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Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

Postal Subscription Code 80-972

2018 Impact Factor: 1.701

Front. Energy    2022, Vol. 16 Issue (2) : 336-356    https://doi.org/10.1007/s11708-021-0748-x
RESEARCH ARTICLE
Fuel poverty and low carbon emissions: a comparative study of the feasibility of the hybrid renewable energy systems incorporating combined heat and power technology
Dorota RZETELSKA, Madeleine COMBRINCK()
Department of Mechanical and Construction Engineering, Faculty of Engineering and Environment, Northumbria University, Newcastle-upon-Tyne, NE1 8ST, UK
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Abstract

Fuel poverty is most prevalent in North East England with 14.4% of fuel poor households in Newcastle upon Tyne. The aim of this paper was to identify a grid connected renewable energy system coupled with natural gas reciprocating combined heat and power unit, that is cost-effective and technically feasible with a potential to generate a profit from selling energy excess to the grid to help alleviate fuel poverty. The system was also aimed at low carbon emissions. Fourteen models were designed and optimized with the aid of the HOMER Pro software. Models were compared with respect to their economic, technical, and environmental performance. A solution was proposed where restrictions were placed on the size of renewable energy components. This configuration consists of 150 kW CHP, 300 kW PV cells, and 30 kW wind turbines. The renewable fraction is 5.10% and the system yields a carbon saving of 7.9% in comparison with conventional systems. The initial capital investment is $1.24 million which enables the system to have grid sales of 582689 kWh/a. A conservative calculation determined that 40% of the sales can be used to reduce the energy cost of fuel poor households by $706 per annum. This solution has the potential to eliminate fuel poverty at the site analyzed.

Keywords greenhouse gas control      low carbon target      grid connected      renewable fraction      fuel poverty      combined heat and power      HOMER Pro     
Corresponding Author(s): Madeleine COMBRINCK   
About author:

Tongcan Cui and Yizhe Hou contributed equally to this work.

Online First Date: 13 July 2021    Issue Date: 25 May 2022
 Cite this article:   
Dorota RZETELSKA,Madeleine COMBRINCK. Fuel poverty and low carbon emissions: a comparative study of the feasibility of the hybrid renewable energy systems incorporating combined heat and power technology[J]. Front. Energy, 2022, 16(2): 336-356.
 URL:  
https://academic.hep.com.cn/fie/EN/10.1007/s11708-021-0748-x
https://academic.hep.com.cn/fie/EN/Y2022/V16/I2/336
Fig.1  Stanhope Street housing estate in Newcastle upon Tyne as presented in HOMER Pro.
Model components Capacity of renewable energy technologies Model number
Unrestricted Restricted
1 2 3 4 5 6 7 8 9 10 11 12 13 14
National grid
CHP
Solar PV
Wind turbine
Battery storage
Tab.1  Proposed models with respect to the design components and the renewable energy technologies
Fig.2  Architecture of HOMER Pro designs representing Models 1 to 8 with the components indicated in Table 1.
Components Model details
Unrestricted Restricted
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Boiler/kW 2205(a) 2058(a) 2058(a) 2058(a) 2205(a) 2205(a) 2058(a) 2058(a) 2058(a) 2058(a) 2058(a) 2058(a) 2058(a) 2058(a)
CHP/kW 150(b) 150(b) 150(b) 150(b) 150(b) 150(b) 150(b) 150(b) 150(b) 150(b) 150(b) 150(b) 150(b)
Solar PV/kW 2597(a) 2593(a) 2575(a) 2715(a) 300(b) 300(b) 300(b) 300(b)
Converter/kW 1801(a) 1832(a) 266(a) 1855(a) 1508(a) 144(a) 148(a) 4.48(a) 144(a) 148(a)
Wind turbine/kW 1496(a) 1328(a) 9(a) 15(a) 30(b) 30(b) 30(b) 30(b)
Batteries/kWh 37(a) 129(a) 5(a) 18(a) 18(a) 18(a)
Tab.2  Details of the resolved models indicating fixed and calculated values
Fig.3  Annual profile of daily average radiation with the Clearness Index.
Fig.4  Monthly average wind speed.
Model number Model architecture Size of renewable energy components/kW
PV Wind
1 No renewables (NO CHP)
2 No renewables (CHP)
3 PV (CHP) 2597
4 PV+ battery (CHP) 2593
5 Wind (CHP) 1496
6 Wind+ battery (CHP) 1328
7 PV+ wind (CHP) 2575 9
8 PV+ wind+ battery (CHP) 2715 15
Tab.3  Models with unrestricted renewable energy technologies; the size of renewable energy components in proposed models with respect to the models’ architecture
Model Model architecture Costs/$
NPC COE OC IC
1 No renewables (NO CHP) 2.93M 0.100 226812 0.00
2 No renewables (CHP) 3.62M 0.103 262391 0.225M
3 PV (CHP) 9.70M 0.172 188535 7.26M
4 PV+ battery (CHP) 9.73M 0.173 189563 7.28M
5 Wind (CHP) 15.3M 0.323 357981 10.7M
6 Wind+ battery (CHP) 13.8M 0.379 316609 9.67M
7 PV+ wind (CHP) 9.73M 0.173 189725 7.28M
8 PV+ wind+ battery (CHP) 10.0M 0.179 188721 7.57M
Tab.4  Models with unrestricted renewable energy technologies: Economic variables
Fig.5  Economic parameters for models with unrestricted renewable energy technologies comparing.
Model number Model architecture (CHP) Costs/$
NPC COE OC IC
9 PV 4.30M 0.123 253639 1.02M
10 PV+ battery 4.31M 0.124 253991 1.03M
11 Wind 3.85M 0.114 263914 0.435M
12 Wind+ battery 3.86M 0.115 264394 0.446M
13 PV+ wind 4.53M 0.132 255323 1.23M
14 PV+ wind+ battery 4.54M 0.132 255675 1.24M
Tab.5  Models with restricted renewable energy technologies: economic variables
Fig.6  Economic parameters for models with restricted renewable energy technologies comparing.
Model number Model architecture Energy sold to the grid/kWh Total power generated/kWh Percentage of total power/%
1 No renewables (NO CHP) 0.0 1017600 0.0
2 No renewables (CHP) 335468 1353068 24.8
3 PV (CHP) 2526229 3543829 71.3
4 PV+ battery (CHP) 2527966 3545566 71.3
5 Wind (CHP) 2222502 3240102 68.6
6 Wind+ battery (CHP) 1425354 2442954 58.3
7 PV+ wind (CHP) 2527647 3545247 71.3
8 PV+ wind+ battery (CHP) 2535635 3553235 71.4
Tab.6  Models with unrestricted renewables: grid sales with respect to model architecture
Fig.7  Grid sales comparison for models with unrestricted renewables comparing.
Model number Model architecture(CHP) Energy sold to the grid/kWh Total power generated/kWh Percentage of total power/%
9 PV 547560 1565160 35.0
10 PV+ battery 550021 1567621 35.1
11 Wind 364904 1382504 26.4
12 Wind+ battery 364904 1382504 26.4
13 PV+ wind 580222 1597822 36.3
14 PV+ wind+ battery 582689 1600289 36.4
Tab.7  Models with restricted renewables: grid sales with respect to model architecture
Fig.8  Comparison of grid sales for models with restricted renewables.
Model number Model architecture Renewable fraction/% CO2 emissions/(kg·a–1)
1 No renewables (NO CHP) 0.0 1452114
2 No renewables (CHP) 0.0 1358683
3 PV (CHP) 30.0 1329046
4 PV+ battery (CHP) 30.0 1329110
5 Wind (CHP) 30.1 1259105
6 Wind+ battery (CHP) 30.0 1198731
7 PV+ wind (CHP) 30.1 1327473
8 PV+ wind+ battery (CHP) 30.2 1326015
Tab.8  Models with unrestricted renewable energy technologies: renewable fraction and CO2 emissions
Fig.9  Renewable fraction and carbon dioxide emissions for models with unrestricted renewable energy technologies.
Model number Model architecture (CHP) Renewable fraction/% CO2 emissions/(kg·a–1)
9 PV 4.30 1344185
10 PV+ battery 4.30 1344154
11 Wind 0.80 1350055
12 Wind+ battery 0.80 1350055
13 PV+ wind 5.00 1337592
14 PV+ wind+ battery 5.10 1337616
Tab.9  Models with restricted renewable energy technologies: renewable fraction and CO2 emissions
Fig.10  (a) Renewable fraction and (b) CO2 emissions for models with restricted renewable energy technologies.
Performance Category Best performing model
Unrestricted renewables (excluding Models 1 & 2) Restricted renewables Best overall
First choice Second choice First choice Second choice
Economic Net present cost 3 4, 7, 8 11 (marginal) 12 (marginal) 3
Cost of energy 3 4, 7, 8 11 (marginal) 12 (marginal) 3
Operating cost 3 4, 7, 8 9 (marginal) 10 (marginal) 3
Initial capital 3 4, 7, 8 11 (marginal) 12 (marginal) 3
Grid sales 8 3, 4, 7 14 (marginal) 13 (marginal) 8
Environmental Renewable fraction 3–8 14 (marginal) 13 (marginal) 3–8
CO2 emission 6 14 (marginal) 13 (marginal) 3–14
Overall preferred 8 14 14
Tab.10  Models with the best overall performance
Fig.11  Comparison of grid sales.
Fig.12  Comparison of economic parameters.
Fig.13  Comparison of (a) renewable fraction and (b) CO2 emissions.
Model architecture Carbon savings/%
Unrestricted renewables Restricted renewables
CHP+ grid Model 2 6.4 N/A
CHP+ grid+ PV Model 3 8.5 Model 9 7.4
CHP+ grid+ PV+ battery Model 4 8.5 Model 10 7.4
CHP+ grid+ wind Model 5 13.3 Model 11 7.0
CHP+ grid+ wind+ battery Model 6 17.4 Model 12 7.0
CHP+ grid+ PV+ wind Model 7 8.6 Model 13 7.9
CHP+ grid+ PV+ wind+ battery Model 8 8.7 Model 14 7.9
Tab.11  Carbon saving with respect to conventional power system in the proposed models
1 Department for Business (UK). Energy & industrial strategy. Committee on fuel poverty annual report 2018. 2020–05–16, available at the website of UK government
2 Department for Business (UK). Energy & industrial strategy. Fuel poverty detailed tables 2018. 2019–03–29, available at the website of UK government
3 C Liddell, C Morris, S J P McKenzie, et al.. Measuring and monitoring fuel poverty in the UK: national and regional perspectives. Energy Policy, 2012, 49: 27–32
https://doi.org/10.1016/j.enpol.2012.02.029
4 Newcastle City Council (UK). Newcastle upon Tyne warm homes, healthy lives. An affordable warmth strategy seeking your support & action. 2019–03–25, available at the website of newcastle
5 Committee on Climate Change (UK). UK housing: fit for the future? 2019–04–02, available at the website of theccc
6 Department for Business (UK). Energy & Industrial Strategy (2018–e): sub-regional fuel poverty, 2016 data. 2019–03–29, available at the website of UK government
7 Department for Business (UK). Energy & Industrial Strategy (2018–c): fuel poverty detailed tables 2018. 2019–03–29, available at the website of UK government
8 Ministry of Housing (UK). Communities & Local Government (no date): find energy grants and ways to improve your energy efficiency. 2019–05–10, available at the website of UK government
9 J Webb. Improvising innovation in UK urban district heating: the convergence of social and environmental agendas in Aberdeen. Energy Policy, 2015, 78: 265–272
https://doi.org/10.1016/j.enpol.2014.12.003
10 Department of Energy & Climate Change. The UK Low Carbon Transition Plan: National strategy for climate and energy. 2019–03–29, available at the website of UK government
11 D Drysdale, B V Mathiesen, S Paardekooper. Transitioning to a 100% renewable energy system in Denmark by 2050: assessing the impact from expanding the building stock at the same time. Energy Efficiency, 2019, 12(1): 37–55
https://doi.org/10.1007/s12053-018-9649-1
12 Z Tian, A Seifi. Reliability analysis of hybrid energy system. International Journal of Reliability Quality and Safety Engineering, 2014, 21(3): 1450011
https://doi.org/10.1142/S0218539314500119
13 A K Raji, D N Luta. Modelling and optimization of a community microgrid components. Energy Procedia, 2019, 156: 406–411
https://doi.org/10.1016/j.egypro.2018.11.103
14 H Lund, S Werner, R Wiltshire, et al.. 4th Generation District Heating (4GDH): integrating smart thermal grids into future sustainable energy systems. Energy, 2014, 68: 1–11
https://doi.org/10.1016/j.energy.2014.02.089
15 A M Abdilahi, A H M Yatim, M W Mohd Mustafa, et al.. Feasibility study of renewable energy-based microgrid system in Somaliland’s urban centers. Renewable & Sustainable Energy Reviews, 2014, 40: 1048–1059
https://doi.org/10.1016/j.rser.2014.07.150
16 M T Islam, N Huda, R Saidur. Current energy mix and techno-economic analysis of concentrating solar power (CSP) technologies in Malaysia. Renewable Energy, 2019, 140: 789–806
https://doi.org/10.1016/j.renene.2019.03.107
17 Carbon Trust (UK). Introducing combined heat and power: a new generation of energy and carbon savings. 2019–03–07, available at the website of carbontrust
18 C Mokhtara, B Negrou, A Bouferrouk, et al.. 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, 2020, 221: 113192
https://doi.org/10.1016/j.enconman.2020.113192
19 E L V Eriksson, E Mac , A Gray. Optimization of renewable hybrid energy systems – a multi-objective approach. Renewable Energy, 2019, 133: 971–999
https://doi.org/10.1016/j.renene.2018.10.053
20 F Yang, X Xia. Techno-economic and environmental optimization of a household photovoltaic-battery hybrid power system within demand side management. Renewable Energy, 2017, 108: 132–143
https://doi.org/10.1016/j.renene.2017.02.054
21 T Adefarati, R C Bansal. Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources. Applied Energy, 2019, 236: 1089–1114
https://doi.org/10.1016/j.apenergy.2018.12.050
22 Department for Business (UK). Energy & Industrial Strategy (2018–a): combined heat and power. 2019–05–02, available at the website of UK government
23 Department for Business (UK). Energy & Industrial Strategy (2019–a): combined heat and power incentives. 2019–04–20, available at the website of UK government
24 A Ataei, J Choi, N Ziabakhsh, et al.. Integration of a photovoltaic system and a combined heat and power generator in an educational building using eQuest and HOMER Models. American Journal of Renewable and Sustainable Energy, 2015, 1(3): 106–114
25 D Connolly, H Lund, B V Mathiesen, et al.. Heat roadmap Europe: combining district heating with heat savings to decarbonize the EU energy system. Energy Policy, 2014, 65: 475–489
https://doi.org/10.1016/j.enpol.2013.10.035
26 B V Mathiesen, H Lund, D Connolly, et al.. Smart energy systems for coherent 100% renewable energy and transport solutions. Applied Energy, 2015, 145: 139–154
https://doi.org/10.1016/j.apenergy.2015.01.075
27 D Drysdale, B Vad Mathiesen, H Lund. From carbon calculators to energy system analysis in cities. Energies, 2019, 12(12): 2307
https://doi.org/10.3390/en12122307
28 HOMER Energy. Tour of HOMER Pro. 2019–04–15, available at the website of youtube
29 R Belu, R Chiou, K Ghaisas, et al.. Teaching renewable energy system design and analysis with HOMER. In: 121st ASEE Annual Conference & Exposition, Indianapolis, USA, 2014
30 Office of Gas and Electricity Markets (UK). Typical domestic consumption values. 2019–04–20, available at the website of UK government
31 NASA Prediction of Worldwide Energy Resources. Surface meteorology and solar energy (SSE-release 6.0) databases. 2019–05–10, available at the website of NASA
32 D M Alotaibi, M Akrami, M Dibaj, et al.. Smart energy solution for an optimised sustainable hospital in the green city of NEOM. Sustainable Energy Technologies and Assessments, 2019, 35: 32–40
https://doi.org/10.1016/j.seta.2019.05.017
33 M Gökçek, C Kale. Techno-economical evaluation of a hydrogen refuelling station powered by wind-PV hybrid power system: a case study for İzmir-Çeşme. International Journal of Hydrogen Energy, 2018, 43(23): 10615–10625
https://doi.org/10.1016/j.ijhydene.2018.01.082
[1] T. JAYABARATHI, Afshin YAZDANI, V. RAMESH, T. RAGHUNATHAN. Combined heat and power economic dispatch problem using the invasive weed optimization algorithm[J]. Front Energ, 2014, 8(1): 25-30.
[2] Afshin YAZDANI, T. JAYABARATHI, V. RAMESH, T. RAGHUNATHAN. Combined heat and power economic dispatch problem using firefly algorithm[J]. Front Energ, 2013, 7(2): 133-139.
[3] Weilong WANG, Yukun HU, Jinyue YAN, Jenny NYSTR?M, Erik DAHLQUIST. Combined heat and power plant integrated with mobilized thermal energy storage (M-TES) system[J]. Front Energ Power Eng Chin, 2010, 4(4): 469-474.
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