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Part of the book series: Springer Tracts in Civil Engineering ((SPRTRCIENG))

Abstract

This chapter mainly focuses on energy use in housing and covers areas related to energy use breakdown, demand side management, fuel poverty, occupant behaviour and smart metering. It also touches on importance of reducing energy use and its associated carbon emissions by discussing best practice benchmarks. Some of the learning outcomes anticipated as follow: (1) Overview of the energy use in housing including its breakdown and usage trends. (2) Understanding the relationships between the demand side management and its associated carbon emissions as well as the supply side perspective. (3) Understanding the correlation between energy use and fuel poverty both locally and globally. The idea is to provide an overview of, and a basic ability to understand the energy use in housing in order to help design and retrofit housing projects toward reduction of energy demand and/or energy end-use efficiency. Energy benchmarks and best practice guidelines have been discussed as well as fuel poverty and interventions for adopting energy conscious behaviour. In addition, integration of renewables and smart technologies will be touched on to support demand side management including operation and maintenance.

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References

  • Alanne K, Saari A (2004) Distributed energy generation and sustainable development. Renew Sustain Energy Rev 10(6):539–558

    Article  Google Scholar 

  • Allen SR, Hammond GP, McManus MC (2008) Prospects for and barriers to domestic micro-generation: a United Kingdom perspective. Appl Energy 85(6):528–544

    Article  Google Scholar 

  • Autodesk (2015) Sustainability workshop. http://sustainabilityworkshop.autodesk.com/

  • Bahaj AS, Myers L, James PAB (2007) Urban energy generation: influence of micro-wind turbine output on electricity consumption in buildings. Energy Build 39(2):154–165

    Article  Google Scholar 

  • Bedros SJ, Markham T, Plocher T, Shetty P, Ekambaram T Mohammed N (2011) Context-aware smart home energy manager. Google Patents. US Patent App 12/852,690

    Google Scholar 

  • Burgett JM (2015) Fixing the American energy leak: the effectiveness of a whole-house switch for reducing standby power loss in U.S. residences. Energy Res Soc Sci 6:87–94

    Google Scholar 

  • Byun J, Park S, Kang B, Hong I, Park S (2013) Design and implementation of an intelligent energy saving system based on standby power reduction for a future zero-energy home environment. Consum Electron IEEE Trans 59(3):507–514

    Article  Google Scholar 

  • Carroll J, Lyons S, Denny E (2014) Reducing household electricity demand through smart metering: the role of improved information about energy saving. Energy Econo 45:234–243

    Article  Google Scholar 

  • Cambridge Econometrics & Verco (CEV) (2012) Jobs, growth and warmer homes—evaluating the economic stimulus of investing in energy efficiency measures in fuel poor homes. Consumer Focus, London

    Google Scholar 

  • DEFRA (2009) Adapting to climate change—UK climate projections. Department for Environment, Food and Rural Affairs, London

    Google Scholar 

  • DECC (2013a) Annual report on fuel poverty statistics 2013. Department of Energy and Climate Change, London

    Google Scholar 

  • Department of Energy and Climate Change (DECC) (2013b) Fuel poverty report—Updated August 2013. London

    Google Scholar 

  • Department of Energy and Climate Change (DECC) (2015). Smart meters, Great Britain, quarterly report to end March 2015. United Kingdom Government. Online. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/433643/Smart_Meters_Quarterly_Statistics_Report_Q1_2015.pdf. Accessed 23 Nov 2015

  • Dong B, Andrews B (2009) Sensor based occupancy behaviour pattern recognition for energy and comfort management in intelligent buildings. In: 11th international building performance simulation association (IBPSA) conference

    Google Scholar 

  • DTI (2007) Meeting the energy challenge a white paper on energy. Department of Trade and Industry, Editor 2007, The Stationery Office, Norwich

    Google Scholar 

  • Energy UK (2015) http://www.energy-uk.org.uk/policy/fuel-poverty.html

  • EnergieAgentur.NRW (2014) Deutsch: 20. Station der Zukunftsenergientour: Energieeffizienz-Projekte SmartHome in Paderborn. https://commons.wikimedia.org/wiki/File:20._Station_der_Zukunftsenergientour-_Energieeffizienz-Projekte_SmartHome_in_Paderborn_(12100915513).jpg

  • Erickson V, Cerpa A (2010) Occupancy based demand response HVAC control strategy. In: Proceedings of the 2nd ACM workshop on embedded sensing systems for energy saving

    Google Scholar 

  • EU Fuel Poverty Network (FPN) (2013) http://www.fuelpoverty.eu

  • Faruqui A, Sergici S, Sharif A (2010) The impact of informational feedback on energy consumption—a survey of the experimental evidence. Energy 35(4):1598–1608

    Article  Google Scholar 

  • Florida Solar Energy Center (FSEC) (2015) University of Central Florida. http://www.fsec.ucf.edu/en/

  • Gomez C, Paradells J (2010) Wireless home automation networks: a survey of architectures and technologies. Commun Magazine IEEE 48(6):92–101

    Article  Google Scholar 

  • Green Mountain Energy (GME) (2015) New insights on where your home’s energy use is going. http://www.greenmountaincleanertimes.com/2013/04/05/new-insights-on-where-your-homes-energy-use-is-going/

  • Han L, Altan H, Noguchi M (2012) Promoting energy conscious behaviour of occupants through monitoring energy usage patterns. In: Proceedings of 2nd international conference on zero energy mass customized housing (ZEMCH), Glasgow, UK

    Google Scholar 

  • Henry JC, Peter RS, Chow WK (2004) Dictionary of architectural and building technology. Spon Press, Routledge

    Google Scholar 

  • Hills J (2012) Getting the measure of fuel poverty—final report of the fuel poverty review (PDF) (Report) (1st edn). Department of Energy and Climate Change. Retrieved 28 Oct 2013

    Google Scholar 

  • HSE (2015) Health and safety executive. www.hse.gov.uk

  • IWU (2014) IEE project EPISCOPE. http://www.episcope.eu

  • Li J, Liu D, Yang B (2004) Smart home research. In: Proceedings of the third conference on machine learning and cybernetics SHANGHAI, pp 659–664

    Google Scholar 

  • Kailas A, Cecchi V, Mukherjee A (2012) A survey of communications and networking technologies for energy management in buildings and home automation. J Comput Netw Commun 2012

    Google Scholar 

  • Mapawatt (2015) Outside temperature and energy consumption. http://mapawatt.com/2009/09/13/outside-temperature-and-energy-consumption

  • Masoso O, Grobler LJ (2009) The darkside of occupants’ behaviour on building energy use. Energy Build 42(2):173–177

    Article  Google Scholar 

  • MES College of Engineering (COE) (2015) Types of lamps. http://www.slideshare.net/

  • Milsom E (2014) Solid wall heat losses and the potential for energy saving: literature review. Technical report, DECC, Building Research Establishment Ltd., (BRE) UK

    Google Scholar 

  • Newsham G, Mahdavi A, Beausoleil-Morrison I (1995) Lightswitch: a stochastic model for predicting office lighting energy consumption. In: 3th European conference on energy efficient lighting, pp 60–66

    Google Scholar 

  • Page J, Robinson D, Morel N, Scartezzini J-L (2008) A generalised stochastic model for the simulation of occupant presence. Energy Build 40:83–98

    Article  Google Scholar 

  • Pedrasa MAA, Spooner TD, MacGill IF (2010) Coordinated scheduling of residential distributed energy resources to optimize smart home energy services. IEEE Trans Smart Grid 1(2):123–143

    Article  Google Scholar 

  • Pew Center on Global Climate Change (PCGCC) (2009) Climate techbook: building envelope. Available at http://www.pewclimate.org/technology/factsheet/BuildingEnvelope#8. Accessed 23 Nov 2015

  • Reinhart C (2004) Lightswitch-2002: a model for manual and automated control of electric lighting and blinds. Sol Energy 77(1):15–28

    Article  Google Scholar 

  • Robles RJ, Kim T (2010) Applications, systems and methods in smart home technology: a review. Int J Adv Sci Technol

    Google Scholar 

  • Scarpa R, Willis K (2010) Willingness-to-pay for renewable energy: primary and discretionary choice of British households’ for micro-generation technologies. Energy Econ 32(1):129–136

    Article  Google Scholar 

  • Seryak J, Kissock K (2000) Occupancy and behavioural affects on residential energy use. In: Proceedings of annual conference on American solar energy society

    Google Scholar 

  • Spears J (2013) Standby energy could power Canada. Proquest technical report 2013

    Google Scholar 

  • Stromback J, Dromacque C, Yassin MH, Vaasa ETT, Global Energy Think Tank (2011) The potential of smart meter enabled programs to increase energy and systems efficiency: a mass pilot comparison Short name: Empower Demand. Vaasa ETT

    Google Scholar 

  • Switch (2011) 6.3 Million or almost a quarter of all households are now in fuel poverty. 07 June 2011

    Google Scholar 

  • Technology Green Energy (TGE) (2015) Energy efficient houses. http://technology-green-energy.blogspot.in/2013/10/energy-efficient-houses.html

  • TERI (2011) GRIHA manual vol 3: technical Manual for trainers on building and system design optimization renewable energy application. Ministry of New and Renewable Energy, Government of India and the Energy and Resources Institute, New Delhi

    Google Scholar 

  • UKACE (2015) http://www.ukace.org/wp-content/uploads/2014/02/ACE-and-EBR-fact-file-2014-02-Fuel-Poverty-update-2014.pdf

  • UK National Renewable Energy Centre (NAREC) (2000). Warm homes and energy conservation act (Report). UK National Renewable Energy Centre (NAREC). Retrieved 28 Oct 2013

    Google Scholar 

  • UK National Renewable Energy Centre (NAREC) (2013) NAREC distributed energy (2013), “4”, ERDF social housing energy management project—final project report (PDF) (report) (1st edn), p 10. Retrieved 28 Oct 2013

    Google Scholar 

  • US Department of Energy (DOE) (2015) Types of homes | Department of Energy. Energy.gov. N.p. Accessed 23 Nov 2015

    Google Scholar 

  • Webb T (2008) Fury as fuel poverty soars close to a 10-year record. Observer 20. Retrieved 09 May 2008

    Google Scholar 

  • Whole Building Design Guide (WBDG) (2015) National Institute of Building Sciences, an authoritative source of innovative solutions for the built environment. http://www.wbdg.org/

  • Vanquis Money Management News (VMMN) (2011) Bills ‘cost 27 % of household income’, 16 Nov 2011

    Google Scholar 

  • Vimmr V (2013) Tabula—residential building typologies in 12 European countries—good practice example from the Czech Republic. Central Europe towards sustainable building 2013

    Google Scholar 

  • Yamaguchi Y, Shimoda Y, Mizuno M (2003) Development of district energy system simulation model based on detailed energy demand model. In: 8th International IBPSA conference

    Google Scholar 

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Correspondence to Hasim Altan .

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Altan, H., Han, L., Wagner, K., Ortega, J.L.G., Deep, A. (2016). Energy Use in Housing. In: Noguchi, M. (eds) ZEMCH: Toward the Delivery of Zero Energy Mass Custom Homes. Springer Tracts in Civil Engineering . Springer, Cham. https://doi.org/10.1007/978-3-319-31967-4_7

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  • DOI: https://doi.org/10.1007/978-3-319-31967-4_7

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