LEADER 03455nam 2200469 450 001 9910483996103321 005 20210330191024.0 010 $a3-030-66211-X 024 7 $a10.1007/978-3-030-66211-0 035 $a(CKB)4100000011758317 035 $a(DE-He213)978-3-030-66211-0 035 $a(MiAaPQ)EBC6476924 035 $a(PPN)253859905 035 $a(EXLCZ)994100000011758317 100 $a20210330d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep energy retrofit - a guide for decision makers /$fAlexander Zhivov, Ru?diger Lohse 205 $a1st ed. 2021. 210 1$aCham, Switzerland :$cEBC :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (XXI, 84 p. 22 illus., 19 illus. in color.) 225 1 $aSpringerBriefs in applied sciences and technology 311 $a3-030-66210-1 327 $aChapter 1. Introduction -- Chapter 2. Deep Energy Retrofit In Public Buildings -- Chapter 3. What Is Deep Energy Retrofit? -- Chapter 4. Deep Energy Retrofit vs Shallow Renovation -- Chapter 5. Major Renovation And Deep Energy Retrofit -- Chapter 6. Product Delivery Quality Assurance Process -- Chapter 7. How To Make Der Cost Effective? -- Chapter 8. Business Models For Der -- Chapter 9. Der Financing -- Chapter 10. Lessons Learned From Pilot Projects -- Chapter 11. Conclusions -- References -- Acronyms and Abbreviations. 330 $aMany governments worldwide are setting more stringent targets for reductions in energy use in government/public buildings. Buildings constructed more than 10 years ago account for a major share of energy used by the building stock. However, the funding and ?know-how? (applied knowledge) available for owner-directed energy retrofit projects has not kept pace with new requirements. With typical retrofit projects, reduction of energy use varies between 10 and 20%, while actual executed renovation projects show that energy use reduction can exceed 50%, and can cost-effectively achieve the Passive House standard or even approach net zero-energy status (EBC Annex 61 2017a, Hermelink and Müller 2010; NBI 2014; RICS 2013; Shonder and Nasseri 2015; Miller and Higgins 2015; Emmerich et al. 2011). Building energy efficiency (EE) ranks first in approaches with resource efficiency potential with a total resource benefit of approximately $700 billion until 2030. EE is by far the cheapest way to cut CO2 emissions (McKinsey 2011, IPCC 2007). However, according to an IEA study (IEA 2014a), more than 80% of savings potential in building sector remains untapped. Thus, the share of deployed EE in the building sector is lower than in the Industry, Transport, and Energy generation sectors. Estimates for the deep renovation potentials show: ?600-900bn investment potential, ?1000-1300bn savings potential, 70% energy-saving potential, and 90% CO2 reduction potential. 410 0$aSpringerBriefs in applied sciences and technology. 606 $aBuildings$xEnergy conservation 615 0$aBuildings$xEnergy conservation. 676 $a696 700 $aZhivov$b Alexander M.$01228623 702 $aLohse$b Ru?diger 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483996103321 996 $aDeep energy retrofit - a guide for decision makers$92852381 997 $aUNINA LEADER 03281nam a2200409Ii 4500 001 991003244219707536 006 m d 007 cr cn||||||||| 008 070806s2002 ne a sb 001 0 eng d 020 $a9780124438958 020 $a0124438954 035 $ab13654469-39ule_inst 037 $a90686:90686$bElsevier Science & Technology$nhttp://www.sciencedirect.com 040 $aOPELS$cOPELS 049 $aTEFA 082 04$a005.75/8$222 245 00$aDatabase and data communication network systems$h[electronic resource] :$btechniques and applications /$cedited by Cornelius T. Leondes. 260 $aAmsterdam ;$aBoston :$bAcademic Press,$cc2002. 300 $a3 v. :$bill. ;$c27 cm. 504 $aIncludes bibliographical references and index. 520 $aDatabase and Data Communication Network Systems examines the utilization of the Internet and Local Area/Wide Area Networks in all areas of human endeavor. This three-volume set covers, among other topics, database systems, data compression, database architecture, data acquisition, asynchronous transfer mode (ATM) and the practical application of these technologies. The international collection of contributors was culled from exhaustive research of over 100,000 related archival and technical journals. This reference will be indispensable to engineering and computer science libraries, research libraries, and telecommunications, networking, and computer companies. It covers a diverse array of topics, including: * Techniques in emerging database system architectures * Techniques and applications in data mining * Object-oriented database systems * Data acquisition on the WWW during heavy client/server traffic periods * Information exploration on the WWW * Education and training in multimedia database systems * Data structure techniques in rapid prototyping and manufacturing * Wireless ATM in data networks for mobile systems * Applications in corporate finance * Scientific data visualization * Data compression and information retrieval * Techniques in medical systems, intensive care units. 533 $aElectronic reproduction.$bAmsterdam :$cElsevier Science & Technology,$d2007.$nMode of access: World Wide Web.$nSystem requirements: Web browser.$nTitle from title screen (viewed on Aug. 2, 2007).$nAccess may be restricted to users at subscribing institutions. 650 0$aDistributed databases. 650 0$aComputer networks. 650 6$aBases de données$xGestion. 650 6$aDonnées$xTransmission. 655 7$aElectronic books.$2local 700 1 $aLeondes, Cornelius T. 776 1 $cOriginal$z0124438954$z9780124438958$z0124438962$z9780124438965$z0124438970$z9780124438972$z0124438989$z9780124438989$w(DLC) 2001096576$w(OCoLC)53814169 856 40$3Referex$uhttp://www.sciencedirect.com/science/book/9780124438958$zAn electronic book accessible through the World Wide Web; click for information 856 42$zPublisher description$uhttp://catdir.loc.gov/catdir/description/els031/2001096576.html 907 $a.b13654469$b24-02-22$c24-01-08 912 $a991003244219707536 994 $aC0$bTEF 996 $aDatabase and data communication network systems$91212753 997 $aUNISALENTO 998 $ale029$b24-01-08$cm$dm $e-$feng$gne $h0$i0