Optimization of Municipal Energy Systems with the Use of an Intelligent Analytical System
The paper presents the analytical and consultancy system which aims at a complex, comprehensive, multi-criteria energy performance analysis of a given building or a group of buildings and at making a recommendation for an energy source with regard to CO2 emission and investment costs determined on t...
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Online Access: | https://doi.org/10.2478/ceer-2018-0041 |
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doaj-29505637e1a74682b1475527bf9439092021-09-06T19:22:02ZengSciendoCivil and Environmental Engineering Reports2080-51872450-85942018-09-0128313214410.2478/ceer-2018-0041ceer-2018-0041Optimization of Municipal Energy Systems with the Use of an Intelligent Analytical SystemZiembicki Piotr0Klimczak Marcin1Bernasiński Jan2University of Zielona Góra, Faculty of Civil Engineering, Architecture and Environmental EngineeringWrocław University of Science and Technology, Faculty of Environmental EngineeringUniversity of Zielona Góra, Faculty of Civil Engineering, Architecture and Environmental EngineeringThe paper presents the analytical and consultancy system which aims at a complex, comprehensive, multi-criteria energy performance analysis of a given building or a group of buildings and at making a recommendation for an energy source with regard to CO2 emission and investment costs determined on the basis of indicators included in the knowledge databases. The analytical and consultancy system employs advanced energy performance computer simulations of buildings as well as innovative analytical algorithms worked out and contributed by the authors, including those based on the knowledge base developed on the grounds of performance data from selected buildings of various types situated in a dozen or so cities of different population in Poland.https://doi.org/10.2478/ceer-2018-0041energy systemssimulationoptimizationanalytical systemssmart city |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ziembicki Piotr Klimczak Marcin Bernasiński Jan |
spellingShingle |
Ziembicki Piotr Klimczak Marcin Bernasiński Jan Optimization of Municipal Energy Systems with the Use of an Intelligent Analytical System Civil and Environmental Engineering Reports energy systems simulation optimization analytical systems smart city |
author_facet |
Ziembicki Piotr Klimczak Marcin Bernasiński Jan |
author_sort |
Ziembicki Piotr |
title |
Optimization of Municipal Energy Systems with the Use of an Intelligent Analytical System |
title_short |
Optimization of Municipal Energy Systems with the Use of an Intelligent Analytical System |
title_full |
Optimization of Municipal Energy Systems with the Use of an Intelligent Analytical System |
title_fullStr |
Optimization of Municipal Energy Systems with the Use of an Intelligent Analytical System |
title_full_unstemmed |
Optimization of Municipal Energy Systems with the Use of an Intelligent Analytical System |
title_sort |
optimization of municipal energy systems with the use of an intelligent analytical system |
publisher |
Sciendo |
series |
Civil and Environmental Engineering Reports |
issn |
2080-5187 2450-8594 |
publishDate |
2018-09-01 |
description |
The paper presents the analytical and consultancy system which aims at a complex, comprehensive, multi-criteria energy performance analysis of a given building or a group of buildings and at making a recommendation for an energy source with regard to CO2 emission and investment costs determined on the basis of indicators included in the knowledge databases. The analytical and consultancy system employs advanced energy performance computer simulations of buildings as well as innovative analytical algorithms worked out and contributed by the authors, including those based on the knowledge base developed on the grounds of performance data from selected buildings of various types situated in a dozen or so cities of different population in Poland. |
topic |
energy systems simulation optimization analytical systems smart city |
url |
https://doi.org/10.2478/ceer-2018-0041 |
work_keys_str_mv |
AT ziembickipiotr optimizationofmunicipalenergysystemswiththeuseofanintelligentanalyticalsystem AT klimczakmarcin optimizationofmunicipalenergysystemswiththeuseofanintelligentanalyticalsystem AT bernasinskijan optimizationofmunicipalenergysystemswiththeuseofanintelligentanalyticalsystem |
_version_ |
1717772877729628160 |