Assessing the performance or the implications of climate change mitigation options (CCMOs) is instrumental in achieving research and innovation efficiency in the field of climate change and becomes more imperative considering the Paris Agreement (‘the Agreement’). Many climate scientists already believe that meeting the Agreement’s goals and stabilizing “well-below 2 °C above pre-industrial levels” signals the deployment of currently undetermined and contentious mitigation technologies, such as bio-energy with carbon capture and storage (BECCS). BECCS is considered one of the most promising negative emissions technologies (NETs) with many scenarios already exhibiting its mitigation potential. However, stakeholders and policymakers remain skeptical about widespread reliance on BECCS questioning its unproven credibility. In this article, we aim at identifying research priorities and assessment needs to intensify the further deployment of BECCS, considering relevant technology associations’ and platforms’ perspectives and insights raised by scientific literature. The main outcome of our study is a list of 10 research priorities along with more specific assessment needs for each priority area. We also focus attention on several implications for potential end-users involved in the field of policy and practice. Overall, our work seeks to bridge the gap between market/industry and academia and to assist policymakers to make better-informed decisions.

Solar Photovoltaics (PV) is considered a highly competitive technology supporting the transition towards a low-carbon energy system. However, increased shares of its deployment have caused a set of mainly regulatory and financial challenges which require solutions. This paper identifies key research challenges for the further development and deployment of Solar PV, aiming to bridge the gap between expressed market needs and scientific research inquiries. The findings revealed a heterogeneous landscape of Research Priorities and Research Needs focused around the issues of renewable energy sources’ variability, the impacts of curtailment, material (re-)use and module efficiency, synergies with the cooling/heating sector, quality criteria and standardisation, as well as new support schemes and business models. These findings can be taken up by academic institutions or technology associations to shape further directions for research. Finally, a list of implications to guide potential end-users involved in the field of policy and practice is provided.

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.

While European regions face a range of different climate hazards, little is known about how these differences affect local climate adaptation planning. We present an analytical framework for evaluating local climate adaptation plans (LCAPs) and apply it to 327 cities in 28 countries across different European regions. To do this, we use statistical methods to identify regional clusters based on overall plan quality, impacts, vulnerable population groups, and sectors addressed by LCAPs. By comparing both geographic and statistical clusters, we found (1) significant spatial heterogeneity across European cities but (2) higher average plan quality scores and more consistent strategies across cities in Central and Eastern Europe. Notably, we found no regional differences regarding (a) the climate impacts and vulnerable communities identified in plans: (b) the most commonly addressed impacts, which were urban temperature and changing precipitation patterns; and (c) the residents that cities identified as most vulnerable, namely older people, women, infants, and the sick. Our study provides a spatial analysis of European LCAPs to uncover regional policy perspectives on local climate adaptation issues. Such approaches can effectively inform broader EU, national and regional strategies that aim to support local adaptation planning in a context of multi-level governance.

The aim of this paper is to identify the financial impact imposed by cost containment measures and especially by the feed in tariff (FiT) reduction upon the profitability of different photovoltaic (PV) investments and the electricity charge faced by consumers. A fully parametric analysis is carried out by varying the following parameters: total installation costs based on their activation date, interest rate for a bank loan, use of a construction subsidy, tax imposition levels, the solidarity surcharge differentiated by the activation and the purchase agreement date and the issuance of credit invoice. During the simulations the simple payback period, the internal rate of return and the profitability index were calculated for the most common investment cases. These were identified through empirical observations on the deployment of PV stations. The profitability of PV stations connected to the medium voltage network were by far affected the most by the cutback while farmers’ PV stations and PV rooftop systems were comparatively less affected. Parameters such as the size of the station and the PV activation date were crucial for the assessment of the viability of PV stations. From a social perspective, the FiT cutback prevented an additional 40% increase in the electricity charge paid by electricity consumers.