Skip to main content

Establishment of Electrical Energy Benchmarking Protocol for the Assessment of the Carbon Emissions in Hotel Industry

  • Chapter
  • First Online:
Energy Footprints of the Bio-refinery, Hotel, and Building Sectors

Abstract

The hotel industry consumes quite a sizeable quantum of energy. The industry stakeholders contend with energy related challenges; this includes high cost of service provision as a fall out of electricity price as well as poor energy policy. More so, this industry remains an unattractive subsector to both the energy players and succeeding governments (in Nigeria). Due to the great importance of this industry to commerce, tourism and hospitality; it is thus necessary to conduct its energy performance analysis. This will indirectly provide a template for an efficient utilization of energy in the industry. Though there are no creditable national records on energy consumption in this industry in Nigeria, but a well-calibrated energy data treatment method is developed to establish an acceptable protocol using relevant statistical tools. These methods are tested on an empirically selected number of hotels which are actively involved in business activities in Lagos metropolis. The results obtained clearly established that a number of building parameters have a set of measurable influence on energy use, as well as carbon emission, in the hotels. To support this, it is discovered that the relationship between the total floor area (footprint) and number of employees has the highest influence on energy utilization in the hotels.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Abomeh OS (2012) Hospitality and tourism manpower training and education in Nigeria. Afro Asian J Soc Sci 3(3.4):1–18

    Google Scholar 

  • Ali Y, Mustafa M, Al-Mashaqbah S, Mashal K, Mohsen M (2008) Potential of energy savings in the hotel sector in Jordan. Energy Convers Manag 49:3391–3397

    Article  Google Scholar 

  • Amadi O (2008) Nigeria hotels and boom in tourism. Businessday Newspaper, p 9

    Google Scholar 

  • Anderson RI, Fok R, Scott J (2000) Hotel industry efficiency: an advanced linear programming examination. Am Bus Rev 18(1):40–48. Available at: http://search.proquest.com/docview/216312569?accountid=14744

  • Becken S, Frampton C, Simmons D (2001) Energy consumption patterns in the accommodation sector—the New Zealand case. Ecol Econ 39(3):371–386

    Article  Google Scholar 

  • Bohdanowicz P, Churie-Kallhauge A, Martinac I, Rezachek D (2001) Energy-efficiency and conservation in hotels—towards sustainable tourism. In: 4th international symposium on Asian Pacific Architecture, Hawaii, April, pp 1–12

    Google Scholar 

  • Bohdanowicz P (2005) Sustainable hotels—environmental reporting according to Green Globe 21, Green Gloves Canada/GEM UK, IHEI Benchmarkhotel and Hilton Environmental Reporting

    Google Scholar 

  • Bohdanowicz P, Martinac I (2007) Determinants and benchmarking of resource consumption in hotels—case study of Hilton International and Scandic in Europe. Energy Build 39:82–95

    Article  Google Scholar 

  • Chan WW, Lam JC (2002) Prediction of pollutant emission through electricity consumption by the hotel industry in Hong Kong. Int J Hospitality Manag 21(4):381–391

    Article  Google Scholar 

  • Chung W, Hui YV, Lam YM (2006) Benchmarking the energy efficiency of commercial buildings. Appl Energy 83(1):1–14

    Article  Google Scholar 

  • Cibse T (2006) Degree-days: theory and application. Chartered Institution of Building Services Engineers, London

    Google Scholar 

  • Deng S (2003) Energy and water uses and their performance explanatory indicators in hotels in Hong Kong. Energy Build 35:775–784

    Article  Google Scholar 

  • Deng S, Burnett J (2000) A study of energy performance of hotel buildings in Hong Kong. Energy Build 31:7–12

    Article  Google Scholar 

  • Duarte R, De Matos M (2006) Energy benchmarking of double-skin façade buildings

    Google Scholar 

  • European T.C. of the & Energy (2001) Energy savings by combined heat cooling and power plants (CHCP) in the hotel sector. Stockholm, Sweden

    Google Scholar 

  • Farrou I, Kolokotroni M, Santamouris M (2012) A method for energy classification of hotels: a case-study of Greece. Energy Build 55:553–562

    Article  Google Scholar 

  • Farrou I (2013) Investigation of energy performance and climate change adaptation strategies of hotels in Greece. Ph.D. thesis, Brunel University

    Google Scholar 

  • Filimonau V, Dickinson J, Robbins D, Huijbregts MAJ (2011) Reviewing the carbon footprint analysis of hotels: life cycle energy analysis (LCEA) as a holistic method for carbon impact appraisal of tourist accommodation. J Clean Prod 19(17–18):1917–1930

    Article  Google Scholar 

  • Hong T, Yang L, Xia J, Feng W (2014) Building energy benchmarking between the United States and China: methods and challenges. In: Proceedings of the 8th international symposium on heating, ventilation and airconditioning, vol 3, building simulation and information management, Lecture Notes in Electrical Engineering, 263, pp 473–486

    Google Scholar 

  • Hui SCM, Wan MCW (2013) Study of hotel energy performance using data envelopment analysis. In: 12th International Conference on Sustainable Energy technologies (SET-2013), pp 26–31

    Google Scholar 

  • Hwang SN, Chang TY (2003) Using data envelopment analysis to measure hotel managerial efficiency change in Taiwan. Tour Manag 24(4):357–369

    Article  MathSciNet  Google Scholar 

  • Ibeh PE, Ikegwu EM, Amaechi CJ (2016) Tourism development: a revolutionalised sector as a panacea for dwindling hospitality business in Nigeria. Int J Sci Soc Yabatech 4(1):39–46

    Google Scholar 

  • International Tourism Partnership (2014) Environmental management for hotels: the industry guide to sustainable operation. International Tourism Partnership, pp 1–23

    Google Scholar 

  • Keh HT, Chu S, Xu J (2005) Efficiency, effectiveness and productivity of marketing in services. Eur J Oper Res 170(1):265–276

    Article  Google Scholar 

  • Khemiri A, Hassairi M (2005) Development of energy efficiency improvement in the Tunisian hotel sector: a case study. Renew Energy 30(6):903–911

    Article  Google Scholar 

  • Krese G, Prek M, Butala V (2012) Analysis of building electric energy consumption data using an improved cooling degree day method. Strojniški vestn—J Mech Eng 58(2):107–114. Available at: http://en.sv-jme.eu/data/upload/2012/02/05_2011_160_Krese_05.pdf

  • Li Q, Ren P, Meng Q (2010) Prediction model of annual energy consumption of residential buildings. In: 2010 international conference on advances in energy engineering (ICAEE), pp 223–226

    Google Scholar 

  • Li Z, Han Y, Xu P (2014a) Methods for benchmarking building energy consumption against its past or intended performance: an overview. Appl Energy 124:325–334. Available at: http://dx.doi.org/10.1016/j.apenergy.2014.03.020

  • Li Q, Xiong W, Chen J, Zheng G, Li Z, Mills JL, Liu A (2014b) A robust test for quantitative trait analysis with model uncertainty in genetic association studies. Stat Interface 7:61–68

    Article  MathSciNet  Google Scholar 

  • Lu S, Wei S, Zhang K, Kong X, Wu W (2013) Investigation and analysis on the energy consumption of starred hotel buildings in Hainan Province, the tropical region of China. Energy Convers Manag 75:570–580

    Article  Google Scholar 

  • Lung-Tan L (2015) Performance and efficiency evaluations of international hotels in Taipei. Int J Econ Finance 7(7):64–73

    Google Scholar 

  • Ma JH (2005) Foundation of management and statistic. Tianjin University Press, Tianjin

    Google Scholar 

  • MacDonald JM (2001) Benchmarking residential energy use, http://amet-me.mnsu.edu/userfilesshared/solarwall/Benchmarking/Benchmarking%20Residential%20Energy%20Use.pdf/. Accessed 12 Jan 2018

  • Manasakis C, Apostolakis A, Datseris G (2013) Using data envelopment analysis to measure hotel efficiency in Crete. Int J Contemp Hospitality Manag 25(4):510–535

    Article  Google Scholar 

  • Maxwell KD, Forselius P (2000) Benchmarking software development productivity. IEEE Softw 17(1):80–88

    Article  Google Scholar 

  • Min H, Min H, Joo SJ, Kim J (2008) A data envelopment analysis for establishing the financial benchmark of Korean hotels. Int J Serv Operat Manag 4(2), 201. Available at: http://www.inderscience.com/link.php?id=16611

  • Morey RC, Dittman DA (1995) Evalatn a Hotel GM’s performance: a case study in benchmarking. Cornell Hotel Restaurant Adm Q 36(5):30–35

    Google Scholar 

  • Oluseyi PO, Babatunde OM, Babatunde OA (2016) Assessment of energy consumption and carbon footprint from the hotel sector within Lagos, Nigeria. Energy Build 118:106–113

    Article  Google Scholar 

  • Önüt S, Soner S (2006) Energy efficiency assessment for the Antalya Region hotels in Turkey. Energy Build 38(8):964–971

    Article  Google Scholar 

  • Oukil A, Al-Zidi A (2017) Benchmarking the hotel industry in Oman through a three-stage DEA. SQU J Humanit Soc Sci

    Google Scholar 

  • Papamarcou M, Kalogirou S (2001) Financial appraisal of a combined heat and power system for a hotel in Cyprus. Energy Convers Manag 42(6):689–708

    Article  Google Scholar 

  • Pereira Oliveira RSL, Pedro MIC, da Cunha Marques RDR (2015) Efficiency evaluation of Portuguese Hotels in the Algarve using data envelopment analysis (DEA). Rev Bras de Gestão de Negócios 17(54):788–805

    Google Scholar 

  • Pieri SP, Santamouris M et al (2015) Identifying energy consumption patterns in the Attica hotel sector using cluster analysis techniques with the aim of reducing hotels CO2 footprint. Energy Build 94:252–262

    Google Scholar 

  • Poldrugovac K, Tekavcic M, Jankovic S (2016) Efficiency in the hotel industry: an empirical examination of the most influential factors. Econ Res-Ekonomska Istraživanja 29(1):583–597

    Article  Google Scholar 

  • Priyadarsini R, Xuchao W, Eang LS (2009) A study on energy performance of hotel buildings in Singapore. Energy Build 41(12):1319–1324

    Article  Google Scholar 

  • Reddy TA, Saman NF, Claridge DE, Haberl JS, Turner WD, Chalifoux AT (1997) Baselining methodology for facility-level monthly energy use-part 1: theoretical aspects. ASHRAE Trans, pt 2 ed., 103:336–347

    Google Scholar 

  • Rossello-Batle B, Moia A, Cladera A, Martinez V (2010) Energy use, CO2 emissions and waste throughout the life cycle of a sample of hotels in the Balearic Islands. Energy Build 42(4):547–558

    Article  Google Scholar 

  • Ryu J-H, Hong W-H, Seo Y-K (2014) A study of the analysis on the properties of electricity peak load of large hotel building in consideration of energy efficiency. Adv Sci Technol Lett 47(2):6–10

    Google Scholar 

  • Sanni MR (2009) The influence of the economy on hospitality in Nigeria. Ethiop J Environ Stud Manag 2(1):29–34

    Article  Google Scholar 

  • Shiming D, Burnett J (2002) Energy use and management in hotels in Hong Kong. Hospitality Manag 21:371–380

    Article  Google Scholar 

  • Sun H, Lee SE, Priyadarsini RMT, Wu X, Chia Y, Majid H-S (2006) Building energy performance benchmarking and simulation under tropical climatic conditions. International workshop of energy performance environmental quality of buildings, Milos Island, Greece, pp 1–9

    Google Scholar 

  • Takane Y, Yanai H, Hwang H (2006) An improved method for generalized constrained canonical correlation analysis. Comput Stat Data Anal 50(1):221–241

    Article  MathSciNet  Google Scholar 

  • Tantiwanit K (2007) Establishing energy consumption benchmarks of office buildings in Bangkok

    Google Scholar 

  • Teng C, Horng J, Hu M, Chien L, Shen Y (2012) Developing energy conservation and carbon reduction indicators for the hotel industry in Taiwan. Int J Hospitality Manag 31(1):199–208

    Article  Google Scholar 

  • Trung DN, Kumar S (2005) Resource use and waste management in Vietnam hotel industry. J Clean Prod 13:109–116

    Article  Google Scholar 

  • Tsai H (2009) Star-rated hotel productivity in china: a provincial analysis using the DEA cross-efficiency evaluation approach. J China Tourism Res 5(3):243–258

    Article  Google Scholar 

  • Tzschentke NA, Kirk D, Lynch PA (2008) Going green: decisional factors in small hospitality operations. Int J Hospitality Manag 27(1):126–133

    Article  Google Scholar 

  • Wang JC (2012) A study on the energy performance of hotel buildings in Taiwan. Energy Build 49:268–275

    Article  Google Scholar 

  • Wang JC, Huang K-T (2013) Energy consumption characteristics of hotel’s marketing preference for guests from regions perspective. Energy 52:173–184

    Article  Google Scholar 

  • Wang L (2005) Support vector machines : theory and applications

    Google Scholar 

  • Wikipedia, Correlation coefficient. https://en.wikipedia.org/wiki/Correlation_coefficient. Accessed 6 Nov 2017

  • Wu J, Song H (2011) Operational performance and benchmarking: a case study of international tourist hotels in Taipei. Afr J Bus Manag 5(22):9455–9465

    Google Scholar 

  • Xin Y, Lu S, Zhu N, Wu W (2012) Energy consumption quota of four and five star luxury hotel buildings in Hainan province, China. Energy Build 45:250–256

    Article  Google Scholar 

  • Xuchao W, Priyadarsini R, Siew Eang L (2010) Benchmarking energy use and greenhouse gas emissions in Singapore’s hotel industry. Energy Policy 38(8):4520–4527

    Article  Google Scholar 

  • Xuchao W (2007) Energy performance of hotel buildings. Thesis, National University of Singapore

    Google Scholar 

  • Xydis G, Koroneos C, Polyzakis A (2009) Energy and exergy analysis of the Greek hotel sector : an application. Energy Build 41:402–406

    Google Scholar 

  • Yao Z, Zhuang Z, Gu W (2015) Study on energy use characteristics of hotel buildings in Shanghai. Procedia Eng 121:1977–1982

    Article  Google Scholar 

  • Yen FL, Othman M (2011) Data envelopment analysis to measure efficiency of hotels in Malaysia. SEGi Rev 4(1):25–36

    Google Scholar 

  • Yik FWH, Burnett J, Prescott I (2001) Predicting air-conditioning energy consumption of a group of buildings using different heat rejection methods. Energy Build 33(2):151–166

    Article  Google Scholar 

  • Yoon S-H, Park C-S (2017) Objective building energy performance benchmarking using data envelopment analysis and Monte Carlo sampling. Sustain (Switzerland) 9(5)

    Google Scholar 

  • Zhao H, Magoulès F (2012) A review on the prediction of building energy consumption. Renew Sustain Rev 16:3586–3592

    Article  Google Scholar 

Download references

Acknowledgements

The authors immensely appreciate the Department of Electrical/Electronics Engineering, University of Lagos, Nigeria for critical assistance offered as well as the staff of Hotel and Catering Management of Yaba College of Technology, Lagos Nigeria for information provided as well as the past and current Masters students of the corresponding author who offered Energy Resources and Management course (taught by him) for their critiques/contributions, especially Mr. Oluwabori Babatunde. The valuable assistance of Dr. Ighravwe Desmond for making available some of the software applied in this work is also highly commended.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. O. Oluseyi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Babatunde, O.M., Oluseyi, P.O., Denwigwe, I.H., Akin-Adeniyi, T.J. (2019). Establishment of Electrical Energy Benchmarking Protocol for the Assessment of the Carbon Emissions in Hotel Industry. In: Muthu, S. (eds) Energy Footprints of the Bio-refinery, Hotel, and Building Sectors. Environmental Footprints and Eco-design of Products and Processes. Springer, Singapore. https://doi.org/10.1007/978-981-13-2466-6_3

Download citation

Publish with us

Policies and ethics