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

Abstract Great demand for energy and growing trend in the use of energy-efficient HVAC systems force researchers to focus on the importance of choosing the most appropriate HVAC system for industrial buildings during design process. Therefore, developing a model to select the most suitable HVAC system is vital for industrial buildings. To this aim, this study provides a comprehensive evaluation of different HVAC systems for an industrial building by using hybrid multi criteria decision making (MCDM) method. An industrial building in Ankara/Turkey is selected as a case building. Eleven HVAC systems are evaluated based on twenty seven criteria, which are determined as a result of extensive literature research, and are grouped under six categories including ergonomic, environmental, reliability, technical, and economical aspects. A hybrid application of building energy simulation (BES) integrated modified Stepwise Weight Assessment Ratio Analysis (SWARA) and Weighted Additive Sum Product Assessment (WASPAS) framework is developed for supporting the decision making process. The novelty of the study is integrating the objective results of a well-calibrated dynamic BES tool with subjective criteria which are collected from expert opinions by applying questionnaires with face-to-face interview method. The results of MCDM framework and sensitivity analysis showed that the water-source heat pump is the best and suitable alternative for the industrial building. The outcome of this study would benefit the HVAC engineers and specialists in order to design the best HVAC systems in industrial buildings while providing an insight into different criteria. Moreover, key contribution to the literature is the usage of hybrid MCDM framework integrated with BES tool in the building sector.

[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 .