ExRET-Opt: An automated exergy/exergoeconomic simulation framework for building energy retrofit analysis and design optimisation

Energy simulation tools have a major role in the assessment of building energy retrofit (BER) measures. Exergoeconomic analysis and optimisation is a common practice in sectors such as the power generation and chemical processes, aiding engineers to obtain more energy-efficient and cost-effective energy systems designs. ExRET-Opt, a retrofit-oriented modular-based dynamic simulation framework has been developed by embedding a comprehensive exergy/exergoeconomic calculation method into a typical open-source building energy simulation tool (EnergyPlus). The aim of this paper is to show the decomposition of ExRET-Opt by presenting modules, submodules and subroutines used for the framework’s development as well as verify the outputs with existing research data. In addition, the possibility to perform multi-objective optimisation analysis based on genetic-algorithms combined with multi-criteria decision making methods was included within the simulation framework. This addition could potentiate BER design teams to perform quick exergy/exergoeconomic optimisation, in order to find opportunities for thermodynamic improvements along the building’s active and passive energy systems. The enhanced simulation framework is tested using a primary school building as a case study. Results demonstrate that the proposed simulation framework provide users with thermodynamic efficient and cost-effective designs, even under tight thermodynamic and economic constraints, suggesting its use in everyday BER practice.

[1]  Martin Streich Opportunities and limits for exergy analysis in cryogenics , 1996 .

[2]  Göran Wall,et al.  Exergy - a useful concept within resource accounting , 1977 .

[3]  Ruchi Choudhary,et al.  Optimum building energy retrofits under technical and economic uncertainty , 2013 .

[4]  Geoffrey P. Hammond,et al.  Exergy analysis of the United Kingdom energy system , 2001 .

[5]  Marc A. Rosen,et al.  Thermoeconomic optimization using an evolutionary algorithm of a trigeneration system driven by a solid oxide fuel cell , 2015 .

[6]  Anand Sivasubramaniam,et al.  Automatic generation of energy conservation measures in buildings using genetic algorithms , 2011 .

[7]  Richard Schechner,et al.  On Environmental Design. , 1971 .

[8]  R. Tozer,et al.  Thermoeconomic life-cycle costs of absorption chillers , 1997 .

[9]  Jan Hensen,et al.  A new methodology for investigating the cost-optimality of energy retrofitting a building category , 2015 .

[10]  Paul Ruyssevelt,et al.  An exergy-based multi-objective optimisation model for energy retrofit strategies in non-domestic buildings , 2016 .

[11]  Marc A. Rosen,et al.  Using Exergy to Understand and Improve the Efficiency of Electrical Power Technologies , 2009, Entropy.

[12]  Salvatore Carlucci,et al.  Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design , 2013 .

[13]  Noam Lior,et al.  Thoughts about future power generation systems and the role of exergy analysis in their development , 2002 .

[14]  Zaoxiao Zhang,et al.  Simultaneous optimization of integrated heat, mass and pressure exchange network using exergoeconomic method , 2014 .

[15]  Olcay Kincay,et al.  Exergoenvironmental and exergoeconomic analyses of a vertical type ground source heat pump integrated wall cooling system , 2016 .

[16]  Niraj K. Jha,et al.  ROBESim: A retrofit-oriented building energy simulator based on EnergyPlus , 2013 .

[17]  Yiping Dai,et al.  Exergoeconomic analysis of utilizing the transcritical CO2 cycle and the ORC for a recompression supercritical CO2 cycle waste heat recovery: A comparative study , 2016 .

[18]  George Tsatsaronis,et al.  Thermodynamics and the Destruction of Resources: Exergoeconomics and Exergoenvironmental Analysis , 2011 .

[19]  Mikhail Sorin,et al.  Retrofit of low-temperature heat recovery industrial systems using multiobjective exergoeconomic optimization , 2016 .

[20]  Andrea Lazzaretto,et al.  SPECO: A systematic and general methodology for calculating efficiencies and costs in thermal systems , 2006 .

[21]  David Fisk Optimising heating system structure using exergy Branch and Bound , 2014 .

[22]  Ibrahim Dincer,et al.  Thermoeconomic analysis of a building energy system integrated with energy storage options , 2013 .

[23]  Clayton Miller,et al.  AUTOMATION OF COMMON BUILDING ENERGY SIMULATION WORKFLOWS USING PYTHON , 2013 .

[24]  G. Solaini,et al.  Dynamic exergy analysis of an air source heat pump , 2009 .

[25]  Philippe Rigo,et al.  A review on simulation-based optimization methods applied to building performance analysis , 2014 .

[26]  Evangelos Grigoroudis,et al.  Towards a multi-objective optimization approach for improving energy efficiency in buildings , 2008 .

[27]  Paul Ruyssevelt,et al.  An exergoeconomic-based parametric study to examine the effects of active and passive energy retrofit strategies for buildings , 2016 .

[28]  George Tsatsaronis,et al.  ON AVOIDABLE AND UNAVOIDABLE EXERGY DESTRUCTIONS AND INVESTMENT COSTS IN THERMAL SYSTEMS , 2002 .

[29]  Dusan P. Sekulic,et al.  Thermodynamics and the Destruction of Resources , 2014 .

[30]  Olivier Baudouin,et al.  General methodology for exergy balance in ProSimPlus® process simulator , 2012 .

[31]  Tyler E. Williams Energy Efficiency in Buildings and Industry , 1984 .

[32]  George Tsatsaronis,et al.  Thermoeconomic analysis and optimization of energy systems , 1993 .

[33]  Standard Ashrae Thermal Environmental Conditions for Human Occupancy , 1992 .

[34]  Paul Cooper,et al.  Existing building retrofits: Methodology and state-of-the-art , 2012 .

[35]  Randy L. Haupt,et al.  Practical Genetic Algorithms , 1998 .

[36]  Herena Torío Comparison and optimization of building energy supply systems through exergy analysis and its perspectives , 2012 .

[37]  Luis C. Dias,et al.  Multi-objective optimization for building retrofit strategies: A model and an application , 2012 .

[38]  Akshay Gupta,et al.  Life cycle cost and carbon footprint of energy efficient refurbishments to 20th century UK school buildings , 2014 .

[39]  Ibrahim Dincer,et al.  Thermodynamic modeling and multi-objective evolutionary-based optimization of a new multigeneration energy system , 2013 .

[40]  R. Tozer,et al.  Thermoeconomics applied to an air conditioning system with cogeneration , 1996 .

[41]  Mohamed A. El-Haram,et al.  Assessing the sustainability of the UK society using thermodynamic concepts: Part 2 , 2009 .

[42]  Brent R. Young,et al.  An exergy calculator tool for process simulation , 2006 .

[43]  V. I. Hanby,et al.  UK office buildings archetypal model as methodological approach in development of regression models for predicting building energy consumption from heating and cooling demands , 2013 .

[44]  Antonio Rovira,et al.  Thermoeconomic optimization of combined cycle gas turbine power plants using genetic algorithms , 2003 .

[45]  Antonio G. Ramos,et al.  Novel application for exergy and thermoeconomic analysis of processes simulated with Aspen Plus , 2011 .

[46]  Aynur Ucar,et al.  Thermoeconomic analysis method for optimization of insulation thickness for the four different climatic regions of Turkey , 2010 .

[47]  M. Järvinen,et al.  Exergoeconomic assessment of CHP-integrated biomass upgrading , 2015 .

[48]  A. H. Mosaffa,et al.  Exergoeconomic and environmental analyses of an air conditioning system using thermal energy storage , 2016 .

[49]  Arno Schlueter,et al.  Building information model based energy/exergy performance assessment in early design stages , 2009 .

[50]  Ibrahim Dincer,et al.  Energy and exergy analyses of an integrated solar heat pump system , 2014 .

[51]  E. Sciubba,et al.  Advances in exergy analysis: a novel assessment of the Extended Exergy Accounting method , 2014 .

[52]  Sang Hoon Lee,et al.  Commercial Building Energy Saver: An energy retrofit analysis toolkit , 2015 .

[53]  Ibrahim Dincer,et al.  Sustainable Energy Systems and Applications , 2011 .

[54]  Pan Zhao,et al.  Thermo-economic analysis and optimization of a combined cooling and power (CCP) system for engine waste heat recovery , 2016 .

[55]  Toshihiko Nakata,et al.  A comparative exergy and exergoeconomic analysis of a residential heat supply system paradigm of Japan and local source based district heating system using SPECO (specific exergy cost) method , 2014 .

[56]  Hoseyn Sayyaadi,et al.  Real-time exergoeconomic optimization of a steam power plant using a soft computing-fuzzy inference system , 2016 .

[57]  Xiaohua Xia,et al.  A multiple objective optimisation model for building energy efficiency investment decision , 2013 .

[58]  P. G. Luscuere,et al.  An exergy application for analysis of buildings and HVAC systems , 2010 .

[59]  Mofid Gorji-Bandpy,et al.  Exergoeconomic optimization of gas turbine power plants operating parameters using genetic algorithms: A case study , 2011 .

[60]  I. Dincer,et al.  Exergoeconomic optimization of a new four-step magnesium–chlorine cycle , 2017 .

[61]  Arif Hepbasli,et al.  Exergoeconomic and enviroeconomic analyses of a building heating system using SPECO and Lowex methods , 2014 .