Climate-related Energy Research Articles

Climate policy costs of spatially unbalanced growth in electricity demand: the case of datacentres in Ireland

ABSTRACT We investigate the power system and climate policy implications of the anticipated expansion in electricity demand from datacentres. We perform a joint optimization of Generation and Transmission Expansion Planning for the island of Ireland considering uncertainty in future datacentre growth under various climate policies. Datacentre expansion imposes significant extra costs on the power system. A renewable energy target is more costly than a technology-neutral carbon reduction policy due to the restriction to invest solely in renewable energy, and the divergence in costs increases non-linearly in electricity demand. A carbon reduction policy is more robust to uncertainties in projected demand than a renewable policy. The increased demand from datacentres, which is relatively constant, is best matched by a power supply with constant output, generally fossil-fuelled power plants, potentially in combination with carbon capture and sequestration technology, than variable supply. Datacentre demand increases power system costs by 6% under a carbon reduction policy, and by 9% to 15% under renewable energy targets. However, the abatement cost of carbon under renewable targets decreases at higher levels of demand, while the opposite is true for the abatement cost under technology-neutral targets. High renewable targets crowd out other low-carbon options, namely CCS, leading to a higher cost solution for the same reduction in emissions, although this result is sensitive to increases in fossil fuel prices. The results suggest that climate-related energy policy should focus on technology-neutral carbon reduction policies. The climate impacts of datacentres on energy demand and thus supply requirements should also feature in climate and energy policy discussions.

Inspection of Biomimicry Approaches as an Alternative to Address Climate-Related Energy Building Challenges: A Framework for Application in Panama.

In the Panama context, energy consumption in the building sector is mostly related to the conditioning of indoor spaces for cooling and lighting. Different nature strategies can be mimic to strongly impact these two aspects in the building sector, such as the ones presented here. A comprehensive analysis regarding literature related to biomimicry-based approaches destined to improve buildings designs is presented here. This analysis is driven by the increasing energy regulations demands to meet future local goals and to propose a framework for applications in Panama. Such biomimicry-based approaches have been further analyzed and evaluated to propose the incorporation of organism-based design for three of the most climate types found in Panama. Consequently, a SWOT analysis helped realized the potential that biomimicry-based approaches might have in improving the odds of in meeting the local and global regulations demands. The need for multidisciplinary collaboration to accomplish biomimicry-based-designed buildings, brings an increment in the competitivity regarding more trained human-assets, widening the standard-construction-sector thinking. Finally, the analysis presented here can serve as the foundation for further technical assessment, via numerical and experimental means.

Optimal mix of climate-related energy in global electricity systems

Abstract Existing studies on high renewable share electricity systems are usually based on least cost optimization. Running the related models can be time-consuming when space-time resolution is high. This study investigates the optimal mix of climate-related energies for most countries in the world with optimization models based on three criteria: cost, residual load variability, and portfolio output variability. The objectives of minimizing residual load variability and portfolio output variability are to ensure the overall complementarity of the generation portfolio, which may result in less conventional dispatchable units needed in a system. Compromise solutions based on the three objectives are proposed as the optimal mix. This method can produce solutions in acceptable modelling time, and considers the portfolio output characteristics which can make higher climate-related energy penetration more practical. The results show that the compromise solutions can effectively minimize the three objective values in most countries. The results also suggest that wind power is crucial in higher renewable share systems while solar power does not reach over 50% capacity share.

Impacts of climate change policies worldwide on the Russian economy

ABSTRACT Because the Russian economy relies heavily on exports of fossil fuels, the primary source of human-induced greenhouse gas (GHG) emissions, it may be adversely impacted by Paris Agreement-based climate policies that target reductions in GHG emissions. Applying the MIT Economic Projection and Policy Analysis (EPPA) model to assess the impacts on the Russian economy of the efforts of the main importers of Russian fossil fuels to follow the global goals of the Paris Agreement, we project that climate-related actions outside of Russia will lower the country's GDP growth rate by about one-half of a percentage point. The Paris Agreement is also expected to raise Russia's risks of facing market barriers for its exports of energy-intensive goods, and of falling behind in the development of low-carbon energy technologies that most of the world is increasingly adopting. Key policy insights Regardless of its domestic emissions reduction efforts, Russia will not be able to sustain its current trajectory of fossil fuel export-based development due to climate policies worldwide. To address the challenge of climate-related energy transition, Russia needs a new comprehensive development strategy that accounts for the post-Paris Agreement global energy landscape. The key elements of such a strategy include diversification of the economy, moving to low-carbon energy sources, and investing in human capital development. Our diversification scenarios show that redistribution of income from the energy sector to the development of human capital would benefit the economy. The largest impact of investment re-orientation from the fossil fuel sector would be on manufacturing, services, agriculture and food production.

The influence of the energy transition on the significance of key energy metrics

Transparent, consistent accounting of climate-related energy targets is a fundamental building block to the architecture of international climate agreements. Many of these climate targets focus on the transition of the energy system which has led to the development of various energy transition scenarios. Now that fossil resources are being replaced by non-combustible and renewable energy sources a re-assessment of the applicability of the current set of metrics on which these energy scenarios are based is necessary.Now that energy derived from renewable and non-combustible resources with abundant availability but limited instantaneous availability becomes more prominent the ongoing electrification of the energy system combined with the decarbonisation of the electricity system has caused the current set of energy scenario metrics to become ambiguous. More specifically we show that Total Primary Energy (TPE) and its related indicators, Energy Efficiency (EE), Energy Intensity (EI) as well as the key metric Electricity Generation Capacity (EGC) have become unrepresentative, potentially misleading and for a large part irrelevant. This is problematic as these metrics steer climate policy and investment decisions based on statistical artefacts rather than valid representation of the energy system. This study concludes with a set of requirements on energy scenarios to overcome these problems that will lead energy scenarios to focus on Total Final Consumption within a mix of related energy metrics.

Influence of winter North-Atlantic Oscillation on Climate-Related-Energy penetration in Europe

When considering 100% renewable scenarios, backup generation is needed for stabilizing the network when Climate Related Energy (CRE) such as wind, solar or run-of-the river hydropower are not sufficient for supplying the load. Several studies show that, over relatively short time period (less than 10 years), backup generation needs are reduced by dissipating power densities either in space through grids or time through storage. This study looks at the impact of low time frequency variations of CRE with a specific focus on the time variability induced by the North Atlantic Oscillation (NAO) teleconnection pattern during winter season. A set of eleven regions in Europe and Tunisia is used for highlighting space variability of the winter NAO’s impact. For each of these regions, we combine data from the Weather Research and Forecasting Model and the European Climate Assessment & Dataset for estimating solar-power, wind-power, run-of-the-river hydro-power and the energy load over the 1980–2012 time period. Results show that NAO’s impact on winter penetration rate depends on both the considered energy source and the location. They also highlight a non-linear relation between the NAO’s impact on CRE penetration rates and the level of equipment used for harvesting the CRE sources.

An indicator framework for assessing US state carbon emissions reduction efforts (with baseline trends from 1990 to 2001)

Abstract States are at the forefront of climate-related energy policy in the US, developing innovative policy and regional institutions for reducing carbon dioxide and other greenhouse gases. States matter because the larger ones use more energy and produce more carbon emissions than most nations and because their policies, though heterogeneous and until recently quite limited in scope, are shaping the context for national climate action. Despite this significance, little is known about trends in state carbon emissions or the effectiveness of state policies in reducing emissions. This paper describes a framework for analyzing and comparing state carbon emissions performance using sectoral indicators of emissions, energy consumption and carbon intensity linked to key policy domains. The paper also describes the range of state experience across indicators during the period 1990–2001, establishing a baseline of leading, lagging and average experience against which future state and regional change can be assessed. The conceptual framework and the empirical analysis of emission trends are intended to provide a better understanding of, and means for monitoring, state contributions toward achieving energy system sustainability.

Energy productivity improvements and the rebound effect: An overview of the state of knowledge

The ‘rebound effect’ from more efficient use of energy has been well investigated, with plenty of evidence suggesting that the ‘direct’ rebound effect is relatively small for most energy services—typically less than 30%. However, the same conclusion may not apply to ‘indirect’ and ‘economy-wide’ rebound effects. Here, several authors suggest that improved energy efficiency may increase energy consumption in the medium to long term, a view that undermines the rationale for energy efficiency as an instrument of climate-related energy policy and has been ardently debated. One of the main reasons behind the debate is the lack of a rigorous theoretical framework that can describe the mechanisms and consequences of the rebound effect at the macro-economic level. Proponents of the rebound effect point to ‘suggestive’ evidence from a variety of areas including economic history, econometric measurements of productivity and macro-economic modelling. This evidence base is relatively small, highly technical, lacks transparency, rests upon contested theoretical assumptions and is inconclusive. This paper provides an accessible summary of the state of knowledge on this issue and shows how separate areas of research can provide relevant insights: namely neoclassical models of economic growth, computable general equilibrium (CGE) modelling and alternative models for policy evaluation. The paper provides a synopsis of how each approach may be used to explain, model and estimate the macro-economic rebound effect, criticisms that have been suggested against each, and explanations for diversity in quantitative estimates. Conclusions suggest that the importance of the macro-economic rebound effect should not be underestimated.