Low-Carbon Oriented Improvement Strategy for Flexibility and Resiliency of Multi-Energy Systems


Book Description

Due to the inherent volatility and randomness, the increasing share of energy from renewable resources presents a challenge to the operation of multi-energy systems with heterogeneous energy carriers such as electricity, heat, hydrogen, etc. These factors will make the systems hard to adjust their supply and demand flexibly to maintain energy balance to ensure reliability. Further, this hinders the development of a low-carbon and economically viable energy system. By making full use of the synergistic interaction of generation, transmission, load demand, and energy storage, a three-fold approach focused on quantifying demand flexibility, evaluating supply capabilities, and enhancing resilience can unlock the flexibility potential across various sectors of new energy systems. This approach provides an effective means of facilitating the transition from conventional energy systems to low-carbon, clean-energy-oriented paradigms. However, huge challenges arising from renewable energy pose great obstacles to the aforementioned solution pathway. The main objectives of this Research Topic are: 1. Develop advanced carbon emission accounting and measurement techniques for emerging multi-energy systems 2. Design effective methods for predicting renewable electricity generation 3. Proposed efficient methods for quantitative assessment of uncertainty from renewables and loads 4. Put forward advanced evaluation, optimization, and planning strategies incorporating diverse flexibility resources 5. Design multifaceted market mechanisms and collaborative frameworks balancing economics and low carbon footprint 6. Develop operational control and resilience-enhancement techniques for distribution networks under large-scale distributed energy integration







Planning and Operation Strategies for Enhancing Power System Flexibility in Low-Carbon Energy Transition


Book Description

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.




Urban Energy Systems


Book Description

This book analyses the technical and social systems that satisfy these needs and asks how methods can be put into practice to achieve this.




Smart Robust Operation and Trading of Integrated Energy Systems with Low Pollution Goals


Book Description

To mitigate two major environmental concerns of global warming and air pollution, renewable energies with uncertainty are increasingly deployed in power systems, which challenge the system's secure operation. A single system usually has limited adjusting ability. In contrast, integrated energy systems such as electricity-gas, electricity-traffic, electricity-heat, and transmission-distribution coordinated systems enhance the regulating ability of renewable energy accommodation and environmental protection. The operation of integrated energy systems will meet three essential requirements: low-pollution attribute, robustness, and cooperativity. However, the diversity of uncertainty conditions, the complementarity of new energy accommodation among systems, the conflict of interest between systems, and the dispatch autonomy of systems challenge the requirements mentioned above. The main goal of this Research Topic includes: 1. Propose more effective trading mechanisms or control strategies for carbon and air pollutant emissions. 2. Fully use complementary effects between electric power, natural gas, heat, hydrogen, and traffic systems. 3. Realize the coordinated operation of integrated energy systems with limited information interaction and ensured dispatch autonomy. 4. Improve the robustness of integrated energy systems under diversified uncertainty conditions. 5. Apply data-based reinforcement learning methods for the dynamic decision of smart integrated energy systems under complex environments.




Towards Energy Smart Homes


Book Description

This book exemplifies how smart buildings have a crucial role to play for the future of energy. The book investigates what already exists in regards to technologies, approaches and solutions both with a scientific and technological point of view. The authors cover solutions for mirroring and tracing human activities, optimal strategies to configure home settings, and generating explanations and persuasive dashboards to get occupants better committed in their home energy managements. Solutions are adapted from the fields of Internet of Things, physical modeling, optimization, machine learning and applied artificial intelligence. Practical applications are given throughout.







Climate Impacts on Energy Systems


Book Description

"While the energy sector is a primary target of efforts to arrest and reverse the growth of greenhouse gas emissions and lower the carbon footprint of development, it is also expected to be increasingly affected by unavoidable climate consequences from the damage already induced in the biosphere. Energy services and resources, as well as seasonal demand, will be increasingly affected by changing trends, increasing variability, greater extremes and large inter-annual variations in climate parameters in some regions. All evidence suggests that adaptation is not an optional add-on but an essential reckoning on par with other business risks. Existing energy infrastructure, new infrastructure and future planning need to consider emerging climate conditions and impacts on design, construction, operation, and maintenance. Integrated risk-based planning processes will be critical to address the climate change impacts and harmonize actions within and across sectors. Also, awareness, knowledge, and capacity impede mainstreaming of climate adaptation into the energy sector. However, the formal knowledge base is still nascent?information needs are complex and to a certain extent regionally and sector specific. This report provides an up-to-date compendium of what is known about weather variability and projected climate trends and their impacts on energy service provision and demand. It discusses emerging practices and tools for managing these impacts and integrating climate considerations into planning processes and operational practices in an environment of uncertainty. It focuses on energy sector adaptation, rather than mitigation which is not discussed in this report. This report draws largely on available scientific and peer-reviewed literature in the public domain and takes the perspective of the developing world to the extent possible."




Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems


Book Description

Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems examines the combined impact of buildings and transportation systems on energy demand and use. With a strong focus on AI and machine learning approaches, the book comprehensively discusses each part of the energy life cycle, considering source, grid, demand, storage, and usage. Opening with an introduction to smart buildings and intelligent transportation systems, the book presents the fundamentals of AI and its application in renewable energy sources, alongside the latest technological advances. Other topics presented include building occupants' behavior and vehicle driving schedule with demand prediction and analysis, hybrid energy storages in buildings with AI, smart grid with energy digitalization, and prosumer-based P2P energy trading. The book concludes with discussions on blockchain technologies, IoT in smart grid operation, and the application of big data and cloud computing in integrated smart building-transportation energy systems. A smart and flexible energy system is essential for reaching Net Zero whilst keeping energy bills affordable. This title provides critical information to students, researchers and engineers wanting to understand, design, and implement flexible energy systems to meet the rising demand in electricity. - Introduces spatiotemporal energy sharing with new energy vehicles and human-machine interactions - Discusses the potential for electrification and hydrogenation in integrated building-transportation systems for sustainable development - Highlights key topics related to traditional energy consumers, including peer-to-peer energy trading and cost-benefit business models




Green Recovery with Resilience and High Quality Development


Book Description

This open access book is based on the research outputs of China Council for International Cooperation on Environment and Development (CCICED) in 2021. It covers major topics of Chinese and international attention regarding green development, such as climate, biodiversity, ocean, BRI, urbanization, sustainable production and consumption, technology, finance, value chain, and related topics. It also reviews the progress of China‘s environmental and development policies and the impacts from CCICED. This is a highly informative and carefully presented book, providing insight for policy makers in environmental issues.