Performance Comparison of a Distributed Energy System under Different Control Strategies with a Conventional Energy System
Abstract
:Highlights
- ▪
- A distributed energy system with district cooling and heating is simulated.
- ▪
- Four control strategies are proposed and investigated.
- ▪
- Energy, environmental, and economic performance of the proposed control strategies are compared.
- ▪
- Parameter analysis is conducted.
- ▪
- The combination of solar and geothermal energies can strengthen flexibility.
1. Introduction
2. Methodology
2.1. System Description
2.2. System Modelling and Simulation
2.3. Control Strategy
- Case 1
- Heating load of the water tank is mainly supplied by the solar energy. The inadequate part is replenished by the gas boiler. The district heating and cooling demand is entirely supplied by the geothermal heat pump.
- Case 2
- On the basis of case 1, the geothermal heat pump supplies heat to the water tank in the transition season. The hot water in the water tank heats the ground soil in the summer and transition seasons.
- Case 3
- Heating load of the water tank is mainly supplied by the solar energy, and the inadequate part is replenished by the gas boiler. District heating is directly supplied by the solar energy in the early and end heating seasons. The geothermal heat pump supplies heat in the middle heating season. District cooling is supplied by the heat pump. The hot water in the water tank heats the ground soil in the summer and transition seasons.
- Case 4
- Heating load of the water tank is mainly supplied by the combination of solar energy and geothermal heat pump. The inadequate part is replenished by the gas boiler. In the transition season, the geothermal heat pump supplies heat to the water tank. District heating is supported by the solar energy in the heating season and supplemented by the geothermal energy in the middle heating season. District cooling is supplied by the heat pump. The hot water in the water tank heats the ground soil in the summer and transition seasons.
2.4. Evaluation Indicator
3. Results and Discussion
3.1. Energy Comparison
3.1.1. Electricity Consumption Comparison
3.1.2. Comparison of Natural Gas Consumption
3.1.3. Comparison of Primary Energy Saving (PES)
3.2. Operation Cost Comparison
3.3. Comparison of Emission Reduction
3.4. Solar Fraction Comparison
3.5. Soil Annual Heat Imbalance Rate Comparison
4. Conclusions and Further Research
4.1. Conclusions
- (1)
- In DES, the major energy consumption of different cases occurs during winter. DES consumes more electricity and less natural gas than the conventional energy system. The PES of cases 1, 2, 3, and 4 are 36.70%, 44.92%, 39.72%, and 48.04%, respectively. Thus, the construction of DES is beneficial for the optimization of China’s energy consumption structure due to the reduction of PEC.
- (2)
- The operation costs of DES of cases 1 to 4 are 2.96, 2.81, 2.65, and 2.59 × 105 CNY, which are lower than those of the conventional energy system.
- (3)
- DES can reduce CO2, SO2, and dust emissions. In the meantime, the reductions are significantly influenced by the control strategy. The CO2 reductions of cases 1 to 4 are 1.21, 1.49, 1.31, and 1.59 × 105 kg. The SO2 reductions of cases 1 to 4 are 983, 1203, 1064, and 1287 kg. The dust reductions of cases 1 to 4 are 491, 601, 532, and 643 kg, respectively.
- (4)
- The total annual solar collection efficiency values of cases 1 to 4 are 0.34, 0.40, 0.41, and 0.44. The total annual solar fraction of cases 1, 2, 3, and 4 are 0.17, 0.24, 0.23, and 0.27, respectively. The solar collection efficiency is improved due to the operation of seasonal thermal storage for the ground soil.
- (5)
- The soil annual heat imbalance rates of cases 1 to 4 are 45.7%, 18.8%, 17.2%, and 17.0%. The operation of seasonal thermal storage for the ground soil can effectively maintain the soil annual heat balance.
- (6)
- Results reveal that the performance of DES is better than that of the conventional energy system, and case 4 is the best control strategy for DES due to its higher PES and larger emissions reduction, lower operation cost and soil annual heat imbalance rate. The control strategy that heating load is mainly supplied by the combination of solar energy and geothermal heat pump is recommended due to its satisfactory performance and high flexibility.
- A simulation model was proposed considering the energetic, economic, and environmental aspects.
- Four operation strategies were put forward based on the complementary coordination characteristics between different types of energy.
- Results provide guidance for a better operation strategy for DES in hot summer and cold winter climate zones.
4.2. Further Research
Author Contributions
Funding
Conflicts of Interest
Appendix A
Parameter/Input | Value | Units |
---|---|---|
Collector gross area | 264 | m2 |
Fluid heat capacity | 4.190 | kJ/kg K |
Efficiency mode | 1 | |
Tested flow rate | 40 | kg/h m2 |
Intercept efficiency | 0.748 | |
Efficiency slope | 4.58 | kJ/h m2 K |
Efficiency curvature | 0 | kJ/h m2 K2 |
Optical mode | 2 | |
1st order IAM | 0.200000 | |
2nd order IAM | 0 | |
Collector slope | 0 | degrees |
Inlet temperature | 20 | °C |
Inlet flow rate | 20,000 | kg/h |
Ground reflectance | 0.2 |
Parameter/Input | Value | Units |
---|---|---|
Parallel flow mode | 1 | |
Heat capacity of hot side fluid | 4.19 | kJ/kg K |
Heat capacity of cold side fluid | 4.19 | kJ/kg K |
Overall heat transfer coefficient of exchanger | 14,209 | W/K |
Parameter/Input | Value | Units |
---|---|---|
Inlet source temperature | 7 | °C |
Source flow rate | 22,000 | kg/h |
Inlet load temperature | 45 | °C |
Load flow rate | 32,500 | kg/h |
Parameter/Input | Value | Units |
---|---|---|
Variable inlet positions | 2 | |
Tank volume | 22 | m3 |
Fluid heat capacity | 4.190 | kJ/kg K |
Fluid density | 1000 | kg/ m3 |
Tank loss coefficient | 2.5 | kJ/h m2K |
Height of node | 0.3 | m |
Auxiliary heater mode | 1 | |
Node containing heating element-1/2 | 1 | |
Node containing thermostat | 1 | |
Set point temperature for element-1/2 | 55 | °C |
Dead band for heating element-1/2 | 5 | Delta C |
Maximum heating rate of element-1/2 | 348 | kW |
Hot-side temperature | 60 | °C |
Hot-side flow rate | 20,000 | kg/h |
Cold-side temperature | 50 | °C |
Cold-side flow rate | 36,000 | kg/h |
Environment temperature | 27 | °C |
Control signal for element | 1 | |
Control signal for element | 0 |
Parameter/Input | Value | Units |
---|---|---|
Storage volume | 51,927 | m3 |
Borehole depth | 100 | m |
Header depth | 1.5 | m |
Number of boreholes | 22 | |
Storage thermal conductivity | 2 | W/m K |
Storage heat capacity | 5500 | kJ/m3 K |
Reference temperature [A1] | 22 | °C |
Fluid heat capacity | 4.19 | kJ/kg K |
Inlet fluid temperature | 20 | °C |
Inlet flowrate (total) | 32,500 | kg/h |
Air temperature | 20 | °C |
Circulation switch | 1 |
References
- Plans on Prevention and Control of Atmospheric Pollution. Available online: http://www.gov.cn/zwgk/2013-09/12/content_2486773.htm (accessed on 2 September 2019).
- Somma, M.D.; Yan, B.; Bianco, N.; Graditi, G.; Luh, P.B.; Mongibello, L.; Naso, V. Multi objective design optimization of distributed energy systems through cost and exergy assessments. Appl. Energy 2017, 204, 1299–1316. [Google Scholar] [CrossRef]
- Alanne, K.; Saari, A. Distributed energy generation and sustainable development. Renew. Sustain. Energy Rev. 2006, 10, 539–558. [Google Scholar] [CrossRef]
- Zeng, M.; Ouyang, S.J.; Shi, H.; Ge, Y.J.; Qian, Q.Q. Overall review of distributed energy development in China: Status quo, barriers and solutions. Renew. Sustain. Energy Rev. 2015, 50, 1226–1238. [Google Scholar]
- Akorede, M.F.; Hizam, H.; Pouresmaeil, E. Distributed energy resources and benefits to the environment. Renew. Sustain. Energy Rev. 2010, 14, 724–734. [Google Scholar] [CrossRef]
- Han, J.; Ouyang, L.X.; Xu, Y.Z.; Zeng, R.; Kang, S.S.; Zhang, G.Q. Current status of distributed energy system in China. Renew. Sustain. Energy Rev. 2016, 55, 288–297. [Google Scholar] [CrossRef]
- Pan, Y.; Liu, L.C.; Zhu, T.; Zhang, T.; Zhang, J.Y. Feasibility analysis on distributed energy system of Chongming County based on RETScreen software. Energy 2017, 130, 298–306. [Google Scholar] [CrossRef]
- Du, Q.Z.; Cui, C.L.; Zhang, Y.; Zhang, C.; Gang, W.J.; Wang, S.W. Promotion of distributed energy systems integrated with district cooling systems considering uncertainties in energy market and policy in China. Energy Procedia 2018, 149, 256–265. [Google Scholar] [CrossRef]
- Chang, Y.; Gu, Y.; Zhang, L.; Wu, C.; Liang, L. Energy and environmental implications of using geothermal heat pumps in buildings: An example from north China. J. Clean. Prod. 2017, 204, 484–492. [Google Scholar] [CrossRef]
- Huang, B.; Mauerhofer, V. Life cycle sustainability assessment of ground source heat pump in Shanghai, China. J. Clean. Prod. 2016, 119, 207–214. [Google Scholar] [CrossRef]
- Ozgener, O.; Hepbasli, A. Experimental performance analysis of a solar assisted ground-source heat pump greenhouse heating system. Energy Build. 2005, 37, 101–110. [Google Scholar] [CrossRef]
- Rad, F.M.; Fung, A.S.; Leong, W.H. Feasibility of combined solar thermal and ground source heat pump systems in cold climate, Canada. Energy Build. 2013, 61, 224–232. [Google Scholar] [CrossRef]
- Wang, E.Y.; Fung, A.S.; Qi, C.Y.; Leong, W.H. Performance prediction a hybrid solar ground-source heat pump system. Energy Build. 2012, 47, 600–611. [Google Scholar] [CrossRef]
- Kang, L.G.; Yang, J.H.; An, Q.S.; Deng, S.; Zhao, J.; Wang, H.; Li, Z.L. Effects of load following operational strategy on CCHP system with an auxiliary ground source heat pump considering carbon tax and electricity feed in tariff. Appl. Energy 2017, 194, 454–466. [Google Scholar] [CrossRef]
- Cho, H.; Mago, P.J.; Luck, R.; Chamra, L.M. Evaluation of CCHP systems performance based on operational cost, primary energy consumption, and carbon dioxide emission by utilizing an optimal operation scheme. Appl. Energy 2009, 86, 2540–2549. [Google Scholar] [CrossRef]
- Hanafizadeh, P.; Eshraghi, J.; Ahmadi, P.; Sattari, A. Evaluation and sizing of a CCHP system for a commercial and office buildings. J. Build. Eng. 2016, 5, 67–78. [Google Scholar] [CrossRef]
- Mago, P.J.; Hueffed, A.K. Evaluation of a turbine driven CCHP system for large office buildings under different operating strategies. Energ. Build. 2010, 42, 1628–1636. [Google Scholar] [CrossRef]
- Mago, P.J.; Chamra, L.M. Analysis and optimization of CCHP systems based on energy, economical, and environmental considerations. Energ. Build. 2009, 41, 1099–1106. [Google Scholar] [CrossRef]
- Wang, J.J.; Jing, Y.Y.; Zhang, C.F.; Zhai, Z.J. Performance comparison of combined cooling heating and power system in different operation modes. Appl. Energy 2011, 88, 4621–4631. [Google Scholar] [CrossRef]
- Jung, J.; Villaran, M. Optimal planning and design of hybrid renewable energy systems for microgrids. Renew. Sustain. Energy Rev. 2017, 75, 180–191. [Google Scholar] [CrossRef]
- Wei, F.; Wu, Q.H.; Jing, Z.X.; Chen, J.J.; Zhou, X.X. Optimal unit sizing for small-scale integrated energy systems using multi-objective interval optimization and evidential reasoning approach. Energy 2016, 111, 933–946. [Google Scholar] [CrossRef]
- Mehleri, E.D.; Sarimveis, H.; Markatos, N.C.; Papageorgiou, L.G. Optimal design and operation of distributed energy systems: Applied to Greek residential sector. Renew. Energy 2013, 51, 331–342. [Google Scholar] [CrossRef]
- Gao, J.; Zhang, X.; Liu, J.; Li, K.S.; Yang, J. Thermal performance and ground temperature of vertical pile-foundation heat exchangers: A case study. Appl. Energy 2008, 28, 2295–2304. [Google Scholar] [CrossRef]
- Wang, C.S.; Lv, C.X.; Li, P.; Song, G.Y.; Li, S.Q.; Xu, X.D.; Wu, J.Z. Modeling and optimal operation of community integrated energy systems: A case study from China. Appl. Energy 2018, 230, 1242–1254. [Google Scholar] [CrossRef]
- Bellos, E.; Tzivanidis, C.; Moschos, K.; Antonopoulos, K.A. Energetic and financial evaluation of solar assisted heat pump space heating systems. Energy Convers Manag. 2016, 120, 306–319. [Google Scholar] [CrossRef]
- Gao, J.; Kang, J.; Zhang, C.; Gang, W. Energy performance and operation characteristics of distributed energy systems with district cooling systems in subtropical areas under different control strategies. Energy 2018, 153, 849–860. [Google Scholar] [CrossRef]
- Ren, H.B.; Zhou, W.S.; Gao, W.J. Optimal option of distributed energy systems for building complexes in different climate zones in China. Appl. Energy 2012, 91, 156–165. [Google Scholar] [CrossRef]
- Buonomano, A.; Luca, G.D.; Figaj, R.D.; Vanoli, L. Dynamic simulation and thermo-economic analysis of a PhotoVoltaic/Thermal collector heating system for an indoor-outdoor swimming pool. Energy Convers Manag. 2015, 99, 176–192. [Google Scholar] [CrossRef]
- Tagliafico, L.A.; Scarpa, F.; Tagliafico, G.; Valsuani, F. An approach to energy saving assessment of solar assisted heat pumps for swimming pool water heating. Energy Build. 2012, 55, 833–840. [Google Scholar] [CrossRef]
- Ministry of Housing and Urban-Rural Development of the People’s Republic of China. Technical Specification for Water Supply and Drainage Engineering of Swimming Pool (CJJ 122-2017), Ministry of Housing and Urban-Rural Development of the People’s Republic of China; China Architecture & Building Press: Beijing, China, 2017. (In Chinese)
- Klein, S.A.; Beckman, W.A.; Mitchell, J.W.; Duffie, J.A.; Duffie, N.A.; Freeman, T.L.; Mitchell, J.C.; Braun, J.E.; Evans, B.L.; Kummer, J.P.; et al. A transient system simulation program. In Solar Energy Laboratory, TRNSYS; University of Wisconsin Madison: Madison, WI, USA, 2006. [Google Scholar]
- Calise, F.; d’Accadia, M.D.; Figaj, R.D.; Vanoli, L. A novel solar-assisted heat pump driven by photovoltaic/thermal collectors: Dynamic simulation and thermoeconomic optimization. Energy 2016, 95, 346–366. [Google Scholar] [CrossRef]
- Liu, G.; Li, M.; Zhou, B.; Chen, Y.; Liao, S. General indicator for techno-economic assessment of renewable energy resources. Energy Convers. Manag. 2018, 156, 416–426. [Google Scholar] [CrossRef]
- Mauri, L.; Vallati, A.; Ocłon, P. Low impact energy saving strategies for individual heating systems in a modern residential building: A case study in Rome. J. Clean Prod. 2019, 214, 791–802. [Google Scholar] [CrossRef]
- Zheng, R.C. Handbook on Civil Building Solar Water Heating System Engineering; Chemical industry Press: Beijing, China, 2006. (In Chinese) [Google Scholar]
- Rohsenow, W.M.; Hartnett, J.P.; Cho, Y.I. Handbook of Heat Transfer; McGraw-Hill: New York, NY, USA, 1998. [Google Scholar]
- Ministry of Housing and Urban-Rural Development of the People’s Republic of China. Evaluation standard for application of renewable energy in buildings (GB/T 50801-2013). In Ministry of Housing and Urban-Rural Development of the People’s Republic of China; China Architecture & Building Press: Beijing, China, 2013. (In Chinese) [Google Scholar]
- Acuna, A.; Lara, F.; Rosales, P. Impact of a vertical geothermal heat exchanger on the solar fraction of a solar cooling system. Int. J. Refrig. 2017, 76, 63–72. [Google Scholar] [CrossRef]
- Sundar, L.S.; Kirubeil, A.; Punnaiah, V.; Singh, M.K.; Sousa, A.C.M. Effectiveness analysis of solar flat plate collector with Al2O3 water nanofluids and with longitudinal strip inserts. Int. J. Heat Mass Transf. 2018, 127, 422–435. [Google Scholar] [CrossRef]
Component Name | TRNSYS Type |
---|---|
Solar (flat-plate solar collector) | 1b |
Div (flow diverter) | 11f |
Tee | 11h |
Tank (thermal storage) | 4e |
Pump (hydronic) | 3b |
HX (heat exchanger) | 5a |
HP (heat pump) | 668 |
Vertical U-Tubes (geothermal heat exchanger) | 557a |
FSL (flow stream load) | 682 |
Weather | 15-3 |
Controllers | 2b |
Forcing function | 14h |
Stages | Running Hours/h |
---|---|
Summer season | 4015–6070 |
Transition season | 6071–6574 and 3097–4014 |
Winter season (heating season) | 6575–8760 and 0–3096 (next year) |
Early heating season | 6575–7345 |
Middle heating season | 7346–8760 and 0–2214 (next year) |
Later heating season | 2215–3096 |
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Tang, Y.; Liu, Z.; Li, L. Performance Comparison of a Distributed Energy System under Different Control Strategies with a Conventional Energy System. Energies 2019, 12, 4613. https://doi.org/10.3390/en12244613
Tang Y, Liu Z, Li L. Performance Comparison of a Distributed Energy System under Different Control Strategies with a Conventional Energy System. Energies. 2019; 12(24):4613. https://doi.org/10.3390/en12244613
Chicago/Turabian StyleTang, Yifang, Zhiqiang Liu, and Lan Li. 2019. "Performance Comparison of a Distributed Energy System under Different Control Strategies with a Conventional Energy System" Energies 12, no. 24: 4613. https://doi.org/10.3390/en12244613
APA StyleTang, Y., Liu, Z., & Li, L. (2019). Performance Comparison of a Distributed Energy System under Different Control Strategies with a Conventional Energy System. Energies, 12(24), 4613. https://doi.org/10.3390/en12244613