1,383 research outputs found

    Development and validation of detailed building, plant and controller modelling to demonstrate interactive behaviour of system components

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    As plant modelling becomes capable of more complexity and detailed resolution, new opportunities arise for the virtual evaluation of discrete plant components such as flow control and energy conversion devices, and controllers. Such objects are conventionally developed and tested at the prototype stage in a laboratory environment. Designers now seek to use modelling technology to extend their understanding from limited laboratory test results to full building and plant system analysis. This paper describes the development of a modelling system, using ESP-r, for typical United Kingdom domestic house types with hydronic gas or oil fired central heating including radiator and underfloor heating systems, and with a variety of conventional or advanced control types. It demonstrates the ability of detailed building and plant modelling to reveal unexpected insights into how real control systems perform in combination with other plant items and in different building types, including estimation of their influence on annual energy consumption. Comparisons with measurements taken in test rooms confirm that the observed behaviour of controls is realised in practice. The authors conclude that the complex dynamic interactions that take place between the various elements that make up a real building energy system have an important influence on its overall energy performance, revealing causes of variance that cannot be identified by laboratory testing alone, or by simplistic energy assessment tools

    Analysis of retrofit air source heat pump performance : results from detailed simulations and comparison to field trial data

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    In the UK, gas boilers are the predominant energy source for heating in housing, due primarily to the ready availability of natural gas. The take-up of heat pumps has lagged far behind Europe and North America. However, with the development of standards for low and zero-carbon housing, gas price rises and the depletion of the UK's natural gas reserves, interest in heat pump technology is growing. Heat pumps, particularly air source heat pumps (ASHP), have the potential to be a direct, low-carbon replacement for gas boiler systems in housing. In this paper, monitored data and simulations were used to assess the performance of ASHP when retro-fitted into a dwelling. This required the development and calibration of a model of an ASHP device and its integration into a whole-building, dynamic simulation environment. The predictions of the whole-building model were compared to field trial data, indicating that it provided a suitable test bed for energy performance assessment. Annual simulations indicated that the ASHP produced 12% less carbon that an equivalent condensing gas boiler system, but was around 10% more expensive to run. However, the proposed UK renewable heat incentive transforms this situation, with income from ASHP heat generation exceeding the fuel costs

    The York Energy Demonstration Project: Final Report

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    In the early to mid 1990s the UK government funded a series of demonstration projects in local authority housing designed to implement a wide range of energy saving measures which could be incorporated into modernisation programmes. This programme (the Greenhouse Programme) ran from 1991 to 1994 and funded some 183 schemes (over 50,000 dwellings) of which the York project was one. In common with many energy demonstration projects, the York Project had two main aims. The first was to confirm that the application of readily available technology could deliver significant energy benefits within the context of a routine local authority housing modernisation programme. The second was to extract lessons for the operation of future energy conscious modernisation schemes

    ๊ณ ๋‹จ์—ดไธถ๊ณ ๊ธฐ๋ฐ€ ๊ณต๋™์ฃผํƒ ์˜จ์—ด์พŒ์  ์œ ์ง€ ๋ฐ ๋‚œ๋ฐฉ์—๋„ˆ์ง€ ์ €๊ฐ์„ ์œ„ํ•œ ์ €์˜จ๋‚œ๋ฐฉ์‹œ์Šคํ…œ ํƒ€๋‹น์„ฑ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ฑด์ถ•ํ•™๊ณผ, 2022. 8. ์—ฌ๋ช…์„.According to relevant statistics, residential buildings such as apartments in buildings account for 43.4% of the energy consumption of the entire building sector. In addition to the energy consumption of the electrical system, the next most important energy consumption system is the heating system. By examining and analyzing the literature of related studies, this thesis discovered that, while the thermal insulation and tightness of apartment building envelopes have greatly improved in recent years, the heating load has been reduced to a relatively low level. Regardless of whether individual or district heating is used, hot water at a higher temperature is still used to transfer heat for the room through radiant floor heating panels to meet the indoor heating load. The strengthening of the thermal insulation of the envelope has led to a continuous decrease in the heating load of apartments, which provides theoretical possibilities for the application of low-temperature heating systems in residential buildings. Therefore, in this thesis, two low-temperature heating systems using individual gas boilers as heat sources and three low-temperature district heating systems were constructed by referring to the forms of related existing heating systems. To analyze the applicability of low-temperature heating systems in high - insulation high-tightness apartment buildings, a model of the relevant building and heating system was created using the dynamic simulation software EnergyPlus 9.5 as a research tool. For assessing the applicability of the low-temperature heating system, an assessment strategy was constructed from three perspectives: heating performance, thermal comfort, and energy consumption. Finally, according to the evaluation system, by comparing with the existing heating systems. The main results of this study are as follows. (1) It was confirmed that all low-temperature heating systems can meet the indoor heating demand. Floor surface temperatures and room temperatures tend to be lower than those of existing heating systems. And the floor surface temperature does not exceed the upper limit 29โ„ƒ required in the ASHARE HANBDBOOK. (2) Both low-temperature individual heating systems can improve the heating performance, low temperature individual heating system that use outdoor reset control to regulate water temperature can further improve heating performance. In the assessment about low-temperature district heating systems, it was found that the low-temperature district heating systems with HIU equipment has the most significant improvement in heating performance. (3) As the supply water temperature decrease, the low-temperature heating systems often require longer operating times to meet the indoor heating load. That is why individual low-temperature heating systems with outdoor reset control and district low heating systems with HIU have the longest operating times. In contrast to the runtime scenario, however, energy savings in the study period of the two longest-running low-temperature heating systems that use different heat sources are the most significant.๊ด€๋ จ ํ†ต๊ณ„์— ๋”ฐ๋ฅด๋ฉด ๊ฑด๋ฌผ ๋‚ด ์•„ํŒŒํŠธ ๋“ฑ ์ฃผ๊ฑฐ์šฉ ๊ฑด์ถ•๋ฌผ์ด ์ „์ฒด ๊ฑด์ถ•๋ถ€๋ฌธ ์—๋„ˆ์ง€ ์†Œ๋น„๋Ÿ‰์˜ 43.4%๋ฅผ ์ฐจ์ง€ํ•˜๊ณ  ์žˆ๋‹ค. ์ „๊ธฐ ์‹œ์Šคํ…œ์˜ ์—๋„ˆ์ง€ ์†Œ๋น„ ์™ธ์— ๋‹ค์Œ์œผ๋กœ ์ฃผ๋ชฉํ•  ๋งŒํ•œ ๊ฒƒ์€ ๋‚œ๋ฐฉ ์‹œ์Šคํ…œ์˜ ์—๋„ˆ์ง€ ์†Œ๋น„์ด๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ๊ด€๋ จ ์—ฐ๊ตฌ๋ฌธํ—Œ์„ ์‚ดํŽด๋ณด๊ณ  ๋ถ„์„ํ•จ์œผ๋กœ์จ ์ตœ๊ทผ ์•„ํŒŒํŠธ ๊ฑด๋ฌผ ์™ธํ”ผ์˜ ๋‹จ์—ด์„ฑ๋Šฅ๊ณผ ๊ธฐ๋ฐ€์„ฑ์€ ๊ฐœ์„ ๋˜๋Š”๋ฐ ๋‚œ๋ฐฉ ๋ถ€ํ•˜๊ฐ€ ์ƒ๋Œ€์ ์œผ๋กœ ๋‚ฎ์€ ์ˆ˜์ค€์œผ๋กœ ๊ฐ์†Œํ•˜์˜€์Œ์„ ๋ฐœ๊ฒฌํ–ˆ๋‹ค. ํ•˜์ง€๋งŒ ๊ฐœ๋ณ„ ๋‚œ๋ฐฉ์ด๋“  ์ง€์—ญ ๋‚œ๋ฐฉ์ด๋“  ์ƒ๊ด€์—†์ด ๊ธฐ์ค€ ๋‚œ๋ฐฉ์‹œ์Šคํ…œ์—์„œ ๋†’์€ ์˜จ๋„์˜ ์˜จ์ˆ˜๋ฅผ ์ด์šฉํ•˜๊ณ  ๋ณต์‚ฌ ๋ฐ”๋‹ฅ ๋‚œ๋ฐฉ ํŒจ๋„์„ ํ†ตํ•ด ์‹ค๋‚ด์˜ ์—ด์„ ์ „๋‹ฌํ•˜๋Š” ๋ฐ๊ฐ€ ์œ ์ง€ํ•˜๊ณ  20์„ธ๋Œ€ ์ดˆ๋ฐ˜๊ณผ ํฐ ๋ณ€ํ™”๋Š” ์—†๋‹ค. ์™ธํ”ผ ๋‹จ์—ด์„ฑ๋Šฅ์˜ ๊ฐ•ํ™”๋กœ ์•„ํŒŒํŠธ์˜ ๋‚œ๋ฐฉ ๋ถ€ํ•˜๊ฐ€ ์ง€์†์ ์œผ๋กœ ๊ฐ์†Œํ•˜๋ฉด์„œ ์ฃผ๊ฑฐ์šฉ ๊ฑด๋ฌผ์— ์ €์˜จ ๋‚œ๋ฐฉ ์‹œ์Šคํ…œ์„ ์ ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์ด๋ก ์  ๊ฐ€๋Šฅ์„ฑ์„ ์ œ๊ณตํ•˜๊ณ  ์žˆ๋‹ค. ์ด์— ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๊ฐœ๋ณ„ ๊ฐ€์Šค๋ณด์ผ๋Ÿฌ๋ฅผ ์—ด์›์œผ๋กœ ์‚ฌ์šฉํ•˜๋Š” ์ €์˜จ ๋‚œ๋ฐฉ์‹œ์Šคํ…œ๊ณผ ๊ธฐ์กด ์ง€์—ญ๋‚œ๋ฐฉ์‹œ์Šคํ…œ์„ ์ฐธ๊ณ ํ•˜์—ฌ ์ €์˜จ ์ง€์—ญ ๋‚œ๋ฐฉ์‹œ์Šคํ…œ์„ ๊ตฌ์ถ•ํ•˜์˜€๋‹ค. ๋‹จ์—ด์„ฑ๊ณผ ๊ธฐ๋ง์„ฑ์ด ์ข‹์€ ์•„ํŒŒํŠธ ๋‚ด ์ €์˜จ๋‚œ๋ฐฉ์‹œ์Šคํ…œ์˜ ์ ์šฉ๊ฐ€๋Šฅ์„ฑ์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ๋™์  ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์†Œํ”„ํŠธ์›จ์–ด EnergyPlus 9.5๋ฅผ ์—ฐ๊ตฌ ๋„๊ตฌ๋กœ ์‚ฌ์šฉํ•˜์—ฌ ํ•ด๋‹น ๊ฑด๋ฌผ ๋ฐ ๋‚œ๋ฐฉ์‹œ์Šคํ…œ์˜ ๋ชจ๋ธ์„ ๋งŒ๋“ค์—ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ €์˜จ ๋‚œ๋ฐฉ ์‹œ์Šคํ…œ์˜ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด ๋‚œ๋ฐฉ ์„ฑ๋Šฅ, ์—ด์  ์พŒ์ ์„ฑ, ์—๋„ˆ์ง€ ์†Œ๋น„์˜ ์„ธ ๊ฐ€์ง€ ๊ด€์ ์—์„œ ํ‰๊ฐ€๋ฐฉ๋ฒ”์„ ๊ตฌ์ถ•ํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ํ‰๊ฐ€ ์‹œ์Šคํ…œ์— ๋”ฐ๋ผ ๊ธฐ์กด ๋‚œ๋ฐฉ ์‹œ์Šคํ…œ๊ณผ ๋น„๊ตํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ์ฃผ์š” ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค: (1) ๋ชจ๋“  ์ €์˜จ ๋‚œ๋ฐฉ ์‹œ์Šคํ…œ์ด ์‹ค๋‚ด ๋‚œ๋ฐฉ ์ˆ˜์š”๋ฅผ ๋งŒ์กฑ์‹œํ‚ฌ ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋ฐ”๋‹ฅ ํ‘œ๋ฉด ์˜จ๋„์™€ ์‹ค๋‚ด์˜จ๋„์€ ๊ธฐ์กด ๋‚œ๋ฐฉ ์‹œ์Šคํ…œ๋ณด๋‹ค ๋‚ฎ์€ ๊ฒฝํ–ฅ์ด ์žˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋ฐ”๋‹ฅ๋ฉด ์˜จ๋„๋Š” ASHARE HANBDBOOK์—์„œ ์š”๊ตฌํ•˜๋Š” ์ƒํ•œ 29โ„ƒ๋ฅผ ์ดˆ๊ณผํ•˜์ง€ ์•Š๋‹ค. (2) ์ €์˜จ ๊ฐœ๋ณ„ ๋‚œ๋ฐฉ ์‹œ์Šคํ…œ์˜ ๊ฒฝ์šฐ์—์„œ ๋‚œ๋ฐฉ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์‹ค์™ธ ๋ฆฌ์…‹ ์ปจํŠธ๋กค์„ ์‚ฌ์šฉํ•˜์—ฌ ์ˆ˜์˜จ์„ ์กฐ์ ˆํ•˜๋Š” ์ €์˜จ ๊ฐœ๋ณ„ ๋‚œ๋ฐฉ ์‹œ์Šคํ…œ์€ ๋‚œ๋ฐฉ ์„ฑ๋Šฅ์„ ๋”์šฑ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. ์ €์˜จ์ง€์—ญ๋‚œ๋ฐฉ์‹œ์Šคํ…œ์— ๋Œ€ํ•œ ํ‰๊ฐ€์—์„œ HIU ์žฅ๋น„๋ฅผ ๊ฐ–์ถ˜ ์ €์˜จ์ง€์—ญ๋‚œ๋ฐฉ์‹œ์Šคํ…œ์ด ๋‚œ๋ฐฉ์„ฑ๋Šฅ์„ ๊ฐ€์žฅ ํฌ๊ฒŒ ํ–ฅ์ƒ์‹œํ‚จ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. (3) ๊ณต๊ธ‰ ์˜จ์ˆ˜์˜จ๋„๊ฐ€ ๋‚ฎ์•„์ง์— ๋”ฐ๋ผ ์ €์˜จ ๋‚œ๋ฐฉ ์‹œ์Šคํ…œ์€ ์‹ค๋‚ด ๋‚œ๋ฐฉ์š”๊ตฌ๋ฅผ ๋งŒ์กฑํ•˜๊ธฐ ์œ„ํ•ด ๋” ๊ธด ์ž‘๋™ ์‹œ๊ฐ„์„ ํ•„์š”๋กœ ํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ๋‹ค. ๊ทธ๋ ‡๊ธฐ ๋•Œ๋ฌธ์— ์‹ค์™ธ ๋ฆฌ์…‹ ์ œ์–ด ๊ธฐ๋Šฅ์ด ์žˆ๋Š” ๊ฐœ๋ณ„ ์ €์˜จ ๋‚œ๋ฐฉ ์‹œ์Šคํ…œ ๋ฐ HIU ๊ธฐ๋Šฅ์ด ์žˆ๋Š” ์ง€์—ญ ์ €๋‚œ๋ฐฉ ์‹œ์Šคํ…œ์˜ ์ž‘๋™ ์‹œ๊ฐ„์ด ๊ฐ€์žฅ ๊ธธ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋Ÿฐํƒ€์ž„ ์‹œ๋‚˜๋ฆฌ์˜ค์™€ ๋‹ฌ๋ฆฌ, ์„œ๋กœ ๋‹ค๋ฅธ ์—ด์›์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฐ€์žฅ ์˜ค๋ž˜ ์ง€์†๋˜๋Š” ๋‘ ์ €์˜จ ๋‚œ๋ฐฉ ์‹œ์Šคํ…œ์˜ ์—ฐ๊ตฌ ๊ธฐ๊ฐ„ ์ค‘ ์—๋„ˆ์ง€ ๋งŽ์ด ์ ˆ์•ฝ์ด ๋œ๋‹ค.Chapter 1. Introduction 1 1.1. Study Background and Purpose 1 1.2. Research Approach and Scope 4 Chapter 2. Preliminary Study 8 2.1. Changes in the heating load of Apartment in Korea 8 2.1.1 Development of thermal insulation of the building envelope 8 2.1.2 Changes in the heating load of Apartment 9 2.2. Existing space heating systems in Korea 12 2.2.1 Radiant Floor Heating System 14 2.2.2 Independent Heating with Individual Boilers 23 2.2.3 District Heating 30 2.3. Low-temperature Hydronic Heating Systems 36 2.3.1 Definition of low-temperature heating system 37 2.3.2 Low-temperature District Heating 40 2.3.3 Heat Interface Unit 42 2.4 Summary 45 Chapter 3. Research Subjects 47 3.1. Research Apartment Object 47 3.1.1 Apartment model for simulation analysis 47 3.1.2 Heating load analysis of object multi-family building. 51 3.2 Space heating system 55 3.2.1 Gas Boiler 55 3.2.2 Floor Radiant Heating Panel 56 3.2.3 Control for heating system 57 3.3 Assessment strategy 59 3.3.1 Heating Performance and Thermal Comfort 59 3.3.2 Energy Consumption 60 3.4 Summary 61 Chapter 4. Evaluation of the suitability of low temperature heating systems 63 4.1 Assessment Overview 64 4.2 Assessment of the suitability of individual low-temperature heating systems 70 4.2.1 Applicability evaluation of individual low-temperature heating systems with fixed supply water temperature 70 4.2.2 Applicability evaluation of individual low-temperature heating systems with outdoor reset control 78 4.3 Assessment of the suitability of district low-temperature heating systems 85 4.3.1 Applicability evaluation of district low-temperature heating systems with constant supply water temperature 86 4.3.2 Applicability evaluation of low-temperature district heating systems with outdoor reset control 91 4.3.3 Applicability evaluation of district low-temperature heating systems with heat interface unit 97 4.4 Summary 102 Chapter 5. Conclusion 105์„

    Effect of boiler oversizing on efficiency: a dynamic simulation study

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    Gas boilers dominate domestic heating in the UK, and significant efficiency improvements have been associated with condensing boilers. However, the potential remains for further efficiency improvement by refining the control, system specification and installation in real dwellings. Dynamic building simulation modelling, including detailed heating system componentry, enables a deeper analysis of boiler underperformance. This paper explores the link between the space heat oversizing of boilers and on/off cycling using dynamic simulation, and their subsequent effect on boiler efficiency and internal temperatures. At plant size ratio (PSR) 8.5 daily cycles numbered over 50, similar to median levels seen in real homes. Simulations show that typical oversizing (PSR >3) significantly increases cycling behaviour and brings an efficiency penalty of 6โ€“9%. There is a clear link between raising PSR, increased cycling and an associated decreased efficiency; however, in the UK, boilers are regularly oversized with respect to space heating, especially combination boilers to cover peak hot water demand. Current legislation and labelling (ErP and SAP) overlook PSR as a determinant of system efficiency, failing to incentivise appropriate sizing. Reducing boiler oversizing through addressing installation practices and certification has the potential to significantly improve efficiency at low cost, decreasing associated carbon emissions. Practical application: This research provides the basis for a practical and cost effective means of assessing the potential for underperformance of boiler heating systems at the point of installation or refurbishment. By assessing the oversizing of the boiler with respect to space heating, unnecessary cycling and the associated efficiency penalty can be avoided. Plant size ratio, as an indicator of cycling potential, can be implemented in energy performance certificates (EPCs), through the standard assessment procedure (SAP), using existing data. The potential for real carbon savings in the existing boiler stock is considerable, and the findings have wider implications for next generation heating systems

    Development of next generation energy system simulation tools for district energy

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    Measure Guideline: Condensing Boilers - Control Strategies for Optimizing Performance and Comfort in Residential Applications

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    The combination of a gas-fired condensing boiler with baseboard convectors and an indirect water heater has become a common option for high-efficiency residential space heating in cold climates. While there are many condensing boilers available on the market with rated efficiencies in the low to mid 90% efficient range, it is imperative to understand that if the control systems are not properly configured, these heaters will perform no better than their non-condensing counterparts. Based on previous research efforts, it is apparent that these types of systems are typically not designed and installed to achieve maximum efficiency (Arena 2010). It was found that there is a significant lack of information for contractors on how to configure the control systems to optimize overall efficiency. For example, there is little advice on selecting the best settings for the boiler reset curve or how to measure and set flow rates in the system to ensure that the return temperatures are low enough to promote condensing. It has also been observed that recovery from setback can be extremely slow and, at times, not achieved. Recovery can be affected by the outdoor reset control, the differential setting on the boiler and over-sizing of the boiler itself. This guide is intended for designers and installers of hydronic heating systems interested in maximizing the overall system efficiency of condensing boilers when coupled with baseboard convectors. It is applicable to new and retrofit applications

    Do domestic heating controls save energy? A review of the evidence

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    ยฉ 2018 The Authors Claims about the benefits of heating controls are often biased, unsubstantiated, misleading, or incorrect. This paper presents a systematic and critical international review of the evidence for the energy saving, cost effectiveness and usability of heating controls. The focus is domestic, low-pressure hot water heating systems in temperate climates. Eleven different types of standard, advanced and smart controls are assessed plus five components and features that add smart functionality. The review retrieved over 2400 documents from on-line databases and other sources. Screening criteria and quality assurance scoring identified just 67 items, mainly from the UK and USA, which appeared to contain relevant evidence. This evidence was derived from computer modelling, field trials and full-scale experiments, and for usability, from expert evaluations and controlled assessments. The evidence was synthesised and its quality classified as very low, low, moderate or high using the GRADE system which is more commonly applied in evidence-based medicine. The energy savings of most heating controls depends strongly on whether the heating system is operated with a continuous or periodic heating pattern, as well as on the energy efficiency of the dwelling and the severity of the climate. For most control types, the quality of the evidence for energy savings was low, very low or non-existent. However, there was moderate quality evidence that, when appropriately commissioned, zonal controllers, which heat individual spaces to different temperatures at different times, could save energy compared to whole-house controllers, and that low-cost systems of this type could be cost-effective. There was moderate quality evidence that smart thermostats do not save energy compared to standard thermostats and programmers and may, in fact, increase energy demand. The usability studies focussed on general heating controls and programmable thermostats and provided high quality evidence that heating controls are difficult to use, especially by older people. However, no studies were uncovered that quantified the consequent energy penalty. There was no high quality evidence about the impact on energy demand of any of the heating controls studied, mainly because there have been no well-founded, large-scale, multi-disciplinary, multi-year field trials
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