A comprehensive evaluation of the most suitable HVAC system for an industrial building by using a hybrid building energy simulation and multi criteria decision making framework
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[1] Huiru Zhao,et al. Comprehensive assessment for battery energy storage systems based on fuzzy-MCDM considering risk preferences , 2019, Energy.
[2] Atila Novoselac,et al. Appliance daily energy use in new residential buildings: Use profiles and variation in time-of-use , 2014 .
[3] Edward Arens,et al. Indoor environmental quality assessment models: A literature review and a proposed weighting and classification scheme , 2013 .
[4] Rita Mastrullo,et al. An evaluation of R22 substitutes performances regulating continuously the compressor refrigeration capacity , 2004 .
[5] Paul Jennings,et al. Tools and techniques for understanding the fundamentals of automotive sound quality , 2010 .
[6] Wen-Chin Chen,et al. Process parameter optimization for MIMO plastic injection molding via soft computing , 2009, Expert Syst. Appl..
[7] Zenonas Turskis,et al. Integrated Fuzzy Multiple Criteria Decision Making Model for Architect Selection , 2012 .
[8] George D. Magoulas,et al. Modeling human behavior in user-adaptive systems: Recent advances using soft computing techniques , 2005, Expert Syst. Appl..
[9] Mustafa Aktaş,et al. Development and Analysis of a Multi-evaporator Cooling System with Electronic Expansion Valves , 2017 .
[10] Yijun Wang,et al. Evaluation of energy saving potential of HVAC system by operation data with uncertainties , 2019 .
[11] Javier Martínez-Gómez,et al. Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador , 2017 .
[12] Liu Yang,et al. Thermal comfort and building energy consumption implications - A review , 2014 .
[13] K. Patel,et al. Design of HVAC with VRF System for a Space House in Ahmedabad , 2015 .
[14] Samir N. Y. Gerges,et al. A sound quality-based investigation of the HVAC system noise of an automobile model , 2009 .
[15] G. Nilay Yücenur,et al. An integrated solution with SWARA&COPRAS methods in renewable energy production: City selection for biogas facility , 2020 .
[16] Zahra Sadat Zomorodian,et al. Thermal comfort in educational buildings: A review article , 2016 .
[17] Stig-Inge Gustafsson,et al. Multi-Criteria Evaluation of Residential Energy Supply Systems , 2007 .
[18] Mohammad Shakir Nasif,et al. Energy Performance and CO2 Emissions of HVAC Systems in Commercial Buildings , 2017 .
[19] P. Domanski,et al. Selecting HVAC Systems to Achieve Comfortable and Cost-effective Residential Net-Zero Energy Buildings. , 2018, Applied energy.
[20] Ugur Bac,et al. DEVELOPING NEW EVALUATION METRICS TO MEASURE AND IMPROVE SUPPLY CHAIN PERFORMANCE AND FLEXIBILITY WITH SUCCESSFUL ERP IMPLEMENTATION AND BPR APPLICATION: A HYBRID FUZZY AHP / ANP / STATISTICAL ANALYSES APPROACH, , 2013 .
[21] F. W. Yu,et al. Experimental determination of the energy efficiency of an air-cooled chiller under part load conditions , 2005 .
[22] Cihan Turhan. Development of energy-efficient personalized thermal comfort driven control in HVAC systems , 2018 .
[23] Miroslavas Pavlovskis,et al. Assessment of Buildings Redevelopment Possibilities using MCDM and BIM Techniques , 2017 .
[24] Evangelos Triantaphyllou,et al. Multi-criteria Decision Making Methods: A Comparative Study , 2000 .
[25] Paul A. Jennings,et al. Toward a Methodology for Assessing Electric Vehicle Exterior Sounds , 2014, IEEE Transactions on Intelligent Transportation Systems.
[26] Christophe Bérenguer,et al. Condition-based dynamic maintenance operations planning & grouping. Application to commercial heavy vehicles , 2011, Reliab. Eng. Syst. Saf..
[27] L. Phillips,et al. Multi-criteria analysis: a manual , 2009 .
[28] Azlan Shah Ali,et al. Preventive maintenance characteristics towards optimal maintenance performance: A case study of office buildings , 2014 .
[29] Mattia Marinelli,et al. Grey-box Modelling of a Household Refrigeration Unit Using Time Series Data in Application to Demand Side Management , 2015, ArXiv.
[30] Rubiyah Yusof,et al. Review of HVAC scheduling techniques for buildings towards energy-efficient and cost-effective operations , 2013 .
[31] Jinkyun Cho,et al. Energy-cost analysis of HVAC system for office buildings: Development of a multiple prediction methodology for HVAC system cost estimation , 2018, Energy and Buildings.
[32] Atila Novoselac,et al. The Effects of Filtration on Pressure Drop and Energy Consumption in Residential HVAC Systems (RP-1299) , 2010 .
[33] Min Yang,et al. Investigation on output capacity control strategy of variable refrigerant flow air conditioning system with multi-compressor , 2016 .
[34] Evangelos Triantaphyllou,et al. Multi-Criteria Decision Making Methods , 2000 .
[35] Guang Geng,et al. On performance and tuning of PID controllers in HVAC systems , 1993, Proceedings of IEEE International Conference on Control and Applications.
[36] Babak Daneshvar Rouyendegh,et al. SECTOR SELECTION FOR ERP IMPLEMENTATION TO ACHIEVE MOST IMPACT ON SUPPLY CHAIN PERFORMANCE BY USING AHP-TOPSIS HYBRID METHOD , 2014 .
[38] Luis Pérez-Lombard,et al. A review of HVAC systems requirements in building energy regulations , 2011 .
[39] Gwo-Hshiung Tzeng,et al. Fuzzy MCDM approach for planning and design tenders selection in public office buildings , 2004 .
[40] E. Pradeep Jaya Sudhan,et al. Synthesis of silver nanofluid by a novel one pot method for heat transfer applications , 2011 .
[41] AHP Based Decision Making Process for Zero Energy House Building , 2015 .
[42] Michael Stadler,et al. Modelling and evaluation of control schemes for enhancing load shift of electricity demand for cooling devices , 2009, Environ. Model. Softw..
[43] Sofiane Achiche,et al. Multi-criteria fuzzy decision support for conceptual evaluation in design of mechatronic systems: a quadrotor design case study , 2018 .
[44] Yulong Ding,et al. Numerical investigation into the convective heat transfer of TiO2 nanofluids flowing through a straight tube under the laminar flow conditions , 2009 .
[45] M. K. Rathod,et al. A methodological concept for phase change material selection based on multiple criteria decision analysis with and without fuzzy environment , 2011 .
[46] Victoria Jayne Mawson,et al. Thermal modelling of manufacturing processes and HVAC systems , 2020, Energy.
[47] Tolga N. Aynur,et al. Variable refrigerant flow systems: A review , 2010 .
[48] Pawel Wargocki,et al. Providing better thermal and air quality conditions in school classrooms would be cost-effective , 2013 .
[49] Xing Shi,et al. Comparative research on different air conditioning systems for residential buildings , 2017 .
[50] Mohammad. Rasul,et al. Thermal-comfort analysis and simulation for various low-energy cooling-technologies applied to an office building in a subtropical climate , 2008 .
[51] Edward Henry Mathews,et al. Investigation into capital costs of HVAC systems , 2005 .
[52] Jiangjiang Wang,et al. Fuzzy multi-criteria evaluation model of HVAC schemes in optimal combination weighting method , 2009 .
[53] Jin Si,et al. Assessment of building-integrated green technologies: A review and case study on applications of Multi-Criteria Decision Making (MCDM) method , 2016 .
[54] Alok Chaube,et al. Heat transfer and fluid flow characteristics of rib- groove roughened solar air heater ducts , 2009 .
[55] Norma de Melo Pinto,et al. Thermal Comfort in Industrial Environment: Conditions and Parameters , 2015 .
[56] Jeffrey A. Siegel,et al. Primary and secondary consequences of indoor air cleaners. , 2016, Indoor air.
[57] Binghui Si,et al. An application of Bayesian Network approach for selecting energy efficient HVAC systems , 2019, Journal of Building Engineering.
[58] Ch'en Chi-Shih,et al. Foreign Trade Statistics , 1970 .
[59] Gm. Shafiullah,et al. Modeling techniques used in building HVAC control systems: A review , 2017 .
[60] Lihua Xie,et al. Global optimization for overall HVAC systems––Part I problem formulation and analysis , 2005 .
[61] Javier Martínez-Gómez,et al. Analysis of phase change materials (PCM) for building wallboards based on the effect of environment , 2019, Journal of Building Engineering.
[62] Yong Chan Kim,et al. Simulation-based optimization of an integrated daylighting and HVAC system using the design of experiments method , 2016 .
[63] G. F. Bourassa,et al. ENERGY RETROFITTING: AN OFFICE BUILDING CASE STUDY , 1984 .
[64] Wan Ki Chow,et al. A simple two-layer zone model on mechanical exhaust in an atrium , 2005 .
[65] Douglas T. Reindl,et al. Evaporative condenser control in industrial refrigeration systems , 2001 .
[66] Mehmet Karaköse,et al. Design and simulation of self-tuning PID-type fuzzy adaptive control for an expert HVAC system , 2009, Expert Syst. Appl..
[67] İhsan Kaya,et al. Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey , 2017 .
[68] H. I. Henderson,et al. Dehumidification at Part Load , 2004 .
[69] O. Büyükalaca,et al. Experimental investigation of Seyhan River and dam lake as heat source–sink for a heat pump , 2003 .
[70] Dragisa Stanujkic,et al. An extension of the WASPAS method for decision-making problems with intuitionistic fuzzy numbers: a case of website evaluation , 2019 .
[71] B. Rudolf,et al. World Map of the Köppen-Geiger climate classification updated , 2006 .
[72] Krzysztof Grygierek,et al. OPTIMIZATION OF WINDOW SIZE DESIGN FOR DETACHED HOUSE USING TRNSYS SIMULATIONS AND GENETIC ALGORITHM , 2017 .
[73] Luc Chouinard,et al. Determination of the fuzzy measures for multicriteria and optimal design of a building façade using Choquet integrals , 2019, Journal of Building Engineering.
[74] Borong Lin,et al. Comparative study on the indoor environment quality of green office buildings in China with a long-term field measurement and investigation , 2015 .
[75] Jurgita Antucheviciene,et al. Dam construction material selection by implementing the integrated SWARA–CODAS approach with target-based attributes , 2019, Archives of Civil and Mechanical Engineering.
[76] A. Mahvi,et al. Quantitative and qualitative characteristics of condensate water of home air-conditioning system in Iran , 2015 .
[77] Young Jin Kim,et al. Decision making of HVAC system using Bayesian Markov chain Monte Carlo method , 2014 .
[78] Paz Arroyo,et al. A new method for applying choosing by advantages (CBA) multicriteria decision to a large number of design alternatives , 2018 .
[79] Enrique Kremers,et al. Emergent synchronisation properties of a refrigerator demand side management system , 2013 .
[80] Anastasios I. Stamou,et al. Verification of a CFD model for indoor airflow and heat transfer , 2006 .
[81] Majid Vafaeipour,et al. Assessment of regions priority for implementation of solar projects in Iran: New application of a hybrid multi-criteria decision making approach , 2014 .
[82] Santoso Wibowo,et al. Fuzzy Multicriteria Analysis for Performance Evaluation of Internet-of-Things-Based Supply Chains , 2018, Symmetry.
[83] Ching-Hsue Cheng,et al. Using hierarchical soft computing method to discriminate microcyte anemia , 2005, Expert Syst. Appl..
[84] Alessia Arteconi,et al. Demand side management in refrigeration applications , 2017 .
[85] Wenjian Cai,et al. Model Predictive Control Based on Fuzzy Linearizatio Technique For HVAC Systems Temperature Control , 2006, 2006 1ST IEEE Conference on Industrial Electronics and Applications.
[86] M G Apte,et al. Association of classroom ventilation with reduced illness absence: a prospective study in California elementary schools , 2013, Indoor air.
[87] Kamel Ghali,et al. Optimal control strategy for a multi-zone air conditioning system using a genetic algorithm , 2009 .
[88] Veronica Campos-Guzman,et al. Life Cycle Analysis with Multi-Criteria Decision Making: A review of approaches for the sustainability evaluation of renewable energy technologies , 2019, Renewable and Sustainable Energy Reviews.
[89] Prabina Kumar Patnaik,et al. Selection of composite materials for structural applications through MCDM approach , 2019, Materials Today: Proceedings.
[90] Ching-Ter Chang,et al. Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan , 2018, Renewable and Sustainable Energy Reviews.
[91] Sanford Klein,et al. Methodologies for optimal control of chilled water systems without storage , 1989 .
[92] T. Agami Reddy. Enhancing thermal energy efficiency of terminal reheat HVAC systems by coil-bypass , 1994 .
[93] Manish Pal,et al. Development of the location suitability index for wave energy production by ANN and MCDM techniques , 2016 .
[94] Sui Pheng Low,et al. Decision Making and Quality Function Deployment (QFD) , 2016 .
[95] Ilgin Gokasar,et al. WASPAS and TOPSIS based interval type-2 fuzzy MCDM method for a selection of a car sharing station , 2018, Sustainable Cities and Society.
[96] Iris D. Tommelein,et al. Choosing by advantages: A case study for selecting an HVAC system for a net zero energy museum , 2016 .
[97] M. Haghifam,et al. A demand response based solution for LMP management in power markets , 2011 .
[98] Leon R. Glicksman,et al. Application of integrating multi-zone model with CFD simulation to natural ventilation prediction , 2005 .
[99] Desmond Eseoghene Ighravwe,et al. A multi-criteria decision-making framework for selecting a suitable maintenance strategy for public buildings using sustainability criteria , 2019, Journal of Building Engineering.
[100] Paulo Brito,et al. Measurement and classification of energy efficiency in HVAC systems , 2016 .
[101] S. Batterman,et al. Ventilation rates in recently constructed U.S. school classrooms , 2017, Indoor air.
[102] Ioan Sarbu,et al. Aspects of indoor environmental quality assessment in buildings , 2013 .
[103] O. I. Stathopoulou,et al. Indoor air quality in a dentistry clinic. , 2007, The Science of the total environment.
[104] Jonathan Thornburg,et al. A pilot study of the influence of residential HAC duty cycle on indoor air quality , 2004 .
[105] Ricardo Nicolau Nassar Koury,et al. Numerical simulation of a variable speed refrigeration system , 2001 .
[106] Andrew Kusiak,et al. Modeling and optimization of HVAC energy consumption , 2010 .
[107] R. Shankar,et al. Prioritizing the solutions of reverse logistics implementation to mitigate its barriers: A hybrid modified SWARA and WASPAS approach , 2019 .
[108] Mehdi Shahrestani,et al. Decision making for HVAC&R system selection for a typical office building in the UK , 2012 .
[109] Luc Chouinard,et al. Design strategies using multi-criteria decision-making tools to enhance the performance of building façades , 2020 .
[110] Uğur Baç,et al. An Integrated SWARA-WASPAS Group Decision Making Framework to Evaluate Smart Card Systems for Public Transportation , 2020, Mathematics.
[111] Marianne F Touchie,et al. Residential HVAC runtime from smart thermostats: characterization, comparison, and impacts , 2018, Indoor air.
[112] Anastasios I. Dounis,et al. Comparison of Conventional and Fuzzy Control of Indoor Air Quality in Buildings , 1996, J. Intell. Fuzzy Syst..
[113] R. Becker,et al. Thermal comfort in residential buildings – Failure to predict by Standard model , 2009 .
[114] Lei Hang,et al. Enhanced Model-Based Predictive Control System Based on Fuzzy Logic for Maintaining Thermal Comfort in IoT Smart Space , 2018, Applied Sciences.
[115] Atila Novoselac,et al. Operational characteristics of residential and light-commercial air-conditioning systems in a hot an , 2011 .
[116] Carlos F. Pfeiffer,et al. Control of temperature and energy consumption in buildings - a review. , 2014 .
[117] Moncef Krarti,et al. Building shape optimization using neural network and genetic algorithm approach , 2006 .
[118] Weimin Wang,et al. Floor shape optimization for green building design , 2006, Adv. Eng. Informatics.
[119] Gülçin Büyüközkan,et al. Evaluation of Renewable Energy Resources in Turkey using an integrated MCDM approach with linguistic interval fuzzy preference relations , 2017 .
[120] Guoqing Yu,et al. Simplified model and performance analysis for top insulated metal ceiling radiant cooling panels with serpentine tube arrangement , 2018 .
[121] M. Zaheer-uddin,et al. Optimal control of time-scheduled heating, ventilating and air conditioning processes in buildings , 2000 .
[122] Marco Filippi,et al. Thermal comfort in Italian classrooms under free running conditions during mid seasons: Assessment through objective and subjective approaches , 2009 .
[123] W. Fisk. The ventilation problem in schools: literature review , 2017, Indoor air.
[124] Derek Clements-Croome,et al. Decision-making on HVAC&R systems selection: a critical review , 2018 .
[125] Gioacchino Nardin,et al. Multi-criteria analysis for the selection of space heating systems in an industrial building , 2011 .
[126] Seong-Hwan Yoon,et al. On-line parameter estimation and optimal control strategy of a double-skin system , 2011 .
[127] E. Zavadskas,et al. Optimization of Weighted Aggregated Sum Product Assessment , 2012 .
[128] Monika Sharma,et al. Location tracking using Google Geolocation API , 2015 .
[129] Wei Pan,et al. A BIM-integrated fuzzy multi-criteria decision making model for selecting low-carbon building measures , 2015 .
[130] Orhan Büyükalaca,et al. Life-cycle cost analysis for constant-air-volume and variable-air-volume air-conditioning systems , 2006 .
[131] Koji Tokimatsu,et al. Multi-criteria selection of high-performance glazing systems: A case study of an office building in New Cairo, Egypt , 2020 .
[132] Farrokh Janabi-Sharifi,et al. Theory and applications of HVAC control systems – A review of model predictive control (MPC) , 2014 .
[133] S. A. Klein,et al. Air washers: A new look at a vintage technology , 2003 .
[134] Luiz C. P. da Silva,et al. Large-scale control of domestic refrigerators for demand peak reduction in distribution systems , 2013 .
[135] Peter Lund,et al. Review of energy system flexibility measures to enable high levels of variable renewable electricity , 2015 .
[136] Gongsheng Huang,et al. Multi-zone outdoor air coordination through Wi-Fi probe-based occupancy sensing , 2018 .
[137] V. Zavala. Real-Time Optimization Strategies for Building Systems† , 2013 .
[138] Iakovos Michailidis,et al. Intelligent energy and thermal comfort management in grid-connected microgrids with heterogeneous occupancy schedule , 2015 .
[139] T.-J. Yeh,et al. Identification and control of multi-evaporator air-conditioning systems , 2007 .
[140] Edmundas Kazimieras Zavadskas,et al. Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (Swara) , 2010 .
[141] John Bagterp Jørgensen,et al. Model predictive control technologies for efficient and flexible power consumption in refrigeration systems , 2012 .
[142] J. Samet,et al. Ventilation rates and health: multidisciplinary review of the scientific literature. , 2011, Indoor air.
[143] Jerald D. Parker,et al. Heating, Ventilating, and Air Conditioning: Analysis and Design , 1977 .
[144] M.N.A. Saïd,et al. Measurement of thermal stratification in large single-cell buildings , 1996 .
[145] Seyed Hossein Sadati,et al. Control Techniques in Heating, Ventilating and Air Conditioning (HVAC) Systems , 2008 .
[146] Leslie K. Norford,et al. Shape Generation Using Pareto Genetic Algorithms: Integrating Conflicting Design Objectives in Low-Energy Architecture , 2003, CAADRIA proceedings.
[147] Maamar Bettayeb,et al. Sustainability indicators for renewable energy systems using multi-criteria decision-making model and extended SWARA/ARAS hybrid method , 2020 .
[148] J. L. Bhagoria,et al. Heat Transfer Enhancement in Packed Bed Solar Air Heater , 2011 .
[149] Agis M. Papadopoulos,et al. Application of multicriteria analysis in designing HVAC systems , 2009 .
[150] S. Bid,et al. Human risk assessment of Panchet Dam in India using TOPSIS and WASPAS Multi-Criteria Decision-Making (MCDM) methods , 2019, Heliyon.
[151] Luc Chouinard,et al. Multi-criteria decision-making methods for preliminary design of sustainable facades , 2018, Journal of Building Engineering.
[152] Weimin Wang,et al. Applying multi-objective genetic algorithms in green building design optimization , 2005 .
[153] John Ahmet Erkoyuncu,et al. A Review of Multi-criteria Decision Making Methods for Enhanced Maintenance Delivery , 2015 .
[154] William G. Eades,et al. Energy and water recovery using air-handling unit condensate from laboratory HVAC systems , 2018, Sustainable Cities and Society.
[155] J. Rezaei. Best-worst multi-criteria decision-making method: Some properties and a linear model , 2016 .
[156] Yu Wang,et al. HVAC system design under peak load prediction uncertainty using multiple-criterion decision making technique , 2015 .