Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Developing a model for energy retrofit in large building portfolios: Energy assessment, optimization and uncertainty
Highlights Uncertainty is a significant barrier to low-carbon investments in real estate. The model simplifies the management of energy refurbishment in building portfolios. Linear optimization is integrated with a 2D-Monte Carlo analysis to deal with risk. Energy retrofit is seen as an optimization problem with objectives and constraints. Tax incentives, energy price and bank spread represent the critical variables.
Abstract In recent years, an increasing interest has been addressed to the energy efficiency of buildings. However, the focus has always been on individual properties, while both literature and practice still lack detailed solutions for entire stocks. Conversely, energy efficiency approaches should consider building portfolios as a whole, given that the deep decarbonisation of existing stocks would bring significant environmental and economic benefits. In this research paper, a decision support model has been developed for planning and managing energy retrofit operations in wide building portfolios. The core idea is to go beyond the single-building perspective and identify the level of energy retrofit that leads to the greatest possible benefit, comprising economic, environmental, human, and conservation targets. Energy improvement is here handled as an optimisation process, showing conflicting objectives and constraints. To this end, several techniques have been combined from various disciplines such as statistics, economics, energy modelling, operational research, and risk analysis, to develop a comprehensive and interdisciplinary methodology. Among the results of this research, the extreme flexibility in comparing countless design scenarios, the limited amount of buildings’ characteristics required and the straightforwardness of the model developed are the most important contributions achieved.
Developing a model for energy retrofit in large building portfolios: Energy assessment, optimization and uncertainty
Highlights Uncertainty is a significant barrier to low-carbon investments in real estate. The model simplifies the management of energy refurbishment in building portfolios. Linear optimization is integrated with a 2D-Monte Carlo analysis to deal with risk. Energy retrofit is seen as an optimization problem with objectives and constraints. Tax incentives, energy price and bank spread represent the critical variables.
Abstract In recent years, an increasing interest has been addressed to the energy efficiency of buildings. However, the focus has always been on individual properties, while both literature and practice still lack detailed solutions for entire stocks. Conversely, energy efficiency approaches should consider building portfolios as a whole, given that the deep decarbonisation of existing stocks would bring significant environmental and economic benefits. In this research paper, a decision support model has been developed for planning and managing energy retrofit operations in wide building portfolios. The core idea is to go beyond the single-building perspective and identify the level of energy retrofit that leads to the greatest possible benefit, comprising economic, environmental, human, and conservation targets. Energy improvement is here handled as an optimisation process, showing conflicting objectives and constraints. To this end, several techniques have been combined from various disciplines such as statistics, economics, energy modelling, operational research, and risk analysis, to develop a comprehensive and interdisciplinary methodology. Among the results of this research, the extreme flexibility in comparing countless design scenarios, the limited amount of buildings’ characteristics required and the straightforwardness of the model developed are the most important contributions achieved.
Developing a model for energy retrofit in large building portfolios: Energy assessment, optimization and uncertainty
Gabrielli, Laura (Autor:in) / Ruggeri, Aurora Greta (Autor:in)
Energy and Buildings ; 202
03.08.2019
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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