Описание: This book is a results-oriented, straight-talking guide for local activists, professionals, and preservation commissions committed to winning and maintaining local historic districts. Its political approach focuses on the crucial challenges of gaining and sustaining community and local governmental support for historic district regulations.
Автор: Rнos-Mercado Roger Z. Название: Optimal Districting and Territory Design ISBN: 3030343111 ISBN-13(EAN): 9783030343118 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I covers recent up-to-date surveys on important areas of districting such as police districting, health care districting, and districting algorithms based on computational geometry.
In 1988, Sandi and Larry Zobrest sued a suburban Tucson, Arizona, school district that had denied their hearing-impaired son a taxpayer-funded interpreter in his Roman Catholic high school. The Catalina Foothills School District argued that providing a public resource for a private, religious school created an unlawful crossover between church and state. The Zobrests, however, claimed that the district had infringed on both their First Amendment right to freedom of religion and the Individuals with Disabilities Education Act (IDEA).
Bruce J. Dierenfield and David A. Gerber use the Zobrests' story to examine the complex history and jurisprudence of disability accommodation and educational mainstreaming. They look at the family's effort to acquire educational resources for their son starting in early childhood and the choices the Zobrests made to prepare him for life in the hearing world rather than the deaf community. Dierenfield and Gerber also analyze the thorny church-state issues and legal controversies that informed the case, its journey to the U.S. Supreme Court, and the impact of the high court's ruling on the course of disability accommodation and religious liberty.
Название: District energy system design ISBN: 3039363662 ISBN-13(EAN): 9783039363667 Издательство: Неизвестно Рейтинг: Цена: 8151.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The articles presented in this Special Issue cover different aspects of the urban planning process, such as simulation, optimization or decision-making. The authors highlighted the importance of performing an integrated design of the district, considering different sectors, different energy vectors and different operation modes. In order to better integrate renewable and residual energy sources (R ES), careful design of systems and storage solutions should be performed. Different storage solutions were tested, ranging from large-scale thermal energy storage to vehicle batteries or the thermal mass of buildings. Van der Heijde et al. (2019) proposed a two-layer design optimization algorithm to design a district heating network with solar thermal collectors, seasonal thermal energy storage and excess heat injection. Pajot et al. (2019) also performed an optimization of the sizing and control of energy systems in a district equipped with heat pumps, with thermal energy storage or thermal mass utilization. A hybrid distribution system, coupling the thermal and electrical networks, was proposed by Widl et al. (2019). Arnaudo et al. (2019) used the vehicle-to-grid (V2G) concept to decrease the overloading of the electrical distribution network during heat pump operation. Finally, Kazmi et al. (2019) proposed an integrated decision-making planning approach for a better integration of R ES in the distribution network. The complexity of urban planning leads to the development of new tools and methodologies. Until now, operation was poorly integrated in the design phase. New urban building energy modeling tools were proposed by the different authors. These tools are either based on co-simulations or integrated solutions to be able to capture the fine dynamics of a district. The difficulty of generating the input data for the models was also discussed. Regarding the methodology, most articles proposed a two-stage optimization procedure to optimize both the operational and design aspects. Mixed-integer linear programming (MILP) and genetic algorithms were often used to find optimal solutions.
Описание: Draws on the experience of Gui`an New District in the People`s Republic of China to explain how intelligent transport systems can be planned, designed, and implemented.
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