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A platform for research: civil engineering, architecture and urbanism
Economic evaluation of building energy retrofits: A fuzzy based approach
HighlightsConventional life cycle cost (LCC) analysis methods ignore uncertainties associated with parameters.This paper analyzed uncertainties associated with LCC parameters in detail.A fuzzy set theory based LCC analysis approach was proposed for building energy retrofits.The fuzzy set theory based approach revealed that there is a range of possible LCC.Aforementioned range can be narrowed by improving the precision of LCC parameters.
AbstractOngoing climate action programs are prompting more stringent energy performance standards for buildings. Consequently, energy retrofitting of existing buildings has become a common climate action initiative around the world. Building owners are keen to assess the technical and financial feasibility of energy retrofitting in pre-project planning stages. Life cycle cost analysis (LCCA) involves assessment of the economic cost of an asset or a service. LCCA, which is a data-intensive process, is heavily affected by data uncertainties; however, traditional deterministic LCCA models are oblivious to data uncertainty and this can have a significant effect on the final decision.As a solution, this paper proposes a novel LCCA approach for building energy retrofits. The proposed approach calculates life cycle cost (LCC) by adopting fuzzy set theory. In order to illustrate the proposed methodology, a case study was conducted for a public building operated in the Okanagan region of British Columbia, Canada. Two energy retrofit alternatives − a major retrofit and a deep retrofit − were compared using the proposed fuzzy set theory-based approach and the traditional deterministic LCCA approach. Even though the deterministic result had a strong membership to the fuzzy membership function of the LCC, the range of possible LCC is wide. Use of the fuzzy-based approach would enable the forecasting of possible future LCC as a result of changes in macro-economic factors. This information would allow building managers to plan for adverse future scenarios.
Economic evaluation of building energy retrofits: A fuzzy based approach
HighlightsConventional life cycle cost (LCC) analysis methods ignore uncertainties associated with parameters.This paper analyzed uncertainties associated with LCC parameters in detail.A fuzzy set theory based LCC analysis approach was proposed for building energy retrofits.The fuzzy set theory based approach revealed that there is a range of possible LCC.Aforementioned range can be narrowed by improving the precision of LCC parameters.
AbstractOngoing climate action programs are prompting more stringent energy performance standards for buildings. Consequently, energy retrofitting of existing buildings has become a common climate action initiative around the world. Building owners are keen to assess the technical and financial feasibility of energy retrofitting in pre-project planning stages. Life cycle cost analysis (LCCA) involves assessment of the economic cost of an asset or a service. LCCA, which is a data-intensive process, is heavily affected by data uncertainties; however, traditional deterministic LCCA models are oblivious to data uncertainty and this can have a significant effect on the final decision.As a solution, this paper proposes a novel LCCA approach for building energy retrofits. The proposed approach calculates life cycle cost (LCC) by adopting fuzzy set theory. In order to illustrate the proposed methodology, a case study was conducted for a public building operated in the Okanagan region of British Columbia, Canada. Two energy retrofit alternatives − a major retrofit and a deep retrofit − were compared using the proposed fuzzy set theory-based approach and the traditional deterministic LCCA approach. Even though the deterministic result had a strong membership to the fuzzy membership function of the LCC, the range of possible LCC is wide. Use of the fuzzy-based approach would enable the forecasting of possible future LCC as a result of changes in macro-economic factors. This information would allow building managers to plan for adverse future scenarios.
Economic evaluation of building energy retrofits: A fuzzy based approach
Ruparathna, Rajeev (author) / Hewage, Kasun (author) / Sadiq, Rehan (author)
Energy and Buildings ; 139 ; 395-406
2017-01-09
12 pages
Article (Journal)
Electronic Resource
English
AIRR , Adjusted Internal Rate of Return , BC , British Columbia , DSW , Dong Shah and Wong , EAC , equivalent annual cost , FBI , federal buildings initiative , GDP , gross domestic product , GHG , greenhouse gases , HVAC , Heating ventilation and air conditioning , IRR , internal rate of return , LCC , Life cycle cost , LCCA , Life cycle cost analysis , MoM , mean of maximum , NS , net savings , MO & R , operation maintenance and repair costs , PP , payback period , SIR , savings-to-investment ratio , Built environment , Energy retrofits , Fuzzy set theory
Economic evaluation of building energy retrofits: A fuzzy based approach
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