000119824 001__ 119824
000119824 005__ 20240319081005.0
000119824 0247_ $$2doi$$a10.1016/j.energy.2022.125299
000119824 0248_ $$2sideral$$a130661
000119824 037__ $$aART-2022-130661
000119824 041__ $$aeng
000119824 100__ $$0(orcid)0000-0002-4411-9834$$aLozano, Miguel A.$$uUniversidad de Zaragoza
000119824 245__ $$aOptimal design of trigeneration systems for buildings considering cooperative game theory for allocating production cost to energy services
000119824 260__ $$c2022
000119824 5060_ $$aAccess copy available to the general public$$fUnrestricted
000119824 5203_ $$aIn the design of trigeneration plants for buildings, two fundamental issues must be addressed: the synthesis of the plant configuration (installed technologies and capacity, etc.) and the operational planning. Given the variety of technology options available and great diurnal and annual fluctuations in energy demands, finding the optimal supply system of energy services is a complex task.
Cost allocation in multi-product systems requires special attention because the way in which allocation is made will affect the prices of the final products and, consequently, the consumers' behaviour. When a polygeneration plant is designed to serve different products, it is possible to achieve a lower total cost. However, if potential consumers are free to participate, the system's management should ensure that every participant shares the benefit of joint production. In trigeneration systems this implies that all consumers should achieve, at least, a lower cost for their demanded energy services than operating separately.
The present work proposes a Mixed Integer Linear Programming model to determine the optimal configuration of trigeneration systems that must cover the energy demands of electricity, heating and cooling of a residential complex located in Zaragoza, Spain. The model considers the possibility of using a set of proposed alternative technologies within a superstructure and considers the optimal operation throughout a typical meteorological year. The objective function to be minimized is the total annual cost.
The results indicate that compared to consumers standing alone, the optimal trigeneration system can achieve 10.6% cost saving. Ten different cost assessment methods to the three final energy products of the analyzed trigeneration system are rigorously compared. Cooperative game theory shows that all consumers benefit. Using the Shapley values as the distribution criterion, the savings for electricity, heating and cooling consumers are 4.8%, 20.9% and 11.1%, respectively.
000119824 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2020-115500RB-I00$$9info:eu-repo/grantAgreement/ES/DGA/T55-20R
000119824 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/
000119824 590__ $$a8.9$$b2022
000119824 592__ $$a1.989$$b2022
000119824 591__ $$aTHERMODYNAMICS$$b3 / 63 = 0.048$$c2022$$dQ1$$eT1
000119824 591__ $$aENERGY & FUELS$$b23 / 119 = 0.193$$c2022$$dQ1$$eT1
000119824 593__ $$aBuilding and Construction$$c2022$$dQ1
000119824 593__ $$aCivil and Structural Engineering$$c2022$$dQ1
000119824 593__ $$aElectrical and Electronic Engineering$$c2022$$dQ1
000119824 593__ $$aEnergy (miscellaneous)$$c2022$$dQ1
000119824 593__ $$aEnergy Engineering and Power Technology$$c2022$$dQ1
000119824 593__ $$aRenewable Energy, Sustainability and the Environment$$c2022$$dQ1
000119824 593__ $$aIndustrial and Manufacturing Engineering$$c2022$$dQ1
000119824 593__ $$aManagement, Monitoring, Policy and Law$$c2022$$dQ1
000119824 593__ $$aMechanical Engineering$$c2022$$dQ1
000119824 593__ $$aModeling and Simulation$$c2022$$dQ1
000119824 593__ $$aPollution$$c2022$$dQ1
000119824 593__ $$aFuel Technology$$c2022$$dQ1
000119824 594__ $$a14.9$$b2022
000119824 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000119824 700__ $$0(orcid)0000-0002-5161-7209$$aSerra, Luis M.$$uUniversidad de Zaragoza
000119824 700__ $$0(orcid)0000-0001-8350-6485$$aPina, Eduardo A.$$uUniversidad de Zaragoza
000119824 7102_ $$15004$$2590$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Máquinas y Motores Térmi.
000119824 773__ $$g261 (2022), 125299 [10 pp.]$$pEnergy$$tEnergy$$x0360-5442
000119824 8564_ $$s2014618$$uhttps://zaguan.unizar.es/record/119824/files/texto_completo.pdf$$yVersión publicada
000119824 8564_ $$s2372474$$uhttps://zaguan.unizar.es/record/119824/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000119824 909CO $$ooai:zaguan.unizar.es:119824$$particulos$$pdriver
000119824 951__ $$a2024-03-18-14:31:54
000119824 980__ $$aARTICLE