Towards Additional Policies to Improve the Environmental Performance of Buildings

This report supports EU policymaking on sustainable consumption and production (SCP) in the area of buildings, which were indentified as being particularly relevant for environmental improvements. While the objective of SCP policies is to address all the different types of environmental impacts in a balanced way, previous research by the JRC-IPTS (IMPRO-Buildings study) has shown that the energy consumption during the use phase of the buildings is by far the most important factor to take into account for the life cycle environmental impacts of buildings. Moreover, residential buildings are responsible for 27 % of final energy demand in the EU. The report reviews the barriers towards energy efficiency and the measures to overcome. It then compiles an overview over existing and planned EU policy instruments dealing with the environmental and energy performance of buildings, building elements and equipment. Finally, barriers, available measures and policy instruments are assessed against each other to find out what more could be done and to assess if there are additional policies to the existing ones that could lead to further improvements.JRC.J.2-Competitiveness and Sustainabilit

Towards Additional Policies to Improve the Environmental Performance of Buildings. Part II: Quantitative Assessment

This report supports EU policymaking on sustainable consumption and production (SCP) in the area of buildings, which were indentified as being particularly relevant for environmental improvements. Various policies exist or have been proposed at EU level to improve the energy efficiency and thus the environmental performance of buildings. However, these policies address mainly new buildings and major renovations of existing buildings. Previous research has shown that ¿ on top of the policies already in place ¿ there is the potential for additional policies to lead to further reductions in the environmental impacts. Improving the energy efficiency of certain building elements such as windows and roofs independently of major renovations of whole buildings was identified as potential main target of such additional policies. This report presents the quantitative assessment of the possible environmental and socio-economic effects of such policy measures. In particular, two types of measures addressing the energy efficiency of building elements are assessed: 1) requiring high energy efficiency standards (thermal insulation levels) when individual building elements have to be renovated, and 2) accelerating the retrofitting of individual building elements according to high energy efficiency standards. The results of the modelling show that additional policies could deliver further substantial savings of energy and greenhouse gas emissions and that the socio-economic benefits would outweigh the costs.JRC.J.6-Sustainable production and consumptio

Cost efficiency and economies of diversification of biogas-fuelled cogeneration plants in Austria: a nonparametric approach

This paper investigates the existence and the degree of economies of diversification for small-scaled, renewable-fuelled cogeneration systems using 2014 cross-sectional data from 67 Austrian biogas plants. In addition, cost efficiency of those biogas plants is estimated with a non-parametric linear programming technique, known as Data Envelopment Analysis. This is the first study applying the methodology proposed by Chavas and Kim (2010). Economies of diversification are decomposed into three additive parts: a part measuring complementarity among outputs; a part reflecting economies of scale; a part reflecting convexity. Furthermore, this paper extends the decomposition introduced by Chavas and Kim (2010) in such a way that the contribution of each input to economies of diversification and its components can be investigated. The results indicate substantial cost savings from diversification. For very-small scaled plants (250 kWel) positive complementarity and convexity effects are the main source of economies of diversification and outweigh the negative effect from scale diseconomies. In addition to substantial fuel/feedstock cost reductions, significant costs saving effects from the jointness in labour and other inputs positively contribute to the complementarity effect. While on average capital and labour costs positively contribute to economies of scale, feedstock costs work in the direction of diseconomies of scale

Cost efficiency and economies of diversification of biogas-fuelled cogeneration plants in Austria: a nonparametric approach

This paper investigates the existence and the degree of economies of diversification for small-scaled, renewable-fuelled cogeneration systems using 2014 cross-sectional data from 67 Austrian biogas plants. In addition, cost efficiency of those biogas plants is estimated with a non-parametric linear programming technique, known as Data Envelopment Analysis. This is the first study applying the methodology proposed by Chavas and Kim (2010). Economies of diversification are decomposed into three additive parts: a part measuring complementarity among outputs; a part reflecting economies of scale; a part reflecting convexity. Furthermore, this paper extends the decomposition introduced by Chavas and Kim (2010) in such a way that the contribution of each input to economies of diversification and its components can be investigated. The results indicate substantial cost savings from diversification. For very-small scaled plants (250 kWel) positive complementarity and convexity effects are the main source of economies of diversification and outweigh the negative effect from scale diseconomies. In addition to substantial fuel/feedstock cost reductions, significant costs saving effects from the jointness in labour and other inputs positively contribute to the complementarity effect. While on average capital and labour costs positively contribute to economies of scale, feedstock costs work in the direction of diseconomies of scale

Operant evaluative conditioning

A

Mechanisms underlying effects of approach-avoidance training on stimulus evaluation

Over the past decade an increasing number of studies across a range of domains have shown that the repeated performance of approach and avoidance (AA) actions in response to a stimulus leads to changes in the evaluation of that stimulus. The dominant (motivational-systems) account in this area claims that these effects are caused by a rewiring of mental associations between stimulus representations and AA systems that evolved to regulate distances to positive and negative stimuli. In contrast, two recently forwarded alternative accounts postulate that AA effects are caused by inferences about the valence of actions and stimuli (inferential account) or a transfer of valenced action codes to stimulus representations (common-coding account). Across four experiments we set out to test these three competing accounts against each other. Experiments 1-3 illustrate that changes in stimulus evaluations can occur when people perform valenced actions that bear no relation to a distance regulation, such as moving a manikin upward or downward. The observed evaluative effects were dependent on the evaluative implication of the instructed movement goal rather than whether the action implied a movement toward or away from the stimuli. These results could not be explained with a rewiring of associations to motivational systems. Experiment 4 showed that changes in stimulus evaluations occurred after participants passively observed approach-avoidance movements, supporting an explanation in terms of cognitive inferences

Evaluation of fluopyram for the control of Ditylenchus dipsaci in sugar beet

Fluopyram, a succinate dehydrogenase inhibitor fungicide, has shown potential in controlling Meloidogyne incognita and Rotylenchus reniformis in tomato. The effectiveness of this compound for the control of Ditylenchus dipsaci in sugar beet was evaluated. In this study, laboratory, growth chamber, glasshouse, and field experiments were conducted. In a motility bioassay, the EC50 value was determined with 3.00 μg/ml a.i. after 72 h exposure to fluopyram. The growth chamber experiment did not show any effects on D. dipsaci penetration rate; however, field experiments revealed a positive effect of fluopyram applied at planting in reducing D. dipsaci infectivity. The glasshouse experiment confirmed a limited effect of fluopyram on D. dipsaci population development. Under field conditions, despite a reduction of D. dipsaci penetration rates in spring, fluopyram was not effective in reducing the population development until harvest. Consequently, D. dipsaci densities in plant tissue and soil were high at harvest and not different among treatments. However, root-rot symptoms were significantly reduced at harvest. Fluopyram applied at planting showed good potential to reduce root-rot symptoms caused by D. dipsaci in sugar beet. However, for the long-term reduction of nematode populations in soil, further integrated control measures are needed to reduce the risks of substantial yield losses by D. dipsaci

Magnetic flutter effect on validated edge turbulence simulations

Small magnetic fluctuations ($B_1/B_0 \sim 10^{-4}$) are intrinsically present in a magnetic confinement plasma due to turbulent currents. While the perpendicular transport of particles and heat is typically dominated by fluctuations of the electric field, the parallel stream of plasma is affected by fluttering magnetic field lines. In particular through electrons, this indirectly impacts the turbulence dynamics. Even in low beta conditions, we find that $E\times B$ turbulent transport can be reduced by more than a factor 2 when magnetic flutter is included in our validated edge turbulence simulations of L-mode ASDEX Upgrade. The primary reason for this is the stabilization of drift-Alfv\'en-waves, which reduces the phase shifts of density and temperature fluctuations with respect to potential fluctuations. This stabilization can be qualitatively explained by linear analytical theory, and appreciably reinforced by the flutter nonlinearity. As a secondary effect, the steeper temperature gradients and thus higher $\eta_i$ increase the impact of the ion-temperature-gradient mode on overall turbulent transport. With increasing beta, the stabilizing effect on $E\times B$ turbulence increases, balancing the destabilization by induction, until direct electromagnetic perpendicular transport is triggered. We conclude that including flutter is crucial for predictive edge turbulence simulations