Evaluating consistency in environmental policy mixes through policy, stakeholder, and contextual interactions

This paper introduces a method to analyse and explore consistency within policy mixes in order to support the policymaking cycle and applies it to energy and climate change policies in the United Kingdom (UK) biofuels policy context. The first part of the paper introduces a multi-level method to evaluate consistency within policy mixes implemented over a period of time. The first level explores consistency across policy design features in policy mixes. The second level evaluates how stakeholders, and their interactions with policy instruments and each other, can impact consistency within a given context. These interactions influence the implementation of policies and can lead to unintended outcomes that fail to meet the overarching goals. In the second part of the paper, we apply our method to the UK biofuels policy mix, to explore a sector that cuts across the policy areas of transportation, energy, land-use, air, and climate change. Our analysis demonstrates how, by overlooking complex interactions in the design and implementation of policies in the biofuels sector, policy mixes have conflicted with the development of a potential low-carbon technology

Exploiting the Temporal Logic Hierarchy and the Non-Confluence Property for Efficient LTL Synthesis

The classic approaches to synthesize a reactive system from a linear temporal logic (LTL) specification first translate the given LTL formula to an equivalent omega-automaton and then compute a winning strategy for the corresponding omega-regular game. To this end, the obtained omega-automata have to be (pseudo)-determinized where typically a variant of Safra's determinization procedure is used. In this paper, we show that this determinization step can be significantly improved for tool implementations by replacing Safra's determinization by simpler determinization procedures. In particular, we exploit (1) the temporal logic hierarchy that corresponds to the well-known automata hierarchy consisting of safety, liveness, Buechi, and co-Buechi automata as well as their boolean closures, (2) the non-confluence property of omega-automata that result from certain translations of LTL formulas, and (3) symbolic implementations of determinization procedures for the Rabin-Scott and the Miyano-Hayashi breakpoint construction. In particular, we present convincing experimental results that demonstrate the practical applicability of our new synthesis procedure

Integrating plus energy buildings and districts with the eu energy community framework:Regulatory opportunities, barriers and technological solutions

The aim of this paper is to assess opportunities the Clean Energy Package provides for Plus Energy Buildings (PEBs) and Plus Energy Districts (PEDs) regarding their economic optimization and market integration, possibly leading to new use cases and revenue streams. At the same time, insights into regulatory limitations at the national level in transposing the set of EU Clean Energy Package provisions are shown. The paper illustrates that the concepts of PEBs and PEDs are in principle compatible with the EU energy community concepts, as they relate to technical characteristics while energy communities provide a legal and regulatory framework for the organization and governance of a community, at the same time providing new regulatory space for specific activities and market integration. To realize new use cases, innovative ICT approaches are needed for a range of actors actively involved in creating and operating energy communities as presented in the paper. The paper discusses a range of different options to realize PEBs and PEDs as energy communities based on the H2020 EXCESS project. It concludes, however, that currently the transposition of the Clean Energy Package by the EU Member States is incomplete and limiting and as a consequence, in the short term, the full potential of PEBs and PEDs cannot be exploited

State of the art and latest advances in exploring business models for nature-based solutions

Nature-based solutions (NBS) offer multiple solutions to urban challenges simultaneously, but realising funding for NBS remains a challenge. When the concept of NBS for societal challenges was first defined by the EC in 2017, financing was recognised as one of the major challenges to its mainstreaming. The complexity of NBS finance has its origin in the multiple benefits/stakeholders involved, which obscures the argument for both public and private sector investment. Since 2017, subsequent waves of EU research-and innovation-funded projects have substantially contributed to the knowledge base of funding and business models for NBS, particularly in the urban context. Collaborating and sharing knowledge through an EU Task Force, this first set of EU projects laid important knowledge foundations, reviewing existing literature, and compiling empirical evidence of different financing approaches and the business models that underpinned them. The second set of EU innovation actions advanced this knowledge base, developing and testing new implementation models, business model tools, and approaches. This paper presents the findings of these projects from a business model perspective to improve our understanding of the value propositions of NBS to support their mainstreaming

Integrating Plus Energy Buildings and Districts with the EU Energy Community Framework: Regulatory Opportunities, Barriers and Technological Solutions

The aim of this paper is to assess opportunities the Clean Energy Package provides for Plus Energy Buildings (PEBs) and Plus Energy Districts (PEDs) regarding their economic optimization and market integration, possibly leading to new use cases and revenue streams. At the same time, insights into regulatory limitations at the national level in transposing the set of EU Clean Energy Package provisions are shown. The paper illustrates that the concepts of PEBs and PEDs are in principle compatible with the EU energy community concepts, as they relate to technical characteristics while energy communities provide a legal and regulatory framework for the organization and governance of a community, at the same time providing new regulatory space for specific activities and market integration. To realize new use cases, innovative ICT approaches are needed for a range of actors actively involved in creating and operating energy communities as presented in the paper. The paper discusses a range of different options to realize PEBs and PEDs as energy communities based on the H2020 EXCESS project. It concludes, however, that currently the transposition of the Clean Energy Package by the EU Member States is incomplete and limiting and as a consequence, in the short term, the full potential of PEBs and PEDs cannot be exploited

New Market-Based Mechanisms Post-2012: Institutional Options and Governance Challenges When Establishing a Sectoral Crediting Mechanism

The Cancun Agreements in December 2010 have set the basis for the continuing availability of market mechanisms to assist developed countries in meeting their mitigation commitments in a post-2010 climate regime. They provide that the introduction of new Market Based Mechanisms ("NMMs") will be examined at the next COP in Durban. NMMs refer, in particular, to sector based crediting. There is not yet sufficient consensus on how new market mechanisms could be governed and which role the United Nations ("UN") should play. While some countries including Japan and Australia favour more decentralized governance models with only minimum criteria defined by the UN and a strong role for bilateral cooperation, the EU still has a preference for more centralized UN based governance. This paper gives an overview of current country positions, discusses pro and cons of different accounting and governance frameworks for NNMs, and examines inasmuch the Clean Development Mechanism ("CDM") provides a suitable model for centrally governed sectoral crediting mechanisms. It concludes that even if decentralized approaches also have their strengths compared to centralized governance models, minimum requirements need to be agreed upon under the UN to guarantee the environmental integrity of the mechanism

The influence of Emissions Trading Schemes on bioenergy use

A growing number of countries are implementing greenhouse gas (GHG) emissions trading schemes. As these schemes impose a cost for GHG emissions they should increase the competitiveness of low carbon fuels. Bioenergy from biomass is regarded as carbon neutral in most of the schemes, therefore incurring no emission costs. Emissions trading schemes may therefore encourage increased use of biomass for energy, and under certain conditions may also incentivize the construction of new bioenergy plants. This paper first identifies design elements in emissions trading schemes that influence the use of biomass. It then discusses the experiences with the EU-ETS so far and compares the design elements of the EU-ETS with different existing and emerging trading schemes in the US, Australia and New Zealand, with focus on factors that may influence the use of biomass. Furthermore, the paper analyses how incentives for bioenergy change as the price of carbon changes and which trade offs may have to be considered, if emissions trading schemes are linked

Mixture models reveal multiple positional bias types in RNA-Seq data and lead to accurate transcript concentration estimates.

Accuracy of transcript quantification with RNA-Seq is negatively affected by positional fragment bias. This article introduces Mix2 (rd. "mixquare"), a transcript quantification method which uses a mixture of probability distributions to model and thereby neutralize the effects of positional fragment bias. The parameters of Mix2 are trained by Expectation Maximization resulting in simultaneous transcript abundance and bias estimates. We compare Mix2 to Cufflinks, RSEM, eXpress and PennSeq; state-of-the-art quantification methods implementing some form of bias correction. On four synthetic biases we show that the accuracy of Mix2 overall exceeds the accuracy of the other methods and that its bias estimates converge to the correct solution. We further evaluate Mix2 on real RNA-Seq data from the Microarray and Sequencing Quality Control (MAQC, SEQC) Consortia. On MAQC data, Mix2 achieves improved correlation to qPCR measurements with a relative increase in R2 between 4% and 50%. Mix2 also yields repeatable concentration estimates across technical replicates with a relative increase in R2 between 8% and 47% and reduced standard deviation across the full concentration range. We further observe more accurate detection of differential expression with a relative increase in true positives between 74% and 378% for 5% false positives. In addition, Mix2 reveals 5 dominant biases in MAQC data deviating from the common assumption of a uniform fragment distribution. On SEQC data, Mix2 yields higher consistency between measured and predicted concentration ratios. A relative error of 20% or less is obtained for 51% of transcripts by Mix2, 40% of transcripts by Cufflinks and RSEM and 30% by eXpress. Titration order consistency is correct for 47% of transcripts for Mix2, 41% for Cufflinks and RSEM and 34% for eXpress. We, further, observe improved repeatability across laboratory sites with a relative increase in R2 between 8% and 44% and reduced standard deviation