Abstract
Small and modular Distributed Generation (DG), such as fuel cells, can be used for onsite service within smart buildings to cover a part of the electrical and thermal load demand. In this case, the optimal capacity and output from the used generating unit(s) can be calculated to supply a part of load demand, where the excess/lack of power is exported to/imported from the utility. Minimization of the energy price is a main target in this case to achieve win–win situation and to enable DG units to participate as a source of power with the utility. This can be achieved by the optimal management of the daily performance of the candidate DG unit(s), such as proton exchange membrane (PEM) fuel cells located in smart buildings. The process could be developed to include multi-DG units in the building in a cooperative manner. The simultaneous generation of electrical and thermal energy has to consider the load requirements in an economic framework. Smart meters are required to account for the surplus/shortage energy that is exported to/imported from the utility, respectively. The main challenge when using such units in residential applications is their high cost. Therefore, the management process depends on an accurate economic model to describe all operating costs considering both electrical and thermal relations. Due to the discontinuity and nonlinearity of the model, a robust optimization tool has to be utilized.
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Abbreviations
- C NGFC, i :
-
Overall daily natural-gas cost for FC at home “i” ($/day)
- CNGRL,i:
-
Overall daily natural-gas cost to feed remaining thermal load in home “i” ($/day)
- C o & m fc , i :
-
Overall daily operating and maintenance cost of FC at home “i” ($/day)
- C purc, i :
-
Overall daily cost of purchased electricity for home “i” ($/day)
- C sold, i :
-
Overall daily revenue due to sold electricity by home “i” ($/day)
- C TOTAL :
-
The overall daily operating cost of entire system ($/day)
- DS:
-
The data size (bytes)
- FCo&m:
-
Daily operation and maintenance constant of PEMFC ($/kWh)
- L :
-
The required latency
- L el , J , i :
-
Electrical load demand of home “i” at interval “J” (kW)
- L th , J , i :
-
Thermal load demand of home “i” at interval “J” (kW)
- MRT:
-
The minimum running period of the FC (h)
- MST:
-
The minimum stop periods of the FC (h)
- N :
-
Number of FC units
- N C :
-
The number of consumers (s)
- N max , i :
-
The maximum number of start and stops allowed for the FC at home “i” per day
- NR:
-
The network data rate (bps)
- n :
-
Number of residential homes included in the study
- n (start − stop), i :
-
The number of starts and stops of FC at home “i” per day
- NU:
-
The number of unknowns
- P aux, i :
-
Electrical power consumed by auxiliary devices of FC at home “i” (kW)
- P el , J , i :
-
Electric power produced by DG units at home “i” at interval “J” (kW)
- P excess :
-
The surplus thermal power that is stored as hot water or dissipated (kW)
- P fc ( elect), i :
-
Produced electric power in FC at home “i” (kW)
- P fc ( therm), i :
-
Output thermal power from FC in home “i” (kW)
- P grid, i :
-
Purchased/Sold electric power from/to the grid in home “i” (kW)
- P i , J − 1 :
-
The power generated by the FC in home “i” at interval “J−1” (kW)
- P J , i :
-
FC electrical power at home “i” at interval “J” (kW)
- P load ( elect), i :
-
Electric load demand in home “i” (kW)
- P load ( therm), i :
-
Thermal load demand of home “i” (kW)
- P max , i :
-
Maximum limit of generated power from FC at home “i” (kW)
- P min , i :
-
Minimum limit of generated power from FC at home “i” (kW)
- P ng , i :
-
Thermal power through direct burning of natural gas in home “i” (kW)
- P th , J , i :
-
FC thermal power in home “i” at interval “J” (kW)
- SCi:
-
Daily start-up cost of the FC in home “i” ($/day)
- T el−p :
-
Sold electricity tariff ($/kWh)
- T el−s :
-
Purchased electricity Tariff ($/kWh)
- T ng−fc :
-
Natural gas tariff for supplying FCs ($/day)
- T ng−rl :
-
Natural gas tariff for supplying thermal loads ($/kWh)
- T off :
-
The time duration, where the FC unit at home “i” is off (h)
- T t−1 on :
-
The FC running period at time interval “t−1” (h)
- T t−1 off :
-
The FC stop period at time interval “t−1” (h)
- Us:
-
The unit ON/OFF status: Us = 1 for running mode and 0 for stop mode
- ∆PD:
-
The lower limit of the ramp rate (kW/h)
- ∆Pu:
-
The upper limit of the ramp rate (kW/h)
- ∆T:
-
Time interval between two successive settings of FC (h)
- η J , i :
-
FC electrical efficiency in home “i” at interval “J”
- €i:
-
Hot start-up cost of FC at home “i” ($)
- €i + φi:
-
Cold start-up cost of FC at home “i” ($)
- τ :
-
The cooling time constant of the FC unit at home “i” (h
- AMI:
-
Advanced Metering Infrastructure
- DG:
-
Distributed Generation
- FC:
-
Fuel Cell
- PEMFC:
-
Proton Exchange Membrane Fuel Cell
- PV:
-
Photovoltaic
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Appendices
Appendix A
The following Table gives the Fuel cell parameters used in the economic model of a single unit.
Value | Unit | |
---|---|---|
KO&M | 0.005 | $/kWh |
MST | 1.5 | h |
MRT | 1.5 | h |
Nmax | 4.0 | – |
Pa | 0.2 | kW |
Pmax | 4.0 | kW |
Pmin | 0.2 | kW |
αh | 0.05 | $ |
β | 0.15 | $ |
∆PU | 8.0 | kW/h |
∆PD | 10.0 | kW/h |
τ | 0.75 | h |
The relationship linking FC efficiency with the produced electrical power is given as follows:
The relationship linking Fc thermal power with the produced electrical power is given as follows:
Appendix B
Fuel cells parameters used in t economic model of three units
The parameters are the same for the three units assuming that they are identical.
Value | Unit | |
---|---|---|
\(K_{O\& M}\) | 0.005 | $/kWh |
MDT | 1.5 | h |
MUT | 1.5 | h |
Nmax | 4.0 | – |
Pa | 0.08 | kW |
Pmax | 1.35 | kW |
Pmin | 0.1 | kW |
αh | 0.02 | $ |
β | 0.06 | $ |
∆PU | 4.0 | kW/h |
∆PD | 5.0 | kW/h |
τ | 0.5 | h |
The relationship linking FC efficiency with the produced electrical power is given as follows:
The relationship linking FC thermal power with the produced electrical power is given as follows:
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Azmy, A.M. (2022). Management of Distributed Generation for Smart Buildings. In: Das, S.K., Islam, M.R., Xu, W. (eds) Advances in Control Techniques for Smart Grid Applications. Springer, Singapore. https://doi.org/10.1007/978-981-16-9856-9_7
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