Financing Innovations for the Renewable Energy Transition in Europe

Bointner, Raphael; Pezzutto, Simon; Grilli, Gianluca; Sparber, Wolfram

doi:10.3390/en9120990

Cited by 46 publications

(31 citation statements)

References 22 publications

(31 reference statements)

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“…Recent studies that are related to the demand and supply of oil in Europe include scenarios concerned with public energy research, development expenditures, financing energy innovation in Europe (see Bointner, Pezzutto, and Sparber [41], and financing innovations for renewable energy transition in Europe (see Bointner et al [42]).…”

Section: Methodsmentioning

confidence: 99%

Modeling the Relationship between Crude Oil and Agricultural Commodity Prices

et al. 2019

Energies

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The food-energy nexus has attracted great attention from policymakers, practitioners, and academia since the food price crisis during the 2007–2008 Global Financial Crisis (GFC), and new policies that aim to increase ethanol production. This paper incorporates aggregate demand and alternative oil shocks to investigate the causal relationship between agricultural products and oil markets. For the period January 2000–July 2018, monthly spot prices of 15 commodities are examined, including Brent crude oil, biofuel-related agricultural commodities, and other agricultural commodities. The sample is divided into three sub-periods, namely: (i) January 2000–July 2006, (ii) August 2006–April 2013, and (iii) May 2013–July 2018. The structural vector autoregressive (SVAR) model, impulse response functions, and variance decomposition technique are used to examine how the shocks to agricultural markets contribute to the variance of crude oil prices. The empirical findings from the paper indicate that not every oil shock contributes the same to agricultural price fluctuations, and similarly for the effects of aggregate demand shocks on the agricultural market. These results show that the crude oil market plays a major role in explaining fluctuations in the prices and associated volatility of agricultural commodities.

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Section: Methodsmentioning

confidence: 99%

Modeling the Relationship between Crude Oil and Agricultural Commodity Prices

et al. 2019

Energies

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“…The largest parts of energy utilization within the EU building stock (~75% in total), according to an order of magnitude, occur for space heating (SH), domestic hot water (DHW), and space cooling (SC) [11]. In the past three decades, EU MS invested massively in assessing the energy used by the different sectors [12][13][14][15][16][17]. In contrast to SC, the SH and DHW field is well researched in the scientific literature since more than two decades apart [7,18].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Space Heating and Domestic Hot Water Market in Europe—Open Data and Results

et al. 2019

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The paper investigates the European space heating (SH) and domestic hot water (DHW) market in order to close knowledge gaps concerning its size. The stimulus for this research arises from incongruences found in SH and DHW market’s data in spite of over two decades of scientific research. The given investigation has been carried out in the framework of the Hotmaps project (Horizon 2020—H2020), which aims at designing an open source toolbox to support urban planners, energy agencies, and public authorities in heating and cooling (H&C) planning on country, regional, and local levels. Our research collects and analyzes SH and DHW market data in the European Union (EU), specifically the amount of operative units, installed capacities, energy efficiency coefficients as well as equivalent full-load hours per equipment type and country, with a bottom-up approach. The analysis indicates that SH and DHW account for a significant portion of the total EU energy utilization (more than 20%), amounting to almost 3900 TWh/y. At the same time, the energy consumption provided by district heating (DH) systems exceeds the one of condensing boilers. While DH systems applications are growing throughout the EU, the replacement of elderly, conventional boilers progresses at a slower pace.

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“…In this regard, it seems obvious to consider the diversity of these countries. One of the main factors influencing the pace of introduced changes in the field of technological innovation will be the amount of public expenditure allocated for research and development [39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Analyzing Similarities between the European Union Countries in Terms of the Structure and Volume of Energy Production from Renewable Energy Sources

2020

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The European Union (EU) countries, as one of the most economically developed regions in the world, are taking increasingly decisive actions to reduce the emission of harmful substances into the natural environment. This can be exemplified by a new climate strategy referred to as “The European Green Deal”. Its basic assumption is that the EU countries will have achieved climate neutrality by 2050. To do so, it is necessary to make an energy transition involving the widest possible use of renewable energy sources (RES) for energy production. However, activities in this area should be preceded by analyses due to the large diversity of the EU countries in terms of economic development, the number of inhabitants and their wealth as well as geographical location and area. The results of such analyses should support the implementation of adopted strategies. In order to assess the current state of the energy sector in the EU and indicate future directions of activities, research was carried out to analyze the structure and volume of energy production from RES in the EU countries. The aim of the study was to divide the EU countries into similar groups by the structure and volume of energy production from RES. This production was compared with the number of inhabitants of each EU country, its area and the value of Gross Domestic Product (GDP). This approach allows a new and broader view of the structure of energy production from RES and creates an opportunity to take into account additional factors when developing and implementing new climate strategies. The k-means algorithm was used for the analysis. The presented analyses and obtained results constitute a new approach to studying the diversified energy market in the EU. The results should be used for the development of a common energy and climate policy and economic integration of the EU countries.

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Financing Innovations for the Renewable Energy Transition in Europe

Cited by 46 publications

References 22 publications

Modeling the Relationship between Crude Oil and Agricultural Commodity Prices

Modeling the Relationship between Crude Oil and Agricultural Commodity Prices

Assessment of the Space Heating and Domestic Hot Water Market in Europe—Open Data and Results

Analyzing Similarities between the European Union Countries in Terms of the Structure and Volume of Energy Production from Renewable Energy Sources

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