A medium-term energy and GHG emissions cost analysis for electricity and water sector in Abu Dhabi

Long-term CO 2 emissions reduction target and scenarios of power sector in Taiwan

In arid climates, almost half of the urban peak load of energy demand is used to supply cooling and air-conditioning in the summertime. The pressure placed on energy resources to satisfy inhabitants’ indoor comfort requirements is mounting due to accelerated urbanisation rates in developing countries and has led countries such as those in the GCC (Gulf Cooperation Council) to establish sustainable building codes to enhance their environmental performance. Using the extensive parametric energy simulations provided by DesignBuilder, this study addresses the potential of applying different GCC energy efficiency measures to reduce annual energy consumption and carbon emissions in a typical residential dwelling in the Kingdom of Bahrain. To do so, first, a base case validation simulation model was generated, followed by four design scenarios addressing the minimum requirements for Bahrain’s Energy Conservation Code, Abu Dhabi’s ESTIDAMA 1, Saudi Arabia’s code, and Kuwait’s building code. Then, a feasibility study was conducted using the simple payback period (SPP) and lifecycle cost (LCC) analysis. Overall energy and carbon emission (CO2) reduction showed the potential for building sustainable codes to improve building environmental performance throughout the year. In terms of energy performance and CO2 reduction, Abu Dhabi’s ESTIDAMA 1 code recorded the best energy savings at a 24.4% and a 26.3% reduction in carbon emissions, followed by the Saudi code with a 14.6% annual energy savings and 12.3% less carbon emissions. Regarding the economic analysis, although the SPP indicates the Bahraini code offered payback in just under two years for subsidised energy and half a year for unsubsidised, the LCC analysis suggests that applying Abu Dhabi’s ESTIDAMA 1 code was the most feasible, followed by the Saudi building code. Consequently, the study suggests a comprehensive evaluation of the relationship between the sustainable building codes and their economic feasibility in order to enhance and promote the wide application in the GCC based on the code’s capabilities and their benefits for residential households and the overall economy.

The reduction of GHG emissions is one of the most important policy objectives worldwide. Nonetheless, concrete and effective measures to reduce them are hardly implemented. One of the main reasons for this deadlock is the fear that unilateral actions will reduce a country’s competitiveness, and will benefit those countries where no GHG mitigation measures are implemented. This kind of argument is also often used to explain why some governments and many business leaders are not in favour of the EU 30% GHG mitigation target that has been proposed to replace the previous 20% GHG emission reduction objective approved by the EU within the well-known 20-20-20 climate and energy package. By developing and applying a recursive, dynamic, very detailed CGE model with energy generation from both fossil fuel and renewable sources, we address this issue by estimating the cost for different EU countries and industries of the EU climate and energy package under a set of alternative international scenarios on global GHG mitigation efforts. Results show that, thanks to the EU economic recession, achieving a 20% GHG emission reduction entails a moderate cost for the European Union – about 0.5% of EU GDP – even in the case of EU unilateral action. This cost could be reduced to almost zero if not only the European Union, but also the other major world economies, comply with the “low pledge” Copenhagen Accord. A 30% GHG emission reduction target would certainly be more costly: the total loss in the European Union would be 1.26% of EU GDP in the case of EU unilateral action, whereas the total cost would be 0.55% of EU GDP if all major economies reduce their own GHG emissions according to the “low pledge” Copenhagen Accord. Both border tax adjustments and free allocation of carbon permits are shown to be successful in reducing some adverse competitiveness effects of the EU GHG mitigation policy into energy intensive sectors, but at the expenses of the other economic sectors.

The reduction of GHG emissions is one of the most important policy objectives worldwide. Nonetheless, concrete and effective measures to reduce them are hardly implemented. One of the main reasons for this deadlock is the fear that unilateral actions will reduce a country’s competitiveness, and will benefit those countries where no GHG mitigation measures are implemented. This kind of argument is also often used to explain why some governments and many business leaders are not in favour of the EU 30% GHG mitigation target that has been proposed to replace the previous 20% GHG emission reduction objective approved by the EU within the well-known 20-20-20 climate and energy package. By developing and applying a recursive, dynamic, very detailed CGE model with energy generation from both fossil fuel and renewable sources, we address this issue by estimating the cost for different EU countries and industries of the EU climate and energy package under a set of alternative international scenarios on global GHG mitigation efforts. Results show that, thanks to the EU economic recession, achieving a 20% GHG emission reduction entails a moderate cost for the European Union - about 0.5% of EU GDP – even in the case of EU unilateral action. This cost could be reduced to almost zero if not only the European Union, but also the other major world economies, comply with the “low pledge” Copenhagen Accord. A 30% GHG emission reduction target would certainly be more costly: the total loss in the European Union would be 1.26% of EU GDP in the case of EU unilateral action, whereas the total cost would be 0.55% of EU GDP if all major economies reduce their own GHG emissions according to the “low pledge” Copenhagen Accord. Both border tax adjustments and free allocation of carbon permits are shown to be successful in reducing some adverse competitiveness effects of the EU GHG mitigation policy into energy intensive sectors, but at the expenses of the other economic sectors.

Implications of clean energy, oil and emissions pricing for the GCC energy sector stock

A capacity expansion planning model for integrated water desalination and power supply chain problem

Utility subsidy reform in Abu Dhabi: A review and a Computable General Equilibrium analysis

Modelling the carbon cycle of Siena Province (Tuscany, central Italy)

The costs and benefits of large-scale solar photovoltaic power production in Abu Dhabi, United Arab Emirates

The steel industry is an important basic industry for the development of the national economy and national defense construction, but it is also a major source of energy consumption and environmental pollution. In particular, the carbon emissions in the process of coal combustion and steelmaking are huge. This situation urgently needs to be improved and optimized. Therefore, based on the perspective of the coal supply chain in the steel industry, this paper constructs a multi-objective planning model to achieve a balanced optimization of total economic costs and carbon emission reduction, and verifies the effectiveness of the model through specific case data. This paper sets three different emission reduction scenarios, discusses and analyzes the changes of economic total cost and carbon emission under different emission reduction scenarios, and finds that suppliers with good coal mining technology and low carbon emission factor have more opportunities to be selected and can obtain more coal market orders. At the same time, steel plants with mature processing technology and low carbon emission factor can further gain market competitive advantage and undertake more steelmaking tasks. Finally, based on results, management suggestions for coal suppliers and steel plants are provided.

Coordinating and controlling carbon and atmospheric pollutant emissions in industrial cities poses challenges, making it difficult to formulate effective environmental governance strategies in China. This study used the Community Multiscale Air Quality (CMAQ) and Long-range Energy Alternatives Planning (LEAP) models, with a typical industrial city in the Sichuan Basin as the case study. Five emission reduction scenarios, one integration scenario, and one baseline scenario were set to quantitatively analyze the synergistic effect between carbon emissions and atmospheric pollutant emissions. The results indicate a high synergy between sulfur dioxide and greenhouse gases. For every one-point decrease in the Air Quality Composite Index (AQCI), the Industrial Restructuring Scenario (IR), Other Source Management Scenario (OSM), Transportation Energy Efficiency Improvement Scenario (TEEI), Industrial Energy Efficiency Improvement Scenario (IEEI), and Transportation Restructuring (TR) scenarios would require a reduction in carbon emissions by 56,492.79 kilotons, 39,850.45 kilotons, 34,027.5 kilotons, 22,356.58 kilotons, and 3243.33 kilotons, respectively. The results indicate that governance measures, such as improving transportation structure and upgrading industrial technologies, provide stronger support for simultaneous carbon emissions reductions and air quality improvement.

The transportation sector is considered one of the driving forces behind the increased release of greenhouse gases (GHGs), with road transport being this sector’s main emissions contributor. In turn, efforts should be devoted to reducing emitted GHGs from this sector, and many such opportunities lie in the road transport life cycle. This paper investigated fourteen emission reduction scenarios based on the green initiatives issued by the Abu Dhabi Government. The explored measures are either related to road works and road municipal services or to traffic movement. The proposed measures were evaluated with reference to a baseline study previously reported by the authors for three different road projects in Abu Dhabi city. Findings reveal that normalized GHG emission reduction could be significantly reduced by (i) replacing 30% of internal combustion engine passenger cars with battery electric vehicles where the power demand is covered almost equally from nuclear and liquified natural gas (LNG) sources, (ii) reducing the number of passenger cars by 10%, and (iii) having one-fifth of passenger cars powered by LNG. A lesser significant reduction could be achieved by replacing conventional lamps with light-emitting diode (LED) lamps or by having one-fourth of lighting powered by solar energy. Even lesser reduction could be achieved by (i) replacing a portion of Portland cement with ground granulated blast furnace slag in concrete structures, (ii) fully utilizing treated sewage effluent for roadside-plant irrigation, (iii) reducing desalinated water used for roadside-plant irrigation by 20%, and (iv) increasing the number of higher efficiency passenger cars by 10%. Replacing hot-mix asphalt with warm-mix asphalt and using asphalt with a high stiffness modulus in the base layer results in low emission reduction. The use of 15% recycled asphalt or the use of 50% recycled aggregate in road construction has the least impact on emission reduction. When all explored scenarios were combined, an overall normalized GHG emissions reduction of 9–17% during the road project life cycle could be achieved.

Modeling GHG emissions and carbon sequestration in Swiss agriculture: An integrated economic approach

As the government pays more attention to energy conservation and emission reduction in the energy industry, the contradiction between economic cost and carbon emission reduction in the electric-coal supply chain becomes more and more serious, which needs to be solved urgently. Therefore, based on the theory of green supply chain, this research constructs a dynamic multi-objective model under the uncertain decision-making environment with the realization of the equilibrium of the total economic cost and carbon emission of electric-coal supply chain as the decision goal, and taking the coal supply capacity and and other practical requirements as the constraints. The following equilibrium model is applied to a electric-coal supply chain in the southwestern region of Y Province. With full consideration of different carbon emission reduction scenarios, the total economic cost and carbon emission balance plan of electric-coal supply chain under five different emission reduction scenarios were obtained, which verified the practicability and effectiveness of the equilibrium model. The results show that the equilibrium model can effectively alleviate the conflict between the economic cost and carbon emission reduction. Finally, based on data analysis, we put forward management suggestions from macro, meso and micro levels to better realize the greenization of electric-coal supply chain.

Using system dynamics to analyse key factors influencing China's energy-related CO2 emissions and emission reduction scenarios