| Title |
Optimising renewable energy at the eco-industrial park: A mathematical modelling approach |
| ID_Doc |
22808 |
| Authors |
Misrol, MA; Alwi, SRW; Lim, JS; Abd Manan, Z |
| Title |
Optimising renewable energy at the eco-industrial park: A mathematical modelling approach |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.energy.2022.125345 |
| Abstract |
Climate change mitigation has been a global effort and energy generation is one of the primary sources of GHG emissions. There is a need to transition from fossil-based energy to renewable-based energy. One of the platforms to nourish the work is Eco-Industrial Park (EIP) which it promotes resource efficiency, industrial symbiosis, and circular economy practice. There is a need to explore an optimal configuration of multiple renewable energy (RE) systems in a centralised EIP facility that generates electricity for internal consumption and exports the excess energy to the grid. This model developed a mixed-integer non-linear programming (MINLP) model that considers RE from biogas, biomass, micro-hydro, and solar sources for a centralised water hub. The energy generated is primarily used for the main processes involved in the facility as the excess energy will be supplied to the grid. A case study and two scenarios were assessed, and the results offered simultaneous technical, economic, and environmental benefits, which are in the forms of multiple RE generations, additional yearly profit, and GHG emission avoidance from fossil source. This will further strengthen the envisioned role of EIP as it is also capable of supporting the United Nations Sustainable Development Goal (UNSDG) and RE100 agenda. |
| Author Keywords |
Renewable energy; Eco-industrial park; Circular economy; Solar; Biogas; Biomass; Micro hydro; Optimisation; Mathematical modelling; MINLP; Wastewater treatment; Water reclamation; Total site |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000863278800009 |
| WoS Category |
Thermodynamics; Energy & Fuels |
| Research Area |
Thermodynamics; Energy & Fuels |
| PDF |
|