00428nas a2200133   4500008004100000245003700041210003700078260001200115653003300127653001300160100002000173700001600193856008500209       2019                        eng d00aQuayside Energy Systems Analysis0 aQuayside Energy Systems Analysis  c03/201910aDistrict Heating and cooling10amodelica1 aWetter, Michael1 aHu, Jianjun  uhttps://simulationresearch.lbl.gov/publications/quayside-energy-systems-analysis02081nas a2200217   4500008004100000245010200041210006900143490000800212520134200220653002201562653002401584653003301608653001901641653002201660653002201682100002101704700001501725700001901740700002201759856008201781       2018                        eng d00aQuantifying the benefits of a building retrofit using an integrated system approach: A case study0 aQuantifying the benefits of a building retrofit using an integra0 v1593 a<p>Building retrofits provide a large opportunity to significantly reduce energy consumption in the buildings sector. Traditional building retrofits focus on equipment upgrades, often at the end of equipment life or failure, and result in replacement with marginally improved similar technology and limited energy savings. The Integrated System (IS) retrofit approach enables much greater energy savings by leveraging interactive effects between end use systems, enabling downsized or lower energy technologies. This paper presents a case study in Hawaii quantifying the benefits of an IS retrofit approach compared to two traditional retrofit approaches: a Standard Practice of upgrading equipment to meet minimum code requirements, and an Improved Practice of upgrading equipment to a higher efficiency. The IS approach showed an energy savings of 84% over existing building energy use, much higher than the traditional approaches of 13% and 33%. The IS retrofit also demonstrated the greatest energy cost savings potential. While the degree of savings realized from the IS approach will vary by building and climate, these findings indicate that savings on the order of 50% and greater are not possible without an IS approach. It is therefore recommended that the IS approach be universally adopted to achieve deep energy savings.</p>10aBuilding retrofit10abuilding simulation10aEnergy conservation measures10aenergy savings10aintegrated design10aintegrated system1 aRegnier, Cynthia1 aSun, Kaiyu1 aHong, Tianzhen1 aPiette, Mary, Ann  uhttps://simulationresearch.lbl.gov/publications/quantifying-benefits-building01529nas a2200157   4500008004100000245009000041210006900131300001000200490000600210520097900216100002001195700002501215700002301240700001801263856009001281       2000                        eng d00aQualitative Comparison of North American and U.K. Cooling Load Calculation Procedures0 aQualitative Comparison of North American and UK Cooling Load Cal  a75-990 v63 a<p>A qualitative comparison is presented between three current North American and U.K. design cooling load calculation methods. The methods compared are the ASHRAE Heat Balance Method, the Radiant Time Series Method and the Admittance Method, used in the U.K. The methods are compared and contrasted in terms of their overall structure. In order to generate the values of the 24 hourly cooling loads, comparison was also made in terms of the processing of the input data and the solution of the equations required. Specific comparisons are made between the approximations used by the three calculation methods to model some of the principal heat transfer mechanisms. Conclusions are drawn regarding the ability of the simplified methods to correctly predict peak-cooling loads compared to the Heat Balance Method predictions. Comment is also made on the potential for developing similar approaches to cooling load calculation in the U.K. and North America in the future.</p>1 aRees, Simon, J.1 aSpitler, Jeffrey, D.1 aDavies, Morris, G.1 aHaves, Philip  uhttps://simulationresearch.lbl.gov/publications/qualitative-comparison-north-american00504nas a2200181   4500008004100000245002700041210002600068260001200094300001200106490000800118100002200126700002100148700001800169700002100187700002300208700002000231856007100251       1974                        eng d00aQSOs of High Redshift?0 aQSOs of High Redshift  c11/1974  a209-2100 v2521 aBrowne, Ian, W.A.1 aBentley, Michael1 aHaves, Philip1 aMcEwan, Neil, J.1 aSpencer, Ralph, E.1 aStannard, David  uhttps://simulationresearch.lbl.gov/publications/qsos-high-redshift