Application of new optimisation model for multi-chiller system consumption

References

• Abedinia, O., M. Zareinejad, M. H. Doranehgard, G. Fathi, and N. Ghadimi. 2019. “Optimal Offering and Bidding Strategies of Renewable Energy Based Large Consumer Using a Novel Hybrid Robust-Stochastic Approach.” Journal of Cleaner Production 215: 878–889. doi: https://doi.org/10.1016/j.jclepro.2019.01.085
   Web of Science ®Google Scholar
• Ardakani, A. J., F. F. Ardakani, and S. H. Hosseinian. 2008. “A Novel Approach for Optimal Chiller Loading Using Particle Swarm Optimization.” Energy and Buildings 40 (12): 2177–2187. doi: https://doi.org/10.1016/j.enbuild.2008.06.010
   Web of Science ®Google Scholar
• Askarzadeh, A., and L. dos Santos Coelho. 2015. “Using Two Improved Particle Swarm Optimization Variants for Optimization of Daily Electrical Power Consumption in Multi-Chiller Systems.” Applied Thermal Engineering 89: 640–646. doi: https://doi.org/10.1016/j.applthermaleng.2015.06.059
   Web of Science ®Google Scholar
• Beghi, A., L. Cecchinato, G. Cosi, and M. Rampazzo. 2012. “A PSO-Based Algorithm for Optimal Multiple Chiller Systems Operation.” Applied Thermal Engineering 32: 31–40. doi: https://doi.org/10.1016/j.applthermaleng.2011.08.008
   Web of Science ®Google Scholar
• Beghi, A., L. Cecchinato, and M. Rampazzo. 2011. “A Multi-Phase Genetic Algorithm for the Efficient Management of Multi-Chiller Systems.” Energy Conversion and Management 52 (3): 1650–1661. doi: https://doi.org/10.1016/j.enconman.2010.10.028
   Web of Science ®Google Scholar
• Brooke, A., D. Kendrick, and A. Meeraus. 1990. GAMS User’s Guide. Redwood City, CA: Scientific Press. http://www.gams.com/docs/gams/GAMSUsersGuide.pdf.
   Google Scholar
• Chang, Y. C., J. K. Lin, and M. H. Chuang. 2005. “Optimal Chiller Loading by Genetic Algorithm for Reducing Energy Consumption.” Energy and Buildings 37 (2): 147–155. doi: https://doi.org/10.1016/j.enbuild.2004.06.002
   Web of Science ®Google Scholar
• Chemetova, Svetlana Roudolfovna, Paulo Santos, and Mário Ventim-Neves. 2017. “Short Term Load Forecasting in Smart Grids: Case Study of the City of Évora.” Journal of Information Systems Engineering & Management 2 (3). doi:10.20897/jisem.201718.
   Google Scholar
• Dos Santos Coelho, L., and A. Askarzadeh. 2016. “An Enhanced Bat Algorithm Approach for Reducing Electrical Power Consumption of Air Conditioning Systems Based on Differential Operator.” Applied Thermal Engineering 99: 834–840. doi: https://doi.org/10.1016/j.applthermaleng.2016.01.155
   Web of Science ®Google Scholar
• Dos Santos Coelho, L., C. E. Klein, S. L. Sabat, and V. C. Mariani. 2014. “Optimal Chiller Loading for Energy Conservation Using a New Differential Cuckoo Search Approach.” Energy 75: 237–243. doi: https://doi.org/10.1016/j.energy.2014.07.060
   Web of Science ®Google Scholar
• Dos Santos Coelho, L., and V. C. Mariani. 2013. “Improved Firefly Algorithm Approach Applied to Chiller Loading for Energy Conservation.” Energy and Buildings 59: 273–278. doi: https://doi.org/10.1016/j.enbuild.2012.11.030
   Web of Science ®Google Scholar
• Firouz, Mansour Hosseini, and Noradin Ghadimi. 2015. “Wind Energy Uncertainties in Multi-Objective Environmental/Economic Dispatch Based on Multi-Objective Evolutionary Algorithm.” UCT Journal of Research in Science, Engineering and Technology 3 (3): 8–15.
   Google Scholar
• Ghadimi, Hassan, and Homayoun Ebrahimian. 2015a. “Efficient Method to Identify Islanding Condition for Wind Turbine as Distributed Generation.” UCT Journal of Research in Science, Engineering and Technology 3 (3): 27–35.
   Google Scholar
• Ghadimi, Hassan, and Homayoun Ebrahimian. 2015b. “MLP Based Islanding Detection Using Histogram Analysis for Wind Turbine Distributed Generation.” UCT Journal of Research in Science, Engineering and Technology 3 (3): 16–26.
   Google Scholar
• Jalili, Aref, Mansour Hosseini Firouz, and Noradin Ghadimi. 2015. “Firefly Algorithm Based on Fuzzy Mechanism for Optimal Congestion Management.” UCT Journal of Research in Science, Engineering and Technology 3 (3): 1–7.
   Google Scholar
• Jurenoks, Aleksejs, Svetlana Jurenoka, and Leonids Novickis. 2017. “Practical Validation of Economic Efficiency Modelling Method for Multi-Boiler Heating System.” Journal of Information Systems Engineering & Management 2 (4). doi:10.20897/jisem.201726.
   Google Scholar
• Karami, M., and L. Wang. 2018. “Particle Swarm Optimization for Control Operation of an All-Variable Speed Water-Cooled Chiller Plant.” Applied Thermal Engineering 130: 962–978. doi: https://doi.org/10.1016/j.applthermaleng.2017.11.037
   Web of Science ®Google Scholar
• Kvet, Michal, and Karol Matiasko. 2018. “Temporal Data Performance Optimization Using Preprocessing Layer.” Journal of Information Systems Engineering & Management 3 (2). doi:10.20897/jisem.201813.
   Google Scholar
• Lo, C. C., S. H. Tsai, and B. S. Lin. 2016. “Economic Dispatch of Chiller Plant by Improved Ripple Bee Swarm Optimization Algorithm for Saving Energy.” Applied Thermal Engineering 100: 1140–1148. doi: https://doi.org/10.1016/j.applthermaleng.2016.02.114
   Web of Science ®Google Scholar
• Maleksaeedi, I., B. E. Khiav, M. B. Germi, and N. Ghadimi. 2015. “A New Two-Stage Algorithm for Solving Power Flow Tracing.” Complexity 21 (1): 187–194. doi: https://doi.org/10.1002/cplx.21555
   Web of Science ®Google Scholar
• Mirabbasi, Davar, Mohsen Parvin, and Hoseyn Javid. 2015. “A Comparison of Several Approaches to Load Frequency Control of Multi Area Hydro-Thermal System.” UCT Journal of Research in Science, Engineering and Technology 3 (4): 24–30.
   Google Scholar
• Mirzapour, F., M. Lakzaei, G. Varamini, M. Teimourian, and N. Ghadimi. 2019. “A New Prediction Model of Battery and Wind-Solar Output in Hybrid Power System.” Journal of Ambient Intelligence and Humanized Computing 10 (1): 77–87. doi: https://doi.org/10.1007/s12652-017-0600-7
   Web of Science ®Google Scholar
• Namadchian, A., M. Ramezani, and N. Razmjooy. 2016. “A New Meta-Heuristic Algorithm for Optimization Based on Variance Reduction of Guassian Distribution.” Majlesi Journal of Electrical Engineering 10 (4): 49.
   Google Scholar
• Noruzi, A., T. Banki, O. Abedinia, and N. Ghadimi. 2015. “A New Method for Probabilistic Assessments in Power Systems, Combining Monte Carlo and Stochastic-Algebraic Methods.” Complexity 21 (2): 100–110. doi: https://doi.org/10.1002/cplx.21582
   Web of Science ®Google Scholar
• Razmjooy, N., and M. Khalilpour. 2015. “A New Design for PID Controller by Considering the Operating Points Changes in Hydro-Turbine Connected to the Equivalent Network by Using Invasive Weed Optimization (IWO) Algorithm.” International Journal of Information, Security and Systems Management 4 (2): 468–475.
   Google Scholar
• Razmjooy, N., M. Khalilpour, and M. Ramezani. 2016. “A New Meta-Heuristic Optimization Algorithm Inspired by FIFA World Cup Competitions: Theory and Its Application in PID Designing for AVR System.” Journal of Control, Automation and Electrical Systems 27 (4): 419–440. doi: https://doi.org/10.1007/s40313-016-0242-6
   Web of Science ®Google Scholar
• Razmjooy, N., and M. Ramezani. 2014. “An Improved Quantum Evolutionary Algorithm Based on Invasive Weed Optimization.” Indian Journal of Scientific Research 4 (2): 413–422.
   Google Scholar
• Razmjooy, M. R. N., and M. Ramezani. 2016. “Model Order Reduction Based on Meta-Heuristic Optimization Methods.” 1st International Conference on New Research Achievements in Electrical and Computer Engineering, Iran.
   Google Scholar
• Saeedi, M., M. Moradi, M. Hosseini, A. Emamifar, and N. Ghadimi. 2019. “Robust Optimization Based Optimal Chiller Loading Under Cooling Demand Uncertainty.” Applied Thermal Engineering 148: 1081–1091. doi: https://doi.org/10.1016/j.applthermaleng.2018.11.122
   Web of Science ®Google Scholar
• Shayanfar, H. A., M. S. Naderi, O. Abedinia, and A. Ghasemi. 2011. GSA to Tune Fuzzy Controller for Damping Power System Oscillation.” Proceedings on the International Conference on Artificial Intelligence (ICAI) (p. 1). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).
   Google Scholar
• Shokri, Mahsa, and Javad Javidan. 2015. “A Novel Technique for Linearizing Digital Pre-Distortion in Power Amplifiers for OFDM Applications.” UCT Journal of Research in Science, Engineering and Technology 4 (2): 24–30.
   Google Scholar
• Tereso, Anabela, Pedro Ribeiro, and Manuel Cardoso. 2018. “An Automated Framework for the Integration Between EVM and Risk Management.” Journal of Information Systems Engineering & Management 3 (1). doi:10.20897/jisem.201803.
   Google Scholar
• The GAMS Software Website. 2018. http://www.gams.com/dd/docs/solvers/conopt.pdf.
   Google Scholar