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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Main Authors: Ziembicki Piotr, Klimczak Marcin, Bernasiński Jan
Format: Article
Language:English
Published: Sciendo 2018-09-01
Series:Civil and Environmental Engineering Reports
Subjects:
Online Access:https://doi.org/10.2478/ceer-2018-0041
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spelling 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
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