Simulation and sensitivity analysis of a fuzzy-based building automation control system

Abstract

Building Automation Systems BAS are the key to\ud improve the energy performance of buildings and the occupants’\ud comfort. There is a need to build a knowledge base on the matter\ud and to grow suitable algorithms for a smart management of the\ud “intelligent buildings”. Indeed, fuzzy logic is a valuable\ud candidate for developing robust algorithms. The scope of the\ud present work is to validate a fuzzy logic approach able to\ud optimize the level of energy performance and comfort in an\ud office space, taking advantage of BAS and solar energy. In BAS,\ud dynamic elements (e.g. dynamic façade and luminaires) can\ud exploit daylight and solar gain; on the condition that wellprogrammed\ud integrated multicriteria decision making methods\ud are used. In this paper, a virtual model of a Smart Office Room\ud SOR, equipped with dynamic shading, lighting and air\ud conditioning control system, was studied and different scenarios\ud were considered: i) control versus no-control; ii) economy versus\ud comfort mode; iii) fluorescent versus LED; iv) dimming versus\ud switching. Both economy and comfort mode showed a better\ud energy performance than non-controlled scenarios. In\ud conclusion, the proposed model is a valuable tool to optimize\ud comfort features and energy demand as a whole

Intelligent Energy Management Strategy for Automated Office Buildings

“…The presence of solar irradiation or daylight has a greater impact in the assessment of building energy consumption [10]. Luigi Martirano [11] took advantage of BAS (Building Automation System) and solar energy to validate a fuzzy logic approach to optimize the level of energy performance and comfort in an office space. Based on daylight and lighting of unoccupied spaces, the lighting control plays an important role by reducing the energy wasted in unoccupied hours in the building and automatically adjusts the electrical light level according to daylight based on the façade ( [12,13]).…”

An approach to the development of an advanced solution for smart monitoring applications

“…Directive 2009/72/EC pushes Member States to deploy Smart Grids and Smart Metering systems, linking this development to the evolution of cities and confined environments in Smart environments, Smart Cities and Smart Buildings [10]. Within this framework, connections and exchange of data increase, and the need for data acquisition, processing and management become an extremely important added value to the community.…”

Knowledge engineering and management contributions for scientific research in the thermal smart energy context

“…Table 4 and In Stage S7 the same main author appears in Martirano et al (2014a) and Martirano et al (2014b) as well as Fernandes et al (2012) and Fernandes et al (2015). A summary analysis from the complete reading of these 37 papers (step S 8 (b)) can be seen in The last column is related to the Context in which the paper is proposed: Smart Buildings or Homes (SB), Smart Cities (SC) or Smart Grids (SG).…”

“…The first one works on Smart Buildings context as well as the second one. Sensors and real time information are used in Keshtkar and Arzanpour (2014) and Martirano et al (2014b) works with sensitivity analysis and it works with a "building knowledge" propose. In the fuzzy logic rules, Keshtkar and Arzanpour (2014) used a natural framework to include expert knowledge in the form of linguistic rules.…”

“…That work uses prior knowledge for its methodology and as an IT approach is used an artificial neural network algorithm. Keshtkar and Arzanpour (2014) and Martirano et al (2014b) use fuzzy logic systems as IT approach to solve heating problems. The first one works on Smart Buildings context as well as the second one.…”