Multi-objective optimization of microclimate in museums for concurrent reduction of energy needs, visitors’ discomfort and artwork preservation risks

Abstract In museums, hygrothermal conditions must be carefully controlled by HVAC system to avoid artwork degradation. Higher energy requirements are needed for the maintenance of the suitable thermal environment. Moreover, a comfortable thermal sensation is needed for a positive museum experience. In light of current policies on energy efficiency, we propose an original procedure for the concurrent achievement of three goals: artwork preservation, energy efficiency, and human thermal comfort. This procedure is based on the application of multi-objective optimization and aims at correctly choosing temperature and relative humidity setpoints, through the use of dynamic simulations and evaluation of three indexes as objectives. This strategy can be particularly effective in museums hosted in historic buildings, where envelope and HVAC refurbishment is often forbidden or discouraged due to the architectural constraints. Furthermore, the retrofit action is almost costless. A case study is presented: first, a monitoring campaign in an Italian museum has been used for the validation of dynamic simulation models of the building-HVAC system; then, the validated models have been used to show that improvements of artwork lifetime, human thermal comfort and reduction of energy requirements of the HVAC system are possible, if currently-used hygrothermal setpoints (based on technical standards and guidelines) are replaced with those identified by the optimization problem.

[1]  Victor M. Zavala,et al.  Analyzing the effects of comfort relaxation on energy demand flexibility of buildings: A multiobjective optimization approach , 2014 .

[2]  Laura Bellia,et al.  Energy saving strategies in air-conditioning for museums , 2009 .

[3]  Singiresu S. Rao.  Engineering Optimization : Theory and Practice , 2010 .

[4]  D. Camuffo.  Measuring Rainfall and Wind-Borne Droplets , 2014 .

[5]  Elena Lucchi,et al.  Simplified assessment method for environmental and energy quality in museum buildings , 2016 .

[6]  Gail Brager,et al.  Thermal comfort in naturally ventilated buildings: revisions to ASHRAE Standard 55 , 2002 .

[7]  Rp Rick Kramer,et al.  Energy conservation in museums using different setpoint strategies: A case study for a state-of-the-art museum using building simulations , 2015 .

[8]  Farshad Kowsary,et al.  Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO) , 2016 .

[9]  Marina Khoroshiltseva,et al.  A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices , 2016 .

[10]  Francesca Romana d’Ambrosio Alfano,et al.  The museum environment: A protocol for evaluation of microclimatic conditions , 2014 .

[11]  Daniele Testi,et al.  A visitors’ presence model for a museum environment: Description and validation , 2017 .

[12]  Rp Rick Kramer,et al.  A proposed method to assess the damage risk of future climate change to museum objects in historic buildings , 2012 .

[13]  Gerasimos Pavlogeorgatos,et al.  Environmental parameters in museums , 2003 .

[14]  Luis Pérez-Lombard,et al.  The map of energy flow in HVAC systems , 2011 .

[15]  Rongyi Zhao,et al.  Relationship between thermal sensation and comfort in non-uniform and dynamic environments , 2009 .

[16]  Daniele Testi,et al.  Integrated maps of risk assessment and minimization of multiple risks for artworks in museum environments based on microclimate control , 2017 .

[17]  Marco Filippi,et al.  A methodology for microclimatic quality evaluation in museums: Application to a temporary exhibit , 2009 .

[18]  E. Rie,et al.  Photochemical and thermal degradation of films of dammar resin , 1988 .

[19]  Livio de Santoli,et al.  Guidelines on energy efficiency of cultural heritage , 2015 .

[20]  Daniele Testi,et al.  A Proposal for New Microclimate Indexes for the Evaluation of Indoor Air Quality in Museums , 2016 .

[21]  R. Dear,et al.  Thermal adaptation in the built environment: a literature review , 1998 .

[22]  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 .

[23]  Kyung-Hoon Lee,et al.  The physical environment in museums and its effects on visitors’ satisfaction , 2006 .

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

[25]  Livio Mazzarella,et al.  Energy retrofit of historic and existing buildings. The legislative and regulatory point of view , 2015 .

[26]  Fabrizio Ascione,et al.  Historical buildings: Multidisciplinary approach to structural/energy diagnosis and performance assessment☆ , 2017 .

[27]  Lorenzo Pagliano,et al.  A review of indices for the long-term evaluation of the general thermal comfort conditions in buildings , 2012 .

[28]  Ardeshir Mahdavi,et al.  Assessment of thermal comfort under transitional conditions , 2014 .

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

[30]  A. N Tombazis,et al.  DG XII programme: retrofitting of museums for antiquities in the Mediterranean countries , 2001 .

[31]  Fernando M.A. Henriques,et al.  Preventive conservation of historic buildings in temperate climates. The importance of a risk-based analysis on the decision-making process , 2015 .

[32]  F. Henriques,et al.  Microclimatic analysis of historic buildings: A new methodology for temperate climates , 2014 .

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

[34]  K. F. Fong,et al.  HVAC system optimization for energy management by evolutionary programming , 2006 .