Pierluigi Mancarella – författare

Energy Positive Neighborhoods and Smart Energy Districts: Methods, Tools, and Experiences from the Field is a comprehensive guide to this highly interdisciplinary topic. Monti et. al's combined experience make them the most qualified team of editors to explore the processes and tools involved in creating Energy Positive Neighborhoods and Smart Energy Districts in an urban setting. Tools include:

A complete simulation library to quickly support the implementation of a model of the scenario A set of possible approaches to neighborhood energy optimization An open, extensible information model for neighbourhood asset description

The structure of this book offers different reading paths to appeal to the very varied audience it addresses. It describes the process of adaption and the challenges faced by the decision makers, and also how simulation, optimisation, ICT approaches and business models are combined in a holistic and pragmatic way. It also offers possible business models and a means to quantify them to complete the development process. This book is suitable for students on muti-disciplinary energy engineering courses, energy practitioners, ICT vendors aiming to develop new services to target the building industry, and decision makers aiming to structure an urban renovation program.

Delivers a significant amount of exclusive knowledge on the topics of energy positive neighborhoods and smart energy districts Allows readers to grasp the complexity of this interdisciplinary topic by providing access to well-structured processes and tools Includes real life examples of the transformation of two demonstration sites that illustrate the concepts discussed to add context and value to their implementation

Energy Positive Neighborhoods and Smart Energy Districts: Methods, Tools, and Experiences from the Field is a comprehensive guide to this highly interdisciplinary topic. Monti et. al''s combined experience make them the most qualified team of editors to explore the processes and tools involved in creating Energy Positive Neighborhoods and Smart Energy Districts in an urban setting. Tools include:- A complete simulation library to quickly support the implementation of a model of the scenario- A set of possible approaches to neighborhood energy optimization- An open, extensible information model for neighbourhood asset description The structure of this book offers different reading paths to appeal to the very varied audience it addresses. It describes the process of adaption and the challenges faced by the decision makers, and also how simulation, optimisation, ICT approaches and business models are combined in a holistic and pragmatic way. It also offers possible business models and a means to quantify them to complete the development process. This book is suitable for students on muti-disciplinary energy engineering courses, energy practitioners, ICT vendors aiming to develop new services to target the building industry, and decision makers aiming to structure an urban renovation program.- Delivers a significant amount of exclusive knowledge on the topics of energy positive neighborhoods and smart energy districts- Allows readers to grasp the complexity of this interdisciplinary topic by providing access to well-structured processes and tools- Includes real life examples of the transformation of two demonstration sites that illustrate the concepts discussed to add context and value to their implementation

The concept of Demand Response (DR) generally concerns methodologies, technologies and commercial arrangements that could allow active participation of consumers in the power system operation. The primary aim of DR is thus to overcome the “traditional” inflexibility of electrical demand and, amongst others, create a new powerful tool to maximize deployment of renewable energy sources as well as provide active network management solutions to help reducing the impact of limited grid capabilities.

DR allows consumers to actively participate in power system operation, thus bringing new opportunities in emerging energy markets as well as tangible system benefits. In this sense, DR is considered one of the key enablers of the Smart Grid concept. However, DR also poses a number of challenges, particularly when “active demand” is connected to the Low Voltage network, thus affecting all the actors involved in the electricity chain.

This book presents for the first time a comprehensive view on technical methodologies and architectures, commercial arrangements, and socio-economic and regulatory factors that could facilitate the uptake of DR. The work is developed in a systematic way so as to create a comprehensive picture of challenges, benefits and opportunities involved with DR. The reader will thus be provided with a clear understanding of the complexity deriving from a demand becoming active, as well as with a quantitative assessment of the techno-economic value of the proposed solutions in a Smart Grid context.

Many research contributions have appeared in recent years in the field of DR, both in journals and conference proceedings. However, most publications focus on individual aspects of the problem. A systematic treatment of the issues to be tackled to introduce DR in existing electricity grids, involving the extended value chain in terms of technical and commercial aspects, is still missing. Also, several books have recently been published about Smart Grid, in which there is some mention to DR. However, again while DR is seen as a key pillar for the Smart Grid, there is no dedicated, comprehensive and systematic contribution in this respect.

The concept of Demand Response (DR) generally concerns methodologies, technologies and commercial arrangements that could allow active participation of consumers in the power system operation. The primary aim of DR is thus to overcome the “traditional” inflexibility of electrical demand and, amongst others, create a new powerful tool to maximize deployment of renewable energy sources as well as provide active network management solutions to help reducing the impact of limited grid capabilities.

DR allows consumers to actively participate in power system operation, thus bringing new opportunities in emerging energy markets as well as tangible system benefits. In this sense, DR is considered one of the key enablers of the Smart Grid concept. However, DR also poses a number of challenges, particularly when “active demand” is connected to the Low Voltage network, thus affecting all the actors involved in the electricity chain.

This book presents for the first time a comprehensive view on technical methodologies and architectures, commercial arrangements, and socio-economic and regulatory factors that could facilitate the uptake of DR. The work is developed in a systematic way so as to create a comprehensive picture of challenges, benefits and opportunities involved with DR. The reader will thus be provided with a clear understanding of the complexity deriving from a demand becoming active, as well as with a quantitative assessment of the techno-economic value of the proposed solutions in a Smart Grid context.

Many research contributions have appeared in recent years in the field of DR, both in journals and conference proceedings. However, most publications focus on individual aspects of the problem. A systematic treatment of the issues to be tackled to introduce DR in existing electricity grids, involving the extended value chain in terms of technical and commercial aspects, is still missing. Also, several books have recently been published about Smart Grid, in which there is some mention to DR. However, again while DR is seen as a key pillar for the Smart Grid, there is no dedicated, comprehensive and systematic contribution in this respect.

Comprehensive resource focusing on natural hazards and their impact on power systems, with case studies and tutorials included Fundamentals of Power System Resilience is the first book to cover the topic of power system resilience in a holistic manner, ranging from novel conceptual frameworks for understanding the concept, to advanced assessment and quantifying techniques, to optimization planning algorithms and regulatory frameworks towards resilient power grids. The text explicitly addresses the needs and challenges of current network planning and operation standards and examines the steps and standard amendments needed to achieve low-carbon, resilient power systems. Practically, it provides frameworks to assess resilience in operation and planning and relevant quantification metrics. Case studies from around the world (real data and project developments as well as simulations) including windstorms, wildfires, floods, earthquakes, blackouts, and brownouts, etc. are included, with applications from the UK, Chile, Australia, and Greece. In Fundamentals of Power System Resilience, readers can expect to find specific information on: Classical reliability standards, covering the changing energy landscape and limitations of existing reliability-driven network planning and operation standardsHow resilience is interpreted in the power systems community, and characterizations and differentiation of threatsSpatiotemporal impact assessment of external shocks on power systems, trapezoid applications to different events of different time-scales, and AC cascading models for resilience applicationsConventional approaches to asset failure data representation and modeling of the relationship between weather/asset outagesFundamentals of Power System Resilience provides fundamental knowledge of the subject and is an excellent supplementary reference for final undergraduates and postgraduate students due to its mix of basic and advanced content and tutorial-like exercises. It is also essential for regulators and practitioners for shaping the future resilient power systems.

Comprehensive resource focusing on natural hazards and their impact on power systems, with case studies and tutorials included Fundamentals of Power System Resilience is the first book to cover the topic of power system resilience in a holistic manner, ranging from novel conceptual frameworks for understanding the concept, to advanced assessment and quantifying techniques, to optimization planning algorithms and regulatory frameworks towards resilient power grids. The text explicitly addresses the needs and challenges of current network planning and operation standards and examines the steps and standard amendments needed to achieve low-carbon, resilient power systems. Practically, it provides frameworks to assess resilience in operation and planning and relevant quantification metrics. Case studies from around the world (real data and project developments as well as simulations) including windstorms, wildfires, floods, earthquakes, blackouts, and brownouts, etc. are included, with applications from the UK, Chile, Australia, and Greece. In Fundamentals of Power System Resilience, readers can expect to find specific information on: Classical reliability standards, covering the changing energy landscape and limitations of existing reliability-driven network planning and operation standards How resilience is interpreted in the power systems community, and characterizations and differentiation of threats Spatiotemporal impact assessment of external shocks on power systems, trapezoid applications to different events of different time-scales, and AC cascading models for resilience applications Conventional approaches to asset failure data representation and modeling of the relationship between weather/asset outages Fundamentals of Power System Resilience provides fundamental knowledge of the subject and is an excellent supplementary reference for final undergraduates and postgraduate students due to its mix of basic and advanced content and tutorial-like exercises. It is also essential for regulators and practitioners for shaping the future resilient power systems.

Comprehensive resource focusing on natural hazards and their impact on power systems, with case studies and tutorials included Fundamentals of Power System Resilience is the first book to cover the topic of power system resilience in a holistic manner, ranging from novel conceptual frameworks for understanding the concept, to advanced assessment and quantifying techniques, to optimization planning algorithms and regulatory frameworks towards resilient power grids. The text explicitly addresses the needs and challenges of current network planning and operation standards and examines the steps and standard amendments needed to achieve low-carbon, resilient power systems. Practically, it provides frameworks to assess resilience in operation and planning and relevant quantification metrics. Case studies from around the world (real data and project developments as well as simulations) including windstorms, wildfires, floods, earthquakes, blackouts, and brownouts, etc. are included, with applications from the UK, Chile, Australia, and Greece. In Fundamentals of Power System Resilience, readers can expect to find specific information on: Classical reliability standards, covering the changing energy landscape and limitations of existing reliability-driven network planning and operation standards How resilience is interpreted in the power systems community, and characterizations and differentiation of threats Spatiotemporal impact assessment of external shocks on power systems, trapezoid applications to different events of different time-scales, and AC cascading models for resilience applications Conventional approaches to asset failure data representation and modeling of the relationship between weather/asset outages Fundamentals of Power System Resilience provides fundamental knowledge of the subject and is an excellent supplementary reference for final undergraduates and postgraduate students due to its mix of basic and advanced content and tutorial-like exercises. It is also essential for regulators and practitioners for shaping the future resilient power systems.

The recent development of distributed generation technologies is changing the focus of the production of electricity from large centralized power plants to local energy systems scattered over the territory. Under the distributed generation paradigm, the present research scenario emphasises more and more the role of solutions aimed at improving the energy generation efficiency and thus the sustainability of the overall energy sector. In particular, coupling local cogeneration systems to various typologies of chillers and heat pumps allows setting up distributed multi-generation systems for combined production of different energy vectors such as electricity, heat (at different enthalpy levels), cooling power, and so forth. The generation of the final demand energy outputs close to the users enables reducing the losses occurring in the energy chain conversion and distribution, as well as enhancing the overall generation efficiency. This book presents a comprehensive introduction to energy planning and performance assessment of energy systems within the so-called Distributed Multi-Generation (DMG) framework. Typical plant schemes and components are illustrated and modelled, with special focus on applications for trigeneration of electricity, heat and cooling power. A general approach to characterization and planning of multi-generation systems is formulated in terms of the so-called lambda analysis, which extends the classical models related to the heat-to-power cogeneration ratio analysis in cogeneration plants. A unified theoretical framework leading to synthesize different performance assessment techniques is described in details. In particular, different indicators are presented for evaluating the potential energy benefits of distributed multi-generation systems with respect to classical case of separate production and centralized energy systems. Several case study applications are illustrated to exemplify the models presented and to point out some numerical aspects relevant to equipment available on the market. In particular, schemes with different cogeneration prime mover typologies, as well as electric, absorption and engine-driven chillers and heat pumps, are discussed and evaluated. A number of openings towards modelling and evaluation of environmental and economic issues are also provided. The aspects analysed highlight the prominent role of DMG systems towards the development of more sustainable energy scenarios.