A Light at the End of a Tunnel or a Freight Train? A Comparative Analysis of Energy Transition in Croatia and Serbia

Author(s):  
Jasminka Young
2021 ◽  
Vol 3 ◽  
Author(s):  
Simone W. Haarbosch ◽  
Maria Kaufmann ◽  
Sietske Veenman

In the Netherlands, one of the goals of the energy transition is to expand the energy neutrality of houses up to 1.5 million houses until 2030. Citizens are expected to play an important role in this process, but the implementation is hampering, as citizens do not take up this role, for example, installing solar panels. Policy documents tend to anticipate futures changes from an economic rationale, which tends to align more clearly with the anticipated futures of higher educated, financially wealthy households. So, in a broader perspective, it is unclear how the future desires and expectations of citizens are represented in policy. Often, policies focus on the implementation of best-practices, in contrast, this study investigated in the potential mismatches between futures of citizens and environmental policies. As (policy) narratives of the future are performative, excluding certain stakeholders' perceptions might lead to energy injustice and could jeopardize the implementation of the energy transition. Indeed, expectations and desires of citizens seem not to be considered as they are based on different rationales (e.g., clean, green, safe living environment). This paper aims to analyse the future “narrative mismatches” (Ottinger, 2017) in the context of the energy transition in the Netherlands. Therefore, we combine a futures perspective, which distinguishes between expected, desired, and strategic future; and an energy justice perspective as we want to analyse how different issues of energy justice are recognized in these future narratives. Our research question is “How do policy future narratives on energy relate to future narratives that are important to citizens' everyday life in the Netherlands?” A narrative approach had been chosen to conduct a comparative analysis between a set of policy documents and the narratives of 30 local citizens. We identified several future narrative mismatches, which can be distinguished in two main types: (1) opposing mismatches, where policy narratives and narratives of citizens anticipate antagonistic futures, and (2) disconnected mismatches, where the mismatch emerges because narratives do not engage with each other and focus on different issues. These mismatches of anticipated futures might create challenges for the implementation of the energy transition characterized by just decision-making and a fair distribution of burdens and benefits.


Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1019 ◽  
Author(s):  
Carlos Correa-Florez ◽  
Andrea Michiorri ◽  
Georges Kariniotakis

Active participation of end users in energy markets is identified as one of the major challenges in the energy transition context. One option to bridge the gap between customers and the market is aggregators of smart homes or buildings. This paper presents an optimization model from the standpoint of an aggregator of residential prosumers who have PV panels, electric water heaters, and batteries installed at home level. This aggregator participates in the day-ahead energy market to minimize operation costs by controlling the settings of flexible devices. Given that energy prices, PV production, and demand have uncertain behavior, appropriate models should be used to include these effects. In the present work, Adjustable Robust Optimization (ARO) is used to include uncertainty in the optimization model, and a comparative study of modifications to this formulation is carried out to determine its potential and limitations. The comparative analysis is performed from the point of view of average cost and risk, after performing Monte Carlo simulation. Simulations show the advantages of using an ARO framework when compared to deterministic approaches and also allow us to conclude about the advantages of using the proposed alternative formulation to find more attractive solutions for an aggregator.


2021 ◽  
pp. 1-15
Author(s):  
Nikos Dimitropoulos ◽  
Zoi Mylona ◽  
Vangelis Marinakis ◽  
Panagiotis Kapsalis ◽  
Nikolaos Sofias ◽  
...  

Energy communities can support the energy transition, by engaging citizens through collective energy actions and generate positive economic, social and environmental outcomes. Renewable Energy Sources (RES) are gaining increasing share in the electricity mix as the economy decarbonises, with Photovoltaic (PV) plants to becoming more efficient and affordable. By incorporating Artificial Intelligence (AI) techniques, innovative applications can be developed to provide added value to energy communities. In this context, the scope of this paper is to compare Machine Learning (ML) and Deep Learning (DL) algorithms for the prediction of short-term production in a solar plant under an energy cooperative operation. Three different cases are considered, based on the data used as inputs for forecasting purposes. Lagged inputs are used to assess the historical data needed, and the algorithms’ accuracy is tested for the next hour’s PV production forecast. The comparative analysis between the proposed algorithms demonstrates the most accurate algorithm in each case, depending on the available data. For the highest performing algorithm, its performance accuracy in further forecasting horizons (3 hours, 6 hours and 24 hours) is also tested.


Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3696 ◽  
Author(s):  
Youhyun Lee ◽  
Bomi Kim ◽  
Heeju Hwang

To explore the most desirable pathway for a successful local energy transition, a fuzzy-set qualitative comparative analysis was conducted on 16 regional cases in South Korea. We developed four propositions based on previous studies and theories as a causal set. Based on the South Korean context, we selected the solar photovoltaic (PV) generation and solar PV expansion rate as barometers for measuring the success of a local energy transition. Our analysis highlights the importance of the International Council for Local Environmental Initiatives (ICLEI) membership (network), local legislation, and the environmental surveillance of locally-based non-governmental organizations (NGOs). The implications of this study will provide insights for developing or newly industrialized countries where an energy transition is underway.


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