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2021 | OriginalPaper | Chapter

3. Application of Adaptive Thermal Comfort Models for Energy Saving in Buildings

Authors : David Bienvenido-Huertas, Carlos Rubio-Bellido

Published in: Adaptive Thermal Comfort of Indoor Environment for Residential Buildings

Publisher: Springer Singapore

Abstract

The use of natural ventilation achieves considerable energy consumption savings and reduces overheating risk in summer; however, it is less effective in regions where heating energy is more demanding. In this sense, the use of adaptive thermal comfort models is an opportunity to use natural ventilation optimally coupled with air conditioning systems when necessary. In this chapter, the use of variable setpoint temperatures has been analyzed, for static and adaptive patterns. Results show energy savings using two approaches with low economic investment and without comprising users’ thermal comfort. This chapter also analyzes the barriers and opportunities to improve energy performance in extant buildings. Results set that the potential of the application of the adaptive strategies on the Earth’s surface is high although it depends on the climatic conditions. Moreover, the applicability could be modified by global warming, considering future climate scenarios, but it still maintains significant energy savings. For that reason, architects and engineers are crucial to identify and apply the most appropriate adaptive measures in specific cases.

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previous chapter Adaptive Thermal Comfort Models for Buildings

next chapter Energy Savings Obtained with an Adaptive Approach with Respect to Building Envelope Improvement

American Society of Heating Refrigerating and Air Conditioning Engineers (2017) ASHRAE Standard 55-2017 thermal environmental conditions for human occupancy. Atlanta, GA, United States

Baek C, Park S (2012) Policy measures to overcome barriers to energy renovation of existing buildings. Renew Sustain Energy Rev 16:3939–3947. https://doi.org/10.1016/j.rser.2012.03.046 CrossRef

Bienvenido-Huertas D, Rubio-Bellido C, Farinha F, et al (2020a) Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern Spain. Build Environ 185. https://doi.org/10.1016/j.buildenv.2020.107313

Bienvenido-Huertas D, Rubio-Bellido C, Pérez-Fargallo A, Pulido-Arcas JA (2020b) Energy saving potential in current and future world built environments based on the adaptive comfort approach. J Clean Prod 249. https://doi.org/10.1016/j.jclepro.2019.119306

Bienvenido-Huertas D, Rubio-Bellido C, Pérez-Ordóñez J, Martínez-Abella F (2019) Estimating Adaptive Setpoint Temperatures Using Weather Stations. Energies 12:1197. https://doi.org/10.3390/en12071197 CrossRef

Bienvenido-Huertas D, Sánchez-García D, Pérez-Fargallo A, Rubio-Bellido C (2020c) Optimization of energy saving with adaptive setpoint temperatures by calculating the prevailing mean outdoor air temperature. Build Environ 170. https://doi.org/10.1016/j.buildenv.2019.106612

Bienvenido-Huertas D, Sánchez-García D, Rubio-Bellido C (2020d) Analysing natural ventilation to reduce the cooling energy consumption and the fuel poverty of social dwellings in coastal zones. Appl Energy 279. https://doi.org/10.1016/j.apenergy.2020.115845

Bienvenido-Huertas D, Sánchez-García D, Rubio-Bellido C (2020e) Comparison of energy conservation measures considering adaptive thermal comfort and climate change in existing Mediterranean dwellings. Energy 190. https://doi.org/10.1016/j.energy.2019.116448

Bienvenido-Huertas D, Sánchez-García D, Rubio-Bellido C, Oliveira MJ (2020) Influence of adaptive energy saving techniques on office buildings located in cities of the Iberian Peninsula. Sustain Cities Soc 53:101944. https://doi.org/10.1016/j.scs.2019.101944 CrossRef

10.

Bodach S, Hamhaber J (2010) Energy efficiency in social housing: opportunities and barriers from a case study in Brazil. Energy Policy 38:7898–7910. https://doi.org/10.1016/j.enpol.2010.09.009 CrossRef

11.

Chai KH, Yeo C (2012) Overcoming energy efficiency barriers through systems approach-A conceptual framework. Energy Policy 46:460–472. https://doi.org/10.1016/j.enpol.2012.04.012 CrossRef

12.

Chen X, Zhang Q, Zhai ZJ, Ma X (2019) Potential of ventilation systems with thermal energy storage using PCMs applied to air conditioned buildings. Renew Energy 138:39–53. https://doi.org/10.1016/j.renene.2019.01.026 CrossRef

13.

Chiesa G, Grosso M (2015) Geo-climatic applicability of natural ventilative cooling in the Mediterranean area. Energy Build 107:376–391. https://doi.org/10.1016/j.enbuild.2015.08.043 CrossRef

14.

Clark JD, Less BD, Dutton SM et al (2019) Efficacy of occupancy-based smart ventilation control strategies in energy-efficient homes in the United States. Build Environ 156:253–267. https://doi.org/10.1016/j.buildenv.2019.03.002 CrossRef

15.

Dowson M, Poole A, Harrison D, Susman G (2012) Domestic UK retrofit challenge: barriers, incentives and current performance leading into the Green Deal. Energy Policy 50:294–305. https://doi.org/10.1016/j.enpol.2012.07.019 CrossRef

16.

European Committee for Standardization (2007) EN 15251:2007 Indoor environmental input parameters for design and assessment of energy performance of buildings addressing indoor quality, thermal environment, lighting and acoustics. European Committee for Standardization, Brussels

17.

Faggianelli GA, Brun A, Wurtz E, Muselli M (2014) Natural cross ventilation in buildings on Mediterranean coastal zones. Energy Build 77:206–218. https://doi.org/10.1016/j.enbuild.2014.03.042 CrossRef

18.

Fleiter T, Worrell E, Eichhammer W (2011) Barriers to energy efficiency in industrial bottom-up energy demand models—a review. Renew Sustain Energy Rev 15:3099–3111. https://doi.org/10.1016/j.rser.2011.03.025 CrossRef

19.

Gil-Baez M, Barrios-Padura Á, Molina-Huelva M, Chacartegui R (2017) Natural ventilation systems in 21st-century for near zero energy school buildings. Energy 137:1186–1200. https://doi.org/10.1016/j.energy.2017.05.188 CrossRef

20.

Heracleous C, Michael A (2018) Assessment of overheating risk and the impact of natural ventilation in educational buildings of Southern Europe under current and future climatic conditions. Energy 165:1228–1239. https://doi.org/10.1016/j.energy.2018.10.051 CrossRef

21.

Hiyama K, Glicksman L (2015) Preliminary design method for naturally ventilated buildings using target air change rate and natural ventilation potential maps in the United States. Energy 89:655–666. https://doi.org/10.1016/j.energy.2015.06.026 CrossRef

22.

Jeong B, Jeong JW, Park JS (2016) Occupant behavior regarding the manual control of windows in residential buildings. Energy Build 127:206–216. https://doi.org/10.1016/j.enbuild.2016.05.097 CrossRef

23.

Kurekci NA (2016) Determination of optimum insulation thickness for building walls by using heating and cooling degree-day values of all Turkey’s provincial centers. Energy Build 118:197–213. https://doi.org/10.1016/j.enbuild.2016.03.004 CrossRef

24.

Nilsson A, Bergstad CJ, Thuvander L et al (2014) Effects of continuous feedback on households’ electricity consumption: potentials and barriers. Appl Energy 122:17–23. https://doi.org/10.1016/j.apenergy.2014.01.060 CrossRef

25.

Omrani S, Garcia-Hansen V, Capra BR, Drogemuller R (2017) On the effect of provision of balconies on natural ventilation and thermal comfort in high-rise residential buildings. Build Environ 123:504–516. https://doi.org/10.1016/j.buildenv.2017.07.016 CrossRef

26.

Parry ML, Canziani OF, Palutikof JP et al (2007) Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge

27.

Pisello AL, Castaldo VL, Taylor JE, Cotana F (2016) The impact of natural ventilation on building energy requirement at inter-building scale. Energy Build 127:870–883. https://doi.org/10.1016/j.enbuild.2016.06.023 CrossRef

28.

Poputoaia D, Bouzarovski S (2010) Regulating district heating in Romania: legislative challenges and energy efficiency barriers. Energy Policy 38:3820–3829. https://doi.org/10.1016/j.enpol.2010.03.002 CrossRef

29.

Ren Z, Chen D (2018) Modelling study of the impact of thermal comfort criteria on housing energy use in Australia. Appl Energy 210:152–166. https://doi.org/10.1016/j.apenergy.2017.10.110 CrossRef

30.

Sánchez-García D, Bienvenido-Huertas D, Tristancho-Carvajal M, Rubio-Bellido C (2019) Adaptive Comfort Control Implemented Model (ACCIM) for Energy Consumption Predictions in Dwellings under Current and Future Climate Conditions: A Case Study Located in Spain. Energies 12:1498. https://doi.org/10.3390/en12081498 CrossRef

31.

Sánchez-García D, Rubio-Bellido C, del Río JJM, Pérez-Fargallo A (2019) Towards the quantification of energy demand and consumption through the adaptive comfort approach in mixed mode office buildings considering climate change. Energy Build 187:173–185. https://doi.org/10.1016/j.enbuild.2019.02.002 CrossRef

32.

Sánchez-García D, Rubio-Bellido C, Marrero Meléndez M et al (2017) El control adaptativo en instalaciones existentes y su potencial en el contexto del cambio climático. Hábitat Sustentable 7:06–17. https://doi.org/10.22320/07190700.2017.07.02.01

33.

Sánchez-Guevara Sánchez C, Mavrogianni A, Neila González FJ (2017) On the minimal thermal habitability conditions in low income dwellings in Spain for a new definition of fuel poverty. Build Environ 114:344–356. https://doi.org/10.1016/j.buildenv.2016.12.029 CrossRef

34.

Santamouris M, Sfakianaki A, Pavlou K (2010) On the efficiency of night ventilation techniques applied to residential buildings. Energy Build 42:1309–1313. https://doi.org/10.1016/j.enbuild.2010.02.024 CrossRef

35.

Santos HRR, Leal VMS (2012) Energy vs. ventilation rate in buildings: a comprehensive scenario-based assessment in the European context. Energy Build 54:111–121. https://doi.org/10.1016/j.enbuild.2012.07.040 CrossRef

36.

Schleich J (2009) Barriers to energy efficiency: a comparison across the German commercial and services sector. Ecol Econ 68:2150–2159. https://doi.org/10.1016/j.ecolecon.2009.02.008 CrossRef

37.

Schleich J, Gruber E (2008) Beyond case studies: Barriers to energy efficiency in commerce and the services sector. Energy Econ 30:449–464. https://doi.org/10.1016/j.eneco.2006.08.004 CrossRef

38.

Schulze T, Eicker U (2013) Controlled natural ventilation for energy efficient buildings. Energy Build 56:221–232. https://doi.org/10.1016/j.enbuild.2012.07.044 CrossRef

39.

Sovacool BK (2009) The cultural barriers to renewable energy and energy efficiency in the United States. Technol Soc 31:365–373. https://doi.org/10.1016/j.techsoc.2009.10.009 CrossRef

40.

Spindler HC, Norford LK (2009) Naturally ventilated and mixed-mode buildings-Part I: thermal modeling. Build Environ 44:736–749. https://doi.org/10.1016/j.buildenv.2008.05.019 CrossRef

41.

Spyropoulos GN, Balaras CA (2011) Energy consumption and the potential of energy savings in Hellenic office buildings used as bank branches—a case study. Energy Build 43:770–778. https://doi.org/10.1016/j.enbuild.2010.12.015 CrossRef

42.

The Government of Spain (2006) Royal Decree 314/2006. Approving the Spanish Technical Building Code, Madrid, Spain

43.

The Government of Spain (2014) Royal Decree 216/2014, of 28 March, sets out the methodology for the calculation of the Voluntary Price for the Small Consumer

44.

Tong Z, Chen Y, Malkawi A (2017) Estimating natural ventilation potential for high-rise buildings considering boundary layer meteorology. Appl Energy 193:276–286. https://doi.org/10.1016/j.apenergy.2017.02.041 CrossRef

45.

Tong Z, Chen Y, Malkawi A et al (2016) Energy saving potential of natural ventilation in China: The impact of ambient air pollution. Appl Energy 179:660–668. https://doi.org/10.1016/j.apenergy.2016.07.019 CrossRef

46.

Tuominen P, Klobut K, Tolman A et al (2012) Energy savings potential in buildings and overcoming market barriers in member states of the European Union. Energy Build 51:48–55. https://doi.org/10.1016/j.enbuild.2012.04.015 CrossRef

47.

Tushar W, Wang T, Lan L et al (2017) Policy design for controlling set-point temperature of ACs in shared spaces of buildings. Energy Build 134:105–114. https://doi.org/10.1016/j.enbuild.2016.10.027 CrossRef

48.

Vine EL, Kazakevicius E (1999) Residential energy use in Lithuania: The prospects for energy efficiency. Energy 24:591–603. https://doi.org/10.1016/S0360-5442(99)00013-4 CrossRef

49.

Wan KKW, Li DHW, Lam JC (2011) Assessment of climate change impact on building energy use and mitigation measures in subtropical climates. Energy 36:1404–1414. https://doi.org/10.1016/j.energy.2011.01.033 CrossRef

50.

Wang T, Li X, Liao PC, Fang D (2016) Building energy efficiency for public hospitals and healthcare facilities in China: barriers and drivers. Energy 103:588–597. https://doi.org/10.1016/j.energy.2016.03.039 CrossRef

51.

Yun GY, Lee JH, Steemers K (2016) Extending the applicability of the adaptive comfort model to the control of air-conditioning systems. Build Environ 105:13–23. https://doi.org/10.1016/j.buildenv.2016.05.027 CrossRef

52.

Zhang Y, Wang Y (2013) Barriers’ and policies’ analysis of China’s building energy efficiency. Energy Policy 62:768–773. https://doi.org/10.1016/j.enpol.2013.06.128 CrossRef

Title: Application of Adaptive Thermal Comfort Models for Energy Saving in Buildings
Authors: David Bienvenido-Huertas
Carlos Rubio-Bellido
Publisher: Springer Singapore
Book: Adaptive Thermal Comfort of Indoor Environment for Residential Buildings
Print ISBN: 978-981-16-0905-3

Electronic ISBN: 978-981-16-0906-0

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-981-16-0906-0_3

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