Planning And Operation Strategies For Enhancing Power System Flexibility In Low Carbon Energy Transition
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Planning and Operation Strategies for Enhancing Power System Flexibility in Low-Carbon Energy Transition by Mingfei Ban,Weijia Liu,Ying Xu,Yiyun Yao Pdf
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 2022 - Mitigation of Climate Change by Intergovernmental Panel on Climate Change (IPCC) Pdf
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.
Renewable Energy and AI for Sustainable Development by Sailesh Iyer,Anand Nayyar,Mohd Naved,Fadi Al-Turjman Pdf
Electronic device usage has increased considerably in the past two decades. System configurations are continuously requiring upgrades; existing systems often become obsolete in a matter of 2–3 years. Green computing is the complete effective management of design, manufacture, use, and disposal, involving as little environmental impact as possible. This book intends to explore new and innovative ways of conserving energy, effective e-waste management, and renewable energy sources to harness and nurture a sustainable eco-friendly environment. This book: • Highlights innovative principles and practices using effective e-waste management and disposal • Explores artificial intelligence based sustainable models • Discovers alternative sources and mechanisms for minimizing environmental hazards • Highlights successful case studies in alternative sources of energy • Presents solid illustrations, mathematical equations, as well as practical in-the-field applications • Serves as a one-stop reference guide to stakeholders in the domain of green computing, e-waste management, renewable energy alternatives, green transformational leadership including theory concepts, practice and case studies • Explores cutting-edge technologies like internet of energy and artificial intelligence, especially the role of machine learning and deep learning in renewable energy and creating a sustainable ecosystem • Explores futuristic trends in renewable energy This book aims to address the increasing interest in reducing the environmental impact of energy as well as its further development and will act as a useful reference for engineers, architects, and technicians interested in and working with energy systems; scientists and engineers in developing countries; industries, manufacturers, inventors, universities, researchers, and interested consultants to explain the foundation to advanced concepts and research trends in the domain of renewable energy and sustainable computing. The content coverage of the book is organized in the form of 11 clear and thorough chapters providing a comprehensive view of the global renewable energy scenario, as well as how science and technology can play a vital role in renewable energy.
Smart Power Distribution Network by Leijiao Ge,Yuanzheng Li Pdf
The surge in renewable and distributed energy sources has posed significant challenges for smart power distribution network (SPDN). These challenges fall into two main categories: the unpredictability of renewable energy sources and the complexities introduced by numerous electrical devices and their interdependencies, affecting forecasting and operational performance. As the emphasis on SPDN's economic and environmental aspects grows, this book focuses on the vital themes of sustainability and cost-efficiency in SPDN forecasting, planning, and operation. It is structured into three key parts: 1. SPDN Situation Awareness: This section assesses prior research methods, analyzes their shortcomings while dissecting SPDN's unique situation awareness characteristics. Then, some forecast and virtual collection methods are presented. 2. Boosting SPDN Planning: Addressing optimal planning challenges in SPDN, this part introduces advanced modelling and algorithm solving techniques, tailored to mitigate SPDN's inherent uncertainty. 3. Enhancing SPDN Operation: Considering a variety of equipment types and controllable loads, this section explores strategies to boost SPDN operational performance. It covers control methodologies for electric vehicles, flexible loads, energy storage, and related equipments, etc. Tailored for university researchers, engineers, and graduate students in electrical engineering and computer science, this book is a valuable resource for comprehending SPDN's situation awareness, planning, and operation intricacies in the context of sustainability and economic efficiency.
Technologies for Integrated Energy Systems and Networks by Giorgio Graditi,Marialaura Di Somma Pdf
Technologies for Integrated Energy Systems and Networks Explore emerging technologies that will play a central role in humanity’s transition to a low-carbon future In Technologies for Integrated Energy Systems and Networks, a team of distinguished authors delivers a detailed discussion of integrated energy systems and networks, including a comprehensive overview of emerging technologies. The book focuses on the technologies and systems that play a major role in integrated energy systems, like renewable and distributed energy resources, power conversion technologies, hydrogen, storage technologies, electric mobility, zero- and positive-energy buildings, and local energy communities. A one-of-a-kind and holistic treatment of integrated energy systems, this book explores power conversion, including power-to-gas, power-to-liquid, and power- to-heat technologies, as well as other issues of interest to a broad range of students, professionals, and academicians involved in energy transition. It also covers: A thorough introduction to the digitalization of the energy sector and local market development enabling citizen involvement Comprehensive explorations of integrated energy systems as an engine of energy transition Practical discussions of renewable and distributed energy resources for sustainable economic development In-depth examinations of the role of hydrogen in a low-carbon energy future and the storage technologies of different energy carriers Perfect for electrical, construction, power and energy engineers, Technologies for Integrated Energy Systems and Networks will also earn a place in the libraries of electrochemists and environmental consultants.
Control, operation and trading strategies of intermittent renewable energy in smart grids by Dongliang Xiao,Biyun Chen,Xueqian Fu,Zhiyi Li,Chun Wei,Dan Lu Pdf
Decarbonization in the European Union by Sebastian Oberthür,Claire Dupont Pdf
The authors examine how far internal policies in the European Union move towards the objective of reducing greenhouse gas emissions in the EU by 80-95 per cent by 2050, and how or whether the EU's 2050 objective to 'decarbonise' could affect the EU's relations with a number of external energy partners.
Distributed Energy Resources in Local Integrated Energy Systems by Giorgio Graditi,Marialaura Di Somma Pdf
Distributed Energy Resources in Local Integrated Energy Systems: Optimal Operation and Planning reviews research and policy developments surrounding the optimal operation and planning of DER in the context of local integrated energy systems in the presence of multiple energy carriers, vectors and multi-objective requirements. This assessment is carried out by analyzing impacts and benefits at local levels, and in distribution networks and larger systems. These frameworks represent valid tools to provide support in the decision-making process for DER operation and planning. Uncertainties of RES generation and loads in optimal DER scheduling are addressed, along with energy trading and blockchain technologies. Interactions among various energy carriers in local energy systems are investigated in scalable and flexible optimization models for adaptation to a number of real contexts thanks to the wide variety of generation, conversion and storage technologies considered, the exploitation of demand side flexibility, emerging technologies, and through the general mathematical formulations established. Integrates multi-energy DER, including electrical and thermal distributed generation, demand response, electric vehicles, storage and RES in the context of local integrated energy systems Fosters the integration of DER in the electricity markets through the concepts of DER aggregation Addresses the challenges of emerging paradigms as energy communities and energy blockchain applications in the current and future energy landscape Proposes operation optimization models and methods through multi-objective approaches for fostering short- and long-run sustainability of local energy systems Assesses and models the uncertainties of renewable resources and intermittent loads in the short-term decision-making process for smart decentralized energy systems
Improving Power System Models for the Low-carbon Transition by Brayam D. Valqui Ordonez Pdf
This dissertation explores the impacts of environmental regulations in bulk power systems via novel modeling frameworks. Chapters 2 and 3 model the effect of different types of strategic behavior in electricity markets with low-carbon policies. On the other hand, Chapter 4 focuses on the impact of extreme weather events on the low-carbon transition. Chapter 2 presents a game-theoretic framework that includes two critical features of electricity markets: strategic adoption decisions by firms and intertemporal constraints on power plant operations. We apply this framework to a case study based on the Midwestern U.S. electricity market and explore whether biomass co-firing would decrease emissions. We show that profit-maximizing firms will retrofit mid-efficiency coal units, rather than the most or least efficient units. We demonstrate that, contrary to expectations, this strategy leads to a net increase in system-wide carbon emissions under high carbon prices because of the other generators displaced by co-firing units. Chapter 3 focuses on understanding the impacts of strategic investment decisions under a carbon tax in electricity markets. Using the framework of an equilibrium problem with equilibrium constraints, we investigate whether the optimal portfolio in a market with strategic investors differ from the results from a centralized cost-minimization plan. We apply this framework to an illustrative example and case study based on PJM. We demonstrate that strategic investors build a portfolio of technologies that increases electricity prices, total profits, and total system cost relative to the cost-minimization framework. We show that these results are robust to the carbon tax level, the number of firms in the market, network congestion, and test systems. Our simulations also show that the impact of strategic investment decisions on total emissions varies for different scenarios and is directly influenced by the existing generation mix in the system. Chapter 4 develops a novel generation expansion model that considers a low-carbon target and high-water temperature scenarios. To account for the interaction between capacity changes and likely high-water temperatures, resilience constraints are embedded in the proposed framework. We apply this framework to a case study based on the Western Electricity Coordinating Council. We demonstrate that our proposed model leads to lower retirement of high-carbon thermal units to comply with the resilience constraints. The effect of these planning decisions in the proposed model is a higher fixed O\&M cost but a significantly lower resilience cost, which leads to a net reduction in the total system cost relative to a traditional generation expansion model.
Planning and Operation of Active Distribution Networks by Antonio Carlos Zambroni de Souza,Bala Venkatesh Pdf
This book offers a broad and detailed view about how traditional distribution systems are evolving smart/active systems. The reader will be able to share the view of a number of researchers directly involved in this field. For this sake, philosophical discussions are enriched by the presentation of theoretical and computational tools. A senior reader may incorporate some concepts not available during his/her graduation process, whereas new Engineers may have contact with some material that may be essential to his/her practice as professionals.
Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy by Mukhdeep Singh Manshahia,Valeriy Kharchenko,Gerhard-Wilhelm Weber,Pandian Vasant Pdf
This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy.
Smart Grid Applications and Developments by Daphne Mah,Peter Hills,Victor O.K. Li,Richard Balme Pdf
Meeting today’s energy and climate challenges require not only technological advancement but also a good understanding of stakeholders’ perceptions, political sensitivity, well-informed policy analyses and innovative interdisciplinary solutions. This book will fill this gap. This is an interdisciplinary informative book to provide a holistic and integrated understanding of the technology-stakeholder-policy interactions of smart grid technologies. The unique features of the book include the following: (a) interdisciplinary approach – by bringing in the policy dimensions to smart grid technologies; (b) global and Asian perspective and (c) learning from national case studies. This book is organised into five sections. Part 1 discusses the historical and conceptual aspects of smart grids. Part 2 introduces the technological aspects and showcase the state of the art of the technologies. Part 3 explores the policy and governance dimensions by bringing in a stakeholder perspective. Part 4 presents a collection of national case studies. Part 5 shares insights and lesson learnt and provide policy recommendations. This book showcases the state-of-the-art R&D developments and policy experiences. This book contributes to a better understanding of governance institution and policy challenges and helps formulate policy recommendations for successful smart grid deployment.
