<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Reshma Singh</style></author><author><style face="normal" font="default" size="100%">Baptiste Ravache</style></author><author><style face="normal" font="default" size="100%">Spencer M. Dutton</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">CLIMATE-SPECIFIC MODELING AND ANALYSIS FOR BEST-PRACTICE INDIAN OFFICE BUILDINGS</style></title><secondary-title><style face="normal" font="default" size="100%">BS2015: 14th Conference of International Building Performance Simulation Association</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Climate specific building energy models</style></keyword><keyword><style  face="normal" font="default" size="100%">india</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">12/2015</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ibpsa.org/proceedings/BS2015/p2714.pdf</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Hyderabad, India</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This paper describes the methodology and results of building energy modeling to validate and quantify the energy savings from conservation measures in medium-sized office buildings in four different climate zones in India. We present the different energy measures and their expected and simulated performances and discuss the results and the influence of climate.&amp;nbsp;&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kristen Parrish</style></author><author><style face="normal" font="default" size="100%">Reshma Singh</style></author><author><style face="normal" font="default" size="100%">Szu-Cheng Chien</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Role of International Partnerships in Delivering Low- Energy Building Design: A Case Study of the Singapore Scientific Planning Process</style></title><secondary-title><style face="normal" font="default" size="100%">Sustainable Cities and Society</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">05/2014</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">14</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This paper explores the role of international partnerships to facilitate low-energy building&lt;br /&gt;design, construction, and operations. We briefly discuss multiple collaboration models&lt;br /&gt;and the levels of impact they support. We present a case study of one collaborative&lt;br /&gt;partnership model, the Scientific Planning Support (SPS) team. Staff from the Lawrence&lt;br /&gt;Berkeley National Laboratory, the Austrian Institute of Technology, and Nanyang&lt;br /&gt;Technological University formed the SPS team to provide design assistance and process&lt;br /&gt;support during the design phase of a low-energy building project. Specifically, the SPS&lt;br /&gt;team worked on the Clean Tech Two project, a tenanted laboratory and office building&lt;br /&gt;that seeks Green Mark Platinum, the highest green building certification in Singapore.&lt;br /&gt;The SPS team hosted design charrettes, helped to develop design alternatives, and&lt;br /&gt;provided suggestions on the design process in support of this aggressive energy target.&lt;br /&gt;This paper describes these efforts and discusses how teams like the SPS team and other&amp;nbsp;&lt;span style=&quot;font-size: 13.008px;&quot;&gt;partnership schemes can be leveraged to achieve high performance, low-energy buildings&lt;/span&gt;&lt;span style=&quot;font-size: 13.008px;&quot;&gt;at an international scale.&lt;/span&gt;&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">K. Nandha Kumar</style></author><author><style face="normal" font="default" size="100%">B. Sivaneasan</style></author><author><style face="normal" font="default" size="100%">P.L. So</style></author><author><style face="normal" font="default" size="100%">H.B. Gooi</style></author><author><style face="normal" font="default" size="100%">Nilesh Jadhav</style></author><author><style face="normal" font="default" size="100%">Reshma Singh</style></author><author><style face="normal" font="default" size="100%">Chris Marnay</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Sustainable Campus with PEV and Microgrid</style></title><secondary-title><style face="normal" font="default" size="100%">2012 ACEEE Summer Study on Energy Efficiency in Buildings</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">buildings</style></keyword><keyword><style  face="normal" font="default" size="100%">campus</style></keyword><keyword><style  face="normal" font="default" size="100%">electric vehicles</style></keyword><keyword><style  face="normal" font="default" size="100%">energy</style></keyword><keyword><style  face="normal" font="default" size="100%">loads</style></keyword><keyword><style  face="normal" font="default" size="100%">microgrids</style></keyword><keyword><style  face="normal" font="default" size="100%">renewable energy</style></keyword><keyword><style  face="normal" font="default" size="100%">transport</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://aceee.org/files/proceedings/2012/data/papers/0193-000363.pdf</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Pacific Grove, CA</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Market penetration of electric vehicles (EVs) is gaining momentum, as is the move&lt;br /&gt;towards increasingly distributed, clean and renewable electricity sources. EV charging shifts a&lt;br /&gt;significant portion of transportation energy use onto building electricity meters. Hence,&lt;br /&gt;integration strategies for energy-efficiency in buildings and transport sectors are of increasing&lt;br /&gt;importance. This paper focuses on a portion of that integration: the analysis of an optimal&lt;br /&gt;interaction of EVs with a building-serving transformer, and coupling it to a microgrid that&lt;br /&gt;includes PV, a fuel cell and a natural gas micro-turbine. The test-case is the Nanyang&lt;br /&gt;Technological University (NTU), Singapore campus. The system under study is the Laboratory&lt;br /&gt;of Clean Energy Research (LaCER) Lab that houses the award winning Microgrid Energy&lt;br /&gt;Management System (MG-EMS) project. The paper analyses three different case scenarios to&lt;br /&gt;estimate the number of EVs that can be supported by the building transformer serving LaCER.&lt;br /&gt;An approximation of the actual load data collected for the building into different time intervals is&lt;br /&gt;performed for a transformer loss of life (LOL) calculation. The additional EV loads that can be&lt;br /&gt;supported by the transformer with and without the microgrid are analyzed. The numbers of&lt;br /&gt;possible EVs that can be charged at any given time under the three scenarios are also determined.&lt;br /&gt;The possibility of using EV fleet at NTU campus to achieve demand response capability and&lt;br /&gt;intermittent PV output leveling through vehicle to grid (V2G) technology and building energy&lt;br /&gt;management systems is also explored.&lt;/p&gt;</style></abstract></record></records></xml>