Verification of Chiller Performance Promotion and Energy Saving

Engineering

ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.net/journal/eng
E-mail: [email protected]

Citations

"Verification of Chiller Performance Promotion and Energy Saving"
written by Yung-Chung Chang, Chao-Yuan Chen, Jyun-Ting Lu, Jin-Kwei Lee, Tian-Shuen Jan, Ching-Liang Chen,
published by Engineering, Vol.5 No.1A, 2013

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	ANALISIS KINERJA PENDINGIN SETELAH PROSES PEMBERSIHAN SECARA KIMIA DI PT AJINOMOTO MOJOKERTO
	… Jurnal Teknologi Separasi, 2023

[2]	R-134a 터보냉동기 응축기의 무세정 수처리 약품 효과 연구
	한국수소및신에너지학회논문집, 2022

[3]	A survey on data center cooling systems: Technology, power consumption modeling and control strategy optimization
	Journal of Systems …, 2021

[4]	A two-layer optimal scheduling framework for energy savings in a data center for Cyber–Physical–Social Systems
	2021

[5]	Exergy-based performance assessment and optimization potential of refrigeration plants in air-conditioning applications
	2021

[6]	Methodology for the preparation and selection of black box mathematical models for the energy simulation of screw type chillers//Metodología para la confección y …
	2020

[7]	Vapor-Compression-Chiller in District Cooling: Modelling Review
	ASHRAE Topical Conference Proceedings, 2020

[8]	EVALUATING AND OPTIMIZING UTILITY PLANT OPERATION USING TREND DATA
	2020

[9]	Review on Modeling of Vapor Compression Chillers: District Cooling Perspective
	2020

[10]	Empirical model for evaluating power consumption of centrifugal chillers
	Energy and Buildings, 2017

[11]	The Optimization of Chiller Loading by Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms
	Mathematical Problems in Engineering, 2015

[12]	The optimization of chiller loading by adaptive neuro-fuzzy inference system and
	Mathematical Problems in Engineering, 2015

[13]	Water flow rate models based on the pipe resistance and pressure difference in multiple parallel chiller systems
	Energy and Buildings, Elsevier, 2014

[1]	Analysis of Condenser Loop Flow Rates and Effect on Overall Cooling Station Power Consumption: A Case Study Journal of Architectural Engineering, 2026 DOI:10.1061/JAEIED.AEENG-2170

[2]	Real coded genetic algorithm in operational optimization of a district cooling system: An inceptive applicability assessment and power saving evaluation Building Services Engineering Research and Technology, 2024 DOI:10.1177/01436244241269242

[3]	A Study on the Effect of Non-Clean Water Treatment Chemicals for R-134a Turbo-Chiller Condensers Transactions of the Korean Hydrogen and New Energy Society, 2022 DOI:10.7316/KHNES.2022.33.4.437

[4]	A survey on data center cooling systems: Technology, power consumption modeling and control strategy optimization Journal of Systems Architecture, 2021 DOI:10.1016/j.sysarc.2021.102253

[5]	Review on Modeling of Vapor Compression Chillers: District Cooling Perspective International Journal of Air-Conditioning and Refrigeration, 2020 DOI:10.1142/S2010132520300037

[6]	Empirical model for evaluating power consumption of centrifugal chillers Energy and Buildings, 2017 DOI:10.1016/j.enbuild.2017.02.019

[7]	The Optimization of Chiller Loading by Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms Mathematical Problems in Engineering, 2015 DOI:10.1155/2015/306401

[8]	Unsaturated Soil Mechanics - from Theory to Practice 2015 DOI:10.1201/b19248-49

[9]	Water flow rate models based on the pipe resistance and pressure difference in multiple parallel chiller systems Energy and Buildings, 2014 DOI:10.1016/j.enbuild.2014.02.017

	[email protected]
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Engineering

Engineering

Journals Menu

Guidelines & Policies

Home

About SCIRP

Service

Policies