A Decision Support System (DSS) for Sustainable Production of Biofuel

2013 ◽  
Vol 465-466 ◽  
pp. 1103-1108
Author(s):  
Mohammad Hossein Mohammadi Ashnani ◽  
Anwar Johari ◽  
Haslenda Hashim ◽  
Elham Hasani
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Social Issues ◽  
Renewable Energy Sources ◽  
Assessment Tools ◽  
Social Challenges ◽  
The Many

Great deal of concerns have been aroused after the global surge of prices of petroleum along with shrinking resources of non-renewable fossil fuel and regarding the necessity of renewable energy sources as alternative fuel. Despite the many positive characteristics of biofuels, they cause a variety of environmental, economical, and social challenges that were not known to decision-makers by usual evaluation tools such as life cycle assessment (LCA) and Environmental Impact Assessment (EIA). This paper aims to design a Decision Support System (DSS) which covers weakness of existing assessment tools, using Strategic Environmental Assessment (SEA) and life cycle assessment (LCA) models. Furthermore, a sustainable framework for decision making through assessing and considering wider environmental, economic, and social issues pertinent to different steps of development of biofuel is developed.

scholarly journals Optimal Planning of Sustainable Buildings: Integration of Life Cycle Assessment and Optimization in a Decision Support System (DSS)

Energies ◽  
2016 ◽  
Vol 9 (7) ◽  
pp. 490 ◽  
Author(s):  
Fabio Magrassi ◽  
Adriana Del Borghi ◽  
Michela Gallo ◽  
Carlo Strazza ◽  
Michela Robba
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Optimal Planning ◽  
Sustainable Buildings

scholarly journals An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas

2020 ◽  
Vol 12 (2) ◽  
pp. 259 ◽  
Author(s):  
Małgorzata Sztubecka ◽  
Marta Skiba ◽  
Maria Mrówczyńska ◽  
Anna Bazan-Krzywoszańska
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Decision Support ◽  
Geographic Information Systems ◽  
Decision Support System ◽  
Support System ◽  
Urban Areas ◽  
Renewable Energy Sources ◽  
Decision Makers ◽  
Energy Sources

Improving in the energy efficiency of urban buildings, and maximizing the savings and the resulting benefits require information support from city decision-makers, planners, and designers. The selection of the appropriate analytical methods will allow them to make optimal design and location decisions. Therefore, the research problem of this article is the development of an innovative decision support system using multi-criteria analysis and Geographic Information Systems (decision support system + Geographic Information Systems = DGIS) for planning urban development. The proposed decision support system provides information to energy consumers about the location of energy efficiency improvement potential. This potential has been identified as the possibility of introducing low-energy buildings and the use of renewable energy sources. DGIS was tested in different construction areas (categories: A, B, C, D), Zielona Góra quarters. The results showed which area among the 53 quarters with a separate dominant building category was the most favorable for increasing energy efficiency, and where energy efficiency could be improved by investing in renewable energy sources, taking into account the decision-maker. The proposed DGIS system can be used by local decision-makers, allowing better action to adapt cities to climate change and to protect the environment. This approach is part of new data processing strategies to build the most favorable energy scenarios in urban areas.

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