Identifying the key factors for chiller system collaborative service design
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
References (31)
- et al.
Saving energy in the make-up air unit (MAU) for semiconductor
Energy and Buildings
(2008) - et al.
Energy savings potential of chilled-ceiling combined with desiccant cooling in hot and humid climates
Energy and Buildings
(2002) - et al.
Air management modeling of condensing units in a confined space and its impact on the chiller system performance
Energy and Buildings
(2011) - et al.
Optimal control strategies for multi-chiller system based on probability density distribution of cooling load ratio
Energy and Buildings
(2011) - et al.
Fuzzy AHP-based study of cleaner production implementation in Taiwan PWB manufacturer
Journal of Cleaner Production
(2009) - et al.
Performance analysis of a direct expansion air dehumidification system combined with membrane-based total heat recovery
Energy
(2010) - et al.
Independent air dehumidification with membrane-based total heat recovery: modeling and experimental validation
International Journal of Refrigeration
(2010) - et al.
A pre-cooling Munters environmental control desiccant cooling cycle in combination with chilled-ceiling panels
Energy
(2003) Energy performance of independent air dehumidification systems with energy recovery measures
Energy
(2006)- et al.
Thermodynamic modeling of a novel air dehumidification system
Energy and Buildings
(2005)
Indoor humidity behaviors associated with decoupled cooling in hot and humid climates
Building and Environment
A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks
Expert Systems with Applications
Analysis of benefits, opportunities, costs, and risks (BOCR) with the AHP–ANP: a critical validation
Mathematical and Computer Modelling
A fuzzy multi-criteria decision-making model for trigeneration system
Energy Policy
Impact of shifting patterns of Pacific ocean warming on north Atlantic tropical cyclones
Science
Cited by (10)
Assessment of relevance of different effects in energy infrastructure revitalization in non-residential buildings
2016, Energy and BuildingsCitation Excerpt :AHP analysis was used for identifying the key factors for the TFT–LCD chiller system collaborative service design. The authors [4] noticed the main advantage of AHP is its effectiveness in managing tangible and intangible or qualitative and quantitative factors. Their AHP result implied that the TFT–LCD chiller is preferable because it has the advantages of operating synergy and energy-saving research.
The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review
2015, Renewable and Sustainable Energy ReviewsMulti-criteria decision-making system for sustainable building assessment/certification
2015, Archives of Civil and Mechanical EngineeringCitation Excerpt :It was carried out with the help of AHP [29,30], which in concisely can be expressed as the relative values of a set of criteria. This is chosen because it is a well-known method for weighting the criteria [31–33]. Authors of this paper offer a new original Proportional judgement scale for the pair-wise comparisons and distributions of the importance between the compared criteria, according to witch significance is more or less important, by delineating them with the coefficient.
Applying analytic network process to evaluate the optimal recycling strategy in upstream of solar energy industry
2012, Energy and BuildingsCitation Excerpt :Lee [37] presented a BOCR framework for suppliers in their selection of a TFT-LCD manufacturer. Chang and Liao [38] used the BOCR and the AHP to identify the key factors in the design of chiller system collaborative service. Chen [39] applied ANP to evaluate the intelligence of facilities.
Research the Financial Networking Market Trading Behavior and Physics
2020, 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020Using Collaborative Physics Technologies to Integrate Enterprise Cloud Services
2020, 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020