01336nam--2200373---45--99000266430020331620060113101130.088-7689-137-4000266430USA01000266430(ALEPH)000266430USA0100026643020050927d1998----u0ITAita030506ba-baitaITa|||||||001yyTetti campanietà arcaicaCuma, Pitecusa e gli altri contestiCarlo RescignoRomaG. Bretschneider1998414 p., [33] c. di tav.ill.30 cmPubblicazioni scientifiche del Centro di studi della Magna Grecia dell'Università degli studi di Napoli Federico 2.3. Ser.42001Pubblicazioni scientifiche del Centro di studi della Magna Grecia dell'Università degli studi di Napoli Federico 2.3. Ser.4TegoleCampaniaSec. 7.-6. a.C.691.4RESCIGNO,Carlo591681ITUNPD990002664300203316XI.4.B. 64(X B 804)179069 L.M.X B00181544BKUMAVITALE9020050927USA011807PATRY9020051003USA011149COPAT59020060113USA011011Tetti campani1004454UNISA04400nam 2200973z- 450 9910404083603321202102113-03928-840-7(CKB)4100000011302302(oapen)https://directory.doabooks.org/handle/20.500.12854/45291(oapen)doab45291(EXLCZ)99410000001130230220202102d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierDistrict Heating and Cooling NetworksMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (270 p.)3-03928-839-3 Conventional thermal power generating plants reject a large amount of energy every year. If this rejected heat were to be used through district heating networks, given prior energy valorisation, there would be a noticeable decrease in the amount of fossil fuels imported for heating. As a consequence, benefits would be experienced in the form of an increase in energy efficiency, an improvement in energy security, and a minimisation of emitted greenhouse gases. Given that heat demand is not expected to decrease significantly in the medium term, district heating networks show the greatest potential for the development of cogeneration. Due to their cost competitiveness, flexibility in terms of the ability to use renewable energy resources (such as geothermal or solar thermal) and fossil fuels (more specifically the residual heat from combustion), and the fact that, in some cases, losses to a country/region's energy balance can be easily integrated into district heating networks (which would not be the case in a "fully electric" future), district heating (and cooling) networks and cogeneration could become a key element for a future with greater energy security, while being more sustainable, if appropriate measures were implemented. This book therefore seeks to propose an energy strategy for a number of cities/regions/countries by proposing appropriate measures supported by detailed case studies.History of engineering and technologybicssc4th generation district heatingair-conditioningbaseline modelbig data frameworksbiomassbiomass district heating for rural locationsCFD modelCO2 emissions abatementComputational Fluid Dynamicsdata centerdata mining algorithmsdata streams analysisdistrict coolingdistrict heatingdistrict heating (DH) networkdomesticenergy consumption forecastenergy efficiencyenergy management in renovated buildingenergy predictionenergy system modelinggreenhouse gas emissionsGulf Cooperation Councilheat pumpsheat reusehot climatehydronic pavement systemlow temperature district heating systemlow temperature networkslow-temperature district heatingmachine learningneural networksnZEBoptimal controloptimizationparameter analysisprediction algorithmprimary energy useresidentialretrofitScotlandspace coolingsustainable energythermal inertiathermal-hydraulic performancethermally activated coolingtime delayTRNSYStwin-pipeultralow-temperature district heatingvariable-temperature district heatingverificationHistory of engineering and technologyBorge Diez Davidauth1312856Colmenar Santos AntonioauthRosales Asensio EnriqueauthBOOK9910404083603321District Heating and Cooling Networks3031034UNINA