Jury's Inn Glasgow

USER MANUAL

Contents >



Energy and Resource Analysis Tool Contents

 

The Tool Contents acts as the starting point for each user. It provides the user with an overview of the Tool and how the tool is constructed. The three areas marked in red are the main areas of the tool:

  1. Regression and CUSUM Analysis
  2. Detailed Benchmarking
  3. Building Integrated Renewables

Regression and CUSUM Analysis allows the user to firstly carry out a regression analysis on Energy (Gas and Electricity) and Resource (Water) consumption data. By carrying out a regression, indepedent variables can be matched against consumption data to find a regression equation that will predict consumption over the regressed period. By matching the predicted consumption with the actual consumption over the period the resultant CUSUM can be established and plotted over the period of analysis. The CUSUM is a method of analysing past and present building performance. Resulting from the CUSUM is a pattern that in some cases, sections of the plot can be regressed again to predict consumption for the future period, and changes made within the hotel can be quantified using a simple calculation.

Detailed Benchmarking is a method of analysing annual consumption data against UK benchmarks provided by the Carbon Trust. By providing data for a number of hotels; either in the same chain of hotels or within the same city or region, the results can illustrate the current performance against other hotels. By taking into account climatic data and normalising the data using Normalised Performance Indicators (NPI's) a true comparison can be made. Further Benchmarking Analysis is provided by taking in account sleepers sold and rooms sold, and comparisons are made against the average of all the data entered.

Building Integrated Renewables is the final section of the tool. it will provide the user with the feasibility of installing two renewable technologies; wind turbines and a rain water harvesting system. By selecting either of the renewables; climatic data and hotel data can be entered resulting in a feasibility analysis and a financial assesment of the individual project.