Design optimization model for the integration of renewable and nuclear energy in the United Arab Emirates' power system
Description
Highlights: • A design optimization model for the power sector has been developed. • We examine the influence of exogenous variables in the UAE power infrastructure. • Subsidizing fuel prices will stimulate fossil-based electricity generation. • Carbon tax and higher fuel prices are suitable options to decrease air emissions. • Accounting the social benefits of emissions avoidance incentivizes diversification. - Abstract: A Mixed Integer Linear Programming (MILP) formulation is presented for the optimal design of the United Arab Emirates' (UAE) power system. The model was formulated in the General Algebraic Modeling System (GAMS), which is a mathematical modeling language for programming and optimization. Previous studies have either focused on the estimation of the UAE's energy demands or the simulation of the operation of power technologies to plan future electricity supply. However, these studies have used international simulation tools such as "MARKAL" and "MESSAGE"; whereas the present work presents an optimization model. The proposed design optimization model can be used to estimate the most suitable combination of power plants under CO2 emission and alternative energy targets, carbon tax, and social benefits of air emissions avoidance. Although the proposed model was used to estimate the future power infrastructure in the UAE, the model includes several standard power technologies; thus, it can be extended to other countries. The proposed optimization model was verified using historical data of the UAE power sector operation in the year 2011. Likewise, the proposed model was used to study the 2020 UAE power sector operations under three scenarios: domestic vs. international natural gas prices (considering different carbon tax levels), social benefits of using low emission power technologies (e.g., renewable and nuclear), and CO2 emission constraints. The results show that the optimization model is a practical tool for designing the UAE power infrastructure, evaluating future production technologies and scenarios, and identifying key parameters affecting the UAE power sector
Availability note (English)
Available from http://dx.doi.org/10.1016/j.apenergy.2015.03.068Additional details
Identifiers
- DOI
- 10.1016/j.apenergy.2015.03.068;
- PII
- S0306-2619(15)00360-8;
Publishing Information
- Journal Title
- Applied Energy
- Journal Volume
- 148
- Journal Page Range
- p. 234-251
- ISSN
- 0306-2619
- CODEN
- APENDX
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47019153
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- AIR POLLUTION ABATEMENT; CARBON; CARBON DIOXIDE; COMPUTERIZED SIMULATION; DIVERSIFICATION; EMISSIONS TAX; ENERGY DEMAND; FOSSIL-FUEL POWER PLANTS; LINEAR PROGRAMMING; MATHEMATICAL MODELS; NATURAL GAS; NUCLEAR ENERGY; OPTIMIZATION; POWER GENERATION; POWER SYSTEMS; PRICES; RENEWABLE ENERGY SOURCES; UNITED ARAB EMIRATES
- Descriptors DEC
- ARAB COUNTRIES; ASIA; CALCULATION METHODS; CARBON COMPOUNDS; CARBON OXIDES; CHALCOGENIDES; DEMAND; ELEMENTS; ENERGY; ENERGY SOURCES; ENERGY SYSTEMS; FLUIDS; FOSSIL FUELS; FUEL GAS; FUELS; GAS FUELS; GASES; NONMETALS; OXIDES; OXYGEN COMPOUNDS; POLLUTION ABATEMENT; POWER PLANTS; SIMULATION; TAXES; THERMAL POWER PLANTS
Optional Information
- Copyright
- Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.