期刊
SUSTAINABILITY
卷 11, 期 15, 页码 -出版社
MDPI
DOI: 10.3390/su11154193
关键词
smart cities; smart housing; cost and benefits; net present value; Monte Carlo simulation; smart meters
资金
- Canadian government through the Programme canadien de bourses de la Francophonie (PCBF)
- Teaching Chair in Economic Regional Development, Laval university
- Programme canadien de bourses de la Francophonie (PCBF)
The smart cities are considered to be an engine of economic and social growth. Most countries started to convert their existing cities into smart cities or construct new smart cities in order to improve the quality of life of their inhabitants. However, the problem that facing those countries while applying the concept of smart cities is the costs, especially for the residential sector. Despite the high initial and even operation costs for adopting different technologies in smart housing; the benefits could exceed those costs within the lifespan of the project. This article is shedding the light on the economics of smart housing. This study aims to evaluate the net present value (NPV) of a smart economic housing model to check the viability and feasibility of such projects. The calculation of the NPV based on Monte Carlo simulation provides an interesting methodological framework to evaluate the robustness of the results as well as providing a simple way to test for statistical significance of the results. This analysis helps to evaluate the potential profitability of smart housing solutions. The research ends up by proving the feasibility of this type of project.
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