6,693 research outputs found

    Cool Roof Impact on Building Energy Need: The Role of Thermal Insulation with Varying Climate Conditions

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    Cool roof effectiveness in improving building thermal-energy performance is affected by different variables. In particular, roof insulation level and climate conditions are key parameters influencing cool roofs benefits and whole building energy performance. This work aims at assessing the role of cool roof in the optimum roof configuration, i.e., combination of solar reflectance capability and thermal insulation level, in terms of building energy performance in different climate conditions worldwide. To this aim, coupled dynamic thermal-energy simulation and optimization analysis is carried out. In detail, multi-dimensional optimization of combined building roof thermal insulation and solar reflectance is developed to minimize building annual energy consumption for heating-cooling. Results highlight how a high reflectance roof minimizes annual energy need for a small standard office building in the majority of considered climates. Moreover, building energy performance is more sensitive to roof solar reflectance than thermal insulation level, except for the coldest conditions. Therefore, for the selected building, the optimum roof typology presents high solar reflectance capability (0.8) and no/low insulation level (0.00-0.03 m), except for extremely hot or cold climate zones. Accordingly, this research shows how the classic approach of super-insulated buildings should be reframed for the office case toward truly environmentally friendly buildings.The work was partially funded by the Spanish government (RTI2018-093849-B-C31). This work was partially supported by ICREA under the ICREA Academia programme. Dr. Alvaro de Gracia has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 712949 (TECNIOspring PLUS) and from the Agency for Business Competitiveness of the Government of Catalonia. This publication has emanated from research supported (in part) by Science Foundation Ireland (SFI) under the SFI Strategic Partnership Programme Grant Number SFI/15/SPP/E3125

    On the ergodic sum-rate performance of CDD in multi-user systems

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    The main focus of space-time coding design and analysis for MIMO systems has been so far focused on single-user systems. For single-user systems, transmit diversity schemes suffer a loss in spectral efficiency if the receiver is equipped with more than one antenna, making them unsuitable for high rate transmission. One such transmit diversity scheme is the cyclic delay diversity code (CDD). The advantage of CDD over other diversity schemes such as orthogonal space-time block codes (OSTBC) is that a code rate of one and delay optimality are achieved independent of the number of transmit antennas. In this work we analyze the ergodic rate of a multi-user multiple access channel (MAC) with each user applying such a cyclic delay diversity (CDD) code. We derive closed form expressions for the ergodic sum-rate of multi-user CDD and compare it with the sum-capacity. We study the ergodic rate region and show that in contrast to what is conventionally known regarding the single-user case, transmit diversity schemes are viable candidates for high rate transmission in multi-user systems. Finally, our theoretical findings are illustrated by numerical simulation results.Comment: to appear in Proceedings of 2007 IEEE Information Theory Workshop (ITW) in Lake Taho

    Reduced-Complexity Noncoherently Detected Differential Space-Time Shift Keying

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    Motivated by the recent development of Spatial Modulation (SM) and Differential Space-Time Shift Keying (DSTSK), we propose a reduced-complexity Conventional Differential Detector (CDD) as well as its reduced-complexity Multiple-Symbol Differential Sphere Detector (MSDSD) counterpart for DSTSK. Both schemes operate on a symbol-by-symbol basis in order to reduce the complexity of the classic block-by-block-based CDD and MSDSD, whilst still approaching the optimum performance of the full-search-based Maximum Likelihood (ML) detector. More explicitly, we carefully consider the objective function to be used for decoding the index of the specific antenna activated by taking into account the particular modulation scheme employed. Our simulation results demonstrate that the proposed CDD and MSDSD designed for DSTSK guarantee a significant complexity reduction compared to the classic block-based decoders, especially for high-rate DSTSK schemes, which is achieved without a performance penalty

    Methods and means used in programming intelligent searches of technical documents

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    In order to meet the data research requirements of the Safety, Reliability & Quality Assurance activities at Kennedy Space Center (KSC), a new computer search method for technical data documents was developed. By their very nature, technical documents are partially encrypted because of the author's use of acronyms, abbreviations, and shortcut notations. This problem of computerized searching is compounded at KSC by the volume of documentation that is produced during normal Space Shuttle operations. The Centralized Document Database (CDD) is designed to solve this problem. It provides a common interface to an unlimited number of files of various sizes, with the capability to perform any diversified types and levels of data searches. The heart of the CDD is the nature and capability of its search algorithms. The most complex form of search that the program uses is with the use of a domain-specific database of acronyms, abbreviations, synonyms, and word frequency tables. This database, along with basic sentence parsing, is used to convert a request for information into a relational network. This network is used as a filter on the original document file to determine the most likely locations for the data requested. This type of search will locate information that traditional techniques, (i.e., Boolean structured key-word searching), would not find

    Моделирование энергопотребления зданий: оценка статической и динамической моделей

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    The aim of the present paper is to show recent results obtained in modeling the building system, presenting a review on the common numerical models used to estimate the energy consumptions. In particular, both steady-state and dynamic models are investigated by analyzing their main assumptions, limitations and fields of usage. As a matter of fact, the most common models are based on steady state approaches, but new technologies and the need to implement innovative regulation criteria for heating and cooling systems by performing detailed coupled studies on the building and heating/cooling systems, push towards the use of dynamic tools with low computational costs. Therefore, the use of dynamic models is often suggested, especially when different building configurations are investigated (as e. g. in the design stage or for a renovation perspective). Starting from this point, sensitive analyses on the installation of a proper insulation in the building envelope is then presented.Цель данной работы — показать последние результаты, полученные при моделировании системы здания, с описанием общих численных моделей, используемых для оценки энергопотребления. В частности на статических и динамических моделях исследованы основные допущения, ограничения и область использования путем их анализа. Собственно говоря, наиболее распространенные модели основаны на установившихся подходах, но новые технологии и необходимость внедрения для систем отопления и холодоснабжения инновационных критериев регулирования с использованием подробного анализа здания и систем отопления/охлаждения, подталкивают к использованию динамических инструментов с низкими вычислительными затратами. Таким образом, часто целесообразно использование динамических моделей, особенно когда существуют разные конфигурации здания (как, например, в стадии проектирования или для перспективной реконструкции). В статье представлен анализ установки правильного утеплителя в ограждающих конструкциях
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