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The global energy system is undergoing a profound transformation from a system based mainly on fossil fuels to a low-carbon one based on variable renewable energy (VRE), such as wind power and solar power, to achieve the 2050 Paris Agreement. By 2050, solar and wind power, with more than 14,500 GW installed capacity, would account for three-fifths of global electricity generation. This transformation comes with significant challenges since high VRE shares will greatly increase system flexibility requirements for balancing supply and demand. Accordingly, all sectors of the power system need to unlock further requisite flexibility through technology, business, and policy innovations, including power supply, transmission, distribution, storage, and demand.
Climate change is a key problem of the 21st century. China, as the largest emitter of greenhouse gases, has committed to stabilize its current emissions and dramatically increase the share of electricity production from non-fossil fuels by 2030. However, this is only a first step: in the longer term, China needs to aggressively strive to reach a goal of zero-emissions. Through detailed discussions of electricity pricing, electric vehicle policies, nuclear energy policies, and renewable energy policies, this book reviews how near-term climate and energy policies can affect long-term decarbonization pathways beyond 2030, building the foundations for decarbonization in advance of its realization. Focusing primarily on the electricity sector in China - the main battleground for decarbonization over the next century – it provides a valuable resource for researchers and policymakers, as well as energy and climate experts.
People's well-being, industrial competitiveness and the overall functioning of society are dependent on safe, secure, sustainable and affordable energy. The energy infrastructure which will power citizens' homes, industry and services in 2050, as well as the buildings which people will use, are being designed and built now. The pattern of energy production and use in 2050 is already being set.
This dissertation demonstrates how flexibility in hourly electricity operations can impact long-term planning and analysis for future power systems, particularly those with substantial variable renewables (e.g., wind) or strict carbon policies. Operational flexibility describes a power system's ability to respond to predictable and unexpected changes in generation or demand. Planning and policy models have traditionally not directly captured the technical operating constraints that determine operational flexibility. However, as demonstrated in this dissertation, this capability becomes increasingly important with the greater flexibility required by significant renewables (>=20%) and the decreased flexibility inherent in some low-carbon generation technologies. Incorporating flexibility can significantly change optimal generation and energy mixes, lower system costs, improve policy impact estimates, and enable system designs capable of meeting strict regulatory targets. Methodologically, this work presents a new clustered formulation that tractably combines a range of normally distinct power system models, from hourly unit-commitment operations to long-term generation planning. This formulation groups similar generators into clusters to reduce problem size, while still retaining the individual unit constraints required to accurately capture operating reserves and other flexibility drivers. In comparisons against traditional unit commitment formulations, errors were generally less than 1% while run times decreased by several orders of magnitude (e.g., 5000x). Extensive numeric simulations, using a realistic Texas-based power system show that ignoring flexibility can underestimate carbon emissions by 50% or result in significant load and wind shedding to meet environmental regulations. Contributions of this dissertation include: 1. Demonstrating that operational flexibility can have an important impact on power system planning, and describing when and how these impacts occur; 2. Demonstrating that a failure to account for operational flexibility can result in undesirable outcomes for both utility planners and policy analysts; and 3. Extending the state of the art for electric power system models by introducing a tractable method for incorporating unit commitment based operational flexibility at full 8760 hourly resolution directly into planning optimization. Together these results encourage and offer a new flexibility-aware approach for capacity planning and accompanying policy design that can enable cleaner, less expensive electric power systems for the future.
This handbook serves as a guide to deploying battery energy storage technologies, specifically for distributed energy resources and flexibility resources. Battery energy storage technology is the most promising, rapidly developed technology as it provides higher efficiency and ease of control. With energy transition through decarbonization and decentralization, energy storage plays a significant role to enhance grid efficiency by alleviating volatility from demand and supply. Energy storage also contributes to the grid integration of renewable energy and promotion of microgrid.
"The integration of higher shares of renewable generation is essential for decarbonizing electricity generation. However, the main challenge of integrating renewable energy sources into a power system is the management of the increased disturbances in power balancing. These disturbances are caused by the inherent variability and uncertainty of renewable energy sources, which can put significant stress on reserve requirements in the system. Traditional power system operation paradigms are becoming less capable of handling this challenge, and this has spurred interest in studying the concept of power system flexibility. Flexibility-based operational planning algorithms typically rely on robust optimization to offer guarantees on the ability of the operator to meet a wide array of possible scenarios. The main downside of these approaches is their conservative results whose operating costs and/or carbon footprint may be sub-economical. Such results come by because these approaches immunize their solutions for the required level of security against realizations of potential events within their uncertainty set. Moreover, these approaches also often ignore the inherent time and spatial couplings of wind and solar generation variability. To tackle this issue, this thesis proposes a modeling technique for uncertainty sets which is called the spatio-temporal flexibility requirement envelope. It reduces the over-conservatism of the robust solution by comprehensively capturing and representing the temporal trends and spatial correlation of multisite renewable generation and load demand. A mathematical program is also developed for applying this envelope to power system unit commitment and dynamic dispatch through projections of the spatio-temporal envelopes, where we mainly focus on microgrid type power systems. We illustrate the effectiveness of the spatio-temporal flexibility requirement envelopes through several case studies. Furthermore, flexibility-based operational planning approaches are usually formulated based on model predictive control paradigms, which requires the online solution of a mixed-integer optimization problem at each sampling time. Such approaches are not amenable to most remote microgrid and practical field microgrid implementations, where controls are typically implemented by industrial controllers with limited computational power and the dispatch algorithm faces stringent execution time for real time operation. To tackle this challenge, in this thesis we also develop rigorous machine learning approaches for simplifying and accelerating the flexibility-based microgrid dispatch algorithms, so that they can be implemented in practical settings for real time operation. The proposed machine learning approaches are able to preserve as much as possible the control performance obtained by full mixed-integer optimization. At the same time, they can provide feasible dispatch decisions. We conduct comprehensive performance evaluations to demonstrate the effectiveness of the proposed machine learning approaches"--
The world is currently undergoing an historic energy transition, driven by increasingly stringent decarbonisation policies and rapid advances in low-carbon technologies. The large-scale shift to low-carbon energy is disrupting the global energy system, impacting whole economies, and changing the political dynamics within and between countries. This open access book, written by leading energy scholars, examines the economic and geopolitical implications of the global energy transition, from both regional and thematic perspectives. The first part of the book addresses the geopolitical implications in the world’s main energy-producing and energy-consuming regions, while the second presents in-depth case studies on selected issues, ranging from the geopolitics of renewable energy, to the mineral foundations of the global energy transformation, to governance issues in connection with the changing global energy order. Given its scope, the book will appeal to researchers in energy, climate change and international relations, as well as to professionals working in the energy industry.
The world is at a pivotal crossroad in energy choices. There is a strong sense that our use of energy must be more sustainable. Moreover, many also broadly agree that a way must be found to rely increasingly on lower carbon energy sources. However, no single or clear solution exists on the means to carry out such a shift at either a national or international level. Traditional energy planning (when done) has revolved around limited cost projections that often fail to take longer term evidence and interactions of a wider set of factors into account. The good news is that evidence does exist on such change in case studies of different nations shifting toward low-carbon energy approaches. In fact, such shifts can occur quite quickly at times, alongside industrial and societal advance, innovation, and policy learning. These types of insights will be important for informing energy debates and decision-making going forward. Low Carbon Energy Transitions: Turning Points in National Policy and Innovation takes an in-depth look at four energy transitions that have occurred since the global oil crisis of 1973: Brazilian biofuels, Danish wind power, French nuclear power, and Icelandic geothermal energy. With these cases, Dr. Araújo argues that significant nationwide shifts to low-carbon energy can occur in under fifteen years, and that technological complexity is not necessarily a major impediment to such shifts. Dr. Araújo draws on more than five years of research, and interviews with over 120 different scientists, government workers, academics, and members of civil society in completing this study. Low Carbon Energy Transitions is written for for professionals in energy, the environment and policy as well as for students and citizens who are interested in critical decisions about energy sustainability. Technology briefings are provided for each of the major technologies in this book, so that scientific and non-scientific readers can engage in more even discussions about the choices that are involved.
Wind power and solar photovoltaics (PV) are crucial to meeting future energy needs while decarbonizing the power sector. Deployment of both technologies has expanded rapidly in recent years, one of the few bright spots in an otherwise bleak picture of clean energy progress. However, the inherent variability of wind power and solar PV raises unique and pressing questions. Can power systems remain reliable and cost-effective while supporting high shares of variable renewable energy (VRE)? And if so, how? Based on a thorough review of the integration challenge, this publication gauges the economic significance of VRE integration impacts, highlights the need for a system-wide approach to integrating high shares of VRE and recommends how to achieve a cost-effective transformation of the power system. This book summarizes the results of the third phase of the Grid Integration of VRE (GIVAR) project, undertaken by the IEA over the past two years. It is rooted in a set o
This Working Group III contribution to the IPCC Sixth Assessment Report provides a comprehensive and transparent assessment of the literature on climate change mitigation. The report assesses progress in climate change mitigation options for reducing emissions and enhancing sinks. With greenhouse gas emissions at the highest levels in human history, this report provides options to achieve net zero, as pledged by many countries. The report highlights for the first time the social and demand-side aspects of climate mitigation, and assesses the literature on human behaviour, lifestyle, and culture, and its implications for mitigation action. It brings a wide range of disciplines, notably from the social sciences, within the scope of the assessment. IPCC reports are a trusted source for decision makers, policymakers, and stakeholders at all levels (international, regional, national, local) and in all branches (government, businesses, NGOs). Available as Open Access on Cambridge Core.