A comparative study of households' electricity consumption characteristics in Indonesia: A techno-socioeconomic analysis

Wijaya, Muhammad Ery; Tezuka, T.

doi:10.1016/j.esd.2013.09.004

Cited by 53 publications

(35 citation statements)

References 25 publications

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“…Few studies have paid attention to the issues about household electricity consumption with the view of historical changes or intertemporal comparisons. Lacking the necessary data is the main barrier to studying household electricity consumption [1]. To compare the estimation results along the time dimension, Nesbakken [14], Kaza [19] and Huang [9] employed the cross-sectional household data from different years in order to depict the trends in the marginal effects of various variables on household energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Analysis on the Changes of Household Electricity Consumption over the Past Three Decades

Huang¹

2019

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This study uses the Blinder-Oaxaca decomposition to investigate what are the main reasons that contribute to the changes of household electricity consumption. The household data in Taiwan over the period 1985-2015 are used. The empirical results indicate that the changes of household electricity consumption are driven by different factors across these three decades. The increase in household electricity consumption is mainly attributed to the changes in the coefficients effect of the determinants. In particular, the coefficients effect of household size plays the most important role. The declining of household size leads to electricity consumption per capita increases due to the loss of economies of scale. As for the contribution of the endowments effect, the number of air condition and household income are the most important factors. Moreover, the coefficients effect of household size is crucial both for high-income and low-income households. Therefore, the policy implication means that the electricity pricing policy should take household size into consideration so as to offer electricity-saving incentives for households with smaller family size. Besides, some strategies, such as improving energy efficiency of appliances and providing the subsidy for the investment in energy-efficient appliances, should have a higher priority.

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Section: Introductionmentioning

confidence: 99%

Analysis on the Changes of Household Electricity Consumption over the Past Three Decades

Huang¹

2019

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“…The monthly net income from oil palm plantations was reported to be around 500 USD/month per household (Feintrenie et al, 2010;Lee et al, 2014). Considering that the electricity bill accounts for, at most, less than 5% of the income (Wijaya & Tezuka, 2013), the corresponding ET under the current level of household demand should be less than 2.1 USD/kWh. For the case of villages with 300 households: At a biochar price of 500 USD/ton, the system can reach the NPV break-even point at the current ET level with a capacity factor of around 44% and a corresponding daily electricity consumption of 6.4kWh.…”

Section: Monte Carlo Simulation (A) Village -Npvmentioning

confidence: 99%

Techno-economic and greenhouse gas savings assessment of decentralized biomass gasification for electrifying the rural areas of Indonesia

et al. 2017

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This study explored the feasibility of decentralized gasification of oil palm biomass in Indonesia to relieve its over-dependence on fossil fuel-based power generation and facilitate the electrification of its rural areas. The techno-feasibility of the gasification of oil palm biomass was first evaluated by reviewing existing literature. Subsequently, two scenarios (V1 and V2, and M1 and M2) were proposed regarding the use cases of the village and mill, respectively. The capacity of the gasification systems in the V1 and M1 scenarios are determined by the total amount of oil palm biomass available in the village and mill, respectively. The capacity of the gasification systems in the V2 and M2 scenarios is determined by the respective electricity demand of the village and mill. The global warming impact and economic feasibility (net present value (NPV) and levelized cost of electricity (LCOE)) of the proposed systems were compared with that of the current practices (diesel generator for the village use case and biomass boiler combustion for the mill use case) using life cycle assessment (LCA) and cost-benefit analysis (CBA). Under the current daily demand per household (0.4 kWh), deploying the V2 system in 10 4 villages with 500 households each could save up to 17.9 thousand tons of CO 2-eq per year compared to the current diesel-based practice. If the electricity could be fed into the national grid, the M1 system with 100% capacity factor could provide yearly GHG emissions mitigation of 5.8×10 4 ton CO 2-eq , relative to the current boiler combustion-based reference scenario. M1 had a positive mean NPV if the electricity could be fed into the national grid, while M2 had a positive mean NPV at the biochar price of 500 USD/ton. Under the current electricity tariff (ET) (0.11 kWh) and the biochar price of 2650 USD/ton, daily household demands of 2 and 1.8 kWh were required to reach the break-even point of the mean NPV for the V2 system for the cases of 3 300 and households, respectively. The average LCOE of V2 is approximately one-fourth that of the reference scenario, while the average LCOE of V1 is larger than that of the reference scenario. The average LCOE of M1 decreased to around 0.06 USD/kWh for the case of a 100% capacity factor. Sensitivity analysis showed that the capital cost of gasification system and its overall electrical efficiency had the most significant effects on the NPV. Finally, practical system deployment was discussed, with consideration of policy formulation and fiscal incentives.

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“…However, there is a high variation between case studies (Ürge-Vorsatz et al 2009, Lopes et al 2012. More so, the integration of technical, economic, and sociocultural factors in the research on residential energy consumption and climate change remains limited (Wijaya and Tezuka 2013, Lutzenhiser 2014, Sovacool 2014, Schmidt and Weigt 2015 The gap is particularly true for the research on developing countries and for scales larger than individual buildings , where the rapidly transforming built environment will have significant longterm impacts on infrastructure, energy, and GHG emissions (Bredenoord et al 2014, Charoenkit and Kumar 2014, Seto et al 2016.…”

Section: Introductionmentioning

confidence: 99%

Energy demand transitions and climate mitigation in low-income urban households in India

Khosla

Sircar

Bhardwaj

2019

Environ. Res. Lett.

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Growing household energy demand, particularly in developing countries starting from a low base of consumption, is an important driver of current and future greenhouse gas emissions. Yet, our understanding of transitioning residential energy demand in developing country contexts is limited. This paper discusses changing energy service demands in urban low-income households in India, an emerging economy where the largest future growth in energy demand globally is projected to occur, and where 12 million new low-income homes for the urban poor are to be built by the government between 2015 and 2022. Based on mixed quantitative and qualitative methods comprising of surveys, interviews and focus group discussions, we analyze two inter-related questions: how does the demand for energy services change as the ability of low-income households to consume increases; and how do energy related behaviors influence household electricity consumption? We analyze the data collected to rank households according to their ability to consume and to identify the types of, and progression in, energy services acquired. The appliances and associated services pursued are lights, fans, televisions, and refrigerators, with varied energy efficiencies. Analogously, we quantify the influence of behavior in determining electricity consumption, and show that the inclusion of socio-demographic and behavioral factors explain a significant proportion (51%) of the variance in household electricity consumption, along with the role of material factors such as building physical characteristics and appliance stocks. We complement the statistical analysis with qualitative fieldwork and discuss changing energy related behaviors as the ability of households to consume increases. We conclude with recommendations for climate actions that are compatible with development in the growing lowincome housing stock.

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A comparative study of households' electricity consumption characteristics in Indonesia: A techno-socioeconomic analysis

Cited by 53 publications

References 25 publications

Analysis on the Changes of Household Electricity Consumption over the Past Three Decades

Analysis on the Changes of Household Electricity Consumption over the Past Three Decades

Techno-economic and greenhouse gas savings assessment of decentralized biomass gasification for electrifying the rural areas of Indonesia

Energy demand transitions and climate mitigation in low-income urban households in India

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