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基本説明
Presents state-of-the-art techniques for examining urban energy systems as integrated systems of technologies, resources and people.
Full Description
Energy demands of cities need to be met more sustainably. This book analyses the technical and social systems that satisfy these needs and asks how methods can be put into practice to achieve this.
Drawing on analytical tools and case studies developed at Imperial College London, the book presents state-of-the-art techniques for examining urban energy systems as integrated systems of technologies, resources, and people.
Case studies include:
a history of the evolution of London's urban energy system, from pre-history to present day
a history of the growth of district heating and cogeneration in Copenhagen, one of the world's most energy efficient cities
an analysis of changing energy consumption and environmental impacts in the Kenyan city of Nakuru over a thirty year period
an application of uncertainty and sensitivity analysis techniques to show how Newcastle-upon-Tyne can reach its 2050 carbon emission targets
designing an optimized low-carbon energy system for a new UK eco-town, showing how it would meet ever more stringent emissions targets.
For students, researchers, planners, engineers, policymakers and all those looking to make a contribution to urban sustainability.
Contents
Part 1: Introduction 1. The Growing Importance of Urban Energy Systems 2. Conceptualizing Urban Energy Systems 3. A Brief History of Urban Energy Systems Part 2: Urban Energy Use and Technologies 4. Building Energy Service Demands 5. Distributed Multi-generation and District Energy Systems 6. Bioenergy and Other Urban Renewables 7. Urban Transport Technologies Part 3: Analysing Urban Energy Systems 8. Modelling Urban Energy Systems 9. Optimization and Systems Integration 10. Ecologically Inspired Optimization Modelling 11. Activity-based Modelling 12.Uncertainty and Sensitivity Analysis Part 4: Implementing Solutions 13. Managing Transitions in Urban Energy Systems 14. Cities of the Future 15. Conclusion Appendix. Optimization Techniques
