A Critical Overview of Net Zero Energy Buildings and Fuzzy Cognitive Maps

A Critical Overview of Net Zero Energy Buildings and Fuzzy Cognitive Maps

Eleni S. Vergini (Department of Electrical and Computer Engineering, Laboratory of Automation and Robotics, University of Patras, Patras, Greece) and Peter P. Groumpos (Department of Electrical and Computer Engineering, Laboratory of Automation and Robotics, University of Patras, Patras, Greece)
DOI: 10.4018/IJMSTR.2015070102
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Abstract

ZEBs (zero energy buildings) and more specifically “net Zero Energy Building” (nZEB) have become a prominent wording to describe the synergy of energy efficient building and renewable energy utilization to reach a balanced energy budget over a yearly cycle. The lack of a common and accepted definition or even a good understanding of ZEB makes the approach of this problem very challenging. In this paper there is an evaluation of the criteria in the definition framework and selection of the related options. Also a methodology is approached, to set nZEB definitions in a systematic way. Today's different ZEB technologies, challenges and problems are identified and analyzed. For the first time the overall operation of nZEB and its performance is investigated and modeled using FCMs and learning algorithms. A set of low energy buildings using extensive energy and environmental data are simulated for all four seasons of a year. Interesting results are obtained, presented and discussed. Useful conclusions are drown and future research challenging topics are presented.
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2. Basics Of Energy Efficiency For Buildings

Energy efficiency and renewable energy are said to be the twin pillars of sustainable energy policy and are high priorities in the sustainable energy hierarchy. In many countries energy efficiency is also seen to have a national security benefit because it can be used to reduce the level of energy imports from foreign countries and may slow down the rate at which domestic energy resources are depleted.

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