TY - JOUR
T1 - Integration and optimisation of high-penetration Hybrid Renewable Energy Systems for fulfilling electrical and thermal demand for off-grid communities
AU - Kahwash, F.
AU - Maheri, A.
AU - Mahkamov, K.
N1 - Research funded by Northumbria University.
PY - 2021/5/15
Y1 - 2021/5/15
N2 - The recent steep decline in the cost of PV panels and wind turbines provides an opportunity to utilise Hybrid Renewable Energy Systems (HRES) to fulfil thermal loads as well as the electrical demand. Two coupled system architectures are proposed and studied along with the base case of uncoupled architecture for comparison. The coupled systems include wind turbines, PV panels, battery bank, diesel generators (DG) or diesel-based Combined Heat and Power unit (CHP), boiler and thermal storage tank. Adopting a full factorial design of the experiment approach for each architecture, the optimum system is determined for a variety of combinations of the major influencing factors, namely, renewable resource intensity, thermal-to-electrical demand ratio and price of diesel fuel. Statistical analysis is conducted to investigate the effects of each factor on the cost of the system. The optimisation and statistical analysis show that, based on current prevailing components prices, an integrated system, which utilises excess electricity for fulfilling thermal loads, is cheaper than the base case with or without CHP unit.
AB - The recent steep decline in the cost of PV panels and wind turbines provides an opportunity to utilise Hybrid Renewable Energy Systems (HRES) to fulfil thermal loads as well as the electrical demand. Two coupled system architectures are proposed and studied along with the base case of uncoupled architecture for comparison. The coupled systems include wind turbines, PV panels, battery bank, diesel generators (DG) or diesel-based Combined Heat and Power unit (CHP), boiler and thermal storage tank. Adopting a full factorial design of the experiment approach for each architecture, the optimum system is determined for a variety of combinations of the major influencing factors, namely, renewable resource intensity, thermal-to-electrical demand ratio and price of diesel fuel. Statistical analysis is conducted to investigate the effects of each factor on the cost of the system. The optimisation and statistical analysis show that, based on current prevailing components prices, an integrated system, which utilises excess electricity for fulfilling thermal loads, is cheaper than the base case with or without CHP unit.
KW - Combined Heat and Power
KW - Excess electricity
KW - GA optimisation
KW - Hybrid Renewable Energy Systems
KW - Low carbon heating
KW - System architecture
KW - Thermal storage
KW - Thermo-electrical demand
UR - http://www.scopus.com/inward/record.url?scp=85103092267&partnerID=8YFLogxK
U2 - 10.1016/j.enconman.2021.114035
DO - 10.1016/j.enconman.2021.114035
M3 - Article
AN - SCOPUS:85103092267
SN - 0196-8904
VL - 236
JO - Energy Conversion and Management
JF - Energy Conversion and Management
M1 - 114035
ER -