structure). As the plans are not updated, they do not include any consideration to building modifications or renovations; however, as the modelled dwellings are less than 150 m2 floor area, they can each be modelled as a single thermal zone. This makes any error due to un-accounted for renovations likely to be insignificant.
The building geometry was produced from building plans of a typical 20th century Glasgow tenements, shown in Figure 2. The geometry was created in Sketchup (previously Google Sketchup), shown in Figure 3, and TRNSYS3d. TNSYS3d is a Sketchup extension which allows the construction types to be defined in Sketchup (e.g., external wall, window, roof etc.) and then exported as a *.idf file, which is then imported to TRNBuild, where the thermal properties of the building can be implemented. TRNBuild produces a *.b18 file which can then be used in the TRNSYS simulation studio with Type56 multizone modelling component.
The single close of flats contains eight dwellings. Only one close is shown, although it is typical for tenement blocks to have 20 to 30 closes.
The initial TRNBuild construction types chosen are shown in Table 2.
Data is not available to consider how many properties exist with original fixtures and structures, however, the considered modifications are shown in Table 3 with thermal conductivity (U) values [24].
It is assumed that the roof has been replaced since initial construction, however, since this is not part of the upper dwellings, it is not considered with renovations.

2.3. Minimum Supply Temperature

For each dwelling, there is a minimum supply temperature of space heating, dependent on the dwelling’s ability to retain heat and the radiator capacity. Using TRNSYS, this is determined for each building construction case, as shown in Table 1. These temperatures are then used as a basis for the following sections. The TRNSYS model used to determine the minimum supply temperature is shown in Figure 4 and Figure 5. The expanded macro shown in Figure 5 is the same for all “Flat X” macros. Radiators in the UK are typically designed for an 82 °C supply and 71 °C return temperature and are supplied by gas boilers. Energy and cost savings are therefore calculated against this as the base case [25].
The air set point temperature of the dwellings is chosen as 20 °C during occupied periods, based on a generic occupancy schedule [6,26]. To maintain the set point temperature, the radiators must balance the thermal losses from each dwelling. The energy balance used in the building model is given in Equations (1)–(3) [27].
Q ˙ C o n G a i n = Q ˙ s u r f a c e + Q ˙ i n f i l + Q ˙ v e n t + Q ˙ I C G + Q ˙ C A G + Q ˙ S o l w i n + Q ˙ s o l s h a d e
where Q ˙ C o n G a i n is the air node convective heat gain, Q ˙ s u r f a c e is the convective surface gains, Q ˙ i n f i l is the infiltration gains, Q ˙ v e n t is the ventilation gains, Q ˙ I C G is the internal convective gains,   Q ˙ C A G is the convective air gains from other thermal zones, Q ˙ S o l w i n the convective solar gains from external windows and Q ˙ s o l s h a d e is the portion of convective gains from absorbed solar radiation on shading devices. There is no mechanical ventilation and so:
Q ˙ v e n t = 0
It is impossible to accurately determine air exchange between flats without further study, so it is assumed to be negligible for the purpose of this investigation. Therefore
Q ˙ C A G = 0
The heat addition from infiltration is given as
Q ˙ i n f i l =   V ˙ ρ c p ( T o u t s i d e   a i r T i n s i d e   a i r )
where V ˙ is the volumetric flow rate of air, ρ the air density, cp the specific heat capacity and T the temperatures of the outside and inside air.
The radiative fraction calculations are complex and explained in detail elsewhere [27,28,29].

2.4. Water Source Heat Pump Design

The heat supply technology chosen is a river source heat pump, due to Glasgow’s large resource of river water. This is designed to operate by extracting 3 °C from the supply river water and deliver it to the main water. Although there are examples of water source heat pumps being able to condition water streams to 80 °C, WSHPs are typically only rated by manufacturers to 60/65 °C. For this reason, the heat pump is designed to condition the load stream to 60 °C. The load stream is then supplied with auxiliary heat from a gas boiler until it reaches the design supply temperature. No consideration is given to parasitic electrical load in the COP calculations (e.g., the electricity required to pump water to the heat pump). Figure 6 shows the adjusted TRNSYS model.
Figure 7 and Figure 8 show the daily average temperature and cross-sectional flow of the River Clyde at Daldowie (NS 67154 61642). There are currently no limitations imposed by the local authority on heat extraction, however, for operational reasons the heat pump is controlled to extract 3 °C from the abstracted river flow and to switch off when the return flow to the river falls below 2 °C. This sets a lower operating temperature of 5 °C on the abstracted river stream. When the heat pump is off, the radiator loop is conditioned to the set point by the gas boilers only. A simple proportional controller is used for the purposes of this study, but a more sophisticated control system could make it possible to store heat prior to the river dropping below 5 °C.

2.5. Radiator Loop

The radiator circuit is a closed loop feed, going from a small buffer tank to the radiator system and then back to the tank. The intermediate components shown in Figure 5 control the supply rates and pressure in the loop. Each dwelling is designed with 5kW of radiator capacity, which is typical of this dwelling type. From radiator sizing guidelines, this is undersized for the property—a common problem in UK housing.

2.6. Carbon Benefits

A standard carbon calculation is used to determine the carbon footprint of two energy systems. The first system is where the entire thermal load is met by a gas boiler. It is assumed that a condensing boiler is used with an efficiency of 90% [30,31]. The second system uses the heat pump to initially heat the water to 60 °C, and then uses a gas boiler to reach the set point temperature.

3. Results

3.1. Minimum Supply Temperature

Table 4 shows the average percentage of timesteps where the heating system could not maintain the set point temperature. Figure 9, Figure 10, Figure 11 and Figure 12 show the percentage of timesteps where the zone air temperature fell below 19 °C. Figure 13 shows the heating power across the sample year.

3.2. Carbon and Energy Savings

The following tables show the computational results from modelling the gas boiler and heat pump energy usage at each case study. Table 5 shows the minimum achievable supply temperature chosen from Section 3.1, which is then used as the set point temperature for the modelled radiator supply. Table 6 shows the energy usage and saving when space heating is met only by the gas boiler for the base case of 80 °C supply and for the chosen minimum. Table 7 shows the electricity and gas usage when the space heating is met by the river source heat pump and supplemented by gas boilers. Table 8 shows the equivalent carbon emissions for each case. All tables show results for the full block of flats.
The carbon emissions are based on the 2018 UK government conversion factor; 1 kWh electricity is 0.283 kg CO2e and 1 kWh natural gas is 0.204 kg CO2e [32].

4. Discussion

4.1. Minimum Supply Temperature

Figure 9, Figure 10, Figure 11 and Figure 12 show the percentage of time steps with non-zero control signal that are below 19 °C. The minimum supply temperature is chosen as the point where the system can meet approximately 80% of the demand. The additional 20% needed can be met through thermal storage; these demand side management techniques are well documented elsewhere and therefore not considered here. For dwellings with no insulation or double glazing, this does not drop significantly until the supply temperature reaches 85 °C (a typical operating temperature of domestic radiators in the UK). For smaller district heating networks, the supply temperature is often kept below 80 °C to allow the use of polyethylene or polybutylene pipes in the distribution network; these pipes can only cope with a maximum of 90 °C flow for short periods of time [25]. If thermal losses in the distribution system are considered, the temperature in the network will exceed 90 °C for a significant duration, meaning pre-insulated steel carrier pipes will likely be needed. This greatly increases the project costs. An alternative is to operate the network at a lower temperature, in order to minimize capital cost through the use of polymer piping and supplement the conditioned stream from a pre-existing heating system within the dwelling. This would add costs only to the end user, which is not preferable. Given the financial significance of dwelling connections to the network economic model, it is not recommended to adopt this approach. It can therefore be concluded that, for dwellings that are poorly insulated with low quality windows, internal improvements must be made before connection to a district heating network becomes a viable option.
When the dwelling has been fitted with insulation but no double glazing, a 70 °C flow can, on average, meet the heating demand for over 80% of the year. On addition of double glazing, a 65 °C flow can meet demand for around 79% of the year – largely similar to Case 3 with a 70 °C flow. Double glazing without insulation (Case 2) can only reach 78% of demand at 75 °C. As is to be expected, the lowest supply temperature is achievable with double glazing and insulation. The addition of insulation offers a 36.1% improvement on air temperature maintenance, while the addition of double glazing offers only 28.3% improvement in Case 1. Case 4 (both insulation and double glazing) offers a 39% improvement in Case 1, but only a 3% improvement in Case 2. It is therefore clear that, while the greatest improvement is with double glazing and insulation, the improvement by the double glazing is only marginal. The choice of double glazing should be considered based on the economic or carbon case.

4.2. Water Source Heat Pump Supply

In the sample year (2017), the average daily river Clyde temperature falls below 5 °C for 16% of the year. On these days, heating is supplied entirely from the gas boilers. For UK tenements, this necessitates a reliance on the gas boilers during this period; the boilers cannot be removed from the dwellings. While this is common in the UK, the dependence on gas can be phased out with improved thermal storage and demand side management.
For Case 1 (no insulation, single glazing), the supply temperature could not be reduced and so remained at 80 °C. When the water source heat pump is used with the gas boiler, a 25% reduction in energy and 20% carbon saving can be achieved.
From Table 7, it is clear that a reduction in total energy usage does not relate to a linear reduction in electricity to the heat pump. This is because the return temperature from the radiators is typically above the heating set point of the heat pump (60 °C), meaning that the heat pump is used to heat the radiator loop initially, but not continuously, during heating.

5. Conclusions

The UK faces challenges to decarbonize the domestic heating sector, but has few choices to do this. The best options will offer significant carbon benefits and be competitively priced to the current heating market. This work has presented a dynamic transient system simulation tool model of a typical tenement flat in the UK, one of the most common dwelling types. From this work, the following conclusions can be drawn:
The minimum supply temperature of domestic radiator systems, and therefore district heating schemes supplying tenement buildings, is strongly dependent on the building condition. Wall insulation can be difficult to install in solid wall tenement blocks but can yield a 16% energy saving on space heating per year, without lowering the supply temperature. Double glazing had less of an impact in this study but may be more significant in buildings with a greater window to wall ratio.
Tenement blocks in poor condition are unlikely to be able to connect to a district heating scheme, due to the high supply temperatures giving rise to a significant cost of carrier pipes.
In cases where no supply temperature reduction is feasible, energy and carbon savings can still be made from integrating low carbon technology. In Case 1 with heat pump supply at an 80 °C set point, energy consumption was reduced by 25% and the carbon footprint by 20%.
When building conditions permit, supply temperature can be reduced to around 65 °C and could yield almost a 70% reduction in space heating.
While there are currently no restrictions in Scotland on river heat abstraction, this is heavily dependent on the local laws.

6. Future Work

This work is presented as the start of a conversation around district heating connections for traditional housing in the UK. For this work to progress:
A substantial building condition survey of UK housing stock is needed to afford a better appreciation of the potential of low temperature heating.
Greater government incentive must be offered for privately owned dwellings to decarbonize heating.
Further minimum supply temperature studies of other dwelling types are needed, potentially offering a tool for developers to easily assess the minimum feasible supply temperature for retrofitted projects.

Author Contributions

Conceptualization, M.A.M., N.M.B. and Z.Y.; methodology, M.A.M.; investigation, M.A.M.; writing—original draft preparation, M.A.M.; writing—review and editing, M.A.M., N.M.B. and Z.Y.; supervision, N.M.B. and Z.Y.; funding acquisition, N.M.B. and Z.Y.

Funding

This research was funded by the National Productivity and Investment Fund EPSRC Doctoral Scheme (EP/R512266/1), Clyde Gateway and received support from the EPSRC “Combi-Gen” project (EP/P028829/1) and the EU H2020 LCE “DESTRESS” project (EC-691728). The research was also funded by the Newton Fund (EP/R003122/1) and research fund EP/N020472/1.

Acknowledgments

We would like to thank SEPA for supply the environmental data used in modelling. We would also like to thank Tim McDowell and David Bradley from TESS for the support received during the modelling process. Finally, we would like to thank the Glasgow City Archives for the use of building plans.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Breakdown of Scottish dwelling type by (a) number and (b) year built, in 2017 [3].
Figure 1. Breakdown of Scottish dwelling type by (a) number and (b) year built, in 2017 [3].
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Figure 2. Typical Glasgow tenement plans. Reproduced with permission from Glasgow City Archives.
Figure 2. Typical Glasgow tenement plans. Reproduced with permission from Glasgow City Archives.
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Figure 3. (a) Front, (b) back, and (c) isometric view of modelled tenement.
Figure 3. (a) Front, (b) back, and (c) isometric view of modelled tenement.
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Figure 4. TRNSYS Simulation Model. Blue lines show cold streams, red shows hot streams and grey shows auxiliary streams (occupancy schedules, control signals etc.).
Figure 4. TRNSYS Simulation Model. Blue lines show cold streams, red shows hot streams and grey shows auxiliary streams (occupancy schedules, control signals etc.).
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Figure 5. Expanded TRNSYS Model macro.
Figure 5. Expanded TRNSYS Model macro.
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Figure 6. TRNSYS model used for heat pump supply modelling.
Figure 6. TRNSYS model used for heat pump supply modelling.
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Figure 7. Average daily River Clyde water temperature at Daldowie for 2017.
Figure 7. Average daily River Clyde water temperature at Daldowie for 2017.
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Figure 8. River Clyde average daily volumetric flow at Daldowie for 2017.
Figure 8. River Clyde average daily volumetric flow at Daldowie for 2017.
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Figure 9. Case 1: no insulation and single glazing.
Figure 9. Case 1: no insulation and single glazing.
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Figure 10. Case 2: no insulation and double glazing.
Figure 10. Case 2: no insulation and double glazing.
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Figure 11. Case 3: insulation with single glazing.
Figure 11. Case 3: insulation with single glazing.
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Figure 12. Case 4: insulation and double glazing.
Figure 12. Case 4: insulation and double glazing.
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Figure 13. Case by case comparison of heating power demand at 80 °C.
Figure 13. Case by case comparison of heating power demand at 80 °C.
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Table 1. Summary of case studies.
Table 1. Summary of case studies.
Case NumberSingle GlazingDouble GlazingInsulationNo Insulation
1X X
2 X X
3X X
4 XX
Table 2. Initial heat transfer co-efficient of TRNBuild constructions.
Table 2. Initial heat transfer co-efficient of TRNBuild constructions.
Construction TypeMaterialsU Value (W/m2 K)
EXT_WALLPlasterboard
Sandstone
1.0
EXT_ROOFPlasterboard
Slate
2.5
ADJ_WALLPlasterboard
Brick
2.4
ADJ_CEILINGOAK2.4
GROUND_FLOOR 0.78
Table 3. Heat Transfer co-efficient for building materials.
Table 3. Heat Transfer co-efficient for building materials.
Building Component.Thermal Conductivity (W/m2K)
Single-glazed wooden windows5.8
Double-glazed PVC windows1.2
Solid wall—no Insulation1.0
Solid wall—insulated0.18
Table 4. Average percent of timesteps below 19 °C across all dwellings.
Table 4. Average percent of timesteps below 19 °C across all dwellings.
Average % of Timesteps below 19 °C
Supply Temperature (°C)Case
Case 1Case 2Case 3Case 4
6088.749.037.030.7
6581.739.727.020.9
7072.930.618.213.0
7561.022.011.37.4
8047.714.96.53.8
8534.79.23.21.7
9022.45.21.30.5
9512.92.80.40.1
1007.61.40.10.0
Table 5. Minimum supply temperature.
Table 5. Minimum supply temperature.
Minimum Temperature
Case 180
Case 275
Case 370
Case 465
Table 6. Gas boiler energy usage.
Table 6. Gas boiler energy usage.
Gas Boiler Energy Usage (MWh)
80 °CMinimumSaving
Case 12712710
Case 224923415
Case 32272198
Case 41541504
Table 7. Boiler and heat pump energy usage.
Table 7. Boiler and heat pump energy usage.
Boiler and Heat Pump Energy Usage (MWh)
80 °C Supply TemperatureMinimum Supply TemperatureSaving
GasElectricityTotalGasElectricityTotal
Case 116141202161412020
Case 214537.3182.313341.7174.77.6
Case 3132361681203315315
Case 475.432.5107.95136.887.820.1
Table 8. Carbon emissions.
Table 8. Carbon emissions.
Carbon Emissions (ton CO2e)
BoilerBoiler and Heat PumpSaving
80 °CMinimumSaving80 °CMinimum
Case 155.28455.284044.44744.4470
Case 250.79647.7363.0640.135938.93311.2028
Case 346.30844.6761.63237.11633.8193.297
Case 431.41630.60.81624.579121.92.68

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Millar, M.-A.; Burnside, N.; Yu, Z. An Investigation into the Limitations of Low Temperature District Heating on Traditional Tenement Buildings in Scotland. Energies 2019, 12, 2603. https://doi.org/10.3390/en12132603

AMA Style

Millar M-A, Burnside N, Yu Z. An Investigation into the Limitations of Low Temperature District Heating on Traditional Tenement Buildings in Scotland. Energies. 2019; 12(13):2603. https://doi.org/10.3390/en12132603

Chicago/Turabian Style

Millar, Michael-Allan, Neil Burnside, and Zhibin Yu. 2019. "An Investigation into the Limitations of Low Temperature District Heating on Traditional Tenement Buildings in Scotland" Energies 12, no. 13: 2603. https://doi.org/10.3390/en12132603

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