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Leon R. Glicksman. Brown, Carrie Ann, Ph. D. Massachusetts Institute of Technology Massachusetts Institute of Technology. Dept. of Architecture. Massachusetts Institute of Technology. Department of Architecture 2013-03-13T15:45:36Z 2013-03-13T15:45:36Z 2012 2012 http://hdl.handle.net/1721.1/77776 827789567 Thesis (Ph. D. in Building Technology)--Massachusetts Institute of Technology, Dept. of Architecture, 2012. Cataloged from PDF version of thesis. Includes bibliographical references (p. 119-125). Recently, there has been a push toward zero net energy buildings (ZNEBs). While there are many options to reduce the energy used in buildings, it is often difficult to determine which are the most appropriate technologies to implement. To reach zero energy, some designs extensively rely on the use of photovoltaics (PV) to meet the building load, without first exploring the benefits of deep energy efficiency measures. To minimize energy use in a cost effective manner, a tool has been developed to help compare distributed generation (DG) alternatives with energy efficiency measures early in the design process. It was designed to be accessible to non-technical users and to allow them to set up and run simulations in just a few minutes. The tool was built on top of Design Advisor, which provides the capability to analyze a suite of energy efficiency measures such as insulation, window type, schedules, and HVAC types, as well as green and cool roofs. New modules that have been developed for Design Advisor include: heat pumps, absorption chillers, PV, cogeneration, and cost. Using capital cost above baseline as the independent variable, the tool outputs the net annual energy use and total cost (capital and energy) for each case analyzed in the optimization. This allows the user to understand the range of technologies and costs involved along the path from the basecase to a ZNEB. by Carrie Ann Brown. Ph.D. in Building Technology 125 p. eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Architecture. Toward zero net energy buildings : optimized for energy use and cost Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="ec23e5df-9dcc-4d0a-b923-0089353dc0f0"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Toward zero net energy buildings : optimized for energy use and cost</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2012</PublicationDate> <Authors> <Author> <DisplayName>Brown, Carrie Ann, Ph. D. Massachusetts Institute of Technology</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Architecture.</Keyword> <Abstract>Recently, there has been a push toward zero net energy buildings (ZNEBs). While there are many options to reduce the energy used in buildings, it is often difficult to determine which are the most appropriate technologies to implement. To reach zero energy, some designs extensively rely on the use of photovoltaics (PV) to meet the building load, without first exploring the benefits of deep energy efficiency measures. To minimize energy use in a cost effective manner, a tool has been developed to help compare distributed generation (DG) alternatives with energy efficiency measures early in the design process. It was designed to be accessible to non-technical users and to allow them to set up and run simulations in just a few minutes. The tool was built on top of Design Advisor, which provides the capability to analyze a suite of energy efficiency measures such as insulation, window type, schedules, and HVAC types, as well as green and cool roofs. New modules that have been developed for Design Advisor include: heat pumps, absorption chillers, PV, cogeneration, and cost. Using capital cost above baseline as the independent variable, the tool outputs the net annual energy use and total cost (capital and energy) for each case analyzed in the optimization. This allows the user to understand the range of technologies and costs involved along the path from the basecase to a ZNEB.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>