Impacts of biomass power generation and CO2 taxation on electricity generation expansion planning and environmental emissions

Santisirisomboon, Jerasorn; Limmeechokchai, Bundit; Chungpaibulpatana, Supachart

doi:10.1016/s0301-4215(01)00028-3

Cited by 43 publications

(16 citation statements)

References 2 publications

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“…It was developed by the Tennessee Valley Authority (TVA) and Oak Ridge National Laboratory (ORNL) for the International Atomic Energy Agency (IAEA) and has found application in some studies. [171][172][173][174][175][176][177] With WASP, a DM can determine the optimal expansion plan for a power generation network over a long planning period based on the constraints specified by the planner. 178 In WASP the optimum expansion plan is specified based on the minimum discounted total costs.…”

Section: Commercially Available Gep Software Packagesmentioning

confidence: 99%

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

2019

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Summary Generation expansion planning (GEP) is a power plant mix problem that identifies what, where, when, and how new generating facilities should be installed and when old units be retired over a specific planning horizon. GEP ensures that the quantity of electricity generated matches the electricity demand throughout the planning horizon. This kind of planning is of importance because most production and service delivery is dependent on availability of electricity. Over the years, the traditional GEP approaches have evolved to produce more realistic models and new solution algorithms. For example, with the agitation for green environment, the inclusion of renewable energy plants and energy storage in the traditional GEP model is gradually gaining attention. In this regards, a handful of research has been conducted to identify the optimal expansion plans based on various energy‐related perspectives. The appraisal and classification of studies under these topics are necessary to provide insights for further works in GEP studies. This article therefore presents a comprehensive up‐to‐date review of GEP studies. Result from the survey shows that the integration of demand side management, energy storage systems (ESSs), and short‐term operational characteristics of power plants in GEP models can significantly improve flexibility of power system networks and cause a change in energy production and the optimal capacity mix. Furthermore, this article was able to identify that to effectively integrate ESS into the generation expansion plan, a high temporal resolution dimension is essential. It also provides a policy discussion with regard to the implementation of GEP. This survey provides a broad background to explore new research areas in order to improve the presently available GEP models.

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Section: Commercially Available Gep Software Packagesmentioning

confidence: 99%

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

2019

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“…Other negative environmental impacts recognized in Thailand include disposal of leadacid batteries from the widely used solar photovoltaic systems (Kaufman 2000) and air pollutant emissions from biomass such as CO and TSP (Total Suspended Particulates) which are high due to lower efficiency and incomplete combustion of biomass-fired electricity generation plants 11 (Santisirisomboon et al 2001;Santisirisomboon et al 2003).…”

Section: Environmental and Social Impacts Associated With Renewablesmentioning

confidence: 99%

Towards a sustainable energy future—exploring current barriers and potential solutions in Thailand

Uddin

Taplin

2008

Environ Dev Sustain

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Renewable energy is considered an indispensable basis of sustainable energy systems as electricity generation from renewable sources results in low emissions of greenhouse gases compared to fossil fuel based electricity and contributes to sustainable development. However, effective strategies and conducive institutional settings are needed for advancement of such clean electricity systems. Although Thailand, as a nation, has a huge potential for renewable energy utilization, its total amount of electricity generation from renewables is relatively small and could be enlarged substantially. Lack of policy mechanisms, institutional development and financing exist as major barriers for Thailand in this regard. Investigation of the nation's current energy strategy implementation shows that relevant energy and development policies are at different stages of implementation and institutional settings are continuously evolving. This paper argues that further significant efforts could be made towards advancement of renewable electricity and thus achievement of energy sustainability in Thailand. Resource planning, effective policy and institutions, focussed planning for energy sustainability and implementation of the Clean Development Mechanism (CDM) under the Kyoto Protocol could facilitate further advancement of renewables for the nation.

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“…Accordingly, as a result of the oil crisis in the mid-1970s, several types of energy planning models have been developed to help policy making [7]. Welldeveloped decision-support tools such as Wien Automatic System Planning Package (WASP) [8], Model for Energy Supply Systems and their General Environmental Impact (MESSAGE) [9], Long Range Energy Alternatives Planning System (LEAP) [10], Energy Flow Optimization Model (EFOM) [11], MARKet ALlocation (MARKAL) [12], the Integrated MARKAL-EFOM System (TIMES) [13], Balmorel [14], and EnergyPLAN [15], have been used for planning in large-scale energy systems. Based on detailed input data, these tools help to reflect the entire energy or power supply system.…”

Section: Introductionmentioning

confidence: 99%

An overview of energy planning in Iran and transition pathways towards sustainable electricity supply sector

Aryanpur

Atabaki

Marzband

et al. 2019

Renewable and Sustainable Energy Reviews

100

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Despite a substantial potential of renewable energy sources, the current energy supply system in Iran relies almost entirely on fossil fuel resources. It has imposed significant financial burden on the country and has led to considerable GHG emissions. Moreover, the country is confronting several challenges for harnessing alternative clean energy sources and promoting rational energy policies over the recent decades. To probe the root cause of these problems, this paper first provides an overview on the previous energy planning attempts in Iran. It shows that adequate commitment to a long-term energy planning could have meaningfully prevented these serious challenges. However, the previous studies have had some limitations in terms of employing appropriate planning tools, comprehensive evaluations, and scenarios definition and ranking. This paper thus proposes a power planning framework to assess the sustainability of future electricity scenarios for the period 2015-2050. MESSAGE, a systems engineering optimization model, is employed to evaluate the potential impacts of transitioning to a low-carbon electricity supply system. Using a combined AHP-TOPSIS method, the scenarios are then ranked based on 18 different techno-economic, environmental, and social dimensions of sustainability. The results indicate that scenario Cl_32, in which the share of non-hydro clean energy for electricity generation reaches 32%, is ranked best.

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Impacts of biomass power generation and CO2 taxation on electricity generation expansion planning and environmental emissions

Cited by 43 publications

References 2 publications

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

Towards a sustainable energy future—exploring current barriers and potential solutions in Thailand

An overview of energy planning in Iran and transition pathways towards sustainable electricity supply sector

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