000097259 001__ 97259
000097259 005__ 20230519145455.0
000097259 0247_ $$2doi$$a10.2298/TSCI200718335M
000097259 0248_ $$2sideral$$a121062
000097259 037__ $$aART-2021-121062
000097259 041__ $$aeng
000097259 100__ $$aMelo, Filipi Maciel
000097259 245__ $$aOptimization and sensitivity analyses of a combined cooling, heat and power system for a residential building
000097259 260__ $$c2021
000097259 5060_ $$aAccess copy available to the general public$$fUnrestricted
000097259 5203_ $$aIn the quest for a better use of energy resources, energy integration and cogeneration strategies have been employed in the industrial and commercial sectors with considerable benefits realized. However, the residential sector remains underexplored. An optimization procedure should be carried out whenever there is a need to ensure or verify the economic viability of an energy system. This study uses Mixed Integer Linear Programming to optimize the energy supply to a residential building, with 20 floors and 40 apartments, located in the city of João Pessoa (Northeast Brazil). The equipment available includes gas engines, electric and natural gas boilers, heat exchangers, cooling towers, and absorption and mechanical chillers. The optimization establishes the optimal system configuration and operational strategy (operation throughout the year). Economic, technical, and legal aspects were considered in the minimization of the total annual costs associated with the building's energy supply. The energy demands were calculated on an hourly basis, throughout one year, by the EnergyPlus software and corresponded to hot water (83 MWh/year), electricity (171 MWh/year) and cooling (242 MWh/year) demands. The optimal system was entirely reliant on the electric grid to meet the electricity demand directly and to satisfy heating and cooling demands by means of an electric hot water boiler and a mechanical chiller. The optimal solution is tested by varying, within reasonable limits, selected parameters: natural gas and electricity tariffs, the behavior of residents, amortization factor and relationship between the tariffs of electricity and natural gas.
000097259 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T55-17R$$9info:eu-repo/grantAgreement/ES/MINECO/ENE2017-87711-R
000097259 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000097259 590__ $$a1.971$$b2021
000097259 591__ $$aTHERMODYNAMICS$$b44 / 63 = 0.698$$c2021$$dQ3$$eT3
000097259 594__ $$a2.7$$b2021
000097259 592__ $$a0.377$$b2021
000097259 593__ $$aRenewable Energy, Sustainability and the Environment$$c2021$$dQ3
000097259 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000097259 700__ $$0(orcid)0000-0001-8350-6485$$aPina, Eduardo Antonio
000097259 700__ $$aCarvalho, Monica
000097259 7102_ $$15004$$2590$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Máquinas y Motores Térmi.
000097259 773__ $$g25, 5 (2021), 3969-3986$$pThermal Science$$tThermal Science$$x0354-9836
000097259 8564_ $$s587196$$uhttps://zaguan.unizar.es/record/97259/files/texto_completo.pdf$$yVersión publicada
000097259 8564_ $$s393802$$uhttps://zaguan.unizar.es/record/97259/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000097259 909CO $$ooai:zaguan.unizar.es:97259$$particulos$$pdriver
000097259 951__ $$a2023-05-18-14:49:45
000097259 980__ $$aARTICLE