A methodology for sustainable and inclusive local energy planning

Neves, Ana Rita; Leal, Vítor; Lourenço, João Carlos

doi:10.1016/j.scs.2015.04.005

Cited by 53 publications

(31 citation statements)

References 11 publications

(12 reference statements)

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“…Neves and team proposed a decision support methodology for supporting local sustainable energy planning processes. The research covered the entire energy planning process-from structure to a selection of an action plan, and the conclusions presented an assessment of alternative scenarios based on many strategic goals and preferences of local actors [46]. The choice of scenarios can avoid one-sector solutions and encourage many development trends, as described by Stanganelli and team [47].…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2020

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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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Section: Discussionmentioning

confidence: 99%

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

et al. 2020

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“…After the categorization and detailed analysis of the scientific articles, Table 7 provides a SWOT analysis of the MCDM approaches in dealing with sustainable energy development issues. [67], APIS [103], MACBETH [87], MIVE [43], PROSA [101], etc. It can be noted that the use of LCA is quite popular in combination with the multi-criteria decision analysis.…”

Section: Abotah and Daimmentioning

confidence: 99%

An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues

et al. 2018

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The measurement of sustainability is actively used today as one of the main preventative instruments in order to reduce the decline of the environment. Sustainable decision-making in solving energy issues can be supported and contradictory effects can be evaluated by scientific achievements of multi-criteria decision-making (MCDM) techniques. The main goal of this paper is to overview the application of decision-making methods in dealing with sustainable energy development issues. In this study, 105 published papers from the Web of Science Core Collection (WSCC) database are selected and reviewed, from 2004 to 2017, related to energy sustainability issues and MCDM methods. All the selected papers were categorized into 9 fields by the application area and into 10 fields by the used method. After the categorization of the scientific articles and detailed analysis, SWOT analysis of MCDM approaches in dealing with sustainable energy development issues is provided. The widespread application and use of MCDM methods confirm that MCDM methods can help decision-makers in solving energy sustainability problems and are highly popular and used in practice.

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“…• the technology and physical components of a system that deliver certain attributes, such as flexibility and connectivity, that make it smart ○ "Smart energy systems are complex networks of smart grids...", [48] ○ "a networked and embedded platform for realizing a dynamic energy mix and optimizing the energy consumption dynamically" [30] • These attributes of 'smartness' such as flexibility and connectivity, ○ "the essential features of a Smart Energy System lies in digitization, informatization, automation, interaction, intellectualization, accurate measurement, extensive communication, autonomous control and wide compatibility." [21] • Or the purpose of the system; objectives such as carbon reduction, network and supply resilience, or equity that can be achieved because of these attributes ○ "merging electricity, heating and transport sector helps to create the most fuel-efficient energy system, implement large amounts of fluctuating energy resources and reduce overall costs of the system" [20] The expectation is that smart energy systems will provide energy in a manner that is more cost effective [37], more efficient [40], more reliable [35], cleaner [42] and fairer [36]. This reflects concerns raised in the interviews around the disctinction between "smart" and "good".…”

Section: Ambiguity and The Need To Operationalisementioning

confidence: 99%

Smart Local Energy Systems (SLES): A framework for exploring transition, context, and impacts

Ford¹,

Maidment²,

Vigurs³

et al. 2019

Preprint

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Energy systems around the world are becoming increasingly decarbonised, decentralised, democratised, and digitised. However, what future smart local energy systems (SLES) will look like and how this will deliver against anticipated system benefits is not clear. This paper presents the results of a meta-narrative review and interview study focused on understanding conceptualisations of SLES using a systems thinking lens. Fifty-one relevant sources of information are reviewed (13 interview transcripts and 38 sources of literature) and coded according to 40 distinct codes. While findings show significant ambiguity in how SLES are conceptualised, some common themes emerged: (1) the purpose or goals of a SLES often extend beyond delivering energy services to end users, and are often intertwined with delivering additional environmental, social and economic benefits; (2) ‘smart’ elements typically include the information and communications technologies to generate data that can be used to optimise energy flows in a locality, either through autonomous or human-in-the loop mechanisms; (3) locality is hard to define and will likely be context specific and depend on the ultimate goal of the system, and the actors and infrastructure involved, and (4) the ultimate goals of a SLES may not be realised unless the system elements and their interconnections are understood, and can be mapped to these benefits. Further work is recommended to explore how the presence (or absence) of ‘smart’ and ‘local’ elements (including how they are connected) can deliver these benefits.

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A methodology for sustainable and inclusive local energy planning

Cited by 53 publications

References 11 publications

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

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

An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues

Smart Local Energy Systems (SLES): A framework for exploring transition, context, and impacts

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