Five energy retrofit houses in South Wales

Jones, Phillip John; Li, Xiaojun; Perisoglou, Emmanouil; Patterson, Joanne Louise

doi:10.1016/j.enbuild.2017.08.032

Cited by 33 publications

(26 citation statements)

References 13 publications

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“…This is because that staged retrofit studies are difficult to manage in occupied properties. Projects monitor the overall performance of homes through long-term monitoring campaigns, such as the work undertaken in Retrofit for the Future (Gupta et al 2015) or Jones et al (2017).…”

Section: Evaluating the Performance Of Retrofit Improvementsmentioning

confidence: 99%

The staged retrofit of a solid wall property under controlled conditions

Swan

Fitton

Gorse

et al. 2017

Energy and Buildings

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Section: Evaluating the Performance Of Retrofit Improvementsmentioning

confidence: 99%

The staged retrofit of a solid wall property under controlled conditions

Swan

Fitton

Gorse

et al. 2017

Energy and Buildings

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“…In fact, it is more necessary to reduce CO 2 emissions from existing buildings than from new buildings [4,5]. There is, in particular, a need for measures to improve the energy efficiency of deteriorated houses with high energy losses [6].…”

Section: Introductionmentioning

confidence: 99%

The Feasibility of Improving the Accuracy of In Situ Measurements in the Air-Surface Temperature Ratio Method

et al. 2018

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This paper reports on a feasibility study conducted to improve the in situ measurement accuracy of the air-surface temperature ratio (ASTR) method. The measured relative error rate was analyzed using the ISO 6946 [7.69 W/(m2·K)] and Korea Energy Saving Design Standard [9.09 W/(m2·K)] indoor total surface heat transfer coefficients. The relative error rate was analyzed according to fluctuations in outdoor temperature data. The relative error rate obtained using the ISO 6946 standard was analyzed about 6.3% and that obtained using the Korea Energy Saving Design Standard was about 9.5%. The relative error rate measured for outdoor temperature fluctuations of less than 1 K was about 4.62% and that for temperatures greater than 1 K was about 14.31%. The study results confirmed the cause of the error in the measurement of the ASTR. It was also found that the accuracy of the latter can be improved when the ISO 6946 indoor total surface heat transfer coefficient is applied and when outdoor temperature fluctuations less than 1 K are sampled and analyzed.

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“…Typically, gas appliances such as gas cookers and gas cookers with oven, water heaters and gas-fired central heating boilers were used in older buildings [2]. In modernised or newly designed residential buildings, water heaters and boilers are very often replaced with combi boilers which allow for the implementation of the two listed living needs [3,4]. These devices operate continuously, keeping the water circulation in the central heating system.…”

Section: Introductionmentioning

confidence: 99%

“…(a) I Category:o Gas cooker with an electric oven Vgc = 0.85 m3 /h (8kW), o Instantaneous water heater Viwh = 2.60 m 3 /h (24kW), o Single function gas boiler Vgb = 0.60 m 3 /h (5kW). (b) II Category: o Gas cooker with an electric oven Vgc = 0.85 m 3 /h (8kW), o Gas combi boiler max gcb V  2.60 m 3 /h (24kW) (gas demand for domestic hot water preparation), min gcb V  0.60 m 3 /h (5kW) (gas demand for space heating purposes).…”

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confidence: 99%

The comparison of calculation methods of gas demand in the installation with combi boilers

Jedlikowski

Englart

2018

E3S Web Conf.

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Combi boilers offer an economic alternative to individual single function gas boilers and instantaneous water heaters. These gas appliances allow for producing thermal energy for two heating purposes (space heating and hot water preparation). For this reason these compact and highly efficient devices are becoming increasingly popular in many residential buildings. The application of such heating systems often requires an adequate approach for determining the natural gas demand. The literature indicates several methods for this purpose, which often differ significantly. Differences in calculated results seem to be the main problem with these methods. Unfortunately, the selection of the above-mentioned gas appliances always causes overestimation of natural gas demand. This is mainly due to the fact that many calculation methods contain incorrect gas demand coefficients. Therefore, this paper presents various methods for estimating gas consumption for multi-family buildings. It provides discussion and analysis of various calculation methods for residential buildings equipped with two types of gas appliance. The performed analysis made it possible to indicate the most reliable methods of gas demand calculation.

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Five energy retrofit houses in South Wales

Cited by 33 publications

References 13 publications

The staged retrofit of a solid wall property under controlled conditions

The staged retrofit of a solid wall property under controlled conditions

The Feasibility of Improving the Accuracy of In Situ Measurements in the Air-Surface Temperature Ratio Method

The comparison of calculation methods of gas demand in the installation with combi boilers

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