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| 1 |
ID:
096090
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| Publication |
2010.
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| Summary/Abstract |
This paper approximates the emissions rebound effects1 associated with substituting expensive and GHG emitting natural gas (LNG) power plants, with apparently cheaper and lower emitting nuclear plant. It then evaluates the effect this has on economy wide electricity use as well as net GHG emissions changes.
The analysis is undertaken by combining aspects of an input-output model with an optimizing energy systems model.
The scope of the case study is limited to the effects of the electricity sector (and its emissions) on the Korean economy from 2005 to 2030. Its primary basis (in terms of data and assumptions) is the recent national Basic Plan for Long-Term Electricity Supply and Demand (KPX, 2006).2 The cases considered a limited increase of the share of Advanced Pressurised Reactor (APR) nuclear plant at the expense of combined cycle gas turbine (CCGT) plant running on imported liquefied natural gas (LNG).
Three scenarios are studied, based on KPX (2006). These include (1) a Reference scenario,3 (2) a Mitigation scenario (where an extra 5000 MW of nuclear is allowed to enter the system at the expense of LNG plant, but no emissions rebound is calculated) and (3) a Mitigation+rebound scenario (where some emissions savings of the extra nuclear plant are offset by an emissions rebound).4
The modelling approach developed is useful as it provides a method of including and indicating some economic interactions with the energy system in a relatively transparent manner. Stand alone economic models can lack energy system dynamics, while energy systems model are often decoupled from detailed economic interactions.
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| 2 |
ID:
115641
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2012.
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| Summary/Abstract |
Informed energy decision making requires effective software, high-quality input data, and a suitably trained user community. Developing these resources can be expensive and time consuming. Even when data and tools are intended for public re-use they often come with technical, legal, economic and social barriers that make them difficult to adopt, adapt and combine for use in new contexts. We focus on the promise of open, publically accessible software and data as well as crowdsourcing techniques to develop robust energy analysis tools that can deliver crucial, policy-relevant insight, particularly in developing countries, where planning resources are highly constrained-and the need to adapt these resources and methods to the local context is high. We survey existing research, which argues that these techniques can produce high-quality results, and also explore the potential role that linked, open data can play in both supporting the modelling process and in enhancing public engagement with energy issues.
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| 3 |
ID:
109616
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2011.
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| Summary/Abstract |
This paper discusses the design and development of the Open Source Energy Modeling System (OSeMOSYS). It describes the model's formulation in terms of a 'plain English' description, algebraic formulation, implementation-in terms of its full source code, as well as a detailed description of the model inputs, parameters, and outputs. A key feature of the OSeMOSYS implementation is that it is contained in less than five pages of documented, easily accessible code. Other existing energy system models that do not have this emphasis on compactness and openness makes the barrier to entry by new users much higher, as well as making the addition of innovative new functionality very difficult. The paper begins by describing the rationale for the development of OSeMOSYS and its structure. The current preliminary implementation of the model is then demonstrated for a discrete example. Next, we explain how new development efforts will build on the existing OSeMOSYS codebase. The paper closes with thoughts regarding the organization of the OSeMOSYS community, associated capacity development efforts, and linkages to other open source efforts including adding functionality to the LEAP model.
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| 4 |
ID:
149854
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| Summary/Abstract |
Energy plays a crucial role in economic development. The article presents a framework for the analysis of alternative energy technology mixes in agricultural production and applies it in the context of sisal production in the Tanga region, Tanzania. Through scenario analysis, the paper presents both case-specific and generalizable insights. Case-specific insights show the key role that modern uses of energy and modern agricultural technologies could play in increasing productivity and revenues, in minimizing environmental degradation, and in promoting local development. Generalizable insights demonstrate the value of using sector-specific micro-structural frameworks and scenario analysis for assessing different technologies mixes in the energy and agriculture planning process.
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