scholarly journals A Decision Support System for Scenario Analysis in Energy Refurbishment of Residential Buildings

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4738
Author(s):  
Alberto Giretti ◽  
Alessandra Corneli ◽  
Berardo Naticchia
Keyword(s):  
Energy Efficiency ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Residential Buildings ◽  
Technical Information ◽  
Residential Building ◽  
Energy Performance ◽  
Short Time ◽  
Time Frames

The energy efficiency of buildings is a key condition in the implementation of national sustainability policies. Energy efficiency of the built heritage is usually achieved through energy contracts or renovation projects that are based on decisions often taken with limited knowledge and in short time frames. However, the collection of comprehensive and reliable technical information to support the decision process is a long and expensive activity. Approximate assessment methods based on stationary thermal models are usually adopted, often introducing unacceptable uncertainties for economically onerous contracts. Hence, it is important to develop tools that, by capitalizing on the operators’ experience, can provide support for fast and reliable assessments. The paper documents the development of a decision support system prototype for the management of energy refurbishment investments in the residential building sector that assists operators in the energy performance assessment, using a limited set of technical information. The system uses a Case Based paradigm enriched with probabilistic modelling to implement decision support within the corporate’s knowledge management framework.

scholarly journals Design and development of an interactive mobile-based decision support system for selecting higher education studies

2017 ◽  
Vol 2 (1) ◽  
pp. 240-248 ◽  
Author(s):  
Vassilis Kostoglou ◽  
Konstantinos Kafkas
Keyword(s):  
Higher Education ◽  
Decision Support ◽  
Young People ◽  
Decision Support System ◽  
Support System ◽  
Technical Information ◽  
Extensive Literature ◽  
Education Students ◽  
Recent Graduates ◽  
Architecture And Design

Abstract This work is an attempt to contribute to the knowledge and guidance of young people (lyceum graduates, higher education students and recent graduates) regarding important issues related to their career and vocational prospects. These issues are related to major relevant questions such as 'what' and 'where' to study, as well as the contents and the prospects of all provided specializations by the departments of Greek institutes of higher education. This article focuses on the analysis and the design of a mobile-based decision support system (DSS) to assist its users in getting thoroughly informed about HE studies in Greece, and eventually in choosing their vocational prospects. An extensive literature and applications review has revealed that there are no such DDS systems, giving to this work an innovative character. The article contains all main elements of system's architecture and design including the essential technical information, presents the main features and representative screenshots of the mobile-based application and comes to conclusions and future suggested work.

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.

scholarly journals A MULTIPLE CRITERIA DECISION SUPPORT SYSTEM FOR ANALYZING THE CORRELATION BETWEEN THE THICKNESS OF A THERMO-INSULATION LAYER AND ITS PAYBACK PERIOD OF THE EXTERNAL WALL

2015 ◽  
Vol 21 (6) ◽  
pp. 827-835 ◽  
Author(s):  
Donatas Aviža ◽  
Zenonas Turskis ◽  
Artūras Kaklauskas
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Management System ◽  
Energy Performance ◽  
Payback Period ◽  
Multiple Criteria ◽  
Insulation Layer ◽  
Model Base ◽  
External Wall

A case study provides the correlation analysis of the thickness of the thermo-insulation layer (expanded polystyrene – EPS70) of the typical details of the external wall and energy performance class in a modern newly constructed residential low-energy building (one and two-room apartment). The conducted analysis focused on what impact different geographical areas of building construction and different energy performance classes of the building may had on the thickness of the thermo-insulation layer. Lithuania was chosen as the object of this study. Calculations were carried out in seven towns, including Vilnius, Klaipeda, Kaunas, Siauliai, Panevezys, Utena and Dukstas. According to requirements for legal acts passed in the Republic of Lithuania and to Directive 2010/31/EU (2010), as a result, the necessary thickness of thermo-insulation layers (EPS70) and a payback period were calculated. A multiple criteria decision support system for analyzing the correlation between the thickness of the thermo-insulation layer and its payback period of the external wall (DSS-ACTILPW) consisting of a database, a database management system, a model-base, a model-base management system and a user interface was developed. Information on the performed analysis is important to building designers, energy consumption auditors and investment experts who make the final decisions on energy efficiency of buildings in the residential building sector.

scholarly journals Sistem Pendukung Keputusan Penentuan Alternatif Produk Terbaik dengan Metode Elemination Et Choix Traduisant Realita ( Electre )

2018 ◽  
Vol 6 (1) ◽  
pp. 84-95
Author(s):  
Elmi Rahmawati ◽  
Novi Herpina
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Programming Languages ◽  
Support System ◽  
Product Selection ◽  
The Public ◽  
The People ◽  
Electre Method ◽  
Short Time ◽  
Alternative Decision

Choosing and determining the most appropriate product is one way that people can do to maintain health. Inappropriate product selection can actually cause great harm to people. Along with the development and advancement of technology, then a reliable system is needed to support public health. To facilitate the public in selecting and determining the best product, then needed a decision support system in determining the best product alternative for helath. This research aims to develop an alternative decision support system of the best product with Electre method. The use of Electre method supported by PHP and MySQL programming languages can improve the efficiency in determining the best product in a short time, and quality. especially for Bana Supermaket store owner who will sell their products to the public. In addition, the implementation of decision support system with Electre method can facilitate the people, especially for store owner Bana Supermaket in choosing and determining the best product to be traded.

scholarly journals RANCANG BANGUN DECISION SUPPORT SYSTEM UNTUK PEMILIHAN RUTE PENGIRIMAN PAKET PADA PERUSAHAAN PENYEDIA JASA LOGISTIK

2018 ◽  
Vol 1 (2) ◽  
pp. 101-110
Author(s):  
Bilal Ahmadi ◽  
Devi Jayawati
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Distance Measure ◽  
Application Programming Interface ◽  
Route Optimization ◽  
Future Research ◽  
Package Delivery ◽  
Application Programming ◽  
Short Time

Traveling Salesman Problem (TSP) is a well-known route optimization problem in which a set of customers is visited only once and all demands are satisfied within single route. Package delivery by a courier company can be considered into this type of problem. While many of the previous research had been conducted, the application of the solutions were limited due to unreal distance measure. This paper developed a decision support system for route optimization using free online maps from Google and Google Maps Application Programming Interface (API). Genetic Algorithm was employed to generate solutions within relatively short time. Furthermore, the solutions was viewed as a function of distance and time. There were some limitations from Google in case of acquiring distance data with the free of charge mechanism. Future research can tackle this backdraw by putting more customer points. Other heuristic methods could also be used for comparison purpose

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