Possible Pathways toward Carbon Neutrality in Thailand’s Electricity Sector by 2050 through the Introduction of H2 Blending in Natural Gas and Solar PV with BESS
Abstract:To avoid the potential adverse impacts of climate change from global warming, it is suggested that the target of net zero emissions should be reached by this mid-century. Thailand is aiming to achieve carbon neutrality by 2050. Since electricity generation is one of the largest producers of carbon dioxide emission, the associated emissions must be greatly reduced to achieve the targets mentioned above. Thus, new generation expansion plans must be well developed. This paper discusses the development of generati… Show more
“…These constraints ensure that the capacity of generation units in each level is sufficient to meet their corresponding rapid changes in demand due to VRES, with a particular focus on balancing fast-response generation units and their corresponding demand. The methodology for GEP used in this paper is a linear programming model, as proposed in [15] and [47], which approximates the dynamic programming of GEP to a sequence of UC problems. The UC problem is then solved using the priority list method.…”
Section: Contribution Of This Papermentioning
confidence: 99%
“…The proposed load classification and GEP methods are tested with the latest power development plan of Thailand [48]. With the fast computational time obtained from the GEP technique proposed in [15] and [47], the proposed approach can account for input data uncertainty by solving multiple GEP problems with varying input data and distinct individual probabilities.…”
Section: Contribution Of This Papermentioning
confidence: 99%
“…The models of these generation units are introduced in this subsection. These models were initially introduced in [15] as an economic dispatch model and were further improved in [47] by incorporating a reliability evaluation model. In this paper, these models are slightly modified and are revisited for more clarity.…”
This paper proposes a method for generation expansion planning that incorporates full-year hourly multiple load levels balance constraints, providing sufficient flexibility to address load fluctuations and intermittency associated with variable renewable energy sources. Typically, ensuring that the generation system possesses enough flexibility to manage this intermittency involves considering the operational characteristics of generators within unit commitment constraints. However, to mitigate the substantial computational burden caused by the number and type of variables, various approximation techniques are often employed. Unfortunately, these techniques can introduce unrealistic elements into the problem. Instead of considering the operational characteristics of generators, this approach classifies the system's demand into three levels: base load, intermediate load, and peak load, using the proposed load classification method. The multiple load-level balance constraints are then applied to ensure that the capacity of generation units in each level is sufficient to meet their corresponding demand, with particular emphasis on matching fast-response generation units and their corresponding demand. The resulting generation expansion plan can be obtained with significantly reduced computational effort. The proposed load classification method and generation expansion planning approach have been tested using the latest power development plan of Thailand. Compared to another method that is not taken flexibility into account, 5 Gigawatts of fast-response generation capacity are selected instead of base load generation units. With the improved computational time achieved by the proposed generation expansion planning method, it can account for input data uncertainty by solving multiple generation expansion planning problems with varying input data and distinct individual probabilities.
INDEX TERMS power generation planning, power generation reliability, generation expansion planning, renewable energy
NOMENCLATURE
A. ACRONYMS
“…These constraints ensure that the capacity of generation units in each level is sufficient to meet their corresponding rapid changes in demand due to VRES, with a particular focus on balancing fast-response generation units and their corresponding demand. The methodology for GEP used in this paper is a linear programming model, as proposed in [15] and [47], which approximates the dynamic programming of GEP to a sequence of UC problems. The UC problem is then solved using the priority list method.…”
Section: Contribution Of This Papermentioning
confidence: 99%
“…The proposed load classification and GEP methods are tested with the latest power development plan of Thailand [48]. With the fast computational time obtained from the GEP technique proposed in [15] and [47], the proposed approach can account for input data uncertainty by solving multiple GEP problems with varying input data and distinct individual probabilities.…”
Section: Contribution Of This Papermentioning
confidence: 99%
“…The models of these generation units are introduced in this subsection. These models were initially introduced in [15] as an economic dispatch model and were further improved in [47] by incorporating a reliability evaluation model. In this paper, these models are slightly modified and are revisited for more clarity.…”
This paper proposes a method for generation expansion planning that incorporates full-year hourly multiple load levels balance constraints, providing sufficient flexibility to address load fluctuations and intermittency associated with variable renewable energy sources. Typically, ensuring that the generation system possesses enough flexibility to manage this intermittency involves considering the operational characteristics of generators within unit commitment constraints. However, to mitigate the substantial computational burden caused by the number and type of variables, various approximation techniques are often employed. Unfortunately, these techniques can introduce unrealistic elements into the problem. Instead of considering the operational characteristics of generators, this approach classifies the system's demand into three levels: base load, intermediate load, and peak load, using the proposed load classification method. The multiple load-level balance constraints are then applied to ensure that the capacity of generation units in each level is sufficient to meet their corresponding demand, with particular emphasis on matching fast-response generation units and their corresponding demand. The resulting generation expansion plan can be obtained with significantly reduced computational effort. The proposed load classification method and generation expansion planning approach have been tested using the latest power development plan of Thailand. Compared to another method that is not taken flexibility into account, 5 Gigawatts of fast-response generation capacity are selected instead of base load generation units. With the improved computational time achieved by the proposed generation expansion planning method, it can account for input data uncertainty by solving multiple generation expansion planning problems with varying input data and distinct individual probabilities.
INDEX TERMS power generation planning, power generation reliability, generation expansion planning, renewable energy
NOMENCLATURE
A. ACRONYMS
“…Renewable energy is indeed a sector that is developing in Thailand. With its current level of carbon emissions, the Thai government is following neighbourhood countries by promoting renewable energy to cut the dependency on fossil fuel imports, especially natural gas, and reduce the environmental impact from traditional energy sources (see, e.g., Reference 50). The depletion of natural gas reserves and the increasing fuel import bills are becoming major challenges for this country.…”
The energy consumption, the transfer of resources through the international trade, the transition towards renewable energies and the environmental sustainability appear as key drivers in order to evaluate the resilience of the energy systems. Concerning the consumptions, in the literature a great attention has been paid to direct energy, but the production of goods and services also involves indirect energy. Hence, in this work we consider different types of embodied energy sources and the time evolution of the sectors' and countries' interactions. Flows are indeed used to construct a directed and weighted temporal multilayer network based respectively on renewable and non‐renewable sources, where sectors are nodes and layers are countries. We provide a methodological approach for analysing the network reliability and resilience and for identifying critical sectors and economies in the system by applying the Multi‐Dimensional HITS algorithm. Then, we evaluate central arcs in the network at each time period by proposing a novel topological indicator based on the maximum flow problem. In this way, we provide a full view of economies, sectors and connections that play a relevant role over time in the network and whose removal could heavily affect the stability of the system. We provide a numerical analysis based on the embodied energy flows among countries and sectors in the period from 1990 to 2016. Results prove that the methods are effective in catching the different patterns between renewable and non‐renewable energy sources.
“…Thailand pledged at COP26 to achieve carbon neutrality by 2050 and net zero carbon dioxide by 2065 (Diewvilai and Audomvongseree, 2022). It means that, after the year 2030, the amount of greenhouse gas (GHG) emissions per unit of Gross Domestic Product (GDP) must fall by 6% each year, which is a challenge and a race against time.…”
This research explores the implementation of streamlined licensing frameworks and consolidated procedures for promoting renewable energy generation worldwide. An in-depth analysis of the challenges faced by renewable energy developers and the corresponding solutions was identified through a series of industry interviews. The study aims to shed light on the key barriers encountered during project development and implementation, as well as the strategies employed to overcome these obstacles. By conducting interviews with professionals from the renewable energy sector, the research uncovers a range of common challenges, including complex permitting processes, regulatory uncertainties, grid integration issues, and financial barriers. These challenges often lead to project delays, increased costs, and limited investment opportunities, thereby hindering the growth of renewable energy generation. However, the interviews also reveal various solutions and best practices employed by industry stakeholders to address these challenges effectively. These solutions encompass the implementation of streamlined licensing procedures, such as single licenses and one-stop services, to simplify and expedite the permitting process. Additionally, the development of clear and stable regulatory frameworks, collaboration between public and private entities, and improved grid infrastructure were identified as key strategies to overcome regulatory and grid integration challenges. The research findings highlight the importance of collaborative efforts between policymakers, industry players, and other relevant stakeholders to create an enabling environment for renewable energy development. By incorporating the identified solutions and best practices, policymakers can streamline regulatory processes, foster public-private partnerships, and enhance grid infrastructure, thus catalyzing the growth of renewable energy projects.
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