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The use of multi-criteria optimization to choose solutions for energy-efficient buildings

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Języki publikacji
EN
Abstrakty
EN
The goal of this paper was to optimize the building envelope and technical equipment in the building through the mitigation of the global cost value, and then to evaluate the influence of the chosen assumptions on the primary energy index. The analyses carried out using global cost method allow for finding the cost optimal solution but only for the some range of primary energy index variability. In order to find the optimal solutions it was proposed to use the multi-criteria optimisation, assuming the following as basic criteria: a global cost value and investment prices increase (economic criteria), a primary energy index (energy-related criterion), an emission of carbon dioxide (environmental criterion). The analysed case study refers to the technical solutions for the residential buildings with the usable energy demand at the level of 40 and 15 kWh/m2/a. The presented method might be applied to different types of buildings: those being designed and those being the subject of the thermo-modernisation. The results demonstrate that the proposed model allows for classification of the alternative technical solutions regarding the designing process and the building’s technical equipment. The carried out analyses indicate the economic possibility to achieve the low energy building standard and show the need to concentrate the activities related to the installation technology and used energy source.
Rocznik
Strony
815--826
Opis fizyczny
Bibliogr. 43 poz., wykr., tab.
Twórcy
autor
  • Poznan University of Technology, Faculty of Civil and Environmental Engineering, Institute of Environmental Engineering, 4 Berdychowo St., 60-965 Poznan, Poland
Bibliografia
  • [1] The recast of the Energy Performance of Buildings Directive 2010/31/UE of 19 May 2010.
  • [2] Journal of Orders 290 dated 9.02.2016. Announcement of Polish Sejm’s Speaker regarding the Order’s unified text – The Building Law [in Polish].
  • [3] Journal of Orders 75, item 690 dated 12.02.2016. Order of Minister of Infrastructure regarding the technical conditions for the buildings and its location, as amended. [in Polish].
  • [4] PN EN ISO 13790. Energy performance of buildings. Calculation of energy use for space heating and cooling.
  • [5] Website of the Ministry of Infrastructure and Construction, http://www.mib.gov.pl, access 3.01.2017.
  • [6] EU Energy, Transport and GHG Emissions Trends to 2050. Reference scenario, Luxembourg, Publications Office of the European Union, 2013.
  • [7] Energy Regulatory Office, http://www.ure.gov.pl, access 3.01.2017.
  • [8] Website of Veolia Poland, http://www.veolia.pl, access 3.01.2017.
  • [9] PN EN 15459. Energy performance of buildings. Economic word splitting procedure for energy systems in buildings.
  • [10] The National Centre for Emissions Management (KOBiZE). Word splitting Values (WO) and CO2 emission indicators (WE) for 2013 for Common Effective Emission Reporting for 2016, Warszawa, 2015 [in Polish].
  • [11] The National Centre for Emissions Management (KOBiZE). CO2 emission factors for the electric power at the final recipients for 2014 [in Polish].
  • [12] M. Airaksinen and P. Matilainen, “A carbon footprint of an office building” Energies 4, 1197‒1210, 2011.
  • [13] C.A. Balaras, K. Droutsa, E. Dascalaki, and S. Kontoyiannidis, “Heating energy consumption and resulting environmental impact of European apartment buildings”, Energ Buildings 37, 429‒442, 2005.
  • [14] C. Diakaki, E. Grigoroudis, N. Kabelis, D. Kolokotsa, K. Kalaitzakis, and G. Stavrakakis, “A multi-objective decision model for the improvement of energy efficiency in buildings”, Energy 35, 5483‒5496, 2010.
  • [15] M. Fesanghary, S. Asadi, and Z.W. Geem, “Design of low-emission and energy-efficient residential buildings using a multi-objective optimization algorithm”, Build Environ 49, 245‒250, 2012.
  • [16] M. Hamdy, A. Hasan, and K. Siren, “Applying a multi-objective optimization approach for design of low-emission cost-effective dwellings”, Build Environ 46, 109‒123, 2011.
  • [17] J. Lizana, Á. Barrios-Padura, M. Molina-Huelva, and R. Chacartegui, “Multi-criteria assessment for the effective decision management in residential energy retrofitting”, Energ Buildings 129, 284‒307, 2016.
  • [18] J.J. Wang, Y.Y. Jing, C.F. Zhang, and J.H. Zhao, “Review on multi-criteria decision analysis aid in sustainable energy decision-making, Renew sust. Energ Rev 13, 2263‒2278, 2009.
  • [19] T. Witkowski, P. Antczak, and A. Antczak, “Multi-objective decision making and search space for the evaluation of production process scheduling”, Bull. Pol. Ac.: Tech. 57 (3), 195‒208, (2009).
  • [20] Journal of Orders 376 dated 27.02.2015. Regulation of the Minister of Infrastructure and Development on a methodology for determining the energy performance of a building or part of a building and energy performance certificate [in Polish].
  • [21] M. Basińska, H. Koczyk, and E. Szczechowiak, “Sensitivity analysis of determining the optimum energy for residential buildings in Polish conditions”, Energ Buildings 107, 307‒318, 2015.
  • [22] T.M. Mróz, Energy management in built environment. Tools and evaluation procedures, Poznan University of Technology, Poznań, 2013.
  • [23] C. Baglivo, P.M. Congedo, D. D’Agostino, and I. Zaca, “Cost-optimal analysis and technical comparison between standard and high efficient mono-residential buildings in a warm climate”, Energy 83, 560‒575, 2015.
  • [24] M. Ferrara, E. Fabrizio, J.Virgone, and M. Filippi, “A simulation-based optimization method for cost-optimal analysis of nearly Zero Energy Buildings”, Energ Buildings 84, 442–457, 2014.
  • [25] L. Georges, C. Massart, G. VanMoeseke, and A. De Herde, “Environmental and economic performance of heating systems for energy-efficient dwellings: Case of passive and low-energy single-family houses”, Energy Policy 40, 452‒464, 2012. [26] R. Geryło, “Energy-related conditions and envelope properties for sustainable buildings”. Bull. Pol. Ac.: Tech. 64 (4), 697‒707, (2016).
  • [27] R. Geryło, “The economic optimum of energy requirements for buildings in Poland”, 61-th Scientific Conference of the Civil and Water Engineering of the Polish Academy of Science (PAN) and of the Science Committee PZITB, Bydgoszcz – Krynica, Problem part: Energy-saving construction in Poland – current state and perspectives, 2015 [in Polish].
  • [28] M. Hamdy, A. Hasan, and K. Siren, “A multi-stage optimization method for cost-optimal and nearly-zero-energy building solutions in line with the EPBD. Recast 2010”, Energ Buildings 56, 189‒203, 2013.
  • [29] H. Koczyk and M. Basińska, “Energy – economic optimum of installation solutions for energy efficient buildings”, 61-th Scientific Conference of the Civil and Water Engineering of the Polish Academy of Science (PAN) and of the Science Committee PZITB, Bydgoszcz – Krynica, Problem part: Energy-saving construction in Poland – current state and perspectives, 2015 [in Polish].
  • [30] V.P. Shah, D.C. Debella, and R.J. Ries, “Life cycle assessment of residential heating and cooling systems in four regions in the United States”, Energ Buildings 40, 503‒513, 2008.
  • [31] S.F. Tadeu, R.F. Alexandre, A.J.B. Tadeu, C.H. Antunes, N.A.V. Simões, and P. Pereira da Silva, “A comparison between cost optimality and return on investment for energy retrofit in buildings. A real options perspective”, Sustainable Cities and Society, 21, 12‒25, 2016.
  • [32] The European Commission’s website. https://ec.europa.eu/energy/en/topics/energy-efficiency/buildings, access 19.04.2017.
  • [33] W. Tian, “A review of sensitivity analysis methods in building energy analysis”, Renew Sust. Energ Rev 20, 411‒419, 2013.
  • [34] M. Basińska and H. Koczyk, “Analysis of the possibilities to achieve the low energy residential buildings standards”, Technol Econ Dev Eco 22(6), 830‒849, 2016.
  • [35] M. Basińska, H. Koczyk, and A. Kosmowski, “Assessment of thermo modernization using the global cost method”, Energy Proced. 78, 2040‒2045, 2015.
  • [36] W. Szaflik, “Hot water system’s design in residential buildings”, INSTAL, Warszawa, 2011 [in Polish].
  • [37] M. Basińska and H. Koczyk, „Impact of initial assumptions for assessment of apartment building using global cost method”, Rynek Instalacyjny, 3, 53‒56, 2015 [in Polish].
  • [38] A. Avgelis and A.M. Papadopoulos, “Application of multicriteria analysis in designing HVAC systems”, Energ Buildings 41, 774‒780, 2009.
  • [39] S.M. Bambrook, A.B. Sproul, and D. Jacob, “Design optimisation for a low energy home in Sydney”, Energ Buildings 43, 1702‒1711, 2011.
  • [40] K. Heikkila, “Environmental impact assessment using a weighting method for alternative air-conditioning systems”, Build Environ 39, 1133‒1140, 2004.
  • [41] C.J. Hopfe, G.L. Augenbroe, and J.L. Hensen, “Multi-criteria decision making under uncertainty in building performance assessment”, Build Environ 69, 81‒90, 2013.
  • [42] A.T. Nguyen, S. Reiter, and P. Rigo, “A review on simulation-based optimization methods applied to building performance analysis”, Appl Energ 113, 1043‒1058, 2014.
  • [43] K. Negendahl and T.R. Nielsen, “Building energy optimization in the early design stages: A simplified method”, Energ Buildings 105, 88‒99, 2015.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9e09767e-847c-4948-ada7-e6ac796cc7b0
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