1,720,979 research outputs found
Energy transition in Alpine local communities. Public response to changes towards low carbon energy systems.
Full text linkThis research defines the public response to changes towards low carbon energy systems. The findings support regional and local energy planners in order to accelerate the energy transition in the Alpine local communities, compatibly with their resources and specificities.
Energy transition is a long-term change process of the energy system towards low carbon features (i.e., more energy production from renewable sources, higher energy efficiency). From a technological point of view, energy system is an integrated system including several energy sources, technologies, and products for energy production, distribution, and consumption. From a social point of view, local population's choices and actions determine the time and the features of energy transition at regional and local scales. Indeed, energy system is not only technology matter. Socio-energy and territorial approaches underline the importance of features and relationships between energy, society, and space.
Based on the interactions between energy, society, and space, this research delineates an analytical framework and an applied definition of socio-energy system at local and translocal scale. Through a systematic literature review of 168 scientific publications, this research defines the list of dimensions and key aspects that shape an energy system at regional and local scales by means of local population's choices. This research uses these dimensions to analyse the socio-energy systems and their variation
within a regional territory. The transformation of these dimensions into variables is the basis for the cluster analysis applied to the South Tyrol case study (Italy). This analysis defines eight different socio-energy systems within this regional territory. Each socio-energy system has its own specificities and resources to take into consideration in the energy planning for accelerating the energy transition. With the aim to propose recommendations on how to use social and territorial specificities as levers for wider achievement of energy targets at local scale, this research proposes a Decision Support Tool addressed to regional and local energy planners. The Decision Support Tool also reports potential collaborations between municipalities with similar specificities and needs in order to save, protect, and share resources for a more effective energy planning.
The collaborations proposed by the Decision Support Tool only partially coincide with the actual collaborations in the energy governance of South Tyrol. Through a Bayesian exponential random graph model, this research identifies the network structures and dynamics that are at the basis of the actual energy governance. Further, the analysis identifies some network configurations that might change the actual network towards an energy
governance that consider the local and translocal specificities.
Concluding, the methodologies used in this research are replicable to other case studies with small adjustments
Local population shifting towards low carbon energy systems: a systematized literature review.
No full textLa competizione tra l’idroelettrico e gli altri usi della risorsa idrica: il caso delle valli Gesso e Vermenagna (Cuneo)
No full textCo-benefits of Smart and Sustainable Energy District Projects: an overview on economic assessment methodologies
No full textAnalysis of the Effective Stakeholders' Involvement in the Development of National Forest Programmes in Europe
No full textExploring Residents’ Willingness to Pay for Renewable Energy Supply: Evidences from an Italian Case Study
Full text linkThe present study offers a contingent valuation application to explore residents ́ willingness to pay for renewable energy, in a case study in the Italian Alps. Data originated from onsite personal interviews and were
analyzed with a Tobit model. Results show that respondents are willing to pay, on average, 5.1€ per month for a 100% of renewable energy supply, corresponding approximately to a 13% increase in the energy bill.
Among the factors positively affecting the answers, the personal knowledge about renewable energy plays a key role in predicting WTP, as well as income and the personal perception of future possible development
of hydropower plants. On the other hand, age and number of household components negatively affect WTP
In search of behavioural and social levers for effective social housing retrofit programs
Full text linkWorld café method to engage smart energy-district project partners in assessing urban co-benefits
Full text linkUrban energy-district projects introduce outstanding technological innovation in buildings and energy systems increasing sustainability in city neighborhoods. Such projects generate additional co-benefits for the city beyond changes in physical elements and development of social and institutional relationships (e.g. local employment, environmental quality, public health, property values, innovation attitude, etc.). Since exceeding main declared goals or not always clearly foreseen in the early project phase, these co-benefits are often not properly understood and considered. However, only their explicit recognition will make possible their inclusion in the assessment of the whole project’s performance. From these considerations, this study faces the issue of engaging project partners in assessing co-benefits in order to consider a broad spectrum of relevant, positive effects in the evaluation process. Group knowledge and group thinking of this complex topic are investigated through the world café method, providing an atmosphere of trust and open discussions among participants. This empirical work lays the foundations to go beyond the mere economic measure as the sole criterion for assessing project effects, also including changes in end-user behavior and intangible asset
The formulation of the National Forest Programme in the Czech Republic: A qualitative survey
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