Multi-objective Optimisation and Building Retrofit Planning

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

[2]  M. Ramachandran,et al.  Application of multi-criteria decision making to sustainable energy planning--A review , 2004 .

[3]  Jean-Louis Scartezzini,et al.  Passive design optimization of newly-built residential buildings in Shanghai for improving indoor thermal comfort while reducing building energy demand , 2017, Energy and Buildings.

[4]  Gerardo Maria Mauro,et al.  Simulation-based model predictive control by the multi-objective optimization of building energy performance and thermal comfort , 2016 .

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

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

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

[8]  Paul Raftery,et al.  Key factors methodology—A novel support to the decision making process of the building energy manager in defining optimal operation strategies , 2012 .

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

[10]  Claude-Alain Roulet,et al.  Elaboration of retrofit scenarios , 2002 .

[11]  Hongbo Ren,et al.  Multi-criteria evaluation for the optimal adoption of distributed residential energy systems in Japan , 2009 .

[12]  Luis C. Dias,et al.  A multi-objective optimization model for building retrofit strategies using TRNSYS simulations, GenOpt and MATLAB , 2012 .

[13]  Luis C. Dias,et al.  State of the Art on Retrofit Strategies Selection Using Multi-objective Optimization and Genetic Algorithms , 2013 .

[14]  Facundo Bre,et al.  A computational multi-objective optimization method to improve energy efficiency and thermal comfort in dwellings , 2017 .

[15]  John S. Gero,et al.  Energy in context: A multicriteria model for building design , 1983 .

[16]  Heng Li,et al.  Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems , 2008 .

[17]  Gerardo Maria Mauro,et al.  A new comprehensive framework for the multi-objective optimization of building energy design: Harlequin , 2019, Applied Energy.

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

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

[20]  Jing Hou,et al.  Comparative study of commercial building energy-efficiency retrofit policies in four pilot cities in China , 2016 .

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

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

[23]  John Palmer,et al.  Energy performance indoor environmental quality retrofit — a European diagnosis and decision making method for building refurbishment , 2000 .

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

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

[26]  Mari Martiskainen,et al.  Policy packaging or policy patching? The development of complex energy efficiency policy mixes , 2017 .

[27]  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 .

[28]  Francesco Causone,et al.  Multi-objective optimization of a nearly zero-energy building based on thermal and visual discomfort minimization using a non-dominated sorting genetic algorithm (NSGA-II) , 2015 .