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Abstract: Sustainability policies that have quantitative emission or carbon footprint measurements are important in view of climate change and current rapid urbanization in developing countries like Malaysia. Although sustainability policies are mentioned in national development plan as early as in the 1990s, many of these policies are piecemeal and expressed qualitatively. In achieving environmental sustainability, planning of city or a region can be more functional and implementable by using low carbon city concept. Planning a low carbon city uses sustainable development principles; this demonstrates a high level of energy efficiency using low carbon energy sources and production technologies. It also adopts patterns of consumption and behavior that are consistent with low levels of greenhouse gas emissions in the urban areas. The planning of the fast developing region of Iskandar Malaysia, which is located in southern part of Peninsular Malaysia, provides a good opportunity for urban managers to incorporate the ideas of low carbon cities in this proposed high growth urban conurbation. This paper aims to explore implementation of the concept and vision of low carbon scenarios and examine the strategies toward the reduction of CO2 emission. This study also prepares a quantitative scenario study on the establishment of low carbon urban development in Iskandar Malaysia. [Copyright &y& Elsevier]

Abstract: This paper presents the possibility for Thailand to become a low-carbon society (LCS). The methodology involves development of current CO2emission inventory, and quantification of socio-economic activity level in 2030. In this study, the increase of CO2 emissions is estimated based on i) 2030 BAU (business-as-usual) without mitigation measures, and ii) 2030 CM (climate change mitigation measures) assumptions of employed demand-side technologies as well as the potential to reduce the CO2 emissions by low-carbon measures available during 2005–2030. In this study, only selected climate change mitigation options, which have been found to be cost effective, are included in the 2030 CM scenario. Several comprehensive demand-side measures such as diffusion of low-carbon technologies in the residential sector, energy efficient buildings, energy efficient industry and fuel switching, and fuel substitution in the transport sector are proposed. Results show that i) the annual CO2 emissions in the base year of 2005 are 185,983kilo-ton (kt) of CO2, ii) under the scenario without climate change mitigation measures (the BAU scenario), year 2030 CO2 emissions would increase to 563,730kt-CO2 or 3.03 times that of the base year 2005, and iii) by adopting the selected climate change mitigation measures, CO2 emissions can be decreased approximately 28.4% compared to the 2030 BAU scenario, i.e. to 403,642kt-CO2. The research findings hope to contribute to sustainable energy and environmental transition of Thailand, one of the fastest growing economies in Southeast Asia, towards a Thai low carbon society. [Copyright &y& Elsevier]

In this paper we draw up future roadmaps for technologies, policies, and optimal investment timing toward the achievement of a low-carbon society (LCS) in Japan by 2050. Future pathways for Japan to follow are calculated using an analytical model based on a backcasting methodology. Early actions can lead to pathways for minimizing the costs toward a LCS in Japan. However, to take early actions, large investments will be needed at the initial stages. The investment requirements for the residential and commercial sector and transportation sector will be especially costly: The former reaching 2.5 trillion JPY annually from 2010 to 2025 and the latter reaching 2.5 trillion JPY annually from 2010 to 2015. There are four main advantages to early actions. (1) Technologies have learning-by-doing effects: The additional cost of reducing CO2 emissions will fall as the technologies spread. (2) If actions are delayed, learning-by-doing effects may fail to work sufficiently, resulting in higher total investment requirements for achieving a LCS. (3) No infrastructure can be built immediately; hence it would be difficult to switch suddenly to a LCS in the years just before 2050. (4) Future technological development has several uncertainties. If the development of one of the currently dominant technologies falls behind schedule, it will fail to spread as expected and CO2 emission targets will not be met. Early actions will open up new opportunities for the spread of alternative actions toward the LCS should a dominant technology fail in some way. [ABSTRACT FROM AUTHOR]

In order to respond to climate change, it is essential to describe possible future greenhouse gas (GHG) emission trajectories in both nonintervention and intervention terms. This paper analyzes long-term GHG mitigation emission scenarios according to alternative development paths in the world and major regions, based on the nonintervention emission scenarios quantified by the Asian-Pacific Integrated Model (AIM). AIM is revised and applied to the quantification of narrative storylines for scenarios of socioeconomic development, and GHG emissions from energy use, land-use change, and industrial production processes are simulated. A wide range of mitigation policies are adopted in this simulation as responses to the climate change. Several target stabilized levels–650, 550 and 450 ppmv–are analyzed. The results show that to achieve stabilization at a different GHG concentration level, a policy package is essential to reach the target concentration level, rather than a single policy. Energy efficiency improvement will be a key contributor to the reduction of GHG emissions as a result of the policy package. The mitigation cost could be at a medium level, without a large loss of economic growth. The developing world could significantly reduce GHG emissions compared with nonmitigation scenarios with sufficient knowledge transfer from developed countries. [ABSTRACT FROM AUTHOR]

Highlights: [•] Detailed energy end-use technology information is considered within a CGE model. [•] Aggregated macro results of the detailed model are similar to traditional model. [•] The detailed model shows unique characteristics in the household sector. [ABSTRACT FROM AUTHOR]

This paper performs energy model hindcasting which compared the historical energy simulation results with the observations. We used one of the Integrated Assessment Models and simulated global historical energy consumption from 1981 to 2010 associated with exogenous socioeconomic assumptions, as is typically performed for future scenario. The simulation period was chosen with consideration of data availability and structural constancy of the model. Based on comparison with observations, there are three main findings. First, the global aggregated primary energy shows high reproducibility. In terms of energy source specific results, the fitness in electricity, coal, and biomass consumption were high. However, that of crude oil and natural gas is lower than others. This could be due to the price elasticity assumption, implying that the model can be improved with regard to this element. Second, the reproducibility increases as the simulation is close to the base year 2005. Third, although the global aggregated information shows high reproducibility, some disaggregated regions have lower reproducibility. Furthermore, high income countries tend to show higher reproducibility than in low income countries. Given the uncertainties in the ability of IAMs to reproduce certain aspects of the energy system, forecasts must be treated with caution. [ABSTRACT FROM AUTHOR]

Energy plays a dominant role in determining the individual competitiveness of a country and this is more relevant to emerging economies. That being said, energy also plays an important and ever expanding role in carbon emissions and sustainability of the country. As a developing country Thailand's industrial sector is vibrant and robust and consumes majority of the energy. In addition, it also has the highest CO2 emissions, provided the emissions of power generation are taken into account. Industry also accounts for the highest consumption of electricity in Thailand. The objective of this study is to model the Thai industrial energy sector and estimate the mitigation potential for the timeframe of 2010-2050 using the principles of Low Carbon Society (LCS). In addition, the paper would also evaluate emission tax as a key driver of Greenhouse Gas (GHG) mitigation along with Marginal Abatement Cost (MAC) analysis. Another secondary objective is to analyse the impact of mitigation on energy security of the industrial sector. The Thai industrial sector was modelled using AIM/Enduse model, which is a recursive dynamic optimisation model belonging to the Asia-Pacific Integrated Model (AIM) family. Thai industrial sector was divided into nine sub-sectors based on national economic reporting procedures. Results suggest that the mitigation potential in 2050, compared to the Baseline scenario, is around 20% with positive impacts on energy security. The Baseline emission will approximately be 377 Mt-CO2 in the industrial sector. All four indicators of energy security, Primary Energy Intensity, Carbon Intensity, Oil Share and Diversification of Fuel Share would exhibit enhanced energy security levels. The new Counter Measures (CM) proposed, such as, new and advanced technologies and fuel switching would drive the mitigation levels. Increase in energy efficiency of heating and electricity use would reduce the primary energy demand and intensity. [ABSTRACT FROM AUTHOR]