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 Decision Support System Tool to Manage the Flexibility in Renewable Energy-Based Power Systems

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 153 ◽  
Author(s):  
Marco Badami ◽  
Gabriele Fambri ◽  
Salvatore Mancò ◽  
Mariapia Martino ◽  
Ioannis G. Damousis ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Decision Support ◽  
Decision Support System ◽  
Power Systems ◽  
Support System ◽  
Renewable Energy Sources ◽  
Economic Benefits ◽  
Energy Storage And Conversion ◽  
Specific Reference ◽  
Power To Gas

Renewable Energy Sources (RES) have taken on an increasingly important role in the energy mix in the last few years, and it has been forecasted that this trend will continue in the future. The energy production from these sources is not dispatchable, and the increasing penetration of RES in energy mixes may therefore lead to a progressive loss of generation control and predictability. It has become clear that, to reach higher RES penetration levels, it is essential to increase power system flexibility in order to ensure stable operations are maintained. An ICT (Information and Communication Technology) tool that may be used to manage and optimize the flexibility offered by energy storage and conversion systems is described in this paper with specific reference to the Decision Support System (DSS) developed within the H2020 PLANET (PLAnning and operational tools for optimizing energy flows and synergies between energy NETworks) project. The paper focuses on how the PLANET DSS tool evaluates, manages, and dispatches the flexibility of Power to Gas/Heat (P2X) technologies. Moreover, the tool has been used to analyze a realistic case in order to show how the PLANET DSS tool could be used to evaluate the energy and economic benefits of taking advantage of the flexibility of P2X technologies.

scholarly journals Flexibility Management in Renewable Energy Source Operated Power Systems using Decision Support System

2020 ◽  
Vol 2 (1) ◽  
pp. 35-42
Author(s):  
Dr. Haoxiang Wang
Keyword(s):  
Renewable Energy ◽  
Decision Support ◽  
Decision Support System ◽  
Power Systems ◽  
Support System ◽  
Renewable Energy Sources ◽  
Economic Benefits ◽  
Stable Operation ◽  
Energy Evaluation ◽  
Energy Conversion And Storage

In the recent days, energy mix performed by using the Renewable Energy Sources (RES) is gaining wide popularity. The control of predictability and generation takes a progressive loss as RES is penetrating increasingly in the energy mixes due to the non dispatchable nature of the energy produced from these sources. For ensuring and maintaining stable operation, the power system flexibility is increased when higher penetration levels are attained by RES. A Decision Support System (DSS) is used for energy conversion and storage systems which can be managed by an Information and Communication Technology (ICT) tool. The H2020 PLAnning and operational tools are used for optimizing energy flows and synergies between energy NETworks (PLANET) along with DSS for controlling the technology wherein power is converted into either heat or gas (P2X) by evaluation, management and dispatch. Further analysis is done in terms of energy evaluation and economic benefits with respect to P2X technology and its flexibility.

scholarly journals Potential of the City of Belgrade’s urban areas and establishment of institutional, strategic and planning framework for utilization of renewable energy sources and energy efficiency within the City of Belgrade

2015 ◽  
Vol 13 (3) ◽  
pp. 195-206
Author(s):  
Marija Lalosevic ◽  
Mirko Komatina ◽  
Marko Milos ◽  
Filip Kanacki
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Urban Areas ◽  
Renewable Energy Sources ◽  
Building Design ◽  
Energy Sources ◽  
Planning Framework ◽  
Eu Directives ◽  
The City

The paper analyzes the potential of renewable energy sources within the area of City of Belgrade, and explores the possibilities of their further implementation in the field of renewable energy sources and energy efficiency, in line with mandatory EU Directives. A synergetic approach has been proposed in the recommendations for the implementation of goals/targets and policies in the fields of renewable energy sources and energy efficiency in the City of Belgrade. They put an emphasis on the importance of implementation of the strategic documents of the City. Recommendations on have been provided regarding the required institutional preconditions that have to be met in order for these goals to be achieved, as well as urbanistic and building design-related measures/standards in achieving energy efficiency.

scholarly journals A Decision Support System for Public Funding of Experimental Development in Energy Research

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1357 ◽  
Author(s):  
Simon Hirzel ◽  
Tim Hettesheimer ◽  
Peter Viebahn ◽  
Manfred Fischedick
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Large Scale ◽  
Public Funding ◽  
Evaluation Process ◽  
Decision Makers ◽  
Market Failures ◽  
Energy Research ◽  
Experimental Development

New energy technologies may fail to make the transition to the market once research funding has ended due to a lack of private engagement to conclude their development. Extending public funding to cover such experimental developments could be one way to improve this transition. However, identifying promising research and development (R&D) proposals for this purpose is a difficult task for the following reasons: Close-to-market implementations regularly require substantial resources while public budgets are limited; the allocation of public funds needs to be fair, open, and documented; the evaluation is complex and subject to public sector regulations for public engagement in R&D funding. This calls for a rigorous evaluation process. This paper proposes an operational three-staged decision support system (DSS) to assist decision-makers in public funding institutions in the ex-ante evaluation of R&D proposals for large-scale close-to-market projects in energy research. The system was developed based on a review of literature and related approaches from practice combined with a series of workshops with practitioners from German public funding institutions. The results confirm that the decision-making process is a complex one that is not limited to simply scoring R&D proposals. Decision-makers also have to deal with various additional issues such as determining the state of technological development, verifying market failures or considering existing funding portfolios. The DSS that is suggested in this paper is unique in the sense that it goes beyond mere multi-criteria aggregation procedures and addresses these issues as well to help guide decision-makers in public institutions through the evaluation process.

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