Elsevier

Energy and Buildings

Volume 49, June 2012, Pages 286-293
Energy and Buildings

Identifying the key factors for chiller system collaborative service design

https://doi.org/10.1016/j.enbuild.2012.02.018Get rights and content

Abstract

This paper applies the Analytical Hierarchy Process (AHP) in calculating the weights and uses Cause–Effect Grey Relational Analysis (CEGRA) to rank system performance based on multiple criteria evaluation. AHP is compared with CEGRA in ranking the alternatives, thus achieving improved environmentally friendly system performance. This paper uses the TFT-LCD chiller in Taiwan to measure the model's reliability and validity through comparison with the traditional strengths and weaknesses assessment. Businesses should cooperate with collaborative vendors and apply the service science management concept to improve performance and reduce energy waste.

Highlights

► We apply the Analytical Hierarchy Process in calculating the weights and use Cause–Effect Grey Relational Analysis to rank chiller system performance. ► We use the TFT-LCD chiller in Taiwan to measure the model's reliability and validity through comparison with the traditional strengths and weaknesses assessment. ► Businesses should cooperate with collaborative vendors and apply the service science management concept to improve performance and reduce energy waste.

Introduction

The greenhouse effect is a key factor leading to global warming [1], [2], [3]. Alternative energy sources can replace high cost energies, which is the key energy consumption factor in the flat panel display industry [4]. Chiller energy savings were accomplished in the past by creating a multitude of pipeline installations after chiller heat recovery [5]. Reducing mechanical cooling or electrical heating requirements can significant energy savings [6]. This approach can improve current energy efficiency in a limited way. Importing collaboration means that businesses and venders share a common goal in helping each other professionally, through exchanging knowledge in an integrated process model that improves value and creates more efficiency [7], [8]. Fig. 1 shows the general chiller.

According to the relevant literature of chiller system, Niu et al. [9] proposed the four different heating systems to replace the conventional heating, ventilating and air-conditioning (HVAC) systems. Shi et al. [10] proposed the CFD (Computational Fluid Dynamics) to condensing unit air management modeling on the chiller system performance. Fan et al. [11] employed heating, ventilating and air conditioning (HVAC) systems to solve the optimal chiller loading problem and decrease computational costs.

Collaborative design can design and plan chiller installation and enhance the various supply chain member's design input, improving clarity in the information exchange to speed up the process efficiency [12], [13], [14]. This study used the Analytic Hierarchy Process (AHP) to assess chiller efficiency [15], with the Cause–Effect Grey Relational Analysis (CEGRA) to determine the key impact factor [16], [17]. The AHP and CEGRA decision-making method for constructing an evaluation method provides decision-makers or administrators with a valuable reference for evaluating chiller collaborative service performance in TFT-LCD industries, thus improving applicability for both academic and commercial purposes.

Section snippets

Theoretical overview

“Energy savings and carbon reduction” are now global issues. The El Niño-Southern Oscillation (ENSO) causes extreme weather, such as floods and droughts, in many regions of the world. Developing countries are generally dependent upon agriculture and fishing, particularly those bordering the Pacific Ocean, and are the most affected by ENSO [1], [2], [3].

An air dehumidification system is an efficient way to supply fresh air [18] and reduce the carbon footprint. Fresh air with energy recovery

Analytic Hierarchy Process

AHP is a structured technique for dealing with complex decisions. As a decision making method that dissects a complex multi-criteria problem into a hierarchy [25], AHP is also a measurement theory that prioritizes the hierarchy and consistency of subjective data provided by a group of decision-makers. AHP creates a matrix framework and a local priority vector that can be derived as an estimate of the relative importance associated with the elements (or components) being compared by solving the

Case implementation

Taiwan is located in a subtropical area. It requires a large number of air conditioning facilities. The chiller is used to control the temperature and humidity in the TFT-LCD industry, especially for the clean room to maintain a constant temperature and humidity. The chiller is the heart of the chilled water system. Its efficiency has a great influence on energy consumption. The SN series chiller is the current operational specification standard in Taiwan TFT-LCD 3.5G and 5G plant. Semi

Conclusion

The main advantages of AHP are that it can effectively manage tangible and intangible or qualitative and quantitative factors. One of the features of CEGRA is that both qualitative and quantitative relationships can be identified among complex factors with insufficient information. Under such conditions, the results generated using conventional statistical techniques may not be acceptable without sufficient data to achieve the desired confidence levels. In contrast, CEGRA can be used to

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