Energy Use At Institutional Buildings
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Analysis Of Energy Use At U S Institutional Buildings
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Author : Eric Hirst
language : en
Publisher:
Release Date : 1981
Analysis Of Energy Use At U S Institutional Buildings written by Eric Hirst and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Public buildings categories.
Energy Use At Institutional Buildings
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Author : Eric Hirst
language : en
Publisher:
Release Date : 1981
Energy Use At Institutional Buildings written by Eric Hirst and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Buildings categories.
Energy Use At Institutional Buildings
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Author : Eric Hirst
language : en
Publisher:
Release Date : 1981
Energy Use At Institutional Buildings written by Eric Hirst and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Buildings categories.
Managing Energy Use In Modern Buildings
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Author : Bernard Flaman
language : en
Publisher: Getty Publications
Release Date : 2021-07-05
Managing Energy Use In Modern Buildings written by Bernard Flaman and has been published by Getty Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-05 with Architecture categories.
This timely volume brings together case studies that address the urgent need to manage energy use and improve thermal comfort in modern buildings while preserving their historic significance and character. This collection of ten case studies addresses the issues surrounding the improvement of energy consumption and thermal comfort in modern buildings built between 1928 and 1969 and offers valuable lessons for other structures facing similar issues. These buildings, international in scope and diverse in type, style, and size, range from the Shulman House, a small residence in Los Angeles, to the TD Bank Tower, a skyscraper complex in Toronto, and from the Calouste Gulbenkian Foundation, a cultural venue in Lisbon, to the Van Nelle Factory in Rotterdam, now an office building. Showing ingenuity and sensitivity, the case studies consider improvements to such systems as heating, cooling, lighting, ventilation, and controls. They provide examples that demonstrate best practices in conservation and show ways to reduce carbon footprints, minimize impacts to historic materials and features, and introduce renewable energy sources, in compliance with energy codes and green-building rating systems. The Conserving Modern Heritage series, launched in 2019, is written by architects, engineers, conservators, scholars, and allied professionals. The books in this series provide well-vetted case studies that address the challenges of conserving twentieth-century heritage.
Analysis Of Energy Use In Minnesota Institutional Buildings
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Author : Eric Hirst
language : en
Publisher:
Release Date : 1979
Analysis Of Energy Use In Minnesota Institutional Buildings written by Eric Hirst and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Energy consumption categories.
The Design Of Energy Responsive Commercial Buildings
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Author : Steven Ternoey
language : en
Publisher: Wiley-Interscience
Release Date : 1985
The Design Of Energy Responsive Commercial Buildings written by Steven Ternoey and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Architecture and energy conservation categories.
A practical guide for building designers who want to reduce the nonrenewable energy needs of commercial and institutional buildings. The book presents, compares and interprets the most up to date information on the principles, advantages and disadvantages of many energy-related design alternatives.
Saving Electrical Energy In Commercial Buildings
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Author : Ryan Case
language : en
Publisher:
Release Date : 2012
Saving Electrical Energy In Commercial Buildings written by Ryan Case and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
With the commercial and institutional building sectors using approximately 29% and 34% of all electrical energy consumption in Canada and the United States, respectively, saving electrical energy in commercial and institutional buildings represents an important chal- lenge for both the environment and the energy consumer. Concurrently, a rapid decline in the cost of microprocessing and communication has enabled the profileration of smart me- ters, which allow a customer to monitor energy usage every hour, 15 minutes or even every minute. Algorithmic analysis of this stream of meter readings would allow 1) a building operator to predict the potential cost savings from implemented energy savings measures without engaging the services of an expensive energy expert; and 2) an energy expert to quickly obtain a high-level understanding of a building's operating parameters without a time-consuming and expensive site visit. This thesis develops an algorithm that takes as input a stream of building meter data and outputs a building's operating parameters. This output can be used directly by an energy expert to assess a building's performance; it can also be used as input to other algorithms or systems, such as systems that 1) predict the cost savings from a change in these operating parameters; 2) benchmark a portfolio of building; 3) create baseline models for measurement and verification programs; 4) detect anomalous building behaviour; 5) provide novel data visualization methods; or 6) assess the applicability of demand response programs on a given building. To illustrate this, we show how operating parameters can be used to estimate potential energy savings from energy savings measures and predict building energy consumption. We validate our ap- proach on a range of commercial and institutional buildings in Canada and the United States; our dataset consists of 10 buildings across a variety of geographies and industries and comprises over 21 years of meter data. We use K-fold cross-validation and benchmark our work against a leading black-box prediction algorithm; our model offers comparable prediction accuracy while being far less complex.
Survey 2000 Commercial And Institutional Building Energy Use Detailed Statistical Report
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Author : Canada. Natural Resources Canada
language : en
Publisher:
Release Date : 2002
Survey 2000 Commercial And Institutional Building Energy Use Detailed Statistical Report written by Canada. Natural Resources Canada and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Commercial buildings categories.
Conceptual Database Modeling For Integrated Energy Management In Institutional Buildings
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Author : Karun Malhotra
language : en
Publisher:
Release Date : 2001
Conceptual Database Modeling For Integrated Energy Management In Institutional Buildings written by Karun Malhotra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Architecture and energy conservation categories.
Sustainable Energy Management Of Institutional Buildings Through Load Prediction Models
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Author : Idelfonso B. R. Nogueira
language : en
Publisher:
Release Date : 2019
Sustainable Energy Management Of Institutional Buildings Through Load Prediction Models written by Idelfonso B. R. Nogueira and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Electronic books categories.
Institutional buildings need smart techniques to predict the energy consumption in a smart grids,Äô framework. Here, the importance of dynamic load forecasting as a tool to support the decision in smart grids is addressed. In addition, it is reviewed the energy consumption patterns of institutional buildings and the state-of-the-art of load forecast modeling using artificial neural networks. The discussion is supported by historical data from energy consumption in a university building. These data are used to develop a reliable model for the prediction of the electric load in a campus. A neural network model was developed, which can forecast the load with an average error of 6.5%, and this model can also be used as a decision tool to assess the convenience of supplying this load with a set of renewable energy sources. Statistical data that measure the availability of the local renewable sources can be compared with a load model in order to assess how well these energy sources match the energy needs of buildings. This novel application of load models was applied to the campus where a good correlation (Pearson coefficient of 0.803) was found between energy demand and the availability of the solar resource in the campus.