Climate Change and the Energy Sector

2015 ◽  
Author(s):  
Alberto Ansuategi
Keyword(s):  
Climate Change ◽  
Energy Sector

How Modelling Tools Can Support Climate Change Policy: The Case of Costa Rica in the Energy Sector

2020 ◽  
Author(s):  
Guido Godínez-Zamora ◽  
Luis Victor-Gallardo ◽  
Jam Angulo-Paniagua ◽  
Eunice Ramos ◽  
Mark Howells ◽  
...  
Keyword(s):  
Climate Change ◽  
Costa Rica ◽  
Climate Change Policy ◽  
Energy Sector ◽  
Change Policy

scholarly journals Tackling the Risk of Stranded Electricity Assets with Machine Learning and Artificial Intelligence

2021 ◽  
Author(s):  
Joseph Nyangon
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Carbon Budget ◽  
Energy Sector ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Legal Challenges ◽  
Nationally Determined Contributions ◽  
Implementation Level

The Paris Agreement on climate change requires nations to keep the global temperature within the 2°C carbon budget. Achieving this temperature target means stranding more than 80% of all proven fossil energy reserves as well as resulting in investments in such resources becoming stranded assets. At the implementation level, governments are experiencing technical, economic, and legal challenges in transitioning their economies to meet the 2°C temperature commitment through the nationally determined contributions (NDCs), let alone striving for the 1.5°C carbon budget, which translates into greenhouse gas emissions (GHG) gap. This chapter focuses on tackling the risks of stranded electricity assets using machine learning and artificial intelligence technologies. Stranded assets are not new in the energy sector; the physical impacts of climate change and the transition to a low-carbon economy have generally rendered redundant or obsolete electricity generation and storage assets. Low-carbon electricity systems, which come in variable and controllable forms, are essential to mitigating climate change. These systems present distinct opportunities for machine learning and artificial intelligence-powered techniques. This chapter considers the background to these issues. It discusses the asset stranding discourse and its implications to the energy sector and related infrastructure. The chapter concludes by outlining an interdisciplinary research agenda for mitigating the risks of stranded assets in electricity investments.

Determination of seasonal forecast skill in identifying extreme events of temperature, wind speed, and SPI

2021 ◽  
Author(s):  
Massimiliano Palma ◽  
Franco Catalano ◽  
Irene Cionni ◽  
Marcello Petitta
Keyword(s):  
Climate Change ◽  
Wind Speed ◽  
Climate Variability ◽  
Extreme Events ◽  
Bias Correction ◽  
Skill Score ◽  
Seasonal Forecast ◽  
Energy Sector ◽  
Seasonal Forecasts ◽  
Weather Forecasts

<p>Renewable energy is the fastest-growing source of electricity globally, but climate variability and impacting events affecting the potential productivity of plants are obstacles to its integration and planning. Knowing a few months in advance the productivity of plants and the impact of extreme events on productivity and infrastructure can help operators and policymakers make the energy sector more resilient to climate variability, promoting the deployment of renewable energy while maintaining energy security.</p><p>The energy sector already uses weather forecasts up to 15 days for plant management; beyond this time horizon, climatologies are routinely used. This approach has inherent weaknesses, including the inability to predict extreme events, the prediction of which is extremely useful to decision-makers. Information on seasonal climate variability obtained through climate forecasts can be of considerable benefit in decision-making processes. The Climate Data Store of the Copernicus Climate Change Service (C3S) provides seasonal forecasts and a common period of retrospective simulations (hindcasts) with equal spatial temporal resolution for simulations from 5 European forecast centres (European Centre for Medium-Range Weather Forecasts (ECMWF), Deutscher Wetterdienst (DWD), Meteo France (MF), UK Met Office (UKMO) and Euro-Mediterranean Centre on Climate Change (CMCC)), one US forecasting centre (NCEP) plus the Japan Meteorological Agency (JMA) model.</p><p>In this work, we analyse the skill and the accuracy of a subset of the operational seasonal forecasts provided by Copernicus C3S, focusing on three relevant essential climate variables for the energy sector: temperature (t2m), wind speed (sfcWind, relevant to the wind energy production), and precipitation. The latter has been analysed by taking the Standard Precipitation Index (SPI) into account.</p><p>First, the methodologies for bias correction have been defined. Subsequently, the reliability of the forecasts has been assessed using appropriate reliability indicators based on comparison with ERA5 reanalysis dataset. The hindcasts cover the period 1993-2017. For each of the variables considered, we evaluated the seasonal averages based on monthly means for two seasons: winter (DJF) and summer (JJA). Data have been bias corrected following two methodologies, one based on the application of a variance inflation technique to ensure the correction of the bias and the correspondence of variance between forecast and observation; the other based on the correction of the bias, the overall forecast variance and the ensemble spread as described in Doblas-Reyes et al. (2005).</p><p>Predictive ability has been assessed by calculating binary (Brier Skill Score, BSS hereafter, and Ranked Probability Skill Score, RPSS hereafter) and continuous (Continuous Ranked Probability Skill Score, CRPSS hereafter) scores. Forecast performance has been assessed using ERA 5 reanalysis as pseudo-observations. </p><p>In this work we discuss the results obtained with different bias correction techniques highlighting the outcomes obtained analyzing the BSS for the first and the last terciles and the first and the last percentiles (10th and 90th). This analysis has the goal to identify the regions in which the seasonal forecast can be used to identify potential extreme events.</p>

La complessitŕ dei mercati energetici e la necessitŕ di una regolazione multilivello

2009 ◽  
pp. 121-152
Author(s):  
Giuseppe Franco Ferrari
Keyword(s):  
Climate Change ◽  
European Union ◽  
Sustainable Development ◽  
Local Level ◽  
National Level ◽  
Energy Sector ◽  
Energy Markets ◽  
Multilevel Governance ◽  
Energy Market ◽  
The European Union

- The energy markets are very complex, because, on the one hand, they imply several different activities and, on the other hand, they involve various levels of govern- 183 ment. The energy market is divided indeed in different segments: supply (generation or purchasing), transmission, distribution and sale, which are allocated at different levels of government, from the international and European level (with reference to the security of energy supply), to the local level (with specific regard to the distribution and sale). This complexity makes the energy sector particularly critical, under the pressure of political interests and economical needs. Another sensitive point is linked with the environmental protection, since the consumption of energy is one of the most polluting human activities, and the demand of energy is growing up together with the economical growth of the developing Countries. This problem is increasingly discussed at the international level, with reference to the climate change issue, in order to plan a sustainable development for the whole globe: because of it, the Kyoto Protocol was issued within the United Nation Framework Convention on Climate Change. It establishes legally binding commitments for the reduction of four greenhouse gases for all the 183 ratifying Countries, according the principle of common but differentiated responsibilities, and provides for the promotion of renewable energy. The European Union ratified the Protocol implementing the relative obligations through, for instance, the creation of the EU Emissions Trading Scheme (ETS). The European Union most of all addressed the competitive issue, since the 70s, in order to achieve the result to create a free energy market in Europe. The last results of the European energy policy were the directives on electricity and natural gas in 2004, that imposed the complete opening of the energy markets in almost all the European Countries (with few exceptions). The implementation of the European directives requires the intervention of the national level, since each Country has to modify its own regulatory framework, in order to comply with the directives. Everywhere in Europe, this process faces with several difficulties, but it is particularly hard in Italy, since the energy sector is traditionally public owned. Indeed, in our Country, the privatization and liberalization processes are strictly linked to another trend: the decentralization of legislative and administrative powers from the State to the Regions and Local Communities. Thus it is evident that the global governance of the energy sector, for its complexity and its sensibility, can only derive from a network of interventions by several levels of government, and different international, national and local actors, which realize a typical case of multilevel governance.Key words: Energy markets, competition, sustainable development, multilevel governance.JEL classifications: K21, K23.Parole chiave: Mercato energetico, concorrenza, sviluppo sostenibile, multilevel Governance.

Induced Technical Change in Energy and Environmental Modeling: Analytic Approaches and Policy Implications

2002 ◽  
Vol 27 (1) ◽  
pp. 271-308 ◽  
Author(s):  
Michael Grubb ◽  
Jonathan Köhler ◽  
Dennis Anderson
Keyword(s):  
Climate Change ◽  
Technical Change ◽  
Energy Sector ◽  
Learning By Doing ◽  
Environmental Modeling ◽  
Policy Implications ◽  
Marginal Costs ◽  
Technological Diversity ◽  
Energy Economy ◽  
Induced Technical Change

▪ Abstract  Technical change in the energy sector is central for addressing long-term environmental issues, including climate change. Most models of energy, economy, and the environment (E3 models) use exogenous assumptions for this. This is an important weakness. We show that there is strong evidence that technical change in the energy sector is to an important degree induced by market circumstances and expectations and, by implication, by environmental policies such as CO2 abatement. We classify the main approaches to modeling such induced technical change and review results with particular reference to climate change. Among models with learning by doing, weak responses are only obtained from models that are highly aggregated (lack technological diversity) and/or that equate rates of return to innovation across sectors. Induced technical change broadens the scope of efficient policies toward mitigation, including not just research and development and aggregated market instruments but a range of sectoral-based policies potentially at divergent marginal costs. Furthermore, to the extent that cleaner technologies induced by mitigation diffuse globally, a positive spillover will result that will tend to offset the substitution-based negative spillover usually hypothesized to result from the migration of polluting industries. Initial explorations suggest that this effect could also be very large.

Climate change impacts, vulnerability and adaptive capacity of the electrical energy sector in Cyprus

2015 ◽  
Vol 16 (7) ◽  
pp. 1891-1904 ◽  
Author(s):  
Christos Giannakopoulos ◽  
Basilis Psiloglou ◽  
Giannis Lemesios ◽  
Dimitris Xevgenos ◽  
Christina Papadaskalopoulou ◽  
...  
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Climate Change Impacts ◽  
Electrical Energy ◽  
Energy Sector

A case study of climate variability effects on wind resources in South Africa

2014 ◽  
Vol 25 (3) ◽  
pp. 2-10 ◽  
Author(s):  
Lynette Herbst ◽  
Jörg Lalk
Keyword(s):  
Climate Change ◽  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Wind Power ◽  
Energy Production ◽  
Energy Sector ◽  
Speed Increase ◽  
Wind Resources ◽  
Wind Speed Increase

The wind energy sector is one of the most prominent sectors of the renewable energy industry. However, its dependence on meteorological factors subjects it to climate change. Studies analysing the impact of climate change on wind resources usually only model changes in wind speed. Two elements that have to be calculated in addition to wind speed changes are Annual Energy Production (AEP) and Power Density (PD). This is not only because of the inherent variability between wind speed and wind power generated, but also because of the relative magnitudes of change in energy potentially generated at different areas under varied wind climates. In this study, it was assumed that two separate locations would experience a 10% wind speed increase after McInnes et al. (2010). Given the two locations’ different wind speed distributions, a wind speed increase equal in magnitude is not equivalent to similar magnitudes of change in potential energy production in these areas. This paper demonstrates this fact for each of the case studies. It is of general interest to the energy field and is of value since very little literature exists in the Southern African context on climate change- or variability-effects on the (wind) energy sector. Energy output is therefore dependent not only on wind speed, but also wind turbine characteristics. The importance of including wind power curves and wind turbine generator capacity in wind resource analysis is emphasised.

SADC’s response to climate change – the role of harmonised law and policy on mitigation in the energy sector

2014 ◽  
Vol 25 (1) ◽  
pp. 26-32 ◽  
Author(s):  
M. Barnard
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Global Climate ◽  
Action Plan ◽  
Ghg Emissions ◽  
Energy Sector ◽  
Literature Study ◽  
Member States ◽  
Law And Policy

The negligible levels of energy-related GHG emissions attributable to the Southern African sub-region translates into the sub-region contributing relatively little towards global climate change. Notwithstanding, the member states comprising the Southern African Development Community (SADC) are among the most vulnerable to the trans boundary effects of global climate change. Existing SADC climate change policy documents highlight the important role of the energy sector in climate change mitigation. Furthermore, various international, African Union and SADC legal instruments stress the crucial role of harmonised law and policy as climate change adaptive measure. It is the central hypothesis of this paper that harmonised sub-regional law and policy aimed at regulating SADC member states’ mitigation efforts in the energy sector is a crucial climate change adaptive strategy. This hypothesis is based on the mandates for the formulation of a SADC climate change action plan and for mitigation in the energy sector. These mandates are contained in the texts of the SADC-CNGO Climate Change Agenda, 2012 and the Southern Africa Sub - Regional Framework on Climate Change, 2010 respectively. It is the main aim of this paper to investigate recent developments in the formulation of harmonised SADC law and policy on climate change in general and law and policy pertaining to mitigation in the energy sector specifically. In achieving the stated aim, themes to be investigated by means of a literature study are those of energy-related greenhouse gas emissions and global climate change and harmonised sub-regional policy on mitigation in the energy sector as adaptive measure in the SADC.

scholarly journals Fighting Climate Change in the Energy Sector – A Holistic View

2017 ◽  
Vol 114 ◽  
pp. 7550-7563 ◽  
Author(s):  
Gianfranco Guidati ◽  
Charles Soothill
Keyword(s):  
Climate Change ◽  
Energy Sector ◽  
Holistic View
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