Pregled bibliografske jedinice broj: 972276
Beijing Subsidiary Administrative Center Multi- Energy Systems: An Optimal Configuration Planning
Beijing Subsidiary Administrative Center Multi- Energy Systems: An Optimal Configuration Planning // 11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion
Cavtat, Hrvatska, 2018. str. - (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 972276 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Beijing Subsidiary Administrative Center Multi- Energy Systems: An Optimal Configuration Planning
Autori
Wujing, Huang ; Ning Zhang ; Chongqing, Kang ; Capuder, Tomislav ; Holjevac, Ninoslav ; Kuzle, Igor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion
/ - , 2018
Skup
11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER)
Mjesto i datum
Cavtat, Hrvatska, 12.11.2018. - 15.11.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
configuration planning ; energy hub ; energy storage ; multi-energy systems ; renewable energy
Sažetak
Multi-energy systems (MES) contribute to increasing energy utilization efficiency and renewable energy accommodation by coupling multiple energy sectors. Beijing is planning to build a subsidiary administrative center in Tongzhou District. A new MES will be built in this center from scratch to jointly meet electricity, heat and cooling demands. This raises the need for optimizing the configuration of MES across multiple energy sectors at the planning stage. In this paper, the configuration planning of the MES in Beijing’s new subsidiary administrative center is conducted using a two-stage mixed-integer linear programming approach based on the energy hub model. Given the load demand, distributed renewable energy sources, energy price and candidate system component parameters, both the MES configuration and the equipment selection are presented as results of the developed mixed-integer linear programming optimization model. A sensitivity analysis is performed to show the impacts of load profiles and energy prices on the optimal MES configuration.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb