haku: @supervisor Lahdelma, Risto / yhteensä: 196
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| Tekijä: | Perunka, Pekka |
| Työn nimi: | The Economic Performance of Demand Optimized Elevator System |
| Teho-optimoidun hissijärjestelmän taloudellinen kannattavuus | |
| Julkaisutyyppi: | Diplomityö |
| Julkaisuvuosi: | 2016 |
| Sivut: | (8) + 76 s. + liitt. 7 Kieli: eng |
| Koulu/Laitos/Osasto: | Insinööritieteiden korkeakoulu |
| Oppiaine: | Energiatekniikka (K3007) |
| Valvoja: | Lahdelma, Risto |
| Ohjaaja: | Tyni, Tapio |
| Elektroninen julkaisu: | http://urn.fi/URN:NBN:fi:aalto-201605262271 |
| Sijainti: | P1 Ark Aalto 3880 | Arkisto |
| Avainsanat: | Demand Optimization Elevator Systems Demand Response Energy Storage Elevator Scheduling teho-optimointi hissijärjestelmä ryhmäohjaus kysyntäjousto tehomaksu kuormanohjaus |
| Tiivistelmä (eng): | This master's thesis ultimately frames a business case for Demand Optimized Elevator System and proposes a strategy of implementation that maximizes the economic performance of such system. The demand optimization in mid-rise and high-rise elevator systems is approached by two demand control strategies: through optimal elevator scheduling and by utilizing an energy storage. These two approaches are mutually non-exclusive and one can be implemented without another. The study suggests that demand optimized elevator system would achieve the greatest cost savings in building power system assets due to smaller feeder cables, reduced supply transformer sizing and reduced capacity requirements for back-up generators. Demand optimization would lower the load volatility of the elevator group and thus create less overall strain on the building power distribution system. These capital cost savings would primarily benefit the building constructor/developer as a result of decreased construction costs. Contrary to initial hypothesis, demand charge reductions can be only seen as a secondary benefit of Demand Optimized Elevator System. This is because the integrated demand metering that most of the utilities have in place does not encourage decreasing few second long transient power peaks. Furthermore, analysis showed that coincidence between building power demand and time-varying electricity costs can have a significant impact on the profitability of energy storage investment. In the studied case building, reducing transient peak power through elevator scheduling yielded capital cost savings of roughly 400 000E in building power system assets. On the other hand, energy storage was estimated to achieve 18% higher transient peak power reduction than elevator scheduling and also to provide additional electricity cost savings, but these increased benefits have to be valued against the capital cost of an energy storage system. On average, the small-sized (30kWh) energy storage turned out to have the best combination of cost savings and low enough investment costs to be profitable. |
| ED: | 2016-05-29 |
INSSI tietueen numero: 53689
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