Abstract

This paper presents an approach developed for selecting lighting systems in residential buildings using an Analytic Hierarchy Process (AHP) and the Multi Criteria Decision Making Technique (MCDMT). The developed approach considers four selection criteria of lighting systems: life-cycle cost, illumination, environmental performance, and life-span. The criteria of selection, along with the most widely used lighting systems in residential buildings, were determined through questionnaire surveys with suppliers, maintenance managers, and lighting experts. The Analytic Hierarchy Process and Multi Attribute Utility Theory were utilized to assess the significant influence of the identified main and sub-criteria on the selection process, from the design point of view. The developed approach was tested on a real case project in selecting the lighting system for aresidential building in Saudi Arabia. The obtained results show that the life-cycle cost and illumination proprieties, followed by the service life were found to be the most influential measures in the selection process. The results also show that Light-Emitting Diode(LED) lighting systems prove to bear the highest initial cost while sustaining the best overall performance.

Highlights

  • Introduction and Objective of the WorkLightingisoneof themost importantof allbuilding systems; it impacts the buildings occupants’visual comfort and behavior

  • The main purpose of this study is to develop an approach that assists decision makers and buildings proponents or owners in selecting the best lighting system for residential buildings based upon economic, environmental, illumination, and life span criteria

  • Analytic Hierarchy Process (AHP) and Multi Attribute Utility Theory (MAUT) are integrated into this study to evaluate the importance of the various selection criteria and different lighting alternatives

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Summary

Introduction

It has a high potential for energy efficiency and emission reduction. In Saudi Arabia, lighting represents a considerable portion of electricity consumption in residential buildings [1]. It contributes up to 50% of the total electricity consumption, and considerableCO2 emissions [1,2]. In China for example, the power consumption due tolighting is estimated to account for approximately 13% of the total [3]. Lighting fixturesarealso identified as one of the main causes of extra energy consumption [4]. Selecting an efficient lighting system design, or replacing existing one, is a crucial and a complex process for decision makers. The complexity is attributed to the consideration of multi criteria in the selection process

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