Abstract
Rooftop photovoltaic (PV) systems are represented as projected technology to achieve net-zero energy building (NEZB). In this research, a novel energy structure based on rooftop PV with electric-hydrogen-thermal hybrid energy storage is analyzed and optimized to provide electricity and heating load of residential buildings. First, the mathematical model, constraints, objective function, and evaluation indicators are given. Then, the simulation is conducted under the stand-alone condition. The annual return on investment and the levelized cost of energy of the system are 36.37% and 0.1016 $/kWh, respectively. Residential building with the proposed system decreases annual carbon emission by 25.5 t. In the third part, simulation analysis under different grid-connected modes shows that building system will obtain better economics when connected to the grid, but the low-carbon performance will be reduced. Finally, the cumulative seasonal impact of the countywide rooftop PV buildings is discussed. The result indicates that the energy structure proposed in this paper can effectively reduce the grid-connected impact on the local grid. This model and optimization method developed in this paper is applicable to different climate zones and can provide management support to the investors of NZEB before the field test.
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Abbreviations
- ACER:
-
annual carbon emission reduction
- AROI:
-
annual return on investment
- CEUR:
-
comprehensive energy utilization ratio
- CRR:
-
carbon reduction ratio
- EHT-HS:
-
electric-hydrogen-thermal hybrid storage
- EL:
-
electrolyzer
- ES:
-
electric storage
- FC:
-
fuel cell
- HS:
-
hydrogen storage
- LCOE:
-
levelized cost of energy
- NZEB:
-
net-zero energy building
- PV:
-
photovoltaic
- REPR:
-
renewable energy penetration ratio
- SOC:
-
state of charge
- STC:
-
standard test condition
- TOU:
-
time of use
- TS:
-
thermal storage
- act:
-
activated
- ae:
-
ambient
- Buy:
-
buy from power grid
- cell:
-
cell
- char:
-
charging
- cw:
-
cooling water
- dis:
-
discharging
- H2 :
-
hydrogen
- O2 :
-
oxygen
- ohm:
-
ohmic
- pm:
-
peak state
- rated:
-
rated
- real:
-
real-time
- rev:
-
reversible
- sc:
-
short-circuit
- Sell:
-
sell to power grid
- H :
-
thermal power
- I :
-
current
- i :
-
current density
- N :
-
number
- P :
-
electric power
- p :
-
pressure
- Q :
-
quantity of heat
- S :
-
stored energy
- T :
-
temperature
- U :
-
voltage
- V :
-
hydrogen flow rate
- ω T :
-
symbol of centralized heating
- ϕ :
-
SOC
- A :
-
effective surface area
- C :
-
heat capacity
- f :
-
correction factor of PV
- F :
-
Faraday constant
- G :
-
gas constant
- ΔG:
-
change in Gibbs energy
- M :
-
lower calorific value
- M q :
-
molar mass
- M v :
-
molar volume
- r :
-
light intensity
- R :
-
thermal resistance
- ΔS :
-
reaction enthalpies
- γ :
-
self-attenuation rate
- ζ, ς, ξ, Y :
-
empirical parameter
- η :
-
efficiency of charging/discharging
- λ :
-
thickness
- μ F :
-
Faradaic efficiency
- Ψ :
-
water content
- ν :
-
number of electrons transferred
- τ :
-
power-capacity coefficient
- L :
-
lifetime
- x purchase :
-
unit acquisition cost
- x install :
-
unit install cost
- y fix :
-
fixed O&M cost coefficient
- y var :
-
unit variable O&M cost
- \(z_{{\rm{TOU}}}^{{\rm{grid}}}\) :
-
TOU price
- \(z_{{\rm{base price}}}^{{\rm{hot}}\,{\rm{grid}}}\) :
-
basic heating price
- \(z_{{\rm{count price}}}^{{\rm{hot}}\,{\rm{grid}}}\) :
-
metering heating price
- \(z_{{\rm{sell}}}^{{\rm{PV}}}\) :
-
feed-in tariff for PV
- z CCER :
-
price of unit carbon emission right
- \(z_{{\rm{recycle}}}^{{\rm{PV}}}\) :
-
unit recycling price of PV
- ρ :
-
inflation rate
- λ T :
-
carbon emission factor of heat grid
- λ E :
-
carbon emission factor of grid
References
Abdin Z, Webb CJ, Gray EM (2016). PEM fuel cell model and simulation in Matlab-Simulink based on physical parameters. Energy, 116: 1131–1144.
Acar C, Erturk E, Firtina-Ertis I (2023). Performance analysis of a stand-alone integrated solar hydrogen energy system for zero energy buildings. International Journal of Hydrogen Energy, 48: 1664–1684.
Amr AAR, Hassan AAM, Abdel-Salam M, et al. (2019). Enhancement of photovoltaic system performance via passive cooling: Theory versus experiment. Renewable Energy, 140: 88–103.
Bartolini A, Carducci F, Muñoz CB, et al. (2020). Energy storage and multi energy systems in local energy communities with high renewable energy penetration. Renewable Energy, 159: 595–609.
Chellaswamy C, Babu RG, Vanathi A (2021). A framework for building energy management system with residence mounted photovoltaic. Building Simulation, 14: 1031–1046.
Chen Y, Galal K, Athienitis AK (2010). Modeling, design and thermal performance of a BIPV/T system thermally coupled with a ventilated concrete slab in a low energy solar house: Part 2, ventilated concrete slab. Solar Energy, 84: 1908–1919.
Chen K, Xiao X, Tian P, et al. (2023). A comprehensive optimization method for planning and operation of building integrated photovoltaic energy storage system. Proceedings of the CSEE, 43: 5001–5011. (in Chinese)
Dermentzis G, Ochs F, Franzoi N (2021). Four years monitoring of heat pump, solar thermal and PV system in two net-zero energy multi-family buildings. Journal of Building Engineering, 43: 103199.
Ebrahimi M, Derakhshan E (2018). Design and evaluation of a micro combined cooling, heating, and power system based on polymer exchange membrane fuel cell and thermoelectric cooler. Energy Conversion and Management, 171: 507–517.
Gupta R, Sossan F, Paolone M (2021). Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland. Applied Energy, 281: 116010.
Hai T, Ashraf Ali M, Dhahad HA, et al. (2023). Optimal design and transient simulation next to environmental consideration of net-zero energy buildings with green hydrogen production and energy storage system. Fuel, 336: 127126.
Harkouss F, Fardoun F, Biwole PH (2018). Optimization approaches and climates investigations in NZEB—A review. Building Simulation, 11: 923–952.
He Y, Guo S, Dong P, et al. (2022). Techno-economic comparison of different hybrid energy storage systems for off-grid renewable energy applications based on a novel probabilistic reliability index. Applied Energy, 328: 120225.
Islam MS (2018). A techno-economic feasibility analysis of hybrid renewable energy supply options for a grid-connected large office building in southeastern part of France. Sustainable Cities and Society, 38: 492–508.
Izadi A, Shahafve M, Ahmadi P (2022). Neural network genetic algorithm optimization of a transient hybrid renewable energy system with solar/wind and hydrogen storage system for zero energy buildings at various climate conditions. Energy Conversion and Management, 260: 115593.
Jahangir MH, Eslamnezhad S, Ali Mousavi S, et al. (2021). Multi-year sensitivity evaluation to supply prime and deferrable loads for hospital application using hybrid renewable energy systems. Journal of Building Engineering, 40: 102733.
Jung Y, Heo Y, Cho H, et al. (2023). A plan to build a net zero energy building in hydrogen and electricity-based energy scenario in South Korea. Journal of Cleaner Production, 397: 136537.
Liu J, Chen X, Yang H, et al. (2021). Hybrid renewable energy applications in zero-energy buildings and communities integrating battery and hydrogen vehicle storage. Applied Energy, 290: 116733.
Luo Y, Cheng N, Zhang S, et al. (2022). Comprehensive energy, economic, environmental assessment of a building integrated photovoltaic-thermoelectric system with battery storage for net zero energy building. Building Simulation, 15: 1923–1941.
Medina MA, Enteria N (2021). Progress in the realization of zero energy buildings. Solar Energy, 230: 703.
Mehrjerdi H, Iqbal A, Rakhshani E, et a. (2019). Daily-seasonal operation in net-zero energy building powered by hybrid renewable energies and hydrogen storage systems. Energy Conversion and Management, 201: 112156.
Mokhtara C, Negrou B, Bouferrouk A, et al. (2020). Integrated supply-demand energy management for optimal design of off-grid hybrid renewable energy systems for residential electrification in arid climates. Energy Conversion and Management, 221: 113192.
Nikitin A, Deymi-Dashtebayaz M, Baranov IV, et al. (2023). Energy, exergy, economic and environmental (4E) analysis using a renewable multi-generation system in a near-zero energy building with hot water and hydrogen storage systems. Journal of Energy Storage, 62: 106794.
Pan G, Gu W, Lu Y, et al. (2020). Optimal planning for electricity-hydrogen integrated energy system considering power to hydrogen and heat and seasonal storage. IEEE Transactions on Sustainable Energy, 11: 2662–2676.
Panicker K, Anand P, George A (2023). Assessment of building energy performance integrated with solar PV: towards a net zero energy residential campus in India. Energy and Buildings, 281: 112736.
Renaldi R, Friedrich D (2019). Techno-economic analysis of a solar district heating system with seasonal thermal storage in the UK. Applied Energy, 236: 388–400.
Sánchez M, Amores E, Rodríguez L, et al. (2018). Semi-empirical model and experimental validation for the performance evaluation of a 15 kW alkaline water electrolyzer. International Journal of Hydrogen Energy, 43: 20332–20345.
Shaqour A, Farzaneh H, Yoshida Y, et al. (2020). Power control and simulation of a building integrated stand-alone hybrid PV-wind-battery system in Kasuga City, Japan. Energy Reports, 6: 1528–1544.
Tian S, Su X, Shao X, et al. (2020). Optimization and evaluation of a solar energy, heat pump and desiccant wheel hybrid system in a nearly zero energy building. Building Simulation, 13: 1291–1303.
Wood DA (2022). Country-wide solar power load profile for Germany 2015 to 2019: The impact of system curtailments on prediction models. Energy Conversion and Management, 269: 116096.
Zhang T, Ma Y, Wu Y, et al. (2023). Optimization configuration and application value assessment modeling of hybrid energy storage in the new power system with multi-flexible resources coupling. Journal of Energy Storage, 62: 106876.
Zhou J, Wu Y, Zhong Z, et al. (2021). Modeling and configuration optimization of the natural gas-wind-photovoltaic-hydrogen integrated energy system: A novel deviation satisfaction strategy. Energy Conversion and Management, 243: 114340.
Acknowledgements
This research is supported by the National Key Research and Development Program of China (No. 2021YFE0102400), the Social Science Foundation of Beijing (22JCC092), the State Key Laboratory of Power System Operation and Control (SKLD22KM16).
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Haoxin Dong: conceptualization, methodology, investigation, software, visualization, writing—original draft. Chuanbo Xu: resources, supervision, funding acquisition. Wenjun Chen: resources, supervision.
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Dong, H., Xu, C. & Chen, W. Modeling and configuration optimization of the rooftop photovoltaic with electric-hydrogen-thermal hybrid storage system for zero-energy buildings: Consider a cumulative seasonal effect. Build. Simul. 16, 1799–1819 (2023). https://doi.org/10.1007/s12273-023-1066-5
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DOI: https://doi.org/10.1007/s12273-023-1066-5