Optimal Hybrid Power System Using Renewables for a Household in the UK

doi:10.5814/j.issn.1674-764X.2019.03.007

Journal of Resources and Ecology ›› 2019, Vol. 10 ›› Issue (3): 289-295.DOI: 10.5814/j.issn.1674-764X.2019.03.007

• Resource Econmy • Previous Articles Next Articles

Optimal Hybrid Power System Using Renewables for a Household in the UK

MIAO Chunqiong^1,²(), TENG Kailiang^2,^3,^*(), GAO Ya², JI Jie², WANG Yaodong²

1. Electrical Engineering Department, Guangxi Electrical Polytechnic Institute, Nanning 530007, China
2. Sir Joseph Swan Centre for Renewable Energy Research, School of Mechanical and System Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
3. College of Electrical Engineering, Guangxi University, Nanning 530004, China

Received:2018-05-25 Accepted:2018-08-30 Online:2019-05-30 Published:2019-05-30
Contact: TENG Kailiang
About author:
First author: MIAO Chunqiong, E-mail:191605119@qq.com
Supported by:
The Project of Guangxi University Outstanding Post-graduate Student Abroad;The Project of Guangxi University for Youth (2018KY1120, 2018KY1121)

Abstract

Abstract:

The aim of this study is to find an optimal design for a distributed hybrid renewable energy system (HRES) for a residential house in the UK. The hybrid system, which consists of wind turbines, PV arrays, a biodiesel generator, batteries and converters, is designed to meet the known dynamic electrical load of the house and make use of renewable energy resources available locally. Hybrid Optimization Model for Electric Renewables (HOMER) software is used for this study. Different combinations of wind turbines, PV arrays, a biodiesel generator and batteries are evaluated and compared using the NPC (Net Present Cost) method to find the optimal solutions. The HRES is modeled, simulated and optimized using HOMER. The results showed that the wind-biodiesel engine-battery system was the best with the lowest NPC (USD 60254) and the lowest COE (Cost of Energy, USD 0.548/kWh) while the second best system added PV arrays. This study gives evidence of the key contribution wind turbines make to HRES due to abundant wind resources in the UK, especially in Wales.

Key words: distributed energy, optimal hybrid renewable energy system, NPC

MIAO Chunqiong,TENG Kailiang,GAO Ya,JI Jie,WANG Yaodong. Optimal Hybrid Power System Using Renewables for a Household in the UK[J]. Journal of Resources and Ecology, 2019, 10(3): 289-295.

Figures/Tables 10

Fig. 1 Daily profile for peak season (a) and low season (b)

Fig. 2 Monthly average daily load profile for one yearNote: This shows the modeled distribution of the mean daily site load in each month of the year

Fig. 3 Monthly air temperature variation in WalesNote: This chart depicts tendencies within a year. Normal temperature in the summer is around 14 °C while the temperature in the winter is around 4.8 °C indicating that PV arrays installed on site would remain safe within normal operating parameters. The average annual ambient, minimum and maximum temperatures were recorded as 4.54 °C, 15.8 °C and 9.56 °C, respectively.

Fig. 4 Monthly wind speed variations in Wales

Fig. 5 Average daily sunshine by month in WalesNote: This describes the average hours of sunshine per day on a monthly basis. During the winter there is less than 2 hours a day of sunshine per day on average, while during the summer average hours of sunshine per day reaches its highest level of up to 6 hours per day.

Fig. 6 One type of common hybrid energy generation system

Fig. 7 Structure chart of functional model

Table 1 Optional configurations of the system with API-2KW

API	Initial Capital Cost($)	Total NPC($)	COE ($/(kW h))	Sunflower (kg)	Operating Cost($/kW)
3	14783	23602	0.364		690
2	28105	38260	0.582		794
6	31965	60254	0.548	421	2,213
5	45278	71749	0.652	319	2,070

Table 2 Cost data for targeted alternatives

No.	Initial Capital Cost($)	Total NPC($)	COE($/(kW h))
1	34386	79378	0.727
2	47309	89230	0.817
3	29949	74280	0.879
4	42899	82244	0.748
5	31965	60254	0.548
6	45287	71749	0.652
7	34672	74053	0.676
8	44157	84022	0.769
9	38673	68012	0.619
10	43185	78173	0.715

Fig. 8 Computed electricity generation profiles without PV (a) and with PV (b)

References 15

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Optimal Hybrid Power System Using Renewables for a Household in the UK

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