Suitability assessment of models in the industrial energy system design

Abstract This article reviews models in the scientific literature for industrial final-energy generation system design to evaluate their applicability in practice. Since energy efficiency has top priority worldwide and industry accounts for half of the world's energy consumption, it would be important to use state-of-the-art methodologies in real life applications. The contribution of the presented article to this matter is threefold. First, to facilitate the understanding of existing models', we developed a model evaluation method based on the attributes of industrial energy systems. We applied it to the reviewed scientific energy system models, providing the reader an overview of considered modelling approaches, design process steps, energy types, technological, economic and ecological aspects. Second, we conclude based on the results that current models for industrial cases are not completely suitable for wide practical implementation, among others because of the way they evaluate system operation and they do not incorporate every discussed requirement aspect. Third, this article draws up a potential modelling approach to fill these gaps, considering the missing points and omissions.

[1]  Steven B. Kraines,et al.  Optimization of an SOFC-based decentralized polygeneration system for providing energy services in an office-building in Tōkyō , 2006 .

[2]  Lazaros G. Papageorgiou,et al.  Optimal design of CHP-based microgrids: Multiobjective optimisation and life cycle assessment , 2015 .

[3]  Sunanda Sinha,et al.  Review of software tools for hybrid renewable energy systems , 2014 .

[4]  Maryse Labriet,et al.  Energy Decisions in an Uncertain Climate and Technology Outlook: How Stochastic and Robust Methodologies Can Assist Policy-Makers , 2015 .

[5]  Vladimir Danov,et al.  Project-level multi-modal energy system design - Novel approach for considering detailed component models and example case study for airports , 2017 .

[6]  Chris Marnay,et al.  Distributed Generation with Heat Recovery and Storage , 2005 .

[7]  Wanliang Wang,et al.  Bio-Inspired Optimization of Sustainable Energy Systems: A Review , 2013 .

[8]  Efstratios N. Pistikopoulos,et al.  An energy systems engineering approach to the optimal design of energy systems in commercial buildings , 2010 .

[9]  André Bardow,et al.  Automated superstructure-based synthesis and optimization of distributed energy supply systems , 2013 .

[10]  Zacharias B. Maroulis,et al.  Multi-objective optimization of a trigeneration plant , 2010 .

[11]  Sara Rainieri,et al.  Hospital CHCP system optimization assisted by TRNSYS building energy simulation tool , 2012 .

[12]  Nilay Shah,et al.  Optimisation based design of a district energy system for an eco-town in the United Kingdom , 2011 .

[13]  Fariborz Haghighat,et al.  A two-level multi-objective optimization for simultaneous design and scheduling of a district energy system , 2017 .

[14]  B. G. Raghavendra,et al.  Integrated energy optimization model for a cogeneration based energy supply system in the process industry , 1995 .

[15]  Aytaç Altan,et al.  Recognition Model for Solar Radiation Time Series based on Random Forest with Feature Selection Approach , 2019, 2019 11th International Conference on Electrical and Electronics Engineering (ELECO).

[16]  Mohd Amran Mohd Radzi,et al.  Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review , 2012 .

[17]  Philip Voll,et al.  TRusT: A Two-stage Robustness Trade-off approach for the design of decentralized energy supply systems , 2017 .

[18]  Christian Blum,et al.  Metaheuristics in combinatorial optimization: Overview and conceptual comparison , 2003, CSUR.

[19]  Armin Schnettler,et al.  Multi-objective optimization and simulation model for the design of distributed energy systems , 2016 .

[20]  Thomas A. Adams,et al.  Modeling and Simulation of Energy Systems: A Review , 2018, Processes.

[21]  Lino Guzzella,et al.  Optimal design and operation of building services using mixed-integer linear programming techniques , 2013 .

[22]  Mauro Reini,et al.  Multicriteria optimization of a distributed energy supply system for an industrial area , 2013 .

[23]  Ozan Erdinc,et al.  Optimum design of hybrid renewable energy systems: Overview of different approaches , 2012 .

[24]  Gevork B. Gharehpetian,et al.  Optimization of distributed generation capacities in buildings under uncertainty in load demand , 2013 .

[25]  Hongbo Ren,et al.  Multi-objective optimization of a distributed energy network integrated with heating interchange , 2016 .

[26]  Dennis Atabay,et al.  An open-source model for optimal design and operation of industrial energy systems , 2017 .

[27]  Alberto Traverso,et al.  Design optimisation of smart poly-generation energy districts through a model based approach , 2016 .

[28]  W. El-khattam,et al.  Optimal investment planning for distributed generation in a competitive electricity market , 2004, IEEE Transactions on Power Systems.

[29]  Davide Vassallo Optimizing Energy Efficiency: An Imperative for Improved Business Performance , 2014 .

[30]  Prashant Baredar,et al.  Optimization of hydrogen based hybrid renewable energy system using HOMER, BB-BC and GAMBIT , 2016 .

[31]  Michael C. Georgiadis,et al.  A two-stage stochastic programming model for the optimal design of distributed energy systems , 2013 .

[32]  André Bardow,et al.  Superstructure-free synthesis and optimization of distributed industrial energy supply systems , 2012 .

[33]  Christos N. Markides,et al.  A Technology Selection and Operation (TSO) optimisation model for distributed energy systems: Mathematical formulation and case study , 2016 .

[34]  G. Barakat,et al.  Modeling and optimal sizing of hybrid renewable energy system , 2008, 2008 13th International Power Electronics and Motion Control Conference.

[35]  Yajun Li,et al.  Optimal design of installation capacity and operation strategy for distributed energy system , 2017 .

[36]  E. S. Karapidakis,et al.  Hybrid Simulated Annealing–Tabu Search Method for Optimal Sizing of Autonomous Power Systems With Renewables , 2012, IEEE Transactions on Sustainable Energy.

[37]  Spyros Voutetakis,et al.  Optimum design and operation under uncertainty of power systems using renewable energy sources and hydrogen storage , 2010 .

[38]  Miao Li,et al.  Economic and environmental optimization for distributed energy resource systems coupled with district energy networks , 2016 .

[39]  Luis M. Serra,et al.  Structure optimization of energy supply systems in tertiary sector buildings , 2009 .

[40]  Enrico Sciubba,et al.  A Brief Review of Methods for the Design and Synthesis Optimization of Energy Systems , 2002 .

[41]  Ahmad Rohani,et al.  Optimum design of a hybrid Photovoltaic/Fuel Cell energy system for stand-alone applications , 2009, 2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[42]  James Scott,et al.  A review of multi-criteria decision-making methods for bioenergy systems , 2012 .

[43]  Stefano Bracco,et al.  Economic and environmental optimization model for the design and the operation of a combined heat and power distributed generation system in an urban area , 2013 .

[44]  F. Jolai,et al.  Optimal investment and unit sizing of distributed energy systems under uncertainty: A robust optimization approach , 2014 .

[45]  Gaetano Florio,et al.  A mixed integer programming model for optimal design of trigeneration in a hospital complex , 2007 .

[46]  Kankar Bhattacharya,et al.  Optimal planning and design of a renewable energy based supply system for microgrids , 2012 .

[47]  André Bardow,et al.  The optimum is not enough: A near-optimal solution paradigm for energy systems synthesis , 2015 .

[48]  Nan Li,et al.  Optimal design and operation strategy for integrated evaluation of CCHP (combined cooling heating and power) system , 2016 .

[49]  Ryohei Yokoyama,et al.  Robust optimal design of energy supply systems under uncertain energy demands based on a mixed-integer linear model , 2018 .

[50]  Eric S. Fraga,et al.  A multi-objective framework for cost-unavailability optimisation of residential distributed energy system design , 2017 .

[51]  Dhaker Abbes,et al.  Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems , 2014, Math. Comput. Simul..

[52]  Sebastian Goderbauer,et al.  The synthesis problem of decentralized energy systems is strongly NP-hard , 2019, Comput. Chem. Eng..

[53]  Juan M. Corchado,et al.  Multi-Agent Systems Applications in Energy Optimization Problems: A State-of-the-Art Review , 2018, Energies.

[54]  François Maréchal,et al.  Multi-objective, multi-period optimization of district energy systems: IV – A case study , 2015 .

[55]  Lazaros G. Papageorgiou,et al.  Optimal design and operation of distributed energy systems: Application to Greek residential sector , 2013 .

[56]  Gevork B. Gharehpetian,et al.  Robust optimization of distributed generation investment in buildings , 2012 .

[57]  Xavier Pelet,et al.  Multiobjective optimisation of integrated energy systems for remote communities considering economics and CO2 emissions , 2005 .

[58]  P. K. Katti,et al.  Alternative energy facilities based on site matching and generation unit sizing for remote area power supply , 2007 .

[59]  F. Jolai,et al.  Optimal design of distributed energy system in a neighborhood under uncertainty , 2016 .

[60]  Jr. J.P. Workman,et al.  Engineering's interactions with marketing groups in an engineering-driven organization , 1995 .

[61]  Yun Yang,et al.  Optimal design of distributed energy resource systems coupled with energy distribution networks , 2015 .

[62]  Azami Zaharim,et al.  Optimization of renewable energy hybrid system by minimizing excess capacity , 2008 .

[63]  Evan Mills,et al.  Consumer non-energy benefits as a motivation for making energy-efficiency improvements , 1996 .

[64]  Ralph Evins,et al.  A review of computational optimisation methods applied to sustainable building design , 2013 .

[65]  G. J. Rios-Moreno,et al.  Optimal sizing of renewable hybrids energy systems: A review of methodologies , 2012 .

[66]  Ernst Worrell,et al.  Productivity benefits of industrial energy efficiency measures , 2003 .

[67]  Z. Kravanja,et al.  Suitable Modeling for Process Flow Sheet Optimization Using the Correct Economic Criterion , 2011 .

[68]  Consolación Gil,et al.  Optimization methods applied to renewable and sustainable energy: A review , 2011 .

[69]  Ulf Witkowski,et al.  Model Based Design of a Renewable Energy Supply with Hybrid Energy Storage System , 2016, 2016 European Modelling Symposium (EMS).

[70]  François Maréchal,et al.  Multi-objectives, multi-period optimization of district energy systems: III. Distribution networks , 2014, Comput. Chem. Eng..

[71]  Linyun Xiong,et al.  Modelling and optimal management of distributed microgrid using multi-agent systems , 2018, Sustainable Cities and Society.

[72]  Lazaros G. Papageorgiou,et al.  A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level , 2012 .

[73]  Céline Isabelle Weber,et al.  Multi-objective design and optimization of district energy systems including polygeneration energy conversion technologies , 2008 .

[74]  Efstratios N. Pistikopoulos,et al.  A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids , 2015 .

[75]  Ahmed M. A. Haidar,et al.  Optimal configuration assessment of renewable energy in Malaysia , 2011 .

[76]  Thomas Schütz,et al.  Cost optimal sizing of smart buildings' energy system components considering changing end-consumer electricity markets , 2017 .

[77]  Joseph F. DeCarolis,et al.  A review of approaches to uncertainty assessment in energy system optimization models , 2018, Energy Strategy Reviews.

[78]  Peter M. Haugan,et al.  A review of modelling tools for energy and electricity systems with large shares of variable renewables , 2018, Renewable and Sustainable Energy Reviews.

[79]  Brian Vad Mathiesen,et al.  A review of computer tools for analysing the integration of renewable energy into various energy systems , 2010 .

[80]  André Bardow,et al.  SPREAD - Exploring the decision space in energy systems synthesis , 2017, Comput. Chem. Eng..

[81]  Edward Henry Mathews,et al.  Needs and trends in building and HVAC system design tools , 2002 .

[82]  Gurjeet Dhesi,et al.  Optimising the installation costs of renewable energy technologies in buildings: A Linear Programmin , 2011 .

[83]  Prabodh Bajpai,et al.  Hybrid renewable energy systems for power generation in stand-alone applications: A review , 2012 .

[84]  Amit Kanudia,et al.  Minimax regret strategies for greenhouse gas abatement: methodology and application , 1997, Oper. Res. Lett..

[85]  Hongwei Li,et al.  Thermal-economic optimization of a distributed multi-generation energy system¿A case study of Beijing , 2006 .

[86]  J. Kanakaraj,et al.  Optimal sizing and cost analysis of hybrid power system for a stand-alone application in Coimbatore region: a case study , 2015 .

[87]  George Mavrotas,et al.  A mathematical programming framework for energy planning in services' sector buildings under uncertainty in load demand: The case of a hospital in Athens , 2008 .

[88]  Brian Elmegaard,et al.  Comparison of linear, mixed integer and non-linear programming methods in energy system dispatch modelling , 2014 .

[89]  Sonia Yeh,et al.  Formalizing best practice for energy system optimization modelling , 2017 .

[90]  Markus Groissböck,et al.  Are open source energy system optimization tools mature enough for serious use? , 2019, Renewable and Sustainable Energy Reviews.

[91]  Saman Soheyli,et al.  Modeling and optimal resources allocation of a novel tri-distributed generation system based on sustainable energy resources , 2017 .

[92]  Tetsuya Wakui,et al.  Optimization of energy supply systems by MILP branch and bound method in consideration of hierarchical relationship between design and operation , 2015 .

[93]  Stein-Erik Fleten,et al.  Optimal Investment Strategies in Decentralized Renewable Power Generation Under Uncertainty , 2006 .

[94]  Christos N. Markides,et al.  Optimal Design and Operation of Distributed Low-Carbon Energy Technologies in Commercial Buildings , 2018 .

[95]  Alireza Maheri,et al.  Multi-objective design under uncertainties of hybrid renewable energy system using NSGA-II and chance constrained programming , 2016 .

[96]  J. Arinez,et al.  Optimization of on-site renewable energy generation for industrial sites , 2011, 2011 IEEE/PES Power Systems Conference and Exposition.

[97]  Zoltan Papp,et al.  Probabilistic reliability engineering , 1995 .

[98]  Ryozo Ooka,et al.  Application Multi-Objective Genetic Algorithm for Optimal Design Method of Distributed Energy System , 2009 .

[99]  Hongbo Ren,et al.  Integrated design and evaluation of biomass energy system taking into consideration demand side characteristics , 2010 .