An approach to design a distributed knowledge-based platform for energy efficient cities

Pavel Vitliemov,Milko Marinov,Daniel Bratanov,I Shahrour,H Bian,X.-Y Xie

doi:10.1051/matecconf/201929501002

Pavel Vitliemov, Milko Marinov + Show 4 more

Open Access

https://doi.org/10.1051/matecconf/201929501002

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Abstract

In this paper is presented an approach to design distributed knowledge-based software environment for energy efficient cities. All data gathered by the smart tools at domestic or public facilities can be accessed by the platform. Energy savings can be achieved as result from an optimized mix of both condition-based and preventive energy losses services that followed an online analysis of collected data. Algorithms and methods for an intelligent interpretation of the collected data can be developed within the platform in order to monitor the energy consumption process. Simulation of different scenarios forecasting the consumer’s further behaviour in energy consumption will be the result of that intelligent interpretation.

Highlights

The Energy Efficiency Directive 2012/27/EU from 2012 to set a 20% energy savings target by 2020 is almost equivalent to close 400 power stations. [1,2]In December 2018, the revised Energy Efficiency Directive entered into force (amending Directive EU (2018/2002) updating some specific provisions and introducing some new elements
Central to achieving energy conservation will be behaviour change in households, shifting towards more efficient domestic energy management [9]. This has been evidenced in a range of research on energy conservation [6,8]
Methods and technologies can be implemented if “smart tools”, that represent public and resident infrastructures equipped with up-to-date sensor technology will deliver real-time data from the energy consumption process and the energy manager will be introduced to the energy consumption and be aware of the actual condition

Summary

Introduction

The Energy Efficiency Directive 2012/27/EU from 2012 to set a 20% energy savings target by 2020 (when compared to the projected use of energy in 2020) is almost equivalent to close 400 power stations. [1,2]. It can be stated that a key barrier to household action on climate change is the sense that individuals cannot make a meaningful contribution to it, because is currently very difficult to measure the impact of an individual household, that make the sense that the issues are so large and is hard to personalize the impact an individual can have [10] This makes the perspective for policy around Personal Carbon Allowances and emissions trading for households crucial from European Governments’ perspective. The main objective of presented approach within the paper is to contribute to above challenges with developing suitable tools to enable municipalities to improve their local and global performance at energy efficiency All these techiques, methods and technologies can be implemented if “smart tools”, that represent public and resident infrastructures equipped with up-to-date sensor technology will deliver real-time data from the energy consumption process and the energy manager will be introduced to the energy consumption and be aware of the actual condition. Based on forecasts, errors or energy loses can be interpreted in real time by the energy manager, or energy consumer, minimizing the time to respond and the correction time, according to the appropriate energy consumption level based on the equal environmental conditions

Concept of proposed software platform architecture

Conclusions