Abstract
The aim of this paper is to highlight the potentialities of a synergic application of energy analysis and economic analysis for supporting design strategies, considering the effects of the territorial location in terms of energy consumptions and prices/market variations. In order to simulate the effects of the specific projects’ potential location on energy and economic input data, uncertainty is introduced as a proxy in the conjoint energy and economic analysis. A two-phases methodology is proposed, considering, first, a massive set of dynamic energy simulations by EnergyPlus of a sample office unit by varying, in this first step of the research, its location and related envelope thermal insulation levels. Minimal U-values are assumed for each simulation according to the local climate zone in accordance to DM 26.06.15, while simulated energy needs for space heating and cooling are analyzed by using a devoted python script. Second, a stochastic Global Cost calculation is proposed, considering the Global Cost (EN 15459:2007) the fundamental of the Life Cycle Cost Analysis (ISO 15686: 2008, Part 5). In this first step of the work, focus is posed at the Global Cost calculation considering solely the running costs component, in stochastic terms. The Probability Analysis solved through the Monte Carlo Method is used to represent the possible effects of uncertainty on the “energy-economic items” definition, affecting the NPVs results. The Italian territory is considered including 7978 Italian Municipalities and the related climate zones.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
European Commission: Clean Energy for All Europeans. COM(2016) 860 final. European Commission, Brussels (2016)
Chiesa, G., Grosso, M., Pearlmutter, D., Ray, S.: Editorial. Advances in adaptive comfort modelling and passive/hybrid cooling of buildings. Energy Build. 148, 211–217 (2017)
Santamouris, M.: Cooling the buildings—past, present and future. Energy Build. 28, 617–638 (2016)
Heiselberg, P. (ed.): Ventilative Cooling Design Guide. IEA EBC Annex 62. Aalborg Un. Press, Aalborg (2018)
Košir, M., Gostiša, T., Krist, Z.: Influence of architectural building envelope characteristics on energy performance in Central European climatic conditions. J. Build. Eng. 15, 278–288 (2018)
Chiesa G. et al.: Insulation, building mass and airflows—Provisional and multivariable analysis. Sustain. Mediterr. Constr. 8, 36–40
Gundes, S.: The use of life cycle techniques in the assessment of sustainability. Procedia—Social Behav. Sci. 216, 916–922 (2016)
Langdon, D.: Life cycle costing (LCC) as a contribution to sustainable construction: a common methodology—final methodology (2007). http://ec.europa.eu/enterprise/sectors/construction/studies/life-cycle-costing_en.htm
König, H., Kohler, N., Kreissig, J., Lützkendorf, T.: A Life Cycle Approach to Buildings, Principles, Calculations, Design Tools. Detail Green Books, Regensburg (2010)
Boussabaine, A., Kirkham, R.: Whole Life-Cycle Costing: Risk and Risk Responses. Blackwell Publishing, Oxford (2004)
Menezes, A.C., Cripps, A., Buswell, R.A., Wright, J., Bouchlaghem, D.: Estimating the energy consumption and power demand of small power equipment in office buildings. Energy Build. 75, 199–209 (2014)
Fregonara, E., Lo Verso, V.R.M., Lisa, M., Callegari, G.: Retrofit scenarios and economic sustainability. A case-study in the Italian context. Energy Procedia 111, 245–255 (2017)
Fregonara, E., Ferrando, D.G., Pattono, S.: Economic-environmental sustainability in building projects: introducing risk and uncertainty in LCCE and LCCA. Sustainability 10(6), 1901 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chiesa, G., Fregonara, E. (2020). Energy and Economic Analyses for Supporting Early Design Stages: Introducing Uncertainty in Simulations. In: Littlewood, J., Howlett, R., Capozzoli, A., Jain, L. (eds) Sustainability in Energy and Buildings. Smart Innovation, Systems and Technologies, vol 163. Springer, Singapore. https://doi.org/10.1007/978-981-32-9868-2_5
Download citation
DOI: https://doi.org/10.1007/978-981-32-9868-2_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-32-9867-5
Online ISBN: 978-981-32-9868-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)