Energy performance optimization of existing buildings: A literature review

Abstract Energy retrofit and renovation of existing buildings have an effective role in reducing carbon dioxide emissions and ultimately global warming. Therefore, there is an increasing interest in this field of research. The aim of this paper is to offer a complete, precise, up-to-date literature review on energy performance optimization of existing buildings. The literature is analyzed and discussed towards decision-making model, measures and variables, objectives and criteria, software tools, optimization methods, case studies geographical locations and case studies building types. Finally, trends and future research opportunities are presented. The results of the review show that in spite of numerous conducted studies, some optimization objectives such as aspects of comfort conditions, except thermal comfort, and some types of weather conditions have been neglected. Additionally, there is a need for creating a novel decision-making tool reducing computational time of optimization and increasing reliability on the optimal packages. This article provides an extensive overview for researchers to define their outlines in this area.

[1]  Mark Gillott,et al.  The potential of semitransparent photovoltaic devices for architectural integration: The development of device performance and improvement of the indoor environmental quality and comfort through case-study application , 2011 .

[2]  Dubravka Matic,et al.  Economically feasible energy refurbishment of prefabricated building in Belgrade, Serbia , 2015 .

[3]  Sean N. Murray,et al.  Multi-variable optimization of thermal energy efficiency retrofitting of buildings using static modelling and genetic algorithms – A case study , 2014 .

[4]  J. D. Balcomb,et al.  Simple empirical method for estimating the performance of a passive solar heated building of the thermal storage wall type , 1978 .

[5]  Paul Ruyssevelt,et al.  A comparison of an energy/economic-based against an exergoeconomic-based multi-objective optimisation for low carbon building energy design , 2017 .

[7]  Edwin H.W. Chan,et al.  Sustainable Development and the Rehabilitation of a Historic Urban District – Social Sustainability in the Case of Tianzifang in Shanghai , 2012 .

[8]  Edward Morofsky,et al.  A screening methodology for implementing cost effective energy retrofit measures in Canadian office , 2011 .

[9]  J. Lansing,et al.  Evaluation of Neighborhood Quality , 1969 .

[10]  Aris Tsangrassoulis,et al.  Algorithms for optimization of building design: A review , 2014 .

[11]  Tiziano Dalla Mora,et al.  Renovation of school building: energy retrofit and seismic upgrade in a school building in Motta di Livenza. , 2018 .

[12]  Fan Zhang,et al.  A review on time series forecasting techniques for building energy consumption , 2017 .

[13]  Ulrich Filippi Oberegger,et al.  Energy retrofit and conservation of a historic building using multi-objective optimization and an analytic hierarchy process , 2017 .

[14]  Michael E. Webber,et al.  Development of a multi-objective optimization tool for selecting thermal insulation materials in sustainable designs , 2015 .

[15]  David Hedgcock,et al.  Urban social sustainability , 1993 .

[16]  Ove Mørck,et al.  Energy consumption and indoor climate in a residential building before and after comprehensive energy retrofitting , 2016 .

[17]  Anna Laura Pisello,et al.  Thermal-energy analysis of roof cool clay tiles for application in historic buildings and cities , 2015 .

[18]  Olivier Baverel,et al.  Decision aiding & multi criteria optimization for existing buildings holistic retrofit , 2012 .

[19]  A. Campos-Celador,et al.  Optimal renovation of buildings towards the nearly Zero Energy Building standard , 2018, Energy.

[20]  Juha Jokisalo,et al.  Optimization of emission reducing energy retrofits in Finnish apartment buildings , 2019, E3S Web of Conferences.

[21]  Fausto Freire,et al.  Energy retrofit of historic buildings: Environmental assessment of cost-optimal solutions , 2015 .

[22]  Xiaohua Xia,et al.  A multi-objective optimization model for energy-efficiency building envelope retrofitting plan with rooftop PV system installation and maintenance , 2017 .

[23]  Mariagrazia Dotoli,et al.  A Decision Making Technique to Optimize a Buildings’ Stock Energy Efficiency , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[24]  H. Khatib IEA World Energy Outlook 2011—A comment , 2012 .

[25]  Jin Wen,et al.  Review of building energy modeling for control and operation , 2014 .

[26]  M. Stubbs Heritage-sustainability: developing a methodology for the sustainable appraisal of the historic environment , 2004 .

[27]  Y Saheb,et al.  Modernising Building Energy Codes , 2013 .

[28]  T. Agami Reddy,et al.  Literature review on calibration of building energy simulation programs : Uses, problems, procedures, uncertainty, and tools , 2006 .

[29]  Khee Poh Lam,et al.  Coupling of whole-building energy simulation and multi-dimensional numerical optimization for minimizing the life cycle costs of office buildings , 2014 .

[30]  Alessandro Prada,et al.  Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment , 2017 .

[31]  Rasmus Lund Jensen,et al.  Early stage decision support for sustainable building renovation – A review , 2016 .

[32]  Stig-Inge Gustafsson,et al.  Factorial design for energy-system models , 1994 .

[33]  Paul Ruyssevelt,et al.  ExRET-Opt: An automated exergy/exergoeconomic simulation framework for building energy retrofit analysis and design optimisation , 2017 .

[34]  Dejan Mumovic,et al.  Implementing multi objective genetic algorithm for life cycle carbon footprint and life cycle cost minimisation: A building refurbishment case study , 2016 .

[35]  Kunhee Choi,et al.  IRIER: A Decision-Support Model for Optimal Energy Retrofit Investments , 2017 .

[36]  Jorge de Brito,et al.  Refurbishment decision support tools review—Energy and life cycle as key aspects to sustainable refurbishment projects , 2013 .

[37]  Armando C. Oliveira,et al.  A new simplified method for evaluating the thermal behaviour of direct gain passive solar buildings , 1992 .

[38]  Evangelos Grigoroudis,et al.  Decision support methodologies on the energy efficiency and energy management in buildings , 2009 .

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

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

[41]  Stig-Inge Gustafsson,et al.  Life-cycle cost minimization considering retrofits in multi-family residences , 1989 .

[42]  Basak Gucyeter,et al.  Optimization of an envelope retrofit strategy for an existing office building , 2012 .

[43]  Andrea Prota,et al.  A Multi-Step Approach to Assess the Lifecycle Economic Impact of Seismic Risk on Optimal Energy Retrofit , 2017 .

[44]  Annarita Ferrante,et al.  Deep energy renovation strategies: A real option approach for add-ons in a social housing case study , 2018 .

[45]  Ermin Wei,et al.  A Comprehensive Risk Management System on Building Energy Retrofit , 2014, 2014 Annual SRII Global Conference.

[46]  Giuseppe Martino Di Giuda,et al.  Techno-economical analysis based on a parametric computational evaluation for decision process on envelope technologies and configurations evaluation for decision process of envelope technologies and configurations , 2018 .

[47]  Masanori Shukuya,et al.  Exergy concept and its application to the built environment , 2009 .

[48]  William A. Beckman,et al.  Prediction of direct gain solar heating sytem performance , 1980 .

[49]  Mariagrazia Dotoli,et al.  Using multi-objective optimization for the integrated energy efficiency improvement of a smart city public buildings' portfolio , 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

[50]  H. Son,et al.  Evolutionary many-objective optimization for retrofit planning in public buildings: A comparative study , 2018, Journal of Cleaner Production.

[51]  Stig-Inge Gustafsson,et al.  Sensitivity analysis of building energy retrofits , 1998 .

[52]  Gerardo Maria Mauro,et al.  Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality , 2016 .

[53]  Gerardo Maria Mauro,et al.  Design of the Building Envelope: A Novel Multi-Objective Approach for the Optimization of Energy Performance and Thermal Comfort , 2015 .

[54]  Moncef Krarti,et al.  An analysis methodology for large-scale deep energy retrofits of existing building stocks: Case study of the Italian office building , 2018, Sustainable Cities and Society.

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

[56]  Rasmus Lund Jensen,et al.  Building simulations supporting decision making in early design – A review , 2016 .

[57]  Yeonsook Heo,et al.  Calibration of building energy models for retrofit analysis under uncertainty , 2012 .

[58]  Silvia Soutullo Castro,et al.  Decision matrix methodology for retrofitting techniques of existing buildings , 2019 .

[59]  Giuliano Dall'O',et al.  A methodology for the energy performance classification of residential building stock on an urban scale , 2012 .

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

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

[62]  Luis C. Dias,et al.  Multi-objective optimization for building retrofit: A model using genetic algorithm and artificial neural network and an application , 2014 .

[63]  Emile J.L. Chappin,et al.  Modelling decisions on energy-efficient renovations: A review , 2014 .

[64]  Sukreet Singh NET ZERO ENERGY RETROFIT USING CALIBRATED MODEL, OPTIMIZATION TECHNIQUES AND REGRESSION GRAPHS , 2015 .

[65]  Xiaohua Xia,et al.  Energy-efficiency building retrofit planning for green building compliance , 2018 .

[66]  Pau Fonseca i Casas,et al.  Optimization of energy renovation of residential sector in Catalonia based on comfort, energy and costs , 2015 .

[67]  Stéphane Ploix,et al.  Unmasking the causal relationships latent in the interplay between occupant’s actions and indoor ambience: A building energy management outlook , 2019, Applied Energy.

[68]  Amin Hammad,et al.  Simulation-Based Multi-Objective Optimization of institutional building renovation considering energy consumption, Life-Cycle Cost and Life-Cycle Assessment , 2019, Journal of Building Engineering.

[69]  E. Caamaño-Martín,et al.  Energy Refurbishment of an Office Building with Hybrid Photovoltaic System and Demand-Side Management , 2017 .

[70]  Åsa Wahlström,et al.  Literature review on renovation of multifamily buildings in temperate climate conditions , 2018, Energy and Buildings.

[71]  Ove Mørck,et al.  Concept Development and Technology Choices for the More-connect Pilot Energy Renovation of Three Apartment Blocks in Denmark , 2016 .

[72]  Niccolò Aste,et al.  ENERGY RETROFIT OF HISTORICAL BUILDINGS: AN ITALIAN CASE STUDY , 2012 .

[73]  Stig-Inge Gustafsson,et al.  Window retrofits: Interaction and life-cycle costing , 1991 .

[74]  Paula Femenias,et al.  Unveiling the Process of Sustainable Renovation , 2012 .

[75]  G. Bizzarri On Energy Requirements and Potential Energy Savings in Italian Hospital Buildings , 2006 .

[76]  Maurizio Sasso,et al.  Combined cooling, heating and power for small urban districts: An Italian case-study , 2014 .

[77]  Ilaria Ballarini,et al.  Transformation of an Office Building into a Nearly Zero Energy Building (nZEB): Implications for Thermal and Visual Comfort and Energy Performance , 2019, Energies.

[78]  Giuseppe Peter Vanoli,et al.  Energy refurbishment of a University building in cold Italian backcountry. Part 2: Sensitivity studies and optimization , 2019 .

[79]  Emese Banoczy,et al.  Simulation-based optimization in energy efficiency retrofit for office building , 2014, 2014 IEEE/SICE International Symposium on System Integration.

[80]  Philipp Geyer,et al.  Integrating requirement analysis and multi-objective optimization for office building energy retrofit strategies , 2014 .

[81]  Guillaume Habert,et al.  The impact of future scenarios on building refurbishment strategies towards plus energy buildings , 2016 .

[82]  Amaryllis Audenaert,et al.  Improving the energy performance of residential buildings: A literature review , 2015 .

[83]  Carola Clemente,et al.  Guidelines for the retrofit of the school building stock for sustainable urban regeneration of the city of Rome , 2012 .

[84]  Farshad Kheiri,et al.  A review on optimization methods applied in energy-efficient building geometry and envelope design , 2018, Renewable and Sustainable Energy Reviews.

[85]  Francesco Calise,et al.  A novel renewable polygeneration system for hospital buildings: design, simulation and thermo-economic optimization. , 2014 .

[86]  S. Corgnati,et al.  Use of reference buildings to assess the energy saving potentials of the residential building stock: the experience of TABULA Project , 2014 .

[87]  J. Douglas Balcomb,et al.  Passive solar heating analysis : A design manual , 1984 .

[88]  Anna Laura Pisello,et al.  On an innovative integrated technique for energy refurbishment of historical buildings: Thermal-energy, economic and environmental analysis of a case study ☆ , 2016 .

[89]  Uniben Yao Ayikoe Tettey,et al.  Final energy savings and cost-effectiveness of deep energy renovation of a multi-storey residential building , 2017 .

[90]  Luca Evangelisti,et al.  Energy Benchmarking in Educational Buildings through Cluster Analysis of Energy Retrofitting , 2018 .

[91]  Moncef Krarti,et al.  Energy productivity evaluation of large scale building energy efficiency programs for Oman , 2017 .

[92]  Sanja Stevanović,et al.  Optimization of passive solar design strategies: A review , 2013 .

[93]  Alessandro Prada,et al.  Multi-objectives optimization of Energy Efficiency Measures in existing buildings , 2015 .

[94]  Gerardo Maria Mauro,et al.  A Multi-Criteria Approach to Achieve Constrained Cost-Optimal Energy Retrofits of Buildings by Mitigating Climate Change and Urban Overheating , 2018 .

[95]  Christoph F. Reinhart,et al.  Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control , 2006 .

[96]  Manuela de Almeida,et al.  Cost effective energy and carbon emissions optimization in building renovation , 2012 .

[97]  Ismail Rahmat,et al.  The involvement of the key participants in the production of project plans and the planning performance of refurbishment projects , 2010 .

[98]  Bahram Moshfegh,et al.  Energy Renovation versus Demolition and Construction of a New Building—A Comparative Analysis of a Swedish Multi-Family Building , 2019, Energies.

[99]  Roberto Bruno,et al.  Social housing refurbishment in Mediterranean climate: Cost-optimal analysis towards the n-ZEB target , 2018, Energy and Buildings.

[100]  Taehoon Hong,et al.  An integrated multi-objective optimization model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target for residential buildings , 2015 .

[101]  F. Re Cecconi,et al.  Application of artificial neutral network and geographic information system to evaluate retrofit potential in public school buildings , 2019, Renewable and Sustainable Energy Reviews.

[102]  Amin Hammad,et al.  Developing surrogate ANN for selecting near-optimal building energy renovation methods considering energy consumption, LCC and LCA , 2019, Journal of Building Engineering.

[103]  Lisa Guan,et al.  Building energy retrofits using ant colony optimisation , 2017 .

[104]  Cristina Becchio,et al.  A COMPREHENSIVE COST-OPTIMAL APPROACH FOR ENERGY RETROFIT OF EXISTING MULTI-FAMILY BUILDINGS: APPLICATION TO APARTMENT BLOCKS IN TURKEY , 2017 .

[105]  Salvatore Mura,et al.  Optimizing the distribution of Italian building energy retrofit incentives with Linear Programming , 2016 .

[106]  Giuseppe Peter Vanoli,et al.  Energy retrofit of an educational building in the ancient center of Benevento. Feasibility study of energy savings and respect of the historical value , 2015 .

[107]  C. Tweed,et al.  Built Cultural Heritage and Sustainable Urban Development , 2007 .

[108]  Fabio Sciurpi,et al.  The Energy Upgrading of Existing Buildings: Window and Shading Device Typologies for Energy Efficiency Refurbishment , 2014 .

[109]  Paolo Maria Congedo,et al.  Efficient Solutions and Cost-Optimal Analysis for Existing School Buildings , 2016 .

[110]  Caroline M. Clevenger,et al.  Case Study for Meeting SmartRegs Requirements for Prescriptive and Performance Pathways in Boulder, Colorado , 2017 .

[111]  J. New,et al.  Evaluation of weather datasets for building energy simulation , 2012 .

[112]  Nora El-Gohary,et al.  A review of data-driven building energy consumption prediction studies , 2018 .

[113]  Marija S. Todorovic,et al.  Renewable energy sources-integrated refurbishment approach for low-rise residential prefabricated building in Belgrade, Serbia , 2016 .

[114]  Jianlei Niu,et al.  Optimal building envelope design based on simulated performance: History, current status and new potentials , 2016 .

[115]  Maria Andersson,et al.  Evaluation of energy renovation strategies for 12 historic building types using LCC optimization , 2019, Energy and Buildings.

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

[117]  D Nenad Sekularac,et al.  Re-use of historic buildings and energy refurbishment analysis via building performance simulation a case study , 2018 .

[118]  Gerardo Maria Mauro,et al.  Energy retrofit of educational buildings: Transient energy simulations, model calibration and multi-objective optimization towards nearly zero-energy performance , 2017 .

[119]  Eike Musall,et al.  Zero Energy Building A review of definitions and calculation methodologies , 2011 .

[120]  Karen Allacker,et al.  Sustainability assessment of energy saving measures: A multi-criteria approach for residential buildings retrofitting—A case study of the Spanish housing stock , 2016 .

[121]  Zhiqiang Zhai,et al.  Advances in building simulation and computational techniques: A review between 1987 and 2014 , 2016 .

[122]  Pau Fonseca i Casas,et al.  Cost-effective analysis for selecting energy efficiency measures for refurbishment of residential buildings in Catalonia , 2016 .

[123]  T. Konstantinou,et al.  Evaluating the environmental adaptability of a nearly zero energy retrofitting strategy designed for Dutch housing stock to a Mediterranean climate , 2018, Energy and Buildings.

[124]  Jlm Jan Hensen,et al.  Uncertainty analysis in building performance simulation for design support , 2011 .

[125]  Suzana Polić-Radovanović,et al.  Historic building's holistic and sustainable deep energy refurbishment via BPS, energy efficiency and renewable energy—A case study , 2015 .

[126]  Halil Zafer Alibaba,et al.  Optimizing Existing Multistory Building Designs towards Net-Zero Energy , 2017 .

[127]  Bahram Moshfegh,et al.  On the performance of LCC optimization software OPERA-MILP by comparison with building energy simulation software IDA ICE , 2018 .

[128]  Olatz Pombo,et al.  The challenge of sustainable building renovation: assessment of current criteria and future outlook , 2015 .

[129]  Sean N. Murray,et al.  Static Simulation: A sufficient modelling technique for retrofit analysis , 2012 .

[130]  Amirhosein Jafari,et al.  Selection of optimization objectives for decision-making in building energy retrofits , 2018 .

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

[132]  Enrico Fabrizio,et al.  EDeSSOpt – Energy Demand and Supply Simultaneous Optimization for cost-optimized design: Application to a multi-family building , 2019, Applied Energy.

[133]  Yiğit Yılmaz,et al.  An approach for an educational building stock energy retrofits through life-cycle cost optimization , 2018 .

[134]  Targo Kalamees,et al.  Renovation alternatives to improve energy performance of historic rural houses in the Baltic Sea region , 2014 .

[135]  Juha Jokisalo,et al.  Cost-optimal energy performance renovation measures of educational buildings in cold climate , 2016 .

[136]  Targo Kalamees,et al.  Analysis of energy economic renovation for historic wooden apartment buildings in cold climates , 2014 .

[137]  Neil Allan,et al.  Low-energy dwellings: the contribution of behaviours to actual performance , 2010 .

[138]  Enrico De Angelis,et al.  Research of Economic Sustainability of Different Energy Refurbishment Strategies for an Apartment Block Building , 2014 .

[139]  Russell Richman,et al.  A process for developing deep energy retrofit strategies for single-family housing typologies: Three Toronto case studies , 2016 .

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

[141]  Paolo Maria Congedo,et al.  Economic and Thermal Evaluation of Different Uses of an Existing Structure in a Warm Climate , 2017 .

[142]  E. Chan,et al.  Critical factors for improving social sustainability of urban renewal projects , 2007 .

[143]  Evangelos Grigoroudis,et al.  A multi-objective decision model for the improvement of energy efficiency in buildings , 2010 .

[144]  Jan Carmeliet,et al.  Multiobjective optimisation of energy systems and building envelope retrofit in a residential community , 2017 .

[145]  Carlos Henggeler Antunes,et al.  A comparison between cost optimality and return on investment for energy retrofit in buildings-A real options perspective , 2016 .

[146]  Ljubomir Jankovic,et al.  Lessons learnt from design, off-site construction and performance analysis of deep energy retrofit of residential buildings , 2019, Energy and Buildings.

[147]  Xavier Gabarrell,et al.  Integrated life cycle assessment and thermodynamic simulation of a public building’s envelope renovation: Conventional vs. Passivhaus proposal , 2018 .

[148]  Nuno Simões,et al.  Procedure to select combined heating and hot water systems: An expeditious cost optimality approach , 2019, Journal of Building Engineering.

[149]  Francesco Calise,et al.  Dynamic energy performance analysis: Case study for energy efficiency retrofits of hospital buildings , 2014 .

[150]  Gerardo Maria Mauro,et al.  A new methodology for cost-optimal analysis by means of the multi-objective optimization of building energy performance , 2015 .

[151]  Jaume Salom,et al.  Comfort and economic criteria for selecting passive measures for the energy refurbishment of residential buildings in Catalonia , 2016 .

[152]  Stig-Inge Gustafsson,et al.  Insulation and bivalent heating system optimization: Residential housing retrofits and time-of-use tariffs for electricity , 1989 .

[153]  Kari Alanne,et al.  Selection of renovation actions using multi-criteria “knapsack” model , 2004 .

[154]  Juan Moyano,et al.  Genetic algorithm-based approach for optimizing the energy rating on existing buildings , 2016 .

[155]  Luca Evangelisti,et al.  Energy Retrofit Strategies for Residential Building Envelopes: An Italian Case Study of an Early-50s Building , 2015 .

[156]  Giuseppe Peter Vanoli,et al.  Design the refurbishment of historic buildings with the cost-optimal methodology: The case study of a XV century Italian building , 2015 .

[157]  David Dernie,et al.  Optimizing Whole House Deep Energy Retrofit Packages: A Case Study of Existing Chicago-Area Homes , 2015 .

[158]  Marco António Pedrosa Santos Ferreira,et al.  Relevance of Embodied Energy and Carbon Emissions on Assessing Cost Effectiveness in Building Renovation—Contribution from the Analysis of Case Studies in Six European Countries , 2018, Buildings.

[159]  Jon Hand,et al.  CONTRASTING THE CAPABILITIES OF BUILDING ENERGY PERFORMANCE SIMULATION PROGRAMS , 2008 .

[160]  Gerardo Maria Mauro,et al.  Villas on Islands: cost-effective energy refurbishment in Mediterranean coastline houses , 2019, Energy Procedia.

[161]  Gerardo Maria Mauro,et al.  Addressing Large-Scale Energy Retrofit of a Building Stock via Representative Building Samples: Public and Private Perspectives , 2017 .

[162]  Vanessa Valentin,et al.  Proposing a Conceptual Decision Support System for Building Energy Retrofits Considering Sustainable Triple Bottom Line Criteria , 2018 .

[163]  José Ramón San Cristóbal,et al.  Multi Criteria Analysis in the Renewable Energy Industry , 2012 .

[164]  Manuel Duarte Pinheiro,et al.  The impact of building orientation and discount rates on a Portuguese reference building refurbishment decision , 2016 .

[165]  Marko G. Ignjatović,et al.  Cost-optimal energy retrofit for Serbian residential buildings connected to district heating systems , 2019, Thermal Science.

[166]  Juha Jokisalo,et al.  Energy performance and environmental impact analysis of cost-optimal renovation solutions of large panel apartment buildings in Finland , 2017 .

[167]  Giuseppina Ciulla,et al.  Energy and economic analysis and feasibility of retrofit actions in Italian residential historical buildings , 2016 .

[168]  José Sánchez Ramos,et al.  Design of the Refurbishment of Historic Buildings with a Cost-Optimal Methodology: A Case Study , 2019, Applied Sciences.

[169]  Laura Gabrielli,et al.  Evaluation of energy retrofit in buildings under conditions of uncertainty: The prominence of the discount rate , 2017 .

[170]  Giuseppe Peter Vanoli,et al.  Energy retrofit of historical buildings: theoretical and experimental investigations for the modelli , 2011 .

[171]  Edmundas Kazimieras Zavadskas,et al.  Multivariant design and multiple criteria analysis of building refurbishments , 2005 .

[172]  Gerardo Maria Mauro,et al.  Resilience of robust cost-optimal energy retrofit of buildings to global warming: A multi-stage, multi-objective approach , 2017 .

[173]  X. Oregi,et al.  Two-Stage Multi-Objective Meta-Heuristics for Environmental and Cost-Optimal Energy Refurbishment at District Level , 2019, Sustainability.

[174]  Stig-Inge Gustafsson Optimization of building retrofits in a combined heat and power network , 1992 .

[175]  Jose I. Bilbao,et al.  A review and analysis of regression and machine learning models on commercial building electricity load forecasting , 2017 .

[176]  Krushna Mahapatra,et al.  The Implications of Climate Zones on the Cost-Optimal Level and Cost-Effectiveness of Building Envelope Energy Renovation and Space Heat Demand Reduction , 2017 .

[177]  Holger Wallbaum,et al.  The importance of life-cycle based planning in maintenance and energy renovation of multifamily buildings , 2019, Sustainable Cities and Society.

[178]  Donglin Zheng,et al.  A screening methodology for building multiple energy retrofit measures package considering economic and risk aspects , 2019, Journal of Cleaner Production.

[179]  Marco António Pedrosa Santos Ferreira,et al.  Shining examples analysed within the EBC Annex 56 project , 2015 .

[180]  J. Jokisalo,et al.  Towards the EU emissions targets of 2050: optimal energy renovation measures of Finnish apartment buildings , 2019, International Journal of Sustainable Energy.

[181]  Gerardo Maria Mauro,et al.  CASA, cost-optimal analysis by multi-objective optimisation and artificial neural networks: A new framework for the robust assessment of cost-optimal energy retrofit, feasible for any building , 2017 .

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

[183]  Gail Brager,et al.  Operable windows, personal control and occupant comfort. , 2004 .

[184]  Shem Heiple,et al.  Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles , 2008 .

[185]  M. Hamdy,et al.  A multi-stage optimization method for cost-optimal and nearly-zero-energy building solutions in line with the EPBD-recast 2010 , 2013 .

[186]  Vanessa Valentin,et al.  An optimization framework for building energy retrofits decision-making , 2017 .

[187]  Moncef Krarti,et al.  Macro-economic benefit analysis of large scale building energy efficiency programs in Qatar , 2017 .

[188]  Gerardo Maria Mauro,et al.  Retrofit of villas on Mediterranean coastlines: Pareto optimization with a view to energy-efficiency and cost-effectiveness , 2019, Applied Energy.

[189]  Marija S. Todorovic,et al.  Cost-Effective Energy Refurbishment of Prefabricated Buildings in Serbia , 2017 .

[190]  Tor Broström,et al.  A Method to Assess the Potential for and Consequences of Energy Retrofits in Swedish Historic Buildings , 2014 .

[191]  Ilaria Ballarini,et al.  Refurbishment trends of the residential building stock: analysis of a regional pilot case in Italy , 2016 .

[192]  Åke Blomsterberg,et al.  Multi-active façade for Swedish multi-family homes renovation: Evaluating the potentials of passive design measures , 2017 .

[193]  António Tadeu,et al.  A sensitivity analysis of a cost optimality study on the energy retrofit of a single-family reference building in Portugal , 2018 .

[194]  Cristina Becchio,et al.  The cost-optimal methodology for the energy retrofit of an ex-industrial building located in Northern Italy , 2016 .

[195]  Laura Bellia,et al.  University building: Energy diagnosis and refurbishment design with cost-optimal approach. Discussion about the effect of numerical modelling assumptions , 2018, Journal of Building Engineering.

[196]  Moncef Krarti,et al.  Review analysis of economic and environmental benefits of improving energy efficiency for UAE building stock , 2018 .

[197]  Anna Laura Pisello,et al.  Energy Refurbishment of Historical Buildings with Public Function: Pilot Case Study , 2014 .

[198]  Omer Kaynakli,et al.  A review of the economical and optimum thermal insulation thickness for building applications , 2012 .

[199]  Ove Mørck,et al.  Energy consumption in an old residential building before and after deep energy renovation , 2015 .

[200]  Di Wang,et al.  Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design , 2015 .

[201]  William W. Braham,et al.  The feasibility and importance of considering climate change impacts in building retrofit analysis , 2019, Applied Energy.

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

[203]  Volker Coors,et al.  Combining system dynamics model, GIS and 3D visualization in sustainability assessment of urban residential development , 2012 .

[204]  Xing Shi,et al.  A review on building energy efficient design optimization rom the perspective of architects , 2016 .

[205]  Saqib Javed,et al.  Energy renovation of an office building using a holistic design approach , 2016 .

[206]  Ambrose Dodoo,et al.  Primary energy benefits of cost-effective energy renovation of a district heated multi-family building under different energy supply systems , 2018 .

[207]  Ruchi Choudhary,et al.  A bottom-up energy analysis across a diverse urban building portfolio: retrofits for the buildings at the Royal Botanic Gardens, Kew, UK , 2014 .

[208]  Giuseppe Peter Vanoli,et al.  Energy refurbishment of a University building in cold Italian backcountry. Part 1: Audit and calibration of the numerical model , 2019 .

[209]  Hyo Seon Park,et al.  Decision support model for establishing the optimal energy retrofit strategy for existing multi-family housing complexes , 2014 .

[210]  Marco António Pedrosa Santos Ferreira,et al.  Comparing cost-optimal and net-zero energy targets in building retrofit , 2016 .

[211]  Anna Laura Pisello,et al.  A Building Energy Efficiency Optimization Method by Evaluating the Effective Thermal Zones Occupancy , 2012 .

[212]  Mario Fontana,et al.  Energy retrofit of a single-family house: Life cycle net energy saving and environmental benefits , 2013 .

[213]  Gerardo Maria Mauro,et al.  Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach , 2017 .

[214]  Adolf Acquaye,et al.  Integrating economic considerations with operational and embodied emissions into a decision support system for the optimal ranking of building retrofit options , 2014 .

[215]  Bahram Moshfegh,et al.  LCC assessments and environmental impacts on the energy renovation of a multi-family building from the 1890s , 2016 .

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

[217]  Austin Whillier,et al.  Solar energy collection and its utilization for house heating , 1953 .