Abstract
Nowadays, there is an increasing concern about sustainable urban energy development taking into account national priorities of each city. Many cities have started to define future strategies and plans to reduce energy consumption and greenhouse gas emissions. Urban energy scenarios involve the consideration of a wide range of conflicting criteria, both socio-economic and environmental ones. Moreover, decision-makers (DMs) require proper tools that can support their choices in a context of multiple stakeholders and a long-term perspective. In this context, Multicriteria Spatial Decision Support Systems (MC-SDSS) are often used in order to define and analyze urban scenarios since they support the comparison of different solutions, based on a combination of multiple factors. The main problem, in relation to urban energy retrofitting scenarios, is the lack of appropriate knowledge and evaluation criteria. The latter are crucial for delivering and assessing urban energy scenarios through a MC-SDSS tool. The main goal of this paper is to analyze and test two different methods for the definition and ranking of the evaluation criteria. More specifically, the paper presents an on-going research study related to the development of a MC-SDSS tool able to identify and evaluate alternative energy urban scenarios in a long-term period perspective. This study refers to two Smart City and Communities research projects, namely: DIMMER (District Information Modeling and Management for Energy Reduction) and EEB (Zero Energy Buildings in Smart Urban Districts).
Highlights
Today, there is a large concern about green building design and the reduction of greenhouse gas emissions in cities
The highest amount of energy usage belongs to cities, accounting for 32% of global final energy consumption, and it is expected that this number will increase in the near future due to the growing urban population [1]
This paper presents an on-going research related to the development of a Multicriteria Spatial Decision Support Systems (MC-spatial decision support system (SDSS)) able to provide and evaluate alternative energy urban scenarios in a long-term period perspective
Summary
There is a large concern about green building design and the reduction of greenhouse gas emissions in cities. A further element of concern is related to the age of the existing buildings stock since most of them are dated back to the 1970s, leading to low energy performances. Appropriate retrofitting strategies are needed due to the low demolition rate of existing buildings, in order to make successful energy savings targets. With this in mind, many cities started to define future strategies and plans to reduce energy consumption and greenhouse gas emission [2]. Policies and urban energy scenario development require the consideration of a territorial approach and the analysis of a large stock of buildings and their energy performances [3], rather than the analysis of single building energy efficiency improvement [4]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
