Modelling of Energy and Water Supplies in Hotels in Lanzarote and Fuerteventura with and Without Desalination Plant (SWROP)

Objectives: This article presents a comparative study of energy and water consumption in four-star hotels in the Canary Islands (Spain), specifically on the islands of Fuerteventura and Lanzarote, with and without desalination sea water reverse osmosis plants (SWROP), of order to define a pattern of consumption based on the average occupancy rates of different establishments. Methods/Statistical Analysis: The method used for regression calculations of the data obtained has been, initially the data collection and filtration, perform the mean arithmetic of the data according to the intervals calculated, perform calculations and generate the correlation graphs of the different models, change the occupancy rates to a percentage and use all the values for the total calculation as if it were a single hotel, calculate the final model of energy and water consumption for establishments, and create a valid algorithm using the calculated regression models. Findings: We demonstrate the validity of the potential and polynomial models of regression used to calculate the approximate values for consumption of water, electricity and energy, valid for most of the hotels with an average occupancy rate of between 40% and 120%, which are typically the average occupancy rates for hotels in the Canary Islands during various months of the year. Through a calculated and demonstrated system of analysis, approximate simulations of consumption can be performed for hotels with the same or similar characteristics and modelling of reduced energy consumption can be performed by simulating occupancy values to test the level of reduction. Application/Improvements: The article concludes with the functions for the approximate calculations of energy consumption, electricity and water per guest, per day for hotels with similar characteristics to those in the study.

[1]  P. Bohdanowicz,et al.  Determinants and benchmarking of resource consumption in hotels : Case study of Hilton international and Scandic in Europe , 2007 .

[2]  M. Branch,et al.  ANNUAL REPORT FOR 2014 , 2014 .

[3]  Andreas N. Angelakis,et al.  Water Reuse in EU States: Necessity for Uniform Criteria to Mitigate Human and Environmental Risks , 2015 .

[5]  Víctor Martínez-Moll,et al.  Evaluation of the Energy Consumption in Mediterranean islands Hotels: Case study: the Balearic Islands Hotels , 2005 .

[6]  A. Arul Mary,et al.  Efficient Energy and Power Consumption of 3-D Chip Multiprocessor with NUCA Architecture , 2016 .

[7]  Jen Chun Wang,et al.  A study on the energy performance of hotel buildings in Taiwan , 2012 .

[8]  Maria Kolokotroni,et al.  A method for energy classification of hotels: A case-study of Greece , 2012 .

[9]  S. Rajasekaran,et al.  A Novel Method for Energy Effectiveness by Employing Adaptive Node Coverage Region , 2016 .

[10]  K. Zou,et al.  Correlation and simple linear regression. , 2003, Radiology.

[11]  M. Ramakrishnan,et al.  Distributed Clustering based Energy Efficient Routing Algorithm for Heterogeneous Wireless Sensor Networks , 2016 .

[12]  M. Guha.  The Sage Encyclopedia of Social Science Research Methods , 2005 .

[13]  Stefan Gössling,et al.  Global environmental consequences of tourism , 2002 .

[14]  K. Pearson.  On the Criterion that a Given System of Deviations from the Probable in the Case of a Correlated System of Variables is Such that it Can be Reasonably Supposed to have Arisen from Random Sampling , 1900 .

[15]  Howard Chong,et al.  Hotel Sustainability Benchmarking Tool 2015: Energy, Water, and Carbon , 2015 .

[16]  Herbert A. Sturges,et al.  The Choice of a Class Interval , 1926 .

[17]  B. Chandra,et al.  Mediating Role of Customer Satisfaction in the Mid-Market Hotels: An Empirical Analysis , 2016 .

[18]  Darja Kubečková,et al.  Airtightness of Energy Efficient Buildings , 2013 .

[19]  M. Walczak,et al.  Distribution of Legionella pneumophila in thermal pools. , 2016 .

[20]  Arun Raaza,et al.  A Novel Cluster Arrangement Energy Efficient Routing Protocol for Wireless Sensor Networks , 2016 .

[21]  Lee Siew Eang,et al.  A study on energy performance of hotel buildings in Singapore , 2009 .

[22]  C. Krishnakumar,et al.  Fuzzy Logic and Firefly Algorithm based Hybrid System for Energy Efficient Operation of Three Phase Induction Motor Drives , 2016 .