Developing indicators to improve energy action plans in municipalities: An accounting framework based on the fund-flow model

Cipriano, X.; Gamboa, Gonzalo; Danov, Stoyan; Mor, Gerard; Cipriano, Jordi

doi:10.1016/j.scs.2017.03.004

Cited by 19 publications

(9 citation statements)

References 15 publications

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“…In other words, when a roof is suitable for PV integration, different degrees of suitability emerge, which is why sorting procedures have to be developed. Being able to create different groups of roofs with varying degrees of suitability could also be used by local authorities as an indicator to help prioritize PV deployment and meet the goals that have been set for 2050 (Cipriano et al, 2017). For example, roofs have high degree of suitability should be equipped first as they are cases when the integration of PV is highly beneficial.…”

Section: Solar Energy In Citiesmentioning

confidence: 99%

Multicriteria roof sorting for the integration of photovoltaic systems in urban environments

Thebault

Clivillé

Berrah

et al. 2020

Sustainable Cities and Society

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Authors would like to thanks the program INTERREG V Suisse-France for providing financial support to conduct this study in the framework of the project G2 Solar which aims at extending the solar cadaster to the Greater Geneva and intensify energy solar production at this level. We greatly acknowledge R. Giraudon at Urban Solar Energy, and B. Benchenafi at Reservoir Sun, for their helpful discussion and their expertise. We finally thank Manon Turban for her proofreading of the document.

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Section: Solar Energy In Citiesmentioning

confidence: 99%

Multicriteria roof sorting for the integration of photovoltaic systems in urban environments

Thebault

Clivillé

Berrah

et al. 2020

Sustainable Cities and Society

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“…Further, indicators are essential to address innovative solutions (Mancini and Nastasi, 2019) and operation strategies for buildings aimed at flexibility (Clauß et al, 2017) and relevant problems, such as softlinking simulation models with energy planning tools (Noussan and Nastasi, 2018;Dominković et al, 2020). Indeed, the scalability of analysis methods and tools up to district (Adhikari et al, 2012b), city (Cipriano et al, 2017), and regional scales (Aste et al, 2014;Kuster et al, 2019) is fundamental to ensure the credibility of policies and practices.…”

Section: Linking Design and Operational Energy Performance Analysis Amentioning

confidence: 99%

Linking Design and Operation Phase Energy Performance Analysis Through Regression-Based Approaches

2020

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The reduction of energy usage and environmental impact of the built environment and construction industry is crucial for sustainability on a global scale. We are working towards an increased commitment towards resource efficiency in the built environment and to the growth of innovative businesses following circular economy principles. The conceptualization of change is a relevant part of energy and sustainability transitions research, which is aimed at enabling radical shifts compatible with societal functions. In this framework, building performance has to be considered in a whole life cycle perspective because buildings are long-term assets. In a life cycle perspective, both operational and embodied energy and carbon emissions have to be considered for appropriate comparability and decision-making. The application of sustainability assessments of products and practices in the built environment is itself a critical and debatable issue. For this reason, the way energy consumption data are measured, processed, and reported has to be progressively standardized in order to enable transparency and consistency of methods at multiple scales (from single buildings up to building stock) and levels of analysis (from individual components up to systems), ideally complementing ongoing research initiatives that use open science principles in energy research. In this paper, we analyse the topic of linking design and operation phase’s energy performance analysis through regression-based approaches in buildings, highlighting the hierarchical nature of building energy modelling data. The goal of this research is to review the current state of the art of in order to orient future efforts towards integrated data analysis workflows, from design to operation. In this sense, we show how data analysis techniques can be used to evaluate the impact of both technical and human factors. Finally, we indicate how approximated physical interpretation of regression models can help in developing data-driven models that could enhance the possibility of learning from feedback and reconstructing building stock data at multiple levels.

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“…Among the studies focused on specific territories, we can find works in France [63], in Denmark [64] and evaluations of the effectiveness of the SEAPs in Genoa in Italy [65], a work that evidences the type of measures implemented in Portugal [66], or studies that compare the implementation of CoMs in Italy and the United Kingdom, both with a qualitative and qualitative approach [67]. Other studies have investigated the motivations that lead governments to join city networks in the face of climate change [66,[68][69][70][71][72], the evaluation of involvement and participation through indicators [36,39], the creation of indicators for evaluating SEAPs based on energy efficiency [73] or the identification of good practices and guidelines to increase municipalities' own participation [4]. Unlike previous works, other works use multi-criteria analysis methodologies to support local administrations in SEAP programming [74], for scenario feasibility analysis [75] or for implementing decision support tools for local planning [76].…”

Section: Review Of Scientific Work To Identify Profiles Of Climate Chmentioning

confidence: 99%

European Strategies for Adaptation to Climate Change with the Mayors Adapt Initiative by Self-Organizing Maps

et al. 2019

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The European Union (EU) has assigned municipal governments a key role in the transformations needed to achieve its climate and energy objectives. One of the main initiatives of the EU has been the “The Covenant of Mayors”, launched in 2008, with impacts beyond Europe due to integration with the “Global Covenant of Mayors for Climate and Energy”. This research focuses on local measures to adapt to climate change, verifying their differences between themselves, and aims to identify and characterize patterns in the different adaptation strategies examined. Further aims are (i) the collection of good practices, framed in the Mayors Adapt initiative, managing multidimensional data from the context and from its adaptation proposals; (ii) the classification of strategies in profiles and patterns using artificial neural networks based on the previous variables; (iii) the characterization and comparison of such profiles. The results substantiate the existence of several well-differentiated approaches, connected with their geographical context, vulnerability and politics. These results provide valuable information for its interpretation and for the planning of climate change adaptation actions, highlighting the value of the creation of networks of institutional collaboration targeted at each strategic framework.

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Developing indicators to improve energy action plans in municipalities: An accounting framework based on the fund-flow model

Cited by 19 publications

References 15 publications

Multicriteria roof sorting for the integration of photovoltaic systems in urban environments

Multicriteria roof sorting for the integration of photovoltaic systems in urban environments

Linking Design and Operation Phase Energy Performance Analysis Through Regression-Based Approaches

European Strategies for Adaptation to Climate Change with the Mayors Adapt Initiative by Self-Organizing Maps

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