Multi-Objective Analysis for the Optimization of a High Performance Slab-on- Ground Floor in a Warm Climate

The building sector is responsible for a large part of the overall energy demand in Europe. Energy consumption may be reduced at the design stage by selecting the proper building elements. This study develops a multi-objective analysis for a highly efficient slab-on-ground floor, whose design is optimized for a warm climate. Possible floor configurations have been obtained using the software tools modeFRONTIER, for the multi-objective analysis, and MATLAB, for the computational code. To proceed with the optimization of the different floor layers, a dataset has been developed for several materials in relation to a number of parameters: thermo-physical properties, eco-sustainability score according to the ITACA Protocol, costs, source, and structural features. Results highlight how a high surface mass is preferable when guaranteed by concrete in the innermost and outermost layers. Furthermore, insulating materials are better placed in the middle layers, with the insulating and synthetic materials adjacent to the ground and insulating and natural materials adjacent to the floor. Results emphasize the importance of thermal transmittance close to the Italian regulation limit (0.38 W/m2 K) in the climatic zone C, to allow an adequate exchange with the ground in summer, avoiding overheating. The outcomes show that the obtained slab-on-ground floor configurations favor the use of local, recyclable, sustainable, and eco-friendly materials, which is in line with energy policies and sustainability protocols. The paper supports the decision making process that takes many variables into account at the building design stage.

[1]  Eduardo Peris Mora,et al.  Life cycle, sustainability and the transcendent quality of building materials , 2007 .

[2]  Delia D׳Agostino,et al.  Assessment of the progress towards the establishment of definitions of Nearly Zero Energy Buildings (nZEBs) in European Member States , 2015 .

[3]  Robert H. Crawford,et al.  A framework for the integrated optimisation of the life cycle greenhouse gas emissions and cost of buildings , 2018, Energy and Buildings.

[4]  Andrew R.J. Dainty,et al.  Establishing and weighting decision criteria for building system selection in housing construction , 2012 .

[5]  Elisa Franzoni,et al.  Materials selection for green buildings: which tools for engineers and architects? , 2011 .

[6]  Rebeka Lukman,et al.  Review of sustainability terms and their definitions , 2007 .

[7]  Paolo Maria Congedo,et al.  Numerical dataset of slab-on-ground floor for buildings in warm climate from a multi-criteria analysis , 2018, Data in brief.

[8]  M. Krarti,et al.  Heat transfer for slab-on-grade floor with stepped ground , 1998 .

[9]  Jyrki Wallenius,et al.  An Early History of Multiple Criteria Decision Making: AN EARLY HISTORY OF MULTIPLE CRITERIA DECISION MAKING , 2013 .

[10]  J. Rantala,et al.  Thermal and moisture parameters of a dry coarse-grained fill or drainage layer , 2007 .

[11]  Andrés L. Medaglia,et al.  Optimization model for the selection of materials using a LEED-based green building rating system in Colombia , 2009 .

[12]  Rahman Azari,et al.  Embodied energy of buildings: A review of data, methods, challenges, and research trends , 2018, Energy and Buildings.

[13]  Paolo Maria Congedo,et al.  CFD modeling and moisture dynamics implications of ventilation scenarios in historical buildings , 2014 .

[14]  Barbara J. Lence,et al.  Assessing the performance of sustainable technologies: a framework and its application , 2007 .

[15]  P. Bertoldi,et al.  Data on European non-residential buildings , 2017, Data in brief.

[16]  Paolo Maria Congedo,et al.  Envelope Design Optimization by Thermal Modelling of a Building in a Warm Climate , 2017 .

[17]  Domenico Laforgia,et al.  Multi-objective optimization analysis for high efficiency external walls of zero energy buildings (ZEB) in the Mediterranean climate , 2014 .

[18]  Xiaoming Wang,et al.  Assessment of climate change impact on residential building heating and cooling energy requirement in Australia , 2010 .

[19]  Jiangjiang Wang,et al.  Review on multi-criteria decision analysis aid in sustainable energy decision-making , 2009 .

[20]  Saqaff A. Alkaff,et al.  A review of underground building towards thermal energy efficiency and sustainable development , 2016 .

[21]  Enedir Ghisi,et al.  Decision-making process for improving thermal and energy performance of residential buildings: A case study of constructive systems in Brazil , 2016 .

[22]  Morten Elle,et al.  Environmental indicators: establishing a common language for green building , 2006 .

[23]  Ravi Prakash,et al.  Life cycle energy analysis of buildings: An overview , 2010 .

[24]  Jyrki Wallenius,et al.  An early history of multiple criteria decision making , 2016 .

[25]  Luca Castellazzi,et al.  Towards Nearly Zero Energy Buildings in Europe: A Focus on Retrofit in Non-Residential Buildings , 2017 .

[26]  Luis Fabián Fuentes-Cortés,et al.  Integration of distributed generation technologies on sustainable buildings , 2018 .

[27]  Lennart Y. Ljungberg,et al.  Materials selection and design for development of sustainable products , 2007 .

[28]  Paolo Principi,et al.  The Contribution of the ITACA Protocol in the Control of the Environmental Quality in Residential Buildings and the Subsequent Contribution to the Adaptation to Climatic Change , 2015 .

[29]  Steve Goodhew,et al.  A Decision Making System for Selecting Sustainable Technologies for Retail Buildings , 2013 .

[30]  Luigi Marletta,et al.  Cost-effective design solutions for low-rise residential Net ZEBs in Mediterranean climate , 2014 .

[31]  Paolo Maria Congedo,et al.  Assessment of cost-optimality and technical solutions in high performance multi-residential buildings in the Mediterranean area , 2015 .

[32]  Alexandre Szklo,et al.  Optimization model for evaluating on-site renewable technologies with storage in zero/nearly zero energy buildings , 2018, Energy and Buildings.

[33]  D. Parker,et al.  Data on cost-optimal Nearly Zero Energy Buildings (NZEBs) across Europe , 2018, Data in brief.

[34]  Delia D’Agostino,et al.  Energy consumption and efficiency technology measures in European non-residential buildings , 2017 .

[35]  L. D. Danny Harvey,et al.  Net climatic impact of solid foam insulation produced with halocarbon and non-halocarbon blowing agents , 2007 .

[36]  Shady Attia,et al.  Strategic Decision Making For Zero Energy Buildings in Hot Climates , 2010 .

[37]  Delia D’Agostino,et al.  Criteria and structure of a harmonised data collection for NZEBs retrofit buildings in Europe , 2017 .

[38]  Anne Grete Hestnes,et al.  Energy use in the life cycle of conventional and low-energy buildings: A review article , 2007 .

[39]  Popi Konidari,et al.  A multi-criteria evaluation method for climate change mitigation policy instruments , 2007 .

[40]  Amar Bennadji,et al.  A multi-criteria group decision-making method for the thermal renovation of masonry buildings: The case of Algeria , 2016 .

[41]  Pascal Henry Biwole,et al.  Multi-Objective Optimization Methodology for Net Zero Energy Buildings , 2018 .

[42]  F. Calvino,et al.  Comparing different control strategies for indoor thermal comfort aimed at the evaluation of the energy cost of quality of building , 2010 .

[43]  Agis M. Papadopoulos,et al.  State of the art in thermal insulation materials and aims for future developments , 2005 .

[44]  Sean Armstrong,et al.  A Cost-Optimal Assessment of Buildings in Ireland Using Directive 2010/31/EU of the Energy Performance of Buildings Recast , 2014 .

[45]  Paolo Maria Congedo,et al.  Multi-criteria optimization analysis of external walls according to ITACA protocol for zero energy buildings in the mediterranean climate , 2014 .

[46]  Jonathan A. Wright,et al.  Optimization of building thermal design and control by multi-criterion genetic algorithm , 2002 .

[47]  Rouzbeh Shad,et al.  Developing an Iranian green building assessment tool using decision making methods and geographical information system: Case study in Mashhad city , 2017 .

[48]  Hassam ur Rehman.  Experimental performance evaluation of solid concrete and dry insulation materials for passive buildings in hot and humid climatic conditions , 2017 .

[49]  Paolo Maria Congedo,et al.  Cost-optimal design for nearly zero energy office buildings located in warm climates , 2015 .

[50]  Ignacio Zabalza Bribián,et al.  Life cycle assessment of building materials: Comparative analysis of energy and environmental impacts and evaluation of the eco-efficiency improvement potential , 2011 .

[51]  Edmundas Kazimieras Zavadskas,et al.  Multi-criteria decision-making system for sustainable building assessment/certification , 2015 .

[52]  Paolo Maria Congedo,et al.  Energy retrofit and environmental sustainability improvement of a historical farmhouse in Southern Italy , 2017 .

[53]  R. Suárez,et al.  Impact of Climate Change: Environmental Assessment of Passive Solutions in a Single-Family Home in Southern Spain , 2018, Sustainability.

[54]  Xiao-Bing Hu,et al.  Multi-objective optimization of material selection for sustainable products: Artificial neural networks and genetic algorithm approach , 2009 .

[55]  Hicham Mastouri,et al.  Thermal performance assessment of passive techniques integrated into a residential building in semi-arid climate , 2017 .

[56]  Danny S. Parker,et al.  A framework for the cost-optimal design of nearly zero energy buildings (NZEBs) in representative climates across Europe , 2018 .